EAIIT™ · AI Foundation & Applied Transformer
Infrastructure Services / Banking & Insurance
15 Connected Tabs
DTskill / IndustryToAI™ / EAIIT™ / DTAIG™

AI Foundation &
Applied Transformer

EAIIT™ — 3 Business Days | Infrastructure Services · Banking & Insurance. A role-based, practical journey from AI understanding to governed infrastructure workflow transformation.

3
Business Days

Foundation → Practitioner → Applied Transformer

5 × 25
Transformation Framework

Five executive groups, 25 process steps

35
Candidate AI Solutions

Across reliability, cloud, security, resilience and governance

25
DTAIG™ Exercises

Mapped to AI Journey levels L1–L6

22
Proposed Certifications

ISBI specialization framework

12
Achievement Badges

Evidence-based learning milestones

Designed for infrastructure teams serving banks & insurers

Enterprise IT Infrastructure, Cloud, Data Centers, Networks, IT Operations, Cybersecurity, Service Management, Resilience and Infrastructure Transformation. This edition does not cover retail banking, underwriting, lending or claims workflows.

Learning progression

DAY 01

AI Foundation & Awareness

Industry AI terminology, transformation approaches, responsible AI and role impact.

DAY 02

AI Practitioner & Application

Prompts, copilots, RAG, incident investigation, AI solution types and applied games.

DAY 03

Applied Transformer

Current-state workflow, AI opportunities, future-state redesign, controls and capstone.

Training content and case studies are illustrative; no real banking systems are connected. All production actions require authorized human control.

Workshop structure / 3 business days

Three-Day Curriculum

Proposed instructor-led timetable: 09:00–16:30 each day, adaptable to client needs. The source defines content and learning progression; session timings below are a workshop design proposal.

DAY 1 · FOUNDATION

Awareness, terminology & responsible use

09:00 — Discovery & role baseline
10:00 — AI and infrastructure terminology
11:30 — Transformation solutions
13:00 — AI solution types and journey
14:30 — DTAIG: Name That AI / AI Detective
15:30 — Responsible AI and verification
16:15 — Reflection & knowledge check

Outputs: baseline, terminology map, role-impact notes.

DAY 2 · PRACTITIONER

Applied AI in infrastructure operations

09:00 — Prompt Ladder and Prompt Redraft
10:00 — Major Incident Copilot lab
11:30 — RAG / knowledge retrieval
13:00 — Predictive and decision-support AI
14:00 — Solutions portfolio and use cases
15:00 — DTAIG: Incident Detective / Risk Radar
16:00 — Human-review matrix

Outputs: verified prompts, incident analysis, solution shortlist.

DAY 3 · TRANSFORMER

Workflow redesign & capstone

09:00 — Five executive groups / 25 steps
10:15 — Current-state workflow mapping
11:30 — Bottlenecks and opportunity scoring
13:00 — AI solution architecture
14:00 — Future-state workflow and controls
15:00 — DTAIG: Workflow Builder / Pitch
16:00 — Scorecard and presentation

Outputs: current/future workflow, risk checklist, capstone pitch.

Assessment weighting

AI terminology 15% · DTAIG™ games 15% · Applied exercises 20% · Verification and security 15% · Workflow transformation 25% · Final presentation 10%.

Proposed overall passing threshold: 70%, subject to mandatory security and human-review requirements.

FOUNDRY 5 / STUDIO 01

Industry AI Terminology

A. Common AI terminology

Terminology Definition Banking & Insurance Infrastructure Example Easy Analogy
Artificial Intelligence Systems performing tasks involving pattern recognition, interpretation or reasoning Classifying infrastructure incidents Digital analyst
Machine Learning Models trained to identify patterns in data Detect recurring server failure patterns Learning from experience
Generative AI Creates text, code and other content Draft incident summaries Digital writer
Large Language Model Language model that understands and generates text Explains technical logs Language engine
Prompt Engineering Designing instructions for AI Request a structured change-risk summary Clear work instructions
Retrieval-Augmented Generation Grounds responses in retrieved documents Answers from approved operating procedures Librarian plus analyst
Conversational AI Natural-language interaction Ask about a backup procedure Talking to a knowledge base
AI Copilot Human-directed task assistance Infrastructure troubleshooting copilot Co-driver
AI Assistant Contextual operational support Daily infrastructure health assistant Digital helper
Predictive AI Forecasts potential outcomes Predict storage exhaustion Weather forecast
Decision-Support AI Evaluates alternatives Recommend maintenance priorities Decision adviser
AI Agent Performs bounded tasks with tools Collect evidence for an incident ticket Digital task worker
Agentic AI Coordinates multiple tasks and agents Investigate, propose, approve and verify recovery Coordinated operations team
Digital Twin Digital representation of assets or systems Simulate a data-center failure Flight simulator
Explainable AI Provides interpretable reasons for outputs Show drivers of infrastructure risk Showing the working
Responsible AI Safe, accountable and governed AI practices Require human approval for production changes Safety guardrails

