We build the AI-ready data foundation on Microsoft Fabric: one governed model of your business across every ERP, system and document, then deploy Claude on top of it. Your organisation stops reporting what happened and starts deciding what to do next.
Every failed analytics or AI initiative we are called into shares the same root causes.
Multiple ERPs, disconnected subsidiaries and manual consolidation mean no one can agree on a single number.
Month-end packs describe a period you can no longer influence. Decisions are made on instinct in between.
Budgets and forecasts sit outside the data platform, disconnected from actuals and impossible to re-run at speed.
Contracts, board minutes, analyst reports, market data and prior commentary never reach the analytics layer.
You see the variance. You do not get the root cause, the forecast or the recommended action.
The judgement that explains the numbers is never captured, and it leaves the business when they do.
Sources land once in OneLake. Meaning is defined once in the semantic model and ontology. People, dashboards and agents all reason from that single definition, so the answer is the same wherever it is asked.
A valuation, a covenant test or a capital allocation call is never answered by financial data alone. Internal and external sources land in the same governed model.
Every entity, KPI and business rule defined once (revenue, margin, customer, SKU, entity) and reused everywhere. The universal semantic layer.
Claude and Fabric data agents reason over the governed model: diagnose variance, forecast, run scenarios and recommend the next action.
Budgets, forecasts and scenarios created in the same platform as the actuals, with write-back to Fabric SQL.
Financial, operational, commercial, supply chain, HR, external market and economic data.
Structured tables, semi-structured feeds and APIs, unstructured PDFs, decks, minutes and email.
We build the foundation first. Agents come second, because agents deployed on ungoverned data produce confident, wrong answers.
End-to-end delivery of Fabric as your data management and analytics platform, from source connection to certified reporting.
Frontier LLM agents grounded on the governed semantic layer, so answers are explainable, traceable and consistent with your reporting.
Most platforms stop at the first step. We deliver all four on the same governed foundation.
Certified, consolidated reporting across every entity and system, available on demand.
Agents trace variance to root cause across financial, operational and external drivers.
Driver-based forecasting and scenario modelling using history, pipeline and market signals.
Ranked, quantified recommendations with financial impact, and the decision stays yours.
We implement the current generation of the platform, not last year’s architecture.
The semantic intelligence workload: ontology, graph, data agents and operations agents working from one shared business model.
Business entities, relationships, rules and permitted actions defined once, generated from or aligned to your Power BI semantic model.
EPM and CPM inside Fabric: budgets, forecasts, scenarios and plan-versus-actual, with write-back, in the same governed platform as your data.
Data-grounded conversational agents that answer business questions using governed enterprise data and consistent definitions.
Continuous monitoring of live data, anomaly detection and governed action driven by rules held in the ontology.
Governed, no-code data entry and reference data for planning, plus target-based and multi-variable optimisation.
Zero-copy access to ADLS, S3, GCS and operational databases: analyse across clouds without moving or duplicating data.
Streaming ingestion, event-driven activation and live operational monitoring alongside your analytical estate.
Ontology exposed to the wider agent ecosystem through Model Context Protocol, plus native Copilot across Fabric and Microsoft 365.
Each is delivered on the same foundation, so capabilities compound rather than fragment.
Automated consolidation across subsidiaries on different ERPs: eliminations, currency, group mapping and IFRS reporting with dashboards on a single certified model.
A single analytics and reporting layer for the group and its portfolio: executive views, portfolio performance, drill-through and agent-generated commentary.
Driver-based budgeting, rolling forecasts, scenario overlays and corporate planning, connected to actuals, replacing standalone EPM tools and spreadsheets.
Supply chain, sales, trade spend, operations and finance in one live decision layer: out-of-stocks, trade ROI and inventory managed continuously, not at month-end.
Demand, production, operational, supply chain and financial planning reconciled in one model, so a volume change flows straight to margin and cash.
Any domain, any function. If the data exists in a system, a spreadsheet, a document or someone’s head, we can model it and put agents on it.
Data readiness, source landscape, reporting pain points and the use cases worth building first.
Target Fabric architecture, semantic model and ontology design, governance and security model.
Pipelines, transformation, certified model and Power BI, delivered in sprints against a live use case.
Claude agents deployed on the governed layer, with guardrails, adoption support and measured business value.
A short diagnostic across your source systems, reporting and data quality, with a costed roadmap to a governed foundation and your first agentic use case.