AI systems degrade silently — models update, prompts drift, and knowledge bases go stale. Our operations practice keeps integrations useful after launch.
The challenge
The hardest part of AI is not the first deployment — it is month three, when nobody monitors token costs, outdated documents feed wrong answers, and users stop trusting the tool.
Our approach
Step 1BaselineEstablish performance metrics, cost tracking, and error alerting.
Step 2TuneRefine prompts, retrieval settings, and routing logic based on real usage.
Step 3MaintainUpdate knowledge bases, rotate credentials, and patch dependencies.
Step 4ReviewMonthly check-ins on accuracy, cost, and user feedback.
Typical deliverables
- Monitoring dashboard setup
- Prompt version history and change log
- Knowledge base update schedule
- Incident response playbook
- Optional retainer for ongoing support
Nimble AI Inc · 150 S 19th Ave, Lemoore, CA 93245 · hello@nimbleai.online