On-prem AI infrastructure support
Your on-prem AI infrastructure.
Looked after.
Documents and tools keep changing. We help keep the deployed system useful and maintainable, from model updates and monitoring to staff training and day-to-day support.
What the work covers
Built around your business.
Monitoring and troubleshooting
Track the agreed service health, failures, and performance measures. Investigate issues using approved logs and access arrangements.
Updates with evaluation
Test model and software changes against representative tasks before deployment. Agree rollout and rollback procedures so improvements can be introduced deliberately.
Training and feedback
Help staff use the system, review its outputs, and report problems. Turn recurring feedback into a prioritised list of improvements.
The next useful workflow
Review actual usage and results. Extend the system when there is a clear business case, reusing what already works.
A practical next step
Make the first project clear.
- Agree responsibilities, support hours, and escalation routes.
- Establish monitoring and a repeatable evaluation process.
- Review usage and prioritise the next improvements together.
Before we start
Practical questions.
What does ongoing support cover?
We agree the support scope, service hours, escalation routes and operating responsibilities before rollout. That can include monitoring service health, investigating failures, helping staff use the system and prioritising workflow improvements. Troubleshooting uses approved logs and access arrangements, with a clear division of responsibilities between the internal team and Friday.
How are model and software updates introduced?
Changes are evaluated against representative tasks before deployment, so an update can be judged on actual daily work. We agree rollout and rollback procedures as part of the operating plan. Usage, reported problems and staff feedback then help prioritise which changes or additional workflows are worth pursuing next.