Managed AI Services for Agents and Automations

Managed AI services are the ongoing work of running AI agents and automations once they are live. That includes monitoring, evaluation of prompts and model behaviour, workflow maintenance, cost control and steady improvements. We can look after systems we built or systems your team built. Scope is agreed in a discovery call.

AI operations is the day-to-day running of AI systems: watching behaviour, handling failures, updating prompts and keeping integrations working. LLMOps is the same discipline applied to language model applications, including evaluation sets, prompt versions and model changes. We cover both under one managed service.

Often, yes. We start with a review of the system, its documentation, access and current behaviour, then tell you what we can take on and what needs fixing first. If a system is hard to operate, we say so and propose the work needed to make it maintainable.

We keep a test set of real cases with known good outcomes and rerun it whenever a prompt, model or data source changes. We also review samples of live conversations or outputs. This shows whether quality is holding, improving or drifting, so changes are made on evidence.

We look at where usage goes, then reduce waste: shorter prompts, caching, routing simple tasks to lighter models and stopping unnecessary calls. Quality is rechecked against the test set after each change. You receive a clear view of what drives cost, with options for you to approve.

You receive a monitoring report covering behaviour, incidents and costs, a record of changes made, and an improvement backlog with recommendations. A named lead owns support and is your contact. The reporting rhythm and support scope are agreed with you at the start and written down.

Yes. Ongoing infrastructure and delivery support, and general software maintenance, can sit alongside managed AI work. We confirm what is included in the scope discussion and put it in writing. If you need extra engineering capacity, see our hiring and dedicated team pages.

No numbers are promised on this page. Support ownership, escalation steps and what is covered are agreed for each engagement and put in writing. We tell you early if a system's design makes reliable operation difficult, and we recommend what to fix.