AI Delivery Playbook

A concise enterprise playbook for delivering Generative AI in regulated banking — aligned to CBUAE and UAE PDPL requirements. Centralizes governance, architecture, delivery, and operational readiness documentation.

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Documents

Week Delivery

Month Roadmap

Compliance Frameworks

Document Index

Delivery Decision Framework

Approve and gate new AI use cases

Risk posture, compliance, explainability, readiness

Production Readiness Checklist

Validate production readiness

Operations, AI reliability, security, SLAs

Technology Choice Matrix

Select Azure services and architecture patterns

Identity, AI, data, security, FinOps

Delivery Timeline Plan

Execute the 12-week delivery plan

Milestones, owners, dependencies, status

AI Platform Roadmap

Align the 12-month AI program

Foundation, platform build, use-case delivery, scale

RM Assistant Project

Reference flagship use case architecture

RM assistant, RAG, CRM, banking advisory

GPT Rollout Plan

Plan safe model upgrades

GPT migration, shadow testing, guardrails

Platform KPI Targets

Track platform KPIs and value metrics

Infrastructure, application, AI, business outcomes

Enterprise Layered Design

Define layered platform architecture

API, orchestration, knowledge, model, security, observability

Comprehensive AI Delivery Framework

Master program framework

Initiatives, budget, governance, RAID, backlog

Recommended Entry Points

Role	Start Here	Then Read
AI Delivery Lead	10 → 05	01, 04, 08, 09
Platform Engineer	09 → 03	02, 04, 05
Solution Architect	06 → 09	01, 03, 07
Compliance / Risk	01 → 10	02, 07, 09
Engineering Manager	04 → 05	02, 08, 10
Executive Sponsor	10 → 05	01, 08

Compliance Baseline

CBUAE alignment for model risk and data residency

UAE PDPL compliance for personal data protection

Azure Landing Zone best practices for scale and governance

Zero-trust architecture patterns with private connectivity

Audit retention via immutable, centralized logging

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