Business Intelligence & AI

Modern BI, powered by AI — anchored in your finance outcomes.

We build BI that leaders actually use — governed metrics, AI-powered dashboards, predictive analytics, and conversational interfaces that let you ask your data questions in plain English. Faster decisions, consistent KPIs, and AI doing the heavy lifting that used to take weeks of analyst time.

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Service lines

Three connected BI capabilities — each augmented by AI

Most engagements span all three. AI runs through every one — accelerating delivery, surfacing insights faster, and reducing the manual analyst effort traditional BI used to require.

Full BI Suite Development

End-to-end BI platform delivery — from priorities and stakeholder alignment through to AI-powered dashboards your teams adopt from day one.

  • Requirements & BI product design
  • AI-assisted data modelling & semantic layer
  • Dashboards & reporting suites with conversational AI
  • Governance: definitions, naming, refresh cycles, access
  • Generative AI commentary embedded in reports
  • Rollout, training & adoption planning

Analytical & AI Development

Turning “what happened” into “what to do next” — KPI frameworks, predictive analytics, and AI-driven anomaly detection that catches what humans miss.

  • KPI frameworks & performance drivers
  • AI forecasting & scenario modelling
  • Anomaly detection & outlier explanation
  • Customer segmentation & cohort analysis
  • Predictive models for churn, demand & cash flow

Data Asset Development

Reusable, governed assets — the foundation AI and BI both stand on. Without a clean semantic layer, AI hallucinates. We build the bedrock first.

  • Data models, marts & curated datasets
  • Metrics layer / semantic models (AI-ready)
  • Data quality rules & validation
  • Documentation & lineage-friendly structure
  • Access control & governance standards
AI capabilities

What AI actually does in your BI

Cutting-edge AI is no longer a separate product — it's woven into every dashboard, every forecast, and every analysis we deliver. Here's where it shows up day-to-day.

Conversational analyticsAsk your dashboard a question in plain English — get the answer, charted, with the source data. No more waiting on analysts.
Predictive forecastingAI-driven forecasts for revenue, cash, demand and churn — continuously retrained on your own data.
Anomaly detectionOutliers in sales, costs, or operational metrics surfaced automatically — before they become next quarter's surprise.
Generative commentaryAI drafts the “what changed and why” narrative on every report — refined by a human, delivered in minutes.
Auto-segmentationAI clusters customers, products, or transactions to surface patterns you'd never find by manual slicing.
AI-assisted modellingSemantic models, transformations and KPI logic accelerated by AI — what took weeks of dev now takes days.
Finance-first BI

BI priorities shaped by finance — accelerated by AI.

Finance defines the questions that matter most: performance, risk, cash, margin, allocation. When those questions shape the BI roadmap — and AI does the work of producing the answers — dashboards stop being a side-project and start running the leadership cadence.

That's the lens we bring: finance-grade rigour applied to the data, AI applied to the analysis, and one source of governed truth that everyone can trust.

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Definitions before dashboards.A KPI catalogue and metric layer come before charts — and before AI, so it can't hallucinate.
Reconciliation by design.Finance, sales, and operational views agree because they share the same governed metrics — and the same AI uses them.
Decision-ready, not data-rich.Each dashboard answers a real leadership question — and answers follow-up questions through conversational AI.
Example deliverables

What you walk away with

Tangible artefacts you can run, govern, and extend long after the engagement ends.

Executive dashboards

Concise, governed dashboards with embedded AI commentary and a “ask a question” box on every page.

KPI catalogue

Documented metric definitions, owners, calculations, and reporting locations — the source of truth AI references.

Semantic model

A reusable, AI-ready metric layer that protects definitions across tools — so dashboards, exports, and AI agree.

Predictive analytics

Forecasting, anomaly detection, and segmentation models — productionised against your governed data.

Reporting automation

Manual packs replaced by scheduled, AI-narrated reporting. Less time stitching, more time deciding.

Adoption plan

Stakeholder map, training, and value-realisation tracker — so BI and AI become how the business runs.

Build BI your leaders actually use — with AI doing the heavy lifting.

From first KPI to a fully governed, AI-powered BI suite — let's talk through where you are and what to tackle first.

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