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01SERVICE
AI Engineering
Move one valuable AI use case from an attractive demonstration into a governed workflow with source grounding, human review and clear ownership.
WHEN THE SIGNAL APPEARS
Recognisable operating conditions
- Specialists spend time finding and reconciling information before they can act
- Teams are testing public AI tools with sensitive or business-critical material
- A promising copilot or automation has no route into the systems where work happens
WHAT LEAVES THE ENGAGEMENT
Concrete delivery artefacts
- Use-case assessment with value, risk and data-readiness criteria
- A secure Azure OpenAI, RAG or agent workflow connected to approved sources
- Evaluation, human-review and operational handover requirements
THE DECISION TO MAKE CLEAR
Is this task suitable for AI, and what must be true for the team to trust it in daily work?
Discuss ai engineering with Leano.
Bring us the current workflow, systems and outcome. We will help define a credible first scope.