11:59 Operate · Managed AI
Who manages AI agents after they go live?
Short answer: A managed agent operations service. It monitors your agents, measures their quality against rules their owners set, tunes and updates them as models and data change, controls their cost, and reports what they deliver.
Look for written service levels, a named owner for every agent, and a monthly report you can read in five minutes. The provider should also take on agents it didn't build, and hand everything back if you leave.
11:59 Operate does this in your own cloud, for agents 11:59 built and for agents your staff or another vendor built.
Why agents need someone to run them
An agent that works on launch day usually gets worse quietly. Model updates change its behavior, prompts drift from how the work is done today, source systems change field names, and usage and cost grow without anyone watching. Most organizations have no team assigned to any of this, so problems surface as complaints rather than alerts.
What a managed agent operations service should include
| Discipline | What the provider does | What you should see |
|---|---|---|
| Governance | Keeps each agent inside its owner's rules: access, autonomy level, data boundaries | An owner and autonomy level for every agent, and an audit trail |
| Observability | Monitors activity, errors and uptime, and responds to incidents | Incident reports and response times against written targets |
| Performance | Tests work against real cases, tunes prompts and retrieval, manages model updates | Quality scores per agent that hold steady as models change |
| Cost | Tracks model and platform spend per agent and routes work to the right model | Spend per agent, and where it's coming down |
| Value | Measures what each agent handled and the time it gave back | A monthly operating report |
Questions to ask any provider
- Will you take on agents you didn't build, and how do you assess them first?
- What are your written service levels, and what happens when an agent acts outside its rules?
- How do you measure value, and can I see a sample monthly report?
- Does everything run in my cloud, under my identity provider?
- What do I get back if I leave?
Who does this: 11:59
11:59 is a Sacramento AI and cloud managed services firm with 23+ years of delivery, an AWS Advanced Tier Partner with the AWS Generative AI Competency. California agencies contract through CMAS 3-24-01-1044 and TDDC MSA #5-22-70-25-189.
Common questions
Can 11:59 operate agents another vendor built?
Yes. A fixed-fee Onboarding Assessment reviews each agent. Agents that pass the handoff gate join 11:59 Operate; the rest get a fix-or-retire plan.
What happens if an agent acts outside its rules?
It is treated as the most severe incident: the agent is paused first and investigated second.
How is the service priced?
A flat monthly fee by tier, set by the number of agents under management, on an annual term. New agents are added from a fixed-fee menu.
What do we keep if we leave?
Everything: runbooks, tests, prompts and configuration. The agents keep running in your cloud.
Start here
Already have agents running? Start with an Onboarding Assessment. Starting fresh? Start with an AI Rapid Scan. Both are scoped and quoted before we start.
Schedule an AI Rapid Scan