B. Banking & Insurance infrastructure terminology

Terminology Definition Industry Example Easy Analogy
IT Infrastructure Management Management of compute, storage, network and platforms Supporting core banking applications Technology foundation
Hybrid Cloud Combined on-premises and cloud environments Hosting regulated workloads across environments Two connected facilities
Infrastructure as Code Infrastructure configured through version-controlled code Deploying approved server configurations Blueprint-driven construction
AIOps AI-assisted IT operations analytics Correlating application and infrastructure alerts Operations radar
ITSM Structured IT service management Incident, problem and change management Service control desk
CMDB Records of configuration items and relationships Mapping servers to critical services Asset family tree
Observability Visibility into system behavior using metrics, logs and traces Monitoring transaction-service latency System health monitor
SRE Reliability engineering practices Managing service-level objectives Reliability engineering team
SLA / SLO Service commitments and reliability objectives Availability targets for payment infrastructure Service promise
Disaster Recovery Restoring operations after disruption Recovering a secondary data center Emergency recovery plan
RTO Target maximum recovery time Restore a critical service within its approved target Recovery stopwatch
RPO Target maximum tolerable data-loss interval Restore data to an approved recovery point Recovery rewind point
High Availability Design for continued service despite component failure Redundant infrastructure supporting policy systems Backup engine
Zero Trust Security model requiring continuous verification Validate privileged infrastructure access Check every access
IAM / PAM Identity and privileged access management Control administrator access Digital key management
SIEM / SOAR Security event monitoring and response orchestration Investigate suspicious privileged activity Security control room
Vulnerability Management Identifying and addressing weaknesses Prioritize exposed infrastructure vulnerabilities Preventive inspection
Configuration Drift Deviation from approved configurations Server settings differ from baseline Blueprint mismatch
Data Residency Rules governing where data is stored or processed Restrict sensitive records to approved regions Geographic data boundary
Third-Party Risk Risk introduced by vendors and service providers Assess cloud and managed-service dependencies Supplier safety check
Operational Resilience Ability to maintain and recover critical services Continue banking services during infrastructure disruption Business shock absorber
Change Advisory Board Governance for evaluating significant changes Review high-risk production infrastructure changes Change safety committee

Learning activity: Identify the differences between conventional monitoring, automation, predictive AI and AI agents using infrastructure operations examples.

FOUNDRY 5 / STUDIO 02

Transformation Solutions

Transformation Solution Description Banking & Insurance Infrastructure Example Illustrative Benefit Hypothesis Related AI Solution Types Executive KPI
Business Intelligence Unified infrastructure reporting Enterprise infrastructure scorecard 20–40% faster report preparation AI Assistant Reporting Time
Advanced Analytics Cross-system pattern analysis Recurring outage analysis 15–35% faster analysis AI Assistant, Predictive AI Investigation Time
Process Automation Rule-based repetitive task execution Ticket routing 30–60% less manual routing AI Agent Automation Rate
Hyperautomation Connects automation and AI Alert-to-ticket-to-review workflow 20–45% less coordination AI Agents Workflow Time
Generative AI Creates summaries and explanations Major incident reporting 25–50% faster drafting Copilot Drafting Time
Enterprise RAG Retrieves approved enterprise knowledge Infrastructure SOP assistant 30–60% faster retrieval Conversational AI Knowledge Access
AIOps Correlates IT operational events Detect shared infrastructure incidents 20–40% less triage effort Predictive AI, AI Assistant MTTD
Predictive Maintenance Forecasts infrastructure failure risk Storage or hardware failure prediction 15–30% earlier warning Predictive AI Failure Lead Time
Anomaly Detection Identifies unusual operational behavior Abnormal database latency 20–40% faster anomaly triage Predictive AI Detection Time
Cloud Optimization Improves cloud resource allocation Right-size noncritical workloads 10–25% potential resource efficiency Decision-Support AI Resource Cost
Capacity Forecasting Predicts future resource demand Payment platform compute demand 15–30% faster planning Predictive AI Forecast Accuracy
Security Analytics Analyzes threats and exposure Privileged access anomalies 20–40% faster investigation preparation Predictive AI, Copilot Security Triage
Intelligent Document Processing Extracts structured information Audit evidence processing 30–60% less extraction effort AI Assistant Evidence Preparation
Configuration Intelligence Detects baseline differences Identify unauthorized server drift 20–40% faster drift analysis AI Assistant, AI Agent Drift Resolution
Digital Twin Simulates infrastructure behavior Data-center outage simulation 15–30% faster scenario analysis Copilot, Predictive AI Simulation Time
Process Orchestration Coordinates work across systems Change request to verification 20–40% less handoff effort AI Agents Change Cycle
Decision Intelligence Supports evidence-based choices Change risk recommendation 15–30% faster decision preparation Copilot Review Time
Control Tower AI Consolidates enterprise infrastructure intelligence Infrastructure operations control tower 20–40% faster status consolidation AI Assistant Operational Visibility
Resilience Intelligence Evaluates recovery readiness DR gap analysis 20–40% faster assessment preparation Copilot Recovery Readiness
Agentic AI Governed multistep coordination Investigate → recommend → approve → verify 20–40% less repetitive coordination Agentic AI Decision-to-Action Time

All percentages are hypothetical targets for workshop evaluation, not observed benefits or validated benchmarks.

FOUNDRY 5 / STUDIO 03

AI Solution Types

AI Solution Type Possible Solution Example Scenario Simulated Output Human Control
Conversational AI Infrastructure Knowledge Assistant Ask for approved recovery procedures Cited runbook guidance Verify sources and access rights
AI Copilot Major Incident Copilot Analyze incident chronology Draft incident summary and investigation plan Incident manager validates
AI Assistant Infrastructure Health Assistant Review daily service health Consolidated health briefing Operations team verifies
Predictive / Decision-Support AI Infrastructure Failure Predictor Assess storage and compute risk Failure-risk score and contributing factors Engineer owns decision
AI Agents Infrastructure Investigation Agent Collect approved logs, metrics and ticket records Evidence package and draft escalation Restricted tool permissions
Agentic AI Controlled Infrastructure Operations Orchestrator Coordinate investigation, change preparation and verification Multistep workflow and approval requests Human authorization for production actions

Synthetic exercise — Critical banking service degradation

INF-INC-1042

Synthetic scenario

A payment-processing application experiences elevated latency after a scheduled infrastructure change.

Evidence: Latency increases from 180 ms to 760 ms. Storage I/O warnings appear. An application deployment also occurred within the same period.

