Ignite Builder
AI Engineer
Can put an agent in production Monday morning.
Deep technical breadth: agent orchestration, RAG engineering, evals and production practice.
Ignite BuilderIgnite trains three distinct AI consultant profiles — each designed to close a specific gap in the market. All share the Ignite Delivery Standard, but the specialisation is where the value lies for the client.
AI has moved from experimentation to production, and from single models to entire agentic systems. Different stages require different expertise — and few consultancies cover all three.
The market is flooded with people who can build a working demo. It is undersupplied with those who can make it run reliably with evals, observability and cost control.
Organisations ask 'how do we know the AI answer is good enough?'. That requires evaluation craft — rubrics, golden sets, data governance — which is its own discipline.
7 in 10 enterprise AI projects die at handover. That requires change management, process redesign and regulatory understanding — not just code.
The client has a defined AI need and needs a running system in production
Choose BuilderThe client has AI in use but is unsure of quality or wants to improve it measurably
Choose TunerThe client wants to roll out AI across the organisation, but lacks structure, framework and change methodology
Choose ShaperThe client needs regulatory documentation or EU AI Act compliance
Choose ShaperAI Engineer
Can put an agent in production Monday morning.
Deep technical breadth: agent orchestration, RAG engineering, evals and production practice.
Ignite BuilderApplied AI / Evaluation
Knows whether the AI answer is actually good enough.
Evaluation as craft, fine-tuning, data platforms and agentic analytics.
Ignite TunerAI Transformation Lead
Can make AI actually stick inside a regulated Norwegian enterprise.
Process design, change management, regulatory framing and delivery economics.
Ignite ShaperSix phases, 36 courses and 10 months. The program builds each profile gradually.