Keep your AI systems useful as your business evolves.
Ongoing technical support, monitoring, and improvement for AI systems, with clear responsibilities and a service scope built around your needs.
Operation is part of the work
Models, data, integrations, and business processes change. A managed engagement creates a regular process for reviewing system behavior and deciding what needs attention.
Support can include
Reviewing reliability, usage, and agreed quality measures.
Investigating issues and maintaining integrations.
Refining prompts, retrieval, and workflows against evaluation criteria.
Reviewing model changes and operating costs.
Planning and implementing agreed improvements.
Agree the service before it begins
We define the covered systems, access, monitoring, communication, response arrangements, and improvement process together. Support hours and service commitments belong in the engagement agreement.
Start with the system you have
We assess the current architecture, documentation, and operational needs before proposing ongoing support.
Frequently asked questions
What does Managed AI include?
Monitoring reliability and quality, investigating issues, maintaining integrations, refining prompts and retrieval, and reviewing model changes and operating costs.
Why do AI systems need ongoing support?
Models, data, integrations and business processes change. Without regular review, accuracy drifts and costs creep up.
Is this 24/7 support?
Not by default. Coverage hours and response times are written into each agreement, and extended coverage can be added if your system needs it.
Can you support a system built by another team?
Yes, after a review. We assess the system, its documentation and the access involved, then confirm in writing what we can take responsibility for.
How is Managed AI priced?
It is scoped around the systems covered and the response times you need, and quoted in writing before the service begins.
Let's see where AI pays off in your business.
Book a free 30-minute consult. We'll listen, ask practical questions and tell you candidly where AI could pay off. No pitch, no pressure.