Managed AI Operations
Someone owns it on Monday morning.
Implementations decay. Permissions drift, licenses change, models are retired, and the person who understood the design moves on. Managed AI Operations is the standing arrangement that keeps what we built, or what you already run, working and reviewed.
A Simplicity IT engineer will call you shortly.
Request a callWhat it is
Managed operations begin from an accepted production handoff. The agreement names the workloads, evaluation cadence, monitoring, permitted tuning and operating responsibilities. Accepted deployment and evaluation evidence is reused.
What this is not
Initial agent build, knowledge-base implementation and production cutover are separately scoped unless explicitly included once. Changes follow an approved plan and wait for the named customer approver before taking effect.
Who it is for
- Organizations without an internal team to hold the operational load
- Teams whose implementation has already drifted from its design
- Organizations that need continuity of ownership across staff changes
- Customers who want the same team that built it to keep running it
What we do
- Monitoring of the services and configurations in scope
- Permission, license, and configuration drift review on a set cycle
- Change management with approval before production changes
- Incident response within agreed responsibilities
- Microsoft roadmap and retirement tracking for what you depend on
- Reporting written for the person who has to make the decision
What you get
- Named service owner and documented escalation path
- Agreed scope and responsibility boundary
- Regular operational review
- Change log and configuration history
Related resource
Microsoft 365 AI Security and Governance Checklist
The identity, data and governance controls to verify in your tenant before Copilot and agents are switched on.
Preview the M365 AI Security and Governance Checklist