10decodersBefore a single agent goes live, we fix the ground it stands on.
“My data isn't ready” is the most honest thing a CTO can say — and it's exactly where every serious AI programme begins. Nobody's data is ready. We clean, structure, connect and govern your data estate first, so what comes next actually holds.
An agent is only as good as the estate it reads from.
Most AI pilots don't fail on the model. They fail underneath it — on data that's scattered, unlabelled, ungoverned or impossible to retrieve cleanly. Here's what that looks like in practice, and what it costs when you skip it.
Silos and mismatched formats
Disconnected systems and inconsistent formats stop information from being combined or trusted end to end.
Left unfixed → agents retrieve partial context and answer confidently from the wrong slice of the truth.
You can't see where data came from
Without a catalog, lineage and sensitivity labels, nobody can prove what a model was allowed to see — or why it said what it said.
Left unfixed → the output can't be trusted for a regulated decision, so it never leaves the pilot.
Knowledge is trapped in documents
Contracts, reports and records hold the real intelligence, but as raw files they're invisible to retrieval and search.
Left unfixed → the model hallucinates around gaps instead of grounding on what you actually know.
Nothing for AI to ground on
There's no vector index, no semantic layer, no clean path from a question to the right source passage.
Left unfixed → every use case is rebuilt from scratch, and none of them scale past the demo.
Six layers, in order. Each one earns the next.
This is the same six-layer blueprint we run on every engagement — a deliberate sequence, not a checklist. You don't model data you haven't cleaned, and you don't hand agents an estate you can't govern.
Assess & connect
Map the real data estate — where it lives, who owns it, how good it is — and connect the sources that matter.
- Scored data-readiness assessment
- Source inventory & ownership map
Ingest & land
Move data reliably into a single landing zone with repeatable pipelines, not one-off exports.
- Governed landing zone
- Scheduled, monitored pipelines
Clean & structure
De-duplicate, standardise and label. Turn raw documents into structured, queryable content.
- Cleaned, de-duplicated datasets
- Extracted & labelled document content
Unify & model
Bring it together into one modelled platform with a shared semantic layer everyone reads from.
- Unified data platform
- Shared semantic / business model
Govern & secure
Catalog, lineage, sensitivity labels and zero-trust access — so every answer is traceable and safe.
- Data catalog & end-to-end lineage
- Zero-trust access & sensitivity labels
Make AI-ready
Stand up the retrieval and grounding layer — vector search and a knowledge base agents can safely read.
- Vector index & retrieval layer
- Grounded knowledge base for RAG
From beginning the data journey to scaling with AI.
Foundation isn't the destination — it's the rung that makes the next two possible. Most mid-market teams start at the left. The blueprint moves you rightward, deliberately.
Begin the data journey
AI AwarenessConnect sources, clean the estate, stand up the platform. This is Foundation — Level 01, where the six-layer blueprint runs.
Derive intelligence
AI OperationalWith a unified, governed platform in place, RAG, copilots and analytics start producing trustworthy answers.
Scale with AI
AI AspirationalAgentic workflows and digital workers operate across the estate — because the ground beneath them was built to carry them.
The same blueprint, built on the stack you already own.
If your organisation runs on Microsoft 365 and Azure, the foundation doesn't need new islands of tooling. We map every layer onto the Microsoft data and AI platform — so it sits inside your existing estate, identity and governance boundary.
The stack is architected to run inside your own Microsoft tenant — your data, your Entra identity, your Purview governance. The goal is that your data estate never has to leave the boundary you already control.
Discover the estate
Land it once
Shape & label
One platform
Trace & protect
Ground the agents
Not on Microsoft? The same six-layer blueprint maps cleanly to AWS and open-source stacks — the sequence is the product, the tooling follows your estate.
Hands-on across the Microsoft data engineering stack.
The middle of the blueprint — ingest, transform, unify — is built and run by engineers who work in these platforms every day, on both the current estate and the move to Fabric.
Ingest & orchestrate
Pipelines · ADF
- Metadata-driven pipelines with parameterised, reusable patterns
- Hybrid ingestion via self-hosted integration runtime for on-prem sources
- Mapping data flows for low-code transformation at scale
- Git-based CI/CD with incremental and change-data loads
Warehouse & compute
Synapse Analytics
- Dedicated & serverless SQL pools for warehousing and ad-hoc query
- Apache Spark for large-scale cleaning and transformation
- Synapse Pipelines for in-platform orchestration (ADF-native)
- Migration from legacy warehouses to a modern lakehouse model
Unify on OneLake
Fabric
- OneLake lakehouse with Data Factory (Dataflows Gen2) ingestion
- Warehouse, semantic models and Direct Lake for Power BI
- Real-Time Intelligence for streaming and event data
- Copilot-ready grounding so the estate feeds AI directly
Running ADF and Synapse today, planning Fabric tomorrow? We build in both — and migrate between them without a rip-and-replace.
A blended pod that builds the foundation with your team, not around it.
Managed pod, not headcount
A blended US + India pod runs the foundation while your team stays on the roadmap. It scales with the work, not your org chart.
Certified delivery
ISO 27001 and ISO 9001 practices, with zero-trust security built into the foundation from layer five, not bolted on later.
Modernise by addition
We build around your legacy — no rip-and-replace, no betting the quarter on a migration. Every engagement ships a measurable result.
Start with a Clarity Sprint
A short, fixed-scope assessment that scores your estate and hands you the sequenced plan — before you commit to a build.
& 9001
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