"IA before AI" isn't a slogan here — it's the order we work in. Every engagement runs through the same three governed stages, whether it's a two-week audit or a multi-year partnership.
The model
Here's how we got those results
Every case study below ran through the same three governed stages. Advise, Build and Run aren't separate service tiers you buy piecemeal — they're one continuous engagement. A client can enter at Advise and flow straight through to Run with the same team, the same context, and no re-briefing halfway through.
> hover or tab through each stage — detail below updates to match
Stage 01 — Advise
Understand before we recommend
A governance and data-maturity audit against your actual architecture, not a generic checklist — so what we propose next is grounded in what you actually have.
Data & AI governance maturity audit
Architecture and roadmap review
AI Inception — a short, fixed-scope engagement that de-risks the start of a larger project
Feeds into Build: the roadmap becomes the implementation backlog, not a shelf document.
Stage 02 — Build
Implementation, not a blank canvas
We build on proprietary accelerators rather than starting from zero — moving a use case to production faster, on top of the governance groundwork laid in Advise.
Use-case-to-production delivery, built on accelerators
Governed data pipelines and integration
Production-ready systems — not proofs of concept left in a sandbox
Hands into Run with full documentation and a trained internal team.
Stage 03 — Run
The partnership continues
Delivery doesn't end at go-live. We stay on as an operating partner — continuous optimisation and governance monitoring as your systems and data estate evolve.
Ongoing optimisation and performance tuning
Continuous governance monitoring
Capacity to extend the platform as new use cases emerge
Feeds back into Advise as new needs surface — the loop, not a line.
A client can start at any stage — but most start at Advise, and stay for Run. That continuity, with one accountable partner throughout, is what point-in-time vendors can't offer.
Proof
It works. Here's the proof.
Real engagements across sectors — each one run through the governed model above. Select a case study to open the full initiative breakdown.
Value delivered
Not a line item
Governance is the thread, not a stage
Data & AI Governance doesn't sit before this model or beside it — it runs underneath all three stages. Advise establishes it, Build implements against it, and Run keeps it honest as things change.
It's why we lead with governance as a pillar across everything we do, not just here.
The stages above are how we deliver. These models are how clients work with us — from strategy and full delivery through to on-demand expertise, team augmentation and executive enablement.
Advisory Consulting
Assisting executive leadership in defining strategy, architecture roadmaps, value-driven outcomes and ROI prioritisation.
AI & Data StrategyEnterprise RoadmapsBusiness Case ROI
End-to-End Delivery
Designing, building, delivering and managing scalable enterprise Data & AI solutions for sustained competitive advantage.
Upskilling across modern tools and technologies for client executives — including AI Enablement Sessions and our Women-in-Data pathway for career transitions.
Exec AI EnablementWomen-in-Data TrackLiteracy Enablement
Tailored & modular. Engagements can move between strategic advisory and full implementation as business needs evolve — one accountable partner throughout.
Client-centric agility
Start where it makes sense
Diagnose the foundations first, or bring the leadership table up to speed. Most engagements begin with Advise.