AI that stays used, reliable and governed after go-live.
Inflexion Analytics is a global data and AI consultancy. Our AI managed services train your people, monitor quality and cost, and run governance reviews after go-live, so adoption and performance are tracked and improved over time.
Services in this stage
Five ways we keep AI adopted, supported and cost-effective.
SSO, seats, champions and go-live support to get Claude live.
Structured courses on Claude, Claude Code and Cowork with clear outcomes.
Ongoing tier 1–2 support for your Claude Code and Cowork users.
Run the programme that drives usage and governance over time.
Model selection, caching and rightsizing to control spend.
Training by role
Leaders: what AI can and can't do, how to read results, and how to govern it
Everyday users: hands-on sessions in the tools they'll use, with champions in each team
Builders and admins: prompt and workflow design, evaluation, and safe changes to live systems
What we deliver
Everything a live AI system needs to stay used, reliable and governed.
Role-based training and champions that turn launch into daily use.
Monitoring that flags drift and informs performance and cost tuning.
Observability and hallucination checks on the production workflows we manage.
Frameworks that test quality before and after every change.
Clear runbooks and regular reviews against your policies.
Monitoring
Four areas we track on every live system, with alerts and a monthly report.
Accuracy against evaluation sets and hallucination checks, with alerts on regressions.
Active users, adoption by team and drop-off points, in a monthly adoption report.
Model spend, caching and rightsizing opportunities, with cost recommendations.
Latency, errors and failed runs, handled through agreed runbooks.
Best for one or a few live AI systems. Monthly support covering monitoring, incidents, adoption and training per system, with governance reviews on request.
Best for a growing portfolio of AI systems. A retainer with portfolio-wide monitoring, programme-wide adoption and training, a shared evaluation framework and quarterly governance reviews.
Who you work with
Monitoring tied to the data underneath, so issues are found at the source.
Knowledge survives people changes, on your side or ours.
We report on adoption and outcomes, not just uptime.
Support fits your existing IT processes and tools.
Example engagements
Ran training and adoption tracking for a newly deployed AI copilot through its first quarter.
Set up an evaluation framework and hallucination monitoring for a customer-facing RAG feature.
An ongoing AI Centre of Excellence retainer provides quarterly governance reviews across a portfolio of implementations.
FAQ
No. We take over monitoring and adoption for AI systems built in-house or by other vendors, after a short assessment.
Output quality, hallucination checks, latency, usage and cost, with alerts and a monthly report.
Role-based training, internal champions and usage tracking, so we see where people get stuck and fix it.
A standing team and cadence that governs and improves your AI systems as a portfolio, not one at a time.
Starting something new? Go back to Stage 01 and plan the next use case.
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