Managed service · managed ai agents
Your agents stay reliable after they go live.
A managed AI agent service keeps production agents monitored, secure, governed and improving. We handle model and prompt changes, compliance evidence, security patching, incidents, cost controls and scheduled optimisation while your team keeps ownership and visibility.
Scope this serviceTypical engagement
Ongoing
Runs
Continuous
Human review
Scheduled
Platform
Your stack
What it does from day one
Defined steps, every run, logged
We monitor performance and drift
Run quality, failures, latency, costs and escalations are reviewed against agreed service thresholds. Changes are tested before promotion.
We maintain security and compliance
Dependencies and integrations are patched, access is reviewed, and evidence is kept ready for internal governance, risk and compliance teams.
We optimise without losing control
Prompts, models, tools and guardrails are improved through controlled releases, with rollback paths and a clear record of what changed.
What it connects to
If a system has an API and an owner who will grant access, we can connect it. Where one does not, we say so in scoping rather than after.
Governance on this service
Audit trail
Every run, input, decision and confidence score is written to a log your team can query.
Human in the loop
Defined thresholds decide what the agent does alone and what goes to a named person.
Data boundaries
Your data stays in your tenancy. Access is scoped, logged and revocable per system.
Cost control
Usage budgets and alerts are set per agent, making spend visible before it drifts.
Bring the agent estate you need to keep production-ready.
We will map the service scope, operational controls, review cadence and responsibilities. An engineer is in the room, not a salesperson.
What we will ask you