AI Implementation Build
From AI ambition to governed production in 30–90 days.
One high-value use case, taken from design to production — architecture, retrieval, governance and evaluation included. Built by a practice that has shipped enterprise AI, not just planned it.
A working AI capability, not another pilot
Pilots prove models work. Production proves the business case. The difference is architecture: grounded retrieval, governed data, evaluation you can trust and controls your compliance team can sign off.
The AI Implementation Build takes one prioritised use case — usually straight out of an AI Readiness Assessment — and ships it properly: designed, built, evaluated and handed over, in 30 to 90 days depending on scope.
Use-case definition
One high-value use case, precisely scoped — the outcome, the users, the data and the guardrails.
Retrieval & semantic context
RAG and semantic layer design so answers are grounded in your business context, not plausible-sounding text.
Context & prompt engineering
Prompt architecture, context assembly and evaluation loops that make quality measurable and repeatable.
Agent & workflow design
Agentic workflows where they earn their keep — with clear boundaries, fallbacks and human control points.
Governance built in
Provenance, confidence scoring, permissions and auditability designed in from day one, not bolted on.
Production handover
Deployed, documented and handed over — with evaluation baselines and a maintenance path your team owns.
What you get
Deliverables
Everything the build produces — written down, evaluated, and handed over so your team can run and extend what ships.
- Scoped use-case specification
- AI architecture design (RAG / semantic layer / agents as needed)
- Working production implementation
- Evaluation framework and quality baselines
- Governance controls: provenance, permissions, auditability
- Documentation and team handover
Every build starts with a clear scope
We do not start building blind. The build begins with the use case, the data it touches and the architecture it needs — so scope, sequence and evaluation criteria are agreed before any implementation begins.
Investment
Fixed and agreed up front, scoped to the build. No open-ended day rates.
How it works
Three steps, from a scoped use case to a system your team owns
Design
We turn the chosen use case into a concrete architecture and delivery plan — data, retrieval, governance and evaluation.
Build
Hands-on implementation in weekly increments you can see and steer, with evaluation from the first week.
Ship
Deployed to production with governance in place, documentation done and your team owning what happens next.
Not ready to scope a build yet?
Start with the free Data & AI Readiness Check. It scores your data foundations, AI readiness and governance in a few minutes and shows you how ready you are to move from pilot to production.
Take the Data & AI Readiness CheckRelated offers
The build sits between the assessment that scopes it and the leadership that sustains it.
Ship your first real AI capability
Book an intro call and we will scope the use case, the architecture and the timeline — before you commit to anything.
Book an intro call