AI support, maintenance and optimization
Keep your AI working, and getting better.
We troubleshoot failed workflows, diagnose poor or incomplete outputs, repair integrations, and keep skills, instructions, and business context current as your goals change. When something breaks, you reach a person on our support line, for systems we built and systems someone else built.
Who it’s for
For AI systems your business already depends on.
Teams running AI day to day
Agents, automations, or assistants your business relies on, which need someone looking after them.
Owners of an inherited build
A freelancer or a former employee built it, and now nobody knows how it works.
Teams whose goals changed
The system fit last year’s process, offers, or team, and the business has moved on.
Clients of our builds
Ongoing care for what we built, from the people who built it.
- A workflow that used to run now fails on some days.
- Outputs got worse after a model or platform update.
- An integration broke when a vendor changed something.
- Answers are out of date because the business changed and the instructions didn’t.
- Nobody on your team owns the AI systems anymore.
What we fix
From symptom to repair.
Common problems, what we check first, and the usual repair.
How support is defined
Six parts of support, each one written down.
Support means different things to different people, so we split it into six parts and agree on each in your support agreement before it starts. Coverage outside the agreed hours is never assumed.
What you get
What support includes.
A human support line
Reach a person on our team who knows your systems, instead of filing a ticket and waiting.
Troubleshooting and repair
Errors, failed runs, and broken integrations diagnosed and fixed.
Output quality reviews
We look at what the system actually produces and fix the causes of poor or incomplete results.
Current instructions and context
Skills, instructions, knowledge bases, and context packs kept in step with your business.
Platform change tracking
When models, apps, or connectors change, we check what’s affected and update it.
Ongoing coaching
Short sessions for your team on new features and better ways to use what you have.
A change log
A running record of what we changed, why, and when.
How it works
How support starts.
Review the system
We read what exists, its documentation if there is any, and how your team uses it.
Stabilize
We fix what’s broken and add the alerts and logs it was missing.
Agree the terms
Intake, staffed hours, response targets, maintenance, and improvement time, in writing.
Maintain and improve
Scheduled care plus improvements, recorded in a change log you can read.
Scope
What support covers.
Included
- Troubleshooting and repairs within staffed hours
- Scheduled maintenance of the systems in scope
- Updates to skills, instructions, and context
- Improvement time as agreed
- Coaching for your team
- A change log
Scoped separately
- Large rebuilds or new systems
- A deep rescue of a broken build
- Vendor outages and fixes only a vendor can make
- Coverage outside the agreed hours
Set with you before we start
- Which systems are covered
- Intake channels
- Staffed hours and response targets
- Maintenance schedule and improvement time
FAQ
Common questions
Do you support AI systems you didn’t build?
Yes. We start with a review so we understand how the system works before we change anything. If it needs major repair, we suggest a troubleshooting and rescue engagement first.
Who answers when we need help?
A person on our team who knows your systems. Support runs through a human support line, not a ticket bot.
Is support available around the clock?
No. You can send a request at any time, and a person picks it up during the staffed hours in your support agreement. If you need extended coverage, we’ll discuss it and write down exactly what’s included.
What’s the difference between maintenance and improvement?
Maintenance keeps a system working as things around it change. Improvement makes it do more, or do it better. We set aside time for both so fixes don’t crowd out progress.
How is support different from fractional implementation?
Support keeps existing systems healthy and makes small improvements. Fractional implementation is capacity to build and ship new, planned work.
Is support unlimited?
No. Support covers the systems and hours in your agreement. That keeps response times realistic and makes clear what you’re getting.
Why did our outputs get worse when nothing changed?
Usually something did: a model update, a change in the data the system reads, or a business change its instructions don’t reflect yet. Finding which one is the first step.
Get started
Tell us what needs attention.
On the intro call, describe the system and what’s going wrong, and we’ll talk about the right kind of help.