Managed AI operations
Managed AI operations
Keep your agents useful as your business changes.
Review conversations, maintain business knowledge and refine the configuration as your services evolve.
At a glance
- Conversation and outcome reviews
- Knowledge and prompt updates
- Model and usage optimisation
- Agreed support and escalation
Scope and pricing are agreed after discovery.
An example in practice
A business launches new packages and wants its agents to explain them accurately while keeping the existing booking and support workflows.
Illustrative workflow. Available actions depend on the agreed implementation and connected systems.
How we work
- 1
Agree review frequency, ownership and success measures.
- 2
Review sampled conversations and identify recurring gaps.
- 3
Test improvements to instructions, knowledge and configuration.
- 4
Report changes and recommend the next improvements.
What you receive
A scoped review cadence, change log, optimisation recommendations and support arrangements.
Usage, licences and ongoing support are quoted separately where applicable.
Common questions
- How is a service priced?
- We agree a quotation after reviewing the required workflows, systems and support. Recurring usage or third-party charges are identified in the scope.
- How long does it take?
- The schedule depends on complexity, access to your systems and testing requirements. Milestones are agreed before implementation.
- What do you need from us?
- A project contact, the relevant business information and access to the systems included in the agreed scope.
Related services
AI governance and security
Plans how agents access information, use tools and escalate sensitive decisions, with defined controls and responsibilities.
AI readiness assessment
Turns ideas into a practical plan by reviewing the workflows, information and systems an AI solution needs before anything is built.