Architecture, Governance, and AI Readiness Services
I work with enterprise organisations at two connected levels. The first is making a data environment ready to support reliable AI, at the architecture and governance layer where that readiness is decided. The second is the Microsoft Fabric architecture and governance work that gives that readiness its depth. Every engagement produces a specific deliverable your organisation can act on, with the scope defined before we start.
Is Your Data Ready for AI?
Before an organisation enables AI tools on its data, one question decides the outcome: is the underlying environment ready for them. AI does not fail because the tool is weak. It fails because the data beneath it carries inconsistent meaning, undocumented context, or access that was never scoped for an agent to inherit. The AI Readiness Assessment evaluates that environment and tells you what stands between it and reliable AI.
This assessment applies to any enterprise data environment. The principles transfer regardless of the platform underneath, and my Microsoft Fabric specialism gives the assessment its depth.
AI Readiness Assessment
A structured evaluation of how well your data environment can support reliable AI workloads. I assess the four areas that determine how reliably AI produces trustworthy results, identify the gaps blocking reliable use, and give you a prioritised view of what to address before you enable AI tools across the organisation.
What the Assessment Evaluates
Semantic and Definitional Consistency
AI tools are only as reliable as the business logic they read. I assess how your analytical models are structured, so AI uses your defined measures and definitions instead of generating its own, and confirm that the same business term carries the same meaning across the environment. In testing, AI assistants frequently bypass defined logic and write their own calculations when model structure does not guide them, which produces answers that look authoritative and are quietly wrong.
Documentation and Business Context
AI cannot interpret what has not been described. I assess the documentation across your data assets, checking that each carries enough meaning, purpose, definitions, and calculation logic for an AI tool to interpret them correctly instead of guessing.
Access and Data Boundaries for AI
AI agents inherit permissions, and they move data across boundaries. I assess that agents operate with access scoped to what they need instead of broader reach, and confirm that you have visibility into where each AI tool processes your data once it leaves your environment.
Operational Maintenance of Readiness
Readiness is a state that decays. I assess that the conditions that make AI outputs reliable are maintained over time as models change and data refreshes, instead of degrading after an initial setup.
Fabric Architecture and Governance Services
The AI Readiness Assessment shows you what to address. The work of addressing it happens at the Microsoft Fabric architecture and governance level. Most clients enter this work through a Governance Health Check, which gives a structured picture of where governance gaps exist and what to prioritise. From there, deeper engagements follow based on what the assessment reveals.
Fabric Governance Health Check
A structured governance audit of your Fabric tenant using GovernView, a scanning tool I built specifically for this purpose. The scan covers workspace inventory, role assignments, naming consistency, ownership gaps, and staging artifact detection.
Delivered in 3-5 working days.
Fabric Adoption Architecture Review
A focused assessment of your planned or current Fabric architecture. Covers workspace structure, domain design, medallion architecture approach, security model, and naming standards.
Delivered in 2-3 weeks.
Fabric Governance Framework Setup
Implementation of a governance framework tailored to your organisation. Includes domain structure configuration, workspace standards, role assignment policy, endorsement process, and a governance operating model.
Delivered in 4-6 weeks.
Fabric Architecture Workshop
A tailored one-day or two-day workshop for data platform teams. Covers Fabric fundamentals, governance principles, workspace design, and hands-on exercises adapted to your industry and data maturity level.
Delivered virtually or on-site.
Powered by GovernView
The Governance Health Check is delivered using GovernView, a tool I built to scan Microsoft Fabric environments and produce structured governance audit reports. GovernView connects via a read-only service principal configured by your team. It reads metadata only. No data content is accessed, stored, or transmitted.
The scan covers workspace inventory, role assignments, naming conventions, ownership gaps, lakehouse health, staging artifact detection, and duplicate semantic model identification. A full scan runs in under 10 minutes per workspace.
A Natural Progression
Most organisations start with the Health Check because it provides an immediate, evidence-based picture of governance posture. If structural issues surface, the Architecture Review diagnoses root causes and recommends changes. If implementation support is needed, the Framework Setup applies those changes and documents the standards. At any point, a Workshop helps the broader team understand and follow the governance framework.
Each engagement is standalone. You can stop at any level and act on what you have. There is no obligation to continue to the next.
All services are delivered remotely. On-site delivery is available in Switzerland, DACH, and Scandinavia with travel expenses billed separately.
If your Fabric environment is growing and governance has not kept pace, a Health Check is the fastest way to get a clear picture of where you stand.
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