Managed AI Services

Launch is the start. We keep it working.

AI systems drift. Your data changes, your systems get updated, your people find new uses and new edge cases. A monthly retainer keeps what we built accurate, supported and growing.

Who it's for

Companies that have AI tools, integrations or agents in production and don't want to hire a full internal team to run them.

  • You've launched a build with us and want it maintained
  • Your ERP or CRM vendor pushes updates that could break an integration
  • Users have questions and requests and no one internal owns them
  • You have a backlog of next use cases and want a steady way to work through it

What you get

  • Monitoring

    We watch integrations, agents and usage for errors, failed connections and drops in quality, and fix issues before they pile up.

  • Tuning

    We adjust prompts, instructions, retrieval and permissions as your data, documents and systems change.

  • New use cases

    Each month, part of the retainer goes to the next item on your list: a new connector, a new role profile or a new agent task.

  • User support

    A named contact your team can reach with questions, problems and requests.

How it works

  1. Step 1: Agree on scope

    We define what's covered: which systems, which users, response expectations and how new work gets prioritized.

  2. Step 2: Monthly operations

    Monitoring, tuning and support run continuously in the background.

  3. Step 3: Monthly review

    A short review with your lead: what broke, what we fixed, adoption by department and what's next.

  4. Step 4: Build the backlog

    New use cases are scoped and delivered within the retainer, or as a separate fixed-fee build if they're large.

Frequently asked questions

Can you manage AI systems someone else built?

Sometimes. We'd start with a review of what's running, how it's built and how it's documented, then tell you whether we can support it or whether parts need rework first.

Is there a long-term commitment?

Terms are set in each engagement agreement. We'd rather keep clients because the work is useful than because a contract says so.

What if we need something big mid-month?

Small requests fit inside the retainer. Larger work gets scoped as a separate fixed-fee build with its own deliverables, so the retainer doesn't turn into an open-ended bill.

Keep your AI tools earning their keep.

Book a call. Tell us what's running today and what's not getting enough attention.

Book a discovery call