Managed AI operations

Who keeps your AI automations running after launch?

We do. ClosedChats AI operates every system we build: 24/7 monitoring and alerts, multi-model failover, self-healing fallbacks, monthly optimisation reviews, and a 15-minute response on critical issues against a 99.9% uptime target. When a model changes or an API breaks, we patch it, usually before you notice.

What do we build?

  • 24/7 monitoring and alerting
  • Multi-model routing with automatic failover
  • Self-healing fallbacks for common failures
  • Monthly optimisation and cost reviews
  • On-call response for critical issues
  • Capacity and cost dashboards

How does an engagement run?

  1. 01

    Handover from build

    Every system we ship moves straight into operations with monitoring, alerts, and runbooks already in place.

  2. 02

    Watch and respond

    Alerts reach a person, with a 15-minute response on critical issues.

  3. 03

    Monthly review

    We review accuracy, cost, and volume with you, and tune prompts, models, and workflows as your business changes.

  4. 04

    Adapt to change

    Model updates, provider outages, and API changes are absorbed by us, not discovered by your customers.

What changes for your business?

  • AI that keeps working after the launch excitement fades
  • A person on the hook when something breaks
  • Costs that stay predictable as usage grows
  • Continuity when an AI provider changes terms or goes down

Frequently asked questions

Why do AI automations need ongoing operations?

Models change, APIs break, prices move, and your business changes. An automation nobody watches quietly degrades. Operations keeps accuracy, uptime, and cost where they were on launch day.

What is your response time when something breaks?

A person responds within 15 minutes on critical issues, and our monitoring often catches and recovers failures before anyone notices.

What happens if an AI provider goes down or bans access?

We build multi-model routing with failover, so traffic moves to a backup model. Provider outages and access changes become a routing decision, not a business outage.

Can you take over AI systems another team built?

Often yes. We start with an audit of what exists, fix the riskiest gaps, then bring it under the same monitoring and review cycle as our own builds.

How do you keep AI agents secure in production?

Least-privilege access, human approval for sensitive actions, input and output checks against prompt injection, and full audit logs. We review security as part of every monthly cycle.

Further reading

Want this running in your business?

Tell us the workflow. On a free 15-minute call we will say what we would build, in what order, and whether the payback math works.