Health monitoring
We watch accuracy, cost, latency, and volume, and act before a metric becomes a problem.
06 / Continuity
Consulting & Support
The systems we build keep working after launch — but models drift, tools change, and new opportunities appear. This is the retainer that keeps your AI stack sharp.
Every quarter, prompts age, an API deprecates, volume patterns shift, and a workflow that was manual last year is now worth automating. Left alone, an AI system slowly gets less useful. We stay close: monitoring the numbers, refining what's live, and proposing the next build when the signal is clear.
It also works as a fractional AI function for teams that don't have one — a standing partner for roadmap calls, vendor decisions, and the 'can we automate this?' questions, with the context to answer them fast.
What a build includes
Ongoing refinement
Prompt and threshold tuning, knowledge-base upkeep, and fixes as your tools and data change.
Roadmap partnership
Quarterly reviews of what to automate next, with an opportunity model for each candidate.
On-call for changes
A known team to handle the integration break, the new channel, the sudden spike.
Start here when
- You have AI in production and no one owns keeping it healthy.
- Every model or tool change turns into a fire drill.
- You want an AI roadmap but not a full-time hire yet.
What changes
- Systems that stay accurate and cost-effective over time
- A clear, prioritised plan for what to build next
- Someone accountable when something changes
Ready to scope Consulting & Support?
Tell us the process or goal. We reply to every serious inquiry within one business day — your message arrives with “Consulting & Support” already selected.