AI Care Retainer
Getting an AI system running is only half the story. Keeping it accurate over time is the other half.
Like any system, AI performance can drift as your business changes, your documents evolve, or connected tools are updated. Something that worked on day one can slowly produce worse answers unless someone is watching.
The AI Care Retainer keeps what we built for you performing reliably: monitored, tuned, and backed by fast expert support. Think of it as regular maintenance instead of surprise repairs.
Who this is for
- You've had, or are about to have, an AI system built and want confidence it keeps working correctly.
- No one on your team has the specialist experience to detect subtle quality drift early.
- You prefer predictable monthly cost over large surprise recovery work.
- You want direct access to the builder for small requests without launching a new project each time.
What's included
Each month we check your AI systems for accuracy and reliability, apply small tuning updates, and cover a defined amount of priority support and minor changes. The Scale tier includes substantially more hands-on time and works like a part-time AI lead for teams running multiple systems.
How it works
After go-live, the retainer continues where the build ends. We run regular checks, send a concise monthly summary of what was reviewed and adjusted, and keep a direct support channel for small requests with priority response. If a larger issue appears, you hear about it before it becomes an incident.
Why it matters
AI systems rarely fail loudly. They drift quietly. A steady monthly investment protects the value of what you already paid to build and helps ensure you are never the first person to discover something is wrong.
FAQ
What's the difference between Growth and Scale?
Growth covers regular monitoring, tuning, and a defined amount of priority support for a single system. Scale adds significantly more hands-on time and suits teams running multiple AI systems or wanting closer to a part-time AI lead.
What counts as a 'minor change' under the retainer?
Small tuning updates, prompt or rule adjustments, and quick fixes that don't require a new scoped project. Larger requests are flagged and quoted separately rather than silently absorbed or refused.
Can we cancel before the 6-month minimum?
The minimum term exists because meaningful monitoring and tuning need a few months of real usage data. After that term, the retainer continues month-to-month with no further lock-in.
What happens if you find a serious issue during monitoring?
You hear about it immediately, with a plain-English explanation and recommended next step, rather than waiting for the next monthly summary.
Do we need this if our system already works fine?
AI systems drift quietly as your data, documents, or connected tools change. The retainer exists to catch that drift before it becomes visible to your customers or team.
No long-term lock-in beyond the minimum term, no surprise invoices, and clear monthly scope. Your systems and data stay supported, monitored, and in Canada.
Want your AI to stay reliable as your business changes?
Book a free intro call and we will map the right ongoing support level for your current systems, risk profile, and growth plans.