Infrastructure Rollout · One-Time Foundation

Infra Setup Timeline

A structured, time-boxed 4–6 week foundation that stands up the AI platform, security, and integrations Rogers will run every future use case on. Runs once, ends with a hard go/no-go gate before any use case begins. Use-case-specific rollout timelines live with each individual use case on the home page.

4–6 weeks · total duration 1 time · runs once for the enterprise 4 phases · each time-boxed, each gated Cloud / On-Prem / Hybrid · deployment-agnostic
Infra Setup · 4–6 Weeks
Week 1–2 Assess & Design
Environment, Architecture & Integration Discovery

Lay the foundation: review the current AI architecture, map the target environment (cloud, on-prem, or hybrid), inventory upstream and downstream integrations, and finalize the reference architecture Rogers will build on. Identify high-risk dependencies and plan for mitigations early.

Deliverables
Environment Assessment Reference Architecture (Signed Off) Integration Inventory Risk & Dependency Log
Resources
  • AI Architect (PwC)
  • AI Developers (PwC)
  • Enterprise Architect (Rogers)
  • IT Stakeholders (Rogers)
  • Security Architect (Rogers)
Meetings
  • Daily Standup
  • Architecture Workshops
  • Integration Inventory Review
Week 2–3 Provision & Access
Stand Up AI Platform & Identity

Provision the core AI platform: Azure OpenAI, AI Foundry, AI Search, and supporting compute. Establish identity (Entra ID), secrets management (Key Vault), private networking, and API management. Environments are created for dev, test, and production with promotion rules defined.

Deliverables
Provisioned AI Platform Identity & Access Policies Network & Secrets Environment Promotion Plan
Resources
  • AI Architect (PwC)
  • AI Developers (PwC)
  • Platform Owner (Rogers)
  • Cloud Engineer (Rogers)
  • Identity / IAM (Rogers)
Meetings
  • Daily Standup
  • Platform Provisioning Review
  • Identity & Access Review
Week 3–5 Integrate & Secure
Connect Data, Harden Security & Governance

Wire the AI platform into Rogers' data and systems of record. Stand up the API gateway, ingestion pipelines, and vector/RAG stores. Enable AI Content Safety, audit logging, and model governance so every future use case inherits the same security and compliance posture.

Deliverables
Data Source Connectors API Gateway & Policies Content Safety & Guardrails Audit & Governance Controls
Resources
  • AI Architect (PwC)
  • AI Developers (PwC)
  • Data Engineer (Rogers)
  • Security Architect (Rogers)
  • Governance / Risk Lead (Rogers)
Meetings
  • Daily Standup
  • Integration Build Sessions
  • Security & Governance Review
Week 5–6 Validate & Gate
End-to-End Readiness & Go / No-Go

Run end-to-end smoke tests across identity, networking, data, and model serving. Confirm operational runbooks, monitoring, and escalation paths are in place. A formal readiness review holds the hard go/no-go gate before any use case is allowed to start.

Deliverables
End-to-End Smoke Tests Runbooks & Monitoring Readiness Review Pack Production Sign-Off
Resources
  • AI Architect (PwC)
  • AI Developers (PwC)
  • Platform Owner (Rogers)
  • Operations Lead (Rogers)
  • Governance / Risk Lead (Rogers)
Meetings
  • Daily Standup
  • End-to-End Test Review
  • Go / No-Go Readiness Review
Go / No-Go Gate

What This Foundation Buys

When infra setup is done, every future use case inherits the same platform, security, and governance — so time-to-value shifts from months to weeks per use case.

4–6 wks
Per use case after setup

Each AI use case is time-boxed to 4–6 weeks once the foundation is in place.

One
Shared AI platform

A single Azure-based AI platform every future agent, model, and workflow runs on.

Inherit
Security & governance

Entra ID, Key Vault, AI Content Safety, and audit trails apply to every use case by default.

Go / No-Go
Decision discipline

Every phase ends in an explicit decision so risk is retired before work compounds.

What the Go / No-Go Gate Checks

Infra setup exits only when every item below is green. If any are red, the gate holds and the first use case does not start.

Platform & Identity
  • AI platform provisioned in dev, test, production
  • Entra ID, Key Vault, and Private Link in place
  • Role / access model signed off
Data & Integration
  • Connectors live to required source systems
  • API gateway, rate limits, and routing configured
  • Vector / RAG store operational
Safety & Governance
  • AI content safety and prompt shields enabled
  • Audit trails and model cards in place
  • Responsible AI dashboard live
Operations & Readiness
  • End-to-end smoke tests passing
  • Monitoring, alerts, and runbooks ready
  • Platform owner and ops lead signed off

Use-case-specific rollout timelines live with each use case on the home page.