Products · 2. Productised Architecture Engagements
Four fixed-scope
assessments.
Value priced.
Each engagement answers one specific question about your Azure AI estate — oversharing risk, landing zone readiness, cost control, or business readiness — and comes back with a scored, evidence-backed answer. Fixed scope, fixed timeline, no hourly billing.
Risk & Compliance
The AI Security & Oversharing Assessment
- Microsoft Purview used to find where sensitive data — PII, financial records — is over-permissioned in SharePoint and Teams, and could be surfaced by an internal AI agent.
- Zero Trust review for AI: auditing Entra ID configuration so agents only ever operate with least-privilege managed identities.
Infrastructure
The AI Landing Zone & Platform Healthcheck
- CAF/WAF alignment: evaluating your existing cloud environment against Microsoft's Cloud Adoption Framework for AI and the AI Well-Architected Framework.
- Landing zone review: assessing network topology, VNets and Private Endpoints, to confirm the current setup can carry an AI hub-and-spoke model without public internet exposure.
Cost Control
The AI FinOps & Token Audit
- Token and cost leakage audit: finding rogue API calls, unoptimised prompt sizes, and developers bypassing the central gateway.
- Cost optimisation: analysing whether workloads belong on Provisioned Throughput Units or Pay-As-You-Go, based on real traffic patterns.
Business Value
The AI Use-Case & Data Readiness Discovery
- Ideation workshops that map business problems to AI solutions — for example, a Copilot Studio workflow versus a custom Foundry agent.
- A high-level evaluation of data silos across CRM, ERP and unstructured documents, to establish whether the data is clean enough to ground an agent.