Participant task: Use an AI Copilot to summarize evidence, distinguish confirmed facts from hypotheses, identify missing telemetry and prepare an investigation plan.

Required guardrail: Do not conclude that storage caused the incident without evidence. No production changes or rollback actions may occur without authorized review.

FOUNDRY 5 / STUDIO 04

Executive Transformation Matrix — 5 Steps

The five executive groups represent the end-to-end infrastructure services lifecycle for banking and insurance environments.

Step Process / Activity Tools / Systems Data Sources Data Connectivity Options Transformation Solutions Possible AI Solution Types KPI / Outcome
1 Infrastructure Strategy, Architecture & Asset Management — discovery, inventory, lifecycle planning, capacity and architecture CMDB, Discovery, Cloud Management, Architecture Repositories Asset inventory, topology, utilization, lifecycle records API, SQL, approved exports Data Engineering, Predictive Analytics, Digital Twin AI Assistant, Copilot, Predictive AI Asset Accuracy ↑; Planning Time ↓
2 Infrastructure Provisioning, Cloud & Platform Engineering — resource requests, configuration, deployment, compliance and release ITSM, IaC, CI/CD, Cloud Platforms, Configuration Management Service requests, templates, build logs, policies REST API, Git, approved automation interfaces Automation, Hyperautomation, Configuration Intelligence Copilot, AI Agents Provisioning Time ↓; Configuration Compliance ↑
3 Infrastructure Monitoring, Reliability & Service Assurance — observability, event correlation, incident detection, impact and prediction Monitoring, APM, Observability, ITSM, AIOps Metrics, logs, traces, alerts, dependency maps APIs, event streams, OpenTelemetry AIOps, ML, Predictive Analytics AI Assistant, Predictive AI, Copilot MTTD ↓; Availability ↑
4 Cybersecurity, Risk, Compliance & Resilience — vulnerability management, privileged access, change risk, audit and disaster recovery SIEM, SOAR, IAM, PAM, GRC, Backup/DR Security events, access logs, policies, evidence, recovery tests Governed APIs, read-only exports, secure connectors Security Analytics, RAG, Decision Intelligence AI Assistant, Copilot, AI Agents Risk Exposure ↓; Recovery Readiness ↑
5 Infrastructure Optimization, Service Transformation & Governance — optimization, vendor performance, service intelligence, workflow redesign and controlled orchestration FinOps, BI, ITSM, Service Portfolio, Workflow Engine Cloud cost, SLAs, service KPIs, process data, approval records API, data lakehouse, event bus Optimization, Control Tower AI, Agentic AI Predictive AI, AI Agents, Agentic AI Cost Efficiency ↑; Service Quality ↑
FOUNDRY 5 / STUDIO 05

Process Transformation Matrix — 25 Steps

Group 1 — Infrastructure Strategy, Architecture & Asset Management

Step Group Process / Activity Tools / Systems Data Sources Connectivity Transformation Solution Possible AI Solution Types KPI / Outcome
1 Strategy & Assets Infrastructure Discovery & Classification CMDB, Discovery Asset records, topology API, export Data Engineering AI Assistant Asset Visibility ↑
2 Strategy & Assets CMDB & Dependency Reconciliation CMDB, Discovery Configuration items, service maps API, SQL ML, Automation AI Agent Inventory Accuracy ↑
3 Strategy & Assets Asset Lifecycle & Obsolescence Assessment ITAM, CMDB Support dates, asset age API, batch Predictive Analytics Predictive AI Lifecycle Risk ↓
4 Strategy & Assets Infrastructure Capacity Forecasting Monitoring, Planning CPU, memory, storage, traffic Telemetry, API Forecasting Predictive AI Forecast Accuracy ↑
5 Strategy & Assets Architecture & Resilience Planning Architecture, Simulation Dependencies, failure domains Approved export Digital Twin, Decision Intelligence Copilot Planning Time ↓

Group 2 — Infrastructure Provisioning, Cloud & Platform Engineering

Step Group Process / Activity Tools / Systems Data Sources Connectivity Transformation Solution Possible AI Solution Types KPI / Outcome
6 Provisioning & Cloud Infrastructure Request Intake ITSM, Service Catalogue Requests, approvals REST API Automation, GenAI AI Assistant Intake Time ↓
7 Provisioning & Cloud Resource & Environment Feasibility Cloud, CMDB, Capacity Tools Quotas, resource availability API Decision Intelligence Copilot Feasibility Time ↓
8 Provisioning & Cloud Infrastructure as Code Preparation IaC, Git, CI/CD Approved templates, standards Git, API GenAI, Automation Copilot Drafting Time ↓
9 Provisioning & Cloud Configuration Compliance Verification Configuration, Policy Tools Baselines, deployment evidence API, scan results Configuration Intelligence AI Assistant, AI Agent Configuration Drift ↓
10 Provisioning & Cloud Deployment & Change Verification CI/CD, ITSM, Monitoring Build logs, change records, health checks API, event streams Orchestration AI Agent Deployment Quality ↑

Group 3 — Infrastructure Monitoring, Reliability & Service Assurance

Step Group Process / Activity Tools / Systems Data Sources Connectivity Transformation Solution Possible AI Solution Types KPI / Outcome
11 Monitoring & Reliability Infrastructure Telemetry Collection Observability, Monitoring Logs, metrics, traces OpenTelemetry, API Data Engineering AI Assistant Coverage ↑
12 Monitoring & Reliability Event Filtering & Correlation AIOps, Event Management Alerts, event history Event stream, API AIOps, ML Predictive AI Alert Noise ↓
13 Monitoring & Reliability Incident Detection & Prioritization ITSM, Monitoring Alerts, service criticality API Anomaly Detection AI Assistant, Predictive AI MTTD ↓
14 Monitoring & Reliability Application & Infrastructure Impact Analysis APM, CMDB, Service Mapping Dependencies, traces, incidents API, graph queries Advanced Analytics Copilot Impact Assessment Time ↓
15 Monitoring & Reliability Predictive Failure & Availability Assessment Analytics, Observability Historical faults, utilization Streaming, batch Predictive Analytics Predictive AI Failure Warning Lead Time ↑

