Model & Output Drift Monitoring

Know when your AI starts behaving differently, before your customers notice.

Drift Monitoring

Catch Quiet Changes Before They Become Incidents

AI systems change without anyone touching them. Providers update and retire models, a vendor changes its default settings, someone edits a prompt, the documents a chatbