Managed AI Employees, Reported Monthly
We run your AI employees like a good operations manager runs a team: watching the work, fixing what breaks, teaching new skills and reporting the numbers every month.
Everything it takes to keep an AI employee getting better
- Monitoring: daily checks on volume, errors and escalations
- Improvement: prompt and workflow tuning as your work changes
- New skills: extra tasks added to existing agents
- Support: a named contact who knows your workflows
- Governance: access reviews and audit-log checks
Your monthly report
| Hours saved | vs your manual baseline |
|---|---|
| Volume handled | items worked by the agent |
| Error rate | mistakes caught and fixed |
| Escalations | what went to people, and why |
| Capacity gained | FTE equivalent returned to the team |
| Next | the skill or workflow we recommend adding |
When managed makes sense
No AI team in-house
You want the outcome, not a new capability to hire for.
More than one agent
Agents across teams need consistent monitoring and reporting.
Work that changes
New products, rules or systems mean the agent needs regular tuning.
Managed service FAQs
Is there a lock-in?
No. The retainer is rolling. You own your configuration and data, and we’ll hand over a runbook if you take it in-house.
What if we built the agent elsewhere?
Talk to us. We’ll review it first and tell you honestly whether we can run it.
How is the price set?
By the number of agents and the volume of work, and always against the cost of the work the agents take on.
Find your first AI employee in 45 minutes
Bring one workflow your team spends too long chasing. We’ll tell you honestly whether an AI employee can own it, what it would take and what it could return.