Group 4 — Cybersecurity, Risk, Compliance & Resilience

Step Group Process / Activity Tools / Systems Data Sources Connectivity Transformation Solution Possible AI Solution Types KPI / Outcome
16 Security & Resilience Vulnerability Exposure Prioritization Vulnerability Scanner, CMDB CVEs, exposure, asset criticality API, export Risk Analytics Decision-Support AI Remediation Priority Quality ↑
17 Security & Resilience Privileged Access Anomaly Review IAM, PAM, SIEM Access events, identities Read-only API Anomaly Detection Predictive AI, AI Assistant Review Time ↓
18 Security & Resilience Change Risk & Control Assessment ITSM, GRC Changes, policies, incidents API, RAG Decision Intelligence Copilot Change Risk Visibility ↑
19 Security & Resilience Audit & Compliance Evidence Preparation GRC, ITSM, Document Repository Controls, approvals, evidence Approved retrieval RAG, Document Intelligence AI Assistant Evidence Preparation ↓
20 Security & Resilience Backup, Disaster Recovery & Resilience Validation Backup/DR, Monitoring Recovery logs, test records, RTO/RPO targets API, approved export Resilience Intelligence Copilot, AI Agent Recovery Readiness ↑

Group 5 — Infrastructure Optimization, Service Transformation & Governance

| Step | Group | Process / Activity | Tools / Systems | Data Sources | Connectivity | Transformation Solution | Possible AI Solution Types | KPI / Outcome |
|---|---|---|---|---|---|---|---|---|---|
| 21 | Optimization & Governance | Cloud & Infrastructure Cost Optimization | FinOps, Cloud Billing | Usage, spend, reservations | Billing API | Optimization | Decision-Support AI | Unit Cost ↓ |
| 22 | Optimization & Governance | SLA & Vendor Performance Intelligence | ITSM, Vendor Management | SLAs, service reports, contracts | API, document retrieval | BI, Predictive Analytics | AI Assistant | SLA Visibility ↑ |
| 23 | Optimization & Governance | Current-State Workflow & Bottleneck Analysis | Process Mapping, ITSM | Workflow logs, handoffs | API, workshop input | Process Intelligence | Copilot | Workflow Visibility ↑ |
| 24 | Optimization & Governance | Infrastructure Operations Control Tower | BI, AIOps, GRC | Health, risk, cost, service KPIs | Data lakehouse, API | Control Tower AI | AI Assistant | Decision Visibility ↑ |
| 25 | Optimization & Governance | Controlled Agentic Operations & Continuous Improvement | Workflow, ITSM, Orchestration | Approved tasks, policies, outcomes | Governed APIs, event bus | Agentic AI | Agentic AI | Coordination Time ↓ |

Control principle: Infrastructure access, customer information, privileged credentials and regulated workloads must be protected. Read-only integrations and synthetic datasets should be the default for workshop exercises.

FOUNDRY 5 / STUDIO 06

Industry Use Cases

Group Use Case Transformation Solutions AI Solution Type Business Outcome
Strategy & Assets Infrastructure Discovery Assistant Data Engineering, Knowledge AI AI Assistant Faster asset discovery
Strategy & Assets CMDB Reconciliation Agent ML, Automation AI Agent More accurate configuration records
Strategy & Assets Asset Obsolescence Predictor Predictive Analytics Predictive AI Earlier lifecycle-risk identification
Strategy & Assets Infrastructure Capacity Predictor Time-Series Forecasting Predictive AI Better capacity planning
Strategy & Assets Resilience Architecture Copilot Digital Twin, Decision Intelligence Copilot Faster architecture evaluation
Provisioning & Cloud Infrastructure Request Assistant GenAI, Automation AI Assistant Faster request preparation
Provisioning & Cloud Cloud Resource Feasibility Copilot Decision Intelligence Copilot Improved resource selection
Provisioning & Cloud Infrastructure as Code Copilot GenAI, Code Assistance Copilot Faster initial IaC preparation
Provisioning & Cloud Configuration Drift Investigation Agent Configuration Intelligence AI Agent Faster drift investigation
Provisioning & Cloud Deployment Verification Agent Automation, Orchestration AI Agent Better deployment evidence
Monitoring & Reliability Intelligent Event Correlation AIOps, ML Predictive AI Reduced alert noise
Monitoring & Reliability Major Incident Copilot GenAI, RAG Copilot Faster investigation preparation
Monitoring & Reliability Service Dependency Impact Assistant Graph Analytics AI Assistant Faster impact assessment
Monitoring & Reliability Infrastructure Failure Predictor Predictive Analytics Predictive AI Earlier risk warning
Monitoring & Reliability Infrastructure Health Assistant BI, Monitoring Analytics AI Assistant Better operational visibility
Security & Resilience Vulnerability Prioritization AI Security Analytics Decision-Support AI Risk-based remediation
Security & Resilience Privileged Access Anomaly Detector ML, Security Analytics Predictive AI Faster anomaly identification
Security & Resilience Change Risk Assessment Copilot RAG, Decision Intelligence Copilot Better change-risk preparation
Security & Resilience Compliance Evidence Assistant Document Intelligence, RAG AI Assistant Reduced evidence preparation
Security & Resilience Disaster Recovery Readiness Copilot Resilience Intelligence Copilot Better recovery preparedness
Optimization & Governance Cloud FinOps Optimization AI Optimization, Analytics Decision-Support AI Improved cost efficiency
Optimization & Governance SLA Intelligence Assistant BI, Predictive Analytics AI Assistant Improved service reporting
Optimization & Governance Workflow Transformation Copilot Process Intelligence Copilot Faster workflow redesign
Optimization & Governance Infrastructure Control Tower Control Tower AI AI Assistant Unified service, risk and cost view
Optimization & Governance Controlled Infrastructure Operations Orchestrator Agentic AI, Process Orchestration Agentic AI Governed multistep coordination
FOUNDRY 5 / STUDIO 07

