Implementation
Custom development
Build the AI system. Ship it to production.
Fit
When this is right
- You know the use case and want it built well.
- A first attempt at it stalled or felt off.
- You want a working system, not a vendor evaluation.
Deliverables
What you walk away with
- 01 A production system, deployed in your environment or ours.
- 02 Source code, docs, architecture diagrams.
- 03 Observability and eval hooks so you can see how it performs.
- 04 Human-in-the-loop checkpoints where they matter.
- 05 A reliability profile: failure modes, kill switch, rollback.
- 06 A handover period with your team.
What this looks like
A representative shape. Not a client engagement.
Illustrative · no case studies yet
- Problem
- A services team wants AI ticket triage and reply drafting it can run itself.
- What we'd build
- An 8-week build over the helpdesk, knowledge base, and product docs. Routes by intent, drafts first-pass replies for review, logs every model call.
- Outcome
- Agents edit drafts instead of writing cold. Handle time drops, quality holds, the team tunes it without us.
Custom development is one capability inside a single Services engagement. One contract, one team, scoped with you up front.
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