Platform Standup
From an empty tenant to a governed platform with a working release pipeline and a first production domain.
Enterprise Microsoft Fabric architecture and delivery
A leading Microsoft Fabric enterprise architecture consultancy.
Platforms built to survive production — specified before they're built, defined in a repository, promoted by pipeline, and documented well enough to hand over.
Two organising principles decide whether a platform holds up.
01
Processing and reporting live in separate workspaces.
A runaway transformation job should never be able to take business reporting offline. Separating the workloads means capacity pressure, deployment and failure are contained on one side of the boundary and invisible on the other.
02
Development is authored in Dev and committed out of it. UAT and Production are only ever written into.
Every environment is defined by exactly one branch, and the release pipeline is the only writer downstream. Nothing reaches Production that did not first exist as a reviewed commit, so the repository is always an accurate description of what is running.
Six ways to engage
All servicesPlatform Assessment
A structured read of an existing estate against a written architecture standard, with a prioritised remediation plan.
Migration & Modernization
Existing analytics workloads sequenced onto Fabric, verified in parallel run, cut over without stalling the business.
Enablement & Handover
Runbooks in the repository, paired release runs and named ownership, until the platform runs without us.
AI & Data Agents
A natural-language data agent grounded on a governed semantic model, surfaced where people already work.
Read moreFabric Apps & Rayfin SDK
A custom application running inside Fabric, alongside the data, reading from the governed semantic model.
Read moreAI & Data Agents
An agent is only as trustworthy as the model it is grounded in.
An agent pointed at ungoverned tables will answer confidently and wrongly. Conformed dimensions, documented measures, enforced row-level security and a verified Gold layer are what make an agent safe to put in front of an executive — so the architecture work is the prerequisite for the AI layer, not a separate track.
How we approach data agents01
Govern the model first
Conformed dimensions, documented measures and security enforced at the model.
02
Then ground the agent on it
The agent answers from the governed semantic model, inheriting its definitions and access rules.
03
Then surface it where people already work
Inside the reporting experience people already open, not as a separate chat tool.
Delivery
Spec-driven delivery
The difference between a platform and an accumulation of artefacts is whether someone wrote down what was supposed to happen first.
Read the standard01
Work begins as a written spec
Not as an item created in a workspace. The spec states the outcome, the interfaces and the acceptance checks before anything is built.
02
Every environment is defined by its branch
Environment configuration is code. What differs between Dev, UAT and Production is a parameter file, not a memory.
03
Nothing ships unverified
Each change carries the checks that prove it. If the verification cannot be written down, the change is not ready to promote.
Case study
Standing up a governed Fabric platform, project code PROJ
An anonymised account of the starting position, the constraints, the architecture we set and what the internal team owned at the end.
Read the case studyStart with an architecture review
A structured read of the estate you have, a plain verdict on the architecture, and a sequenced list of what to change first.
Book an architecture review