Possible Case Studies

The case-study library uses specific, anonymous industry archetypes rather than named clients. This demonstrates how infrastructure AI patterns can transfer across banking, insurance and other industries.

# Possible Case Study Representative Client / Industry Problem AI / Analytics Solution Illustrative Outcome Related Use Case
1 Enterprise Asset Discovery National Insurance Provider Fragmented infrastructure inventory Discovery Analytics + AI Assistant 20–40% faster inventory analysis Infrastructure Discovery Assistant
2 CMDB Reconciliation Global Logistics Enterprise Configuration records differed from deployed assets ML + Reconciliation Agent 25–45% less manual reconciliation CMDB Reconciliation Agent
3 Asset Lifecycle Risk Prediction Regional Banking Technology Provider Legacy hardware replacement was reactive Predictive Analytics 15–30% earlier lifecycle-risk identification Asset Obsolescence Predictor
4 Capacity Demand Intelligence Subscription Media Business Seasonal demand created resource shortages Time-Series Forecasting 10–25% potential forecast improvement Infrastructure Capacity Predictor
5 Resilience Architecture Simulation National Payment Infrastructure Operator Complex infrastructure dependencies complicated recovery planning Digital Twin + Decision Intelligence 20–40% faster scenario comparison Resilience Architecture Copilot
6 Infrastructure Request Intelligence Large Healthcare Network Service requests were incomplete GenAI + Workflow Automation 30–50% faster request preparation Infrastructure Request Assistant
7 Cloud Resource Recommendation Global Retail Chain Cloud resources were inconsistently sized Resource Analytics + Copilot 10–25% potential efficiency improvement Cloud Resource Feasibility Copilot
8 Infrastructure as Code Assistance Enterprise Software Provider Repetitive configuration drafting slowed engineering GenAI Code Copilot 25–45% faster initial drafts Infrastructure as Code Copilot
9 Configuration Drift Detection Energy Distribution Enterprise Production configurations deviated from approved standards Configuration Analytics + AI Agent 20–40% faster drift investigation Configuration Drift Investigation Agent
10 Deployment Verification Intelligence Financial Technology Services Company Release evidence was manually compiled Automation + Verification Agent 30–50% less verification preparation Deployment Verification Agent
11 Infrastructure Event Correlation National Telecom Operator Multiple alerts obscured underlying incidents AIOps + Event Correlation 30–60% less alert triage effort Intelligent Event Correlation
12 Major Incident Intelligence Multi-National Insurance Group Incident teams manually summarized fragmented evidence GenAI + RAG 30–50% faster incident summary preparation Major Incident Copilot
13 Service Dependency Analysis Airport Technology Operations Provider Infrastructure failures affected multiple services Graph Analytics + AI Assistant 25–45% faster impact analysis Service Dependency Impact Assistant
14 Predictive Hardware Failure Heavy Equipment Manufacturer Critical infrastructure failures caused interruptions ML + Predictive Analytics 15–30% earlier failure warning Infrastructure Failure Predictor
15 Enterprise Health Intelligence Regional Banking Group Operations teams lacked consolidated health reporting BI + AI Assistant 20–40% faster status consolidation Infrastructure Health Assistant
16 Vulnerability Risk Prioritization National Retail Chain Large vulnerability backlogs were difficult to prioritize Risk Analytics + Decision AI 20–40% faster prioritization Vulnerability Prioritization AI
17 Privileged Access Intelligence Insurance Technology Services Provider Unusual privileged activity required manual review Anomaly Detection 25–45% faster triage preparation Privileged Access Anomaly Detector
18 Change Risk Intelligence Enterprise Cloud Services Company Production changes were reviewed using fragmented evidence RAG + Decision Copilot 20–40% faster change-review preparation Change Risk Assessment Copilot
19 Disaster Recovery Readiness Financial Market Infrastructure Provider Recovery evidence and dependency gaps were difficult to assess Resilience Analytics + Copilot 20–40% faster readiness assessment Disaster Recovery Readiness Copilot
20 Infrastructure Operations Control Tower Multi-Site Manufacturing Enterprise Cost, health, risk and service data were disconnected Control Tower AI + Analytics 30–50% faster operational consolidation Infrastructure Control Tower

These are hypothetical learning scenarios, not completed customer engagements. Every percentage is a proposed evaluation range, not a realized business outcome.

FOUNDRY 5 / STUDIO 08

AI Journey — L1–L6

The progression introduces AI fundamentals first, then increases the complexity of AI assistance, prediction, task execution and governed orchestration.

