Flagship offering · AI Transformation
Dashboards report the past. Your data should guide what's next.
An Intelligent Data Platform, purpose-built for your business.
We design and deliver a cloud AI platform that brings your ERP, CRM, and operational data into one governed foundation — then puts a working AI layer on top: plain-language answers, automated follow-ups, and engagement intelligence for your team. This is not a generic implementation; every platform is purpose-built for your systems, your market, and how you operate.
Working product in sixty days.
Azure-native components, reusable integration templates, and upfront discovery rigour — decisions other firms take weeks to reach, we resolve in days. You see a live platform inside the first two months, not a slide deck.
The platform
Three layers. Each one compounds the last.
We build in a deliberate order: a trustworthy foundation first, context second, intelligence last — so the AI layer answers from data you can actually trust.
Data Foundation
01One source of truth.
A centralised cloud data lake that ingests and normalises data from the systems you already run — ERP and financials, CRM, project management, operations databases — with near-real-time refresh.
- NetSuite, Pronto, Business Central and beyond
- CRM, project, and operational systems connected
- Governed, near-real-time, one version of the truth
Data Enrichment
02Context your systems don't have.
Pipelines that augment your internal data with third-party market data, firmographic enrichment, and derived KPIs your ERP will never calculate on its own.
- Market and firmographic enrichment
- Behavioural scoring on customers and accounts
- Derived KPIs — lifetime value, project profitability, stock velocity
AI Intelligence
03Answers, actions, and next steps.
The layer your team actually touches: ask questions of your business data in plain language, automate the follow-ups nobody gets to, and put next-best-action guidance in front of your sales team.
- Natural-language querying of business data
- Automated quote follow-ups, reorder recommendations, alerts
- Auto-generated account briefings and engagement prompts
Delivery
Six months to a full platform. Sixty days to something real.
Governance milestones are embedded in every phase — training and handover included.
Phase 1 · Months 1–3
Foundation
Environment stood up, core systems connected, ingestion live — with a working product in your hands within the first sixty days.
Phase 2 · Months 3–5
Enrichment
Market and firmographic enrichment pipelines, behavioural scoring, and the derived KPIs your reporting has been missing.
Phase 3 · Months 5–6
AI & Activation
The AI interface and automations go live — with training, documentation, and handover so your team runs with it.
Outcomes we plan around
- 3–5% sales conversion lift from AI engagement prompts
- 10–15 hours per week of manual reporting reclaimed
- 1–2% churn reduction through early-warning signals
- Cross-sell and upsell opportunities surfaced automatically
- Working product in your hands within the first sixty days
Conservative, benchmarked figures for mid-market businesses — we scope the business case for your numbers before we build.
Commercial models
Own it, or subscribe to the outcome.
Two ways to engage — chosen deliberately, because not every business wants to run a data platform.
Model A · Professional Services
Build it. Own it.
A fixed-price, one-time build with full IP transfer. We design, deliver, and hand over the platform — documentation, training, and all. Suited to organisations with the internal technical capability to run what we build.
Model B · Managed Platform
We run it. You use it.
We build, own, and operate the platform as an all-inclusive service — infrastructure, monitoring, quarterly feature additions, AI model upgrades, and a named account manager. Your data remains your property, with full export on exit.
Governance first
Built to be trusted, not just demoed.
Most AI projects treat governance as an afterthought. We embed a complete data governance framework in every phase — because an AI layer is only as good as the discipline underneath it.
Classified from day one
A four-tier classification scheme — Restricted, Confidential, Internal, Public — applied as data lands, not bolted on later.
Named owners, least privilege
Data-owner and stewardship roles, least-privilege access control, and scheduled access reviews built into the operating rhythm.
Traceable AI, always
Full data lineage, end to end. Every AI output can be traced back to the data that produced it — no black boxes.
Your data stays yours
Under every model we offer, your data remains your property — with full export whenever you want it.
The foundations
Enterprise-grade, end to end.
The same modern cloud data stack the enterprise runs on — sized and priced for the mid-market:
- Governed ingestion and storage
- Robust, tested transformation pipelines
- Power BI reporting on top
- Enterprise-grade AI services in your own cloud environment (typically Azure)
- Identity and security handled by the platform
- Auditability built in — not bolted on afterwards
Your data is already telling you what to do next.
If your reporting stops at what happened last month — and your team is still asking questions your systems should be answering — let's scope what an Intelligent Data Platform looks like on your stack. A first conversation takes 30 minutes.