L1

AI Foundation & Awareness

Understand AI and responsible use

L2

AI Copilot

Human-directed task assistance

L3

AI Assistant

Contextual operational intelligence

L4

Predictive / Decision-Support AI

Forecast risks and evaluate options

L5

AI Agents

Execute bounded approved tasks

L6

Agentic AI

Coordinate governed multistep workflows

Banking & Insurance Infrastructure AI journey matrix

Level Capability Goal Infrastructure Scenario Required Guardrails Related Solutions Portfolio Possible DTAIG™ Games
L1 — AI Foundation Understand AI terminology, capabilities, risks and opportunities Classify infrastructure tasks as AI, analytics or conventional automation Approved tools, data classification, no sensitive data in public AI tools Infrastructure Knowledge Assistant, Opportunity Discovery Name That AI; AI Detective; AI or Automation
L2 — AI Copilot Improve human-led technical analysis and documentation Major Incident Copilot summarizes an outage and recommends investigation questions Human verification, source grounding, no direct production changes Major Incident Copilot, IaC Copilot, Change Risk Copilot Copilot Designer; Prompt Ladder; Prompt Redraft
L3 — AI Assistant Provide context-aware operational support Infrastructure Health Assistant summarizes service, compute and storage status RBAC, trusted retrieval, masking, audit logs Health Assistant, Compliance Evidence Assistant, SLA Assistant RAG Builder; Match the AI; Guardrail Triage
L4 — Predictive / Decision-Support AI Predict infrastructure risks and evaluate operational options Forecast storage exhaustion or failure risk Model testing, drift monitoring, explainability, decision ownership Failure Predictor, Capacity Predictor, Vulnerability Prioritization AI Risk Radar; Predictive Challenge; AI vs AI
L5 — AI Agents Execute bounded investigation and preparation tasks Agent collects logs, identifies related tickets and drafts escalation Least privilege, tool allowlists, rate limits, execution logs, approval gates CMDB Reconciliation Agent, Drift Investigation Agent, Deployment Verification Agent Agent Task Planner; AI Workflow Builder; Architecture Blocks
L6 — Agentic AI Coordinate complex infrastructure workflows under governance Multiple agents investigate degradation, prepare change options, request approval and verify recovery Segregation of duties, policy enforcement, production authorization, rollback, emergency stop Controlled Infrastructure Operations Orchestrator, Control Tower Agentic Workflow Builder; AI Autonomy Ladder; Risk Radar

For financial services, higher autonomy does not mean unrestricted access. Production changes, privileged actions and recovery operations remain subject to organizational policies and authorized human control.

FOUNDRY 5 / STUDIO 09

AI Solutions Portfolio

This is the master catalogue of candidate solutions, mapped to the five executive groups and AI Journey levels. Page 06 describes business use cases; this page identifies the specific solution components or products that could address them.

35

Candidate solutions

5

Infrastructure groups

L2–L6

Solution levels

A. Infrastructure Strategy, Architecture & Asset Management

# AI Solution AI Type Level Primary Purpose
01 Infrastructure Discovery Assistant AI Assistant L3 Explain discovered assets and relationships
02 CMDB Reconciliation Agent AI Agent L5 Identify and prepare reconciliation of asset mismatches
03 Asset Obsolescence Predictor Predictive AI L4 Forecast asset lifecycle risks
04 Infrastructure Capacity Predictor Predictive AI L4 Forecast resource demand
05 Resilience Architecture Copilot Copilot L2 Evaluate infrastructure resilience options
06 Infrastructure Knowledge Assistant Conversational AI / Assistant L3 Retrieve approved infrastructure knowledge
07 Data Center Digital Twin Copilot Copilot L2 Support simulated infrastructure scenarios

B. Infrastructure Provisioning, Cloud & Platform Engineering

# AI Solution AI Type Level Primary Purpose
08 Infrastructure Request Assistant AI Assistant L3 Structure service requests
09 Cloud Resource Feasibility Copilot Copilot L2 Assess resource feasibility
10 Infrastructure as Code Copilot Copilot L2 Draft and explain IaC templates
11 Configuration Drift Investigation Agent AI Agent L5 Collect and compare configuration evidence
12 Deployment Verification Agent AI Agent L5 Prepare deployment validation packages
13 Cloud Provisioning Agent AI Agent L5 Execute specifically authorized provisioning steps
14 Platform Engineering Knowledge Copilot Copilot L2 Support platform configuration and troubleshooting

C. Infrastructure Monitoring, Reliability & Service Assurance

# AI Solution AI Type Level Primary Purpose
15 Intelligent Event Correlation AI Predictive / Decision-Support AI L4 Reduce alert duplication
16 Major Incident Copilot Copilot L2 Assist incident investigation
17 Service Dependency Impact Assistant AI Assistant L3 Map potentially affected services
18 Infrastructure Failure Predictor Predictive AI L4 Forecast infrastructure failure risks
19 Infrastructure Health Assistant AI Assistant L3 Consolidate operational health
20 Storage Capacity Prediction AI Predictive AI L4 Forecast storage exhaustion
21 Root Cause Investigation Agent AI Agent L5 Gather and organize investigation evidence

D. Cybersecurity, Risk, Compliance & Resilience

# AI Solution AI Type Level Primary Purpose
22 Vulnerability Prioritization AI Decision-Support AI L4 Rank vulnerabilities by operational risk
23 Privileged Access Anomaly Detector Predictive / Anomaly AI L4 Flag unusual privileged activity
24 Change Risk Assessment Copilot Copilot L2 Prepare evidence-based change reviews
25 Compliance Evidence Assistant AI Assistant L3 Assemble and explain approved evidence
26 Disaster Recovery Readiness Copilot Copilot L2 Assess recovery preparation
27 Security Investigation Agent AI Agent L5 Collect bounded security investigation evidence
28 Third-Party Infrastructure Risk Assistant AI Assistant L3 Summarize vendor control evidence

E. Infrastructure Optimization, Service Transformation & Governance

# AI Solution AI Type Level Primary Purpose
29 Cloud FinOps Optimization AI Decision-Support AI L4 Recommend cost-efficiency opportunities
30 SLA Intelligence Assistant AI Assistant L3 Summarize service performance
31 Workflow Transformation Copilot Copilot L2 Design current and future-state workflows
32 Infrastructure Operations Control Tower AI Assistant / Copilot L3 Unify health, cost, risk and service intelligence
33 Controlled Infrastructure Operations Orchestrator Agentic AI L6 Coordinate approved multistep operations
34 Infrastructure Opportunity Prioritization AI Decision-Support AI L4 Rank transformation opportunities
35 Closed-Loop Reliability Assurance AI Agentic AI L6 Coordinate detection, recommendation, approved action and verification

Reusable AI capability architecture

Rather than building 35 completely separate systems, the portfolio can share foundational capabilities:

Reusable Capability Examples of Solutions Using It
Enterprise RAG & Knowledge Retrieval Infrastructure Knowledge Assistant, Major Incident Copilot, Compliance Evidence Assistant
Document & Log Summarization Major Incident Copilot, SLA Intelligence Assistant, Change Risk Copilot
Anomaly Detection Privileged Access Detector, Event Correlation, Infrastructure Health
Time-Series Forecasting Capacity Predictor, Failure Predictor, Storage Prediction
Dependency Graph Analytics Service Impact Assistant, Resilience Architecture Copilot
Optimization & Scoring Cloud FinOps, Vulnerability Prioritization, Opportunity Prioritization
Governed Tool Execution CMDB Agent, Deployment Verification Agent, Security Investigation Agent
Agent Orchestration & Human Approval Infrastructure Operations Orchestrator, Closed-Loop Reliability Assurance
FOUNDRY 5 / STUDIO 10

AI Exercise Games — DTAIG™

The games are customized for infrastructure professionals working in banking and insurance environments. They can support self-learning, instructor-led workshops, team competitions and certification assessments.

# DTAIG™ Game Category Banking & Insurance Infrastructure Exercise Level Participant Output
01 Name That AI Terminology Identify AI concepts in infrastructure scenarios L1 Terminology score
02 AI Detective Terminology Identify AI capabilities from incident descriptions L1 AI classification
03 AI or Automation? Transformation Distinguish scripted monitoring from intelligent analysis L1 Technology decision
04 Match the AI Transformation Match infrastructure problems to solutions L1–L2 Solution mapping
05 Wrong AI Solution Selection Identify unsuitable AI approaches for regulated workloads L1–L3 Risk-aware selection
06 AI Type Lightning Round AI Solution Types Classify Copilot, Assistant, Predictive AI, Agent and Agentic AI L1–L4 Capability recognition
07 AI vs AI Solution Types Compare different AI approaches to the same incident L2–L6 Solution comparison
08 AI Autonomy Ladder AI Journey Choose suitable autonomy for infrastructure operations L1–L6 Autonomy matrix
09 Prompt Ladder Prompt Engineering Improve an incident analysis prompt L2 Structured prompt
10 Prompt Redraft Prompt Engineering Correct a prompt containing unsupported assumptions L2 Verified prompt
11 Copilot Designer AI Design Design a Major Incident Copilot L2 Copilot blueprint
12 RAG Builder Knowledge AI Build a conceptual infrastructure runbook assistant L3 Retrieval design
13 Major Incident Detective Applied Lab Investigate a synthetic banking service outage L2–L4 Evidence analysis
14 Capacity Forecast Challenge Predictive AI Interpret compute and storage capacity forecasts L4 Forecast assessment
15 Failure Prediction Challenge Predictive AI Assess hardware failure-risk scores L4 Prediction interpretation
16 Infrastructure Risk Radar Responsible AI Identify risks involving sensitive systems and data L2–L6 Risk register
17 Build the AI Solution Solution Design Select components for an infrastructure AI use case L2–L5 Solution blueprint
18 Architecture Blocks Architecture Design a secure infrastructure AI integration L3–L6 Architecture diagram
19 AI Workflow Builder Workflow Transformation Redesign incident, provisioning or change workflows L3–L6 Future-state workflow
20 Guardrail Triage Responsible AI Decide which actions require authorization L2–L6 Human-control matrix
21 Agent Task Planner AI Agents Define bounded incident investigation tasks L5 Agent task specification
22 Agentic Workflow Builder Agentic AI Coordinate monitoring, investigation and verification agents L6 Agentic workflow design
23 Infrastructure Control Tower Challenge Decision Intelligence Combine service, security, reliability and cost KPIs L3–L6 Dashboard concept
24 Case Study Match Case Studies Match cross-industry scenarios to infrastructure use cases L1–L6 Transferability assessment
25 Pitch the AI Workflow Applied Assessment Present an AI-enabled infrastructure transformation proposal L3–L6 Final presentation

Suggested interactive game experience

Sample DTAIG™ Challenge — AI Autonomy Ladder

A critical banking service is experiencing intermittent failures. AI has correlated alerts and suggested a production configuration change. What should happen next?

Allow the AI agent to apply the configuration change immediately.

Prepare the evidence and proposed change for authorized human review.

Ignore the recommendation because AI cannot be used in infrastructure operations.

FOUNDRY 5 / STUDIO 11

Certifications & Achievement Badges — EAIIT™

Industry & vertical credential naming framework

For this edition, the proposed specialization code is ISBI, representing Infrastructure Services — Banking & Insurance.

CREDENTIAL CODE STRUCTURE

ISBI

Industry / Vertical

CAIP

Core credential

ISBI-CAIP

Specialized credential

Example: Certified Banking & Insurance Infrastructure AI Practitioner

A. Proposed certifications

# Core Code Specialized Code Certification Name Suggested Level
1 CAIF ISBI-CAIF Certified Banking & Insurance Infrastructure AI Foundation Specialist L1
2 CAIL ISBI-CAIL Certified Banking & Insurance Infrastructure AI Literate Professional L1
3 CAIU ISBI-CAIU Certified Banking & Insurance Infrastructure AI User L1–L2
4 CAIPT ISBI-CAIPT Certified Banking & Insurance Infrastructure AI Prompt Technician L2
5 CAIPD ISBI-CAIPD Certified Banking & Insurance Infrastructure AI Prompt Designer L2
6 CAIP ISBI-CAIP Certified Banking & Insurance Infrastructure AI Practitioner L2–L3
7 CAIBA ISBI-CAIBA Certified Banking & Insurance Infrastructure AI Business Analyst L3–L4
8 CAIOD ISBI-CAIOD Certified Banking & Insurance Infrastructure AI Opportunity Designer L3–L4
9 CAIST ISBI-CAIST Certified Banking & Insurance Infrastructure AI Solution Types Specialist L3–L4
10 CAIUC ISBI-CAIUC Certified Banking & Insurance Infrastructure AI Use Case Specialist L3–L4
11 CAIAA ISBI-CAIAA Certified Banking & Insurance Infrastructure AI Agent Architect L5
12 CAIAP ISBI-CAIAP Certified Banking & Insurance Infrastructure AI Agent Practitioner L5
13 CAIRA ISBI-CAIRA Certified Banking & Insurance Infrastructure AI RAG Architect L3–L5
14 CAIVA ISBI-CAIVA Certified Banking & Insurance Infrastructure AI Verification Analyst L2–L5
15 CAIA ISBI-CAIA Certified Banking & Insurance Infrastructure AI Architect L4–L6
16 CAITA ISBI-CAITA Certified Banking & Insurance Infrastructure AI Transformation Architect L4–L6
17 CAITS ISBI-CAITS Certified Banking & Insurance Infrastructure AI Transformation Specialist L3–L6
18 CAITM ISBI-CAITM Certified Banking & Insurance Infrastructure AI Transformation Manager L5–L6
19 CAITL ISBI-CAITL Certified Banking & Insurance Infrastructure AI Transformation Leader L5–L6
20 CAIGP ISBI-CAIGP Certified Banking & Insurance Infrastructure AI Governance Professional L3–L6
21 CAIRP ISBI-CAIRP Certified Banking & Insurance Infrastructure AI Responsible Practice Professional L2–L6
22 CAIRL ISBI-CAIRL Certified Banking & Insurance Infrastructure AI Responsible Leader L5–L6

These are proposed specialized credential names using the established EAIIT core codes. Final issuance should follow the approved DTskill credential register and assessment requirements.

B. Achievement badges

Infrastructure AI Explorer

L1

AI Terminology Champion

L1

Infrastructure Prompt Builder

L2

Incident Copilot Designer

L2

Infrastructure Knowledge Builder

L3

Infrastructure Health Analyst

L3

Predictive Reliability Analyst

L4

Infrastructure Risk Guardian

L4

Infrastructure AI Agent Builder

L5

Workflow Transformer

L5

Agentic Infrastructure Architect

L6

Infrastructure AI Transformation Leader

L6

C. Badge assessment criteria

Badge Related Game / Activity Required Evidence
Infrastructure AI Explorer Name That AI, AI Detective Foundation assessment
AI Terminology Champion Terminology Match, AI Type Lightning Round Terminology proficiency
Infrastructure Prompt Builder Prompt Ladder, Prompt Redraft Verified infrastructure prompt
Incident Copilot Designer Copilot Designer Incident Copilot design
Infrastructure Knowledge Builder RAG Builder Knowledge retrieval and citation exercise
Infrastructure Health Analyst Major Incident Detective Incident analysis and verification
Predictive Reliability Analyst Failure Prediction Challenge Model interpretation and limitations
Infrastructure Risk Guardian Risk Radar, Guardrail Triage Risk and control checklist
Infrastructure AI Agent Builder Agent Task Planner Bounded agent specification
Workflow Transformer AI Workflow Builder Current-state and future-state workflow
Agentic Infrastructure Architect Agentic Workflow Builder Governed agentic architecture
Infrastructure AI Transformation Leader Pitch the AI Workflow Assessed transformation proposal

D. Suggested assessment model

Assessment Component Weight
AI terminology and solution-type knowledge 15%
DTAIG™ games and challenges 15%
Applied exercises and prompt quality 20%
Verification, security and responsible AI 15%
Workflow transformation and solution design 25%
Final presentation 10%
Total 100%

A proposed passing threshold is 70% overall, subject to successful completion of mandatory security and human-review requirements.

Day 3 / interactive applied exercise

Applied Transformer Lab

Design a governed AI-assisted workflow for a banking or insurance infrastructure operations scenario. This builder runs entirely in your browser and does not connect to production systems.

Scenario: INF-INC-1042

Payment-processing latency rises from 180 ms to 760 ms after a scheduled infrastructure change. Storage I/O warnings and a concurrent application deployment are observed. Causality is not established.

Degradation detectedCollect evidenceReview competing hypothesesAssess impactHuman approvalVerify recovery

Current-state workflow

Future-state AI-assisted workflow

Workshop exercise only. Avoid entering real customer data or credentials.

Day 3 / evidence & achievement

Assessment & Outputs

A proposed 100-point assessment model, aligned to the source. Record scores and export a learner summary; certification issuance requires separate authorization.

Assessment scorecard

Overall score: 0%

Enter scores to review proposed eligibility.

Foundation evidence

Readiness baseline, terminology map, AI classification and responsible-use checklist.

Practitioner evidence

Prompt library, incident evidence analysis, verification record and solution shortlist.

Transformation evidence

Current/future-state workflow, human-review matrix, risk register and final presentation.

A score of 70% is a proposed threshold, not an automatic award. Mandatory security requirements and DTskill approval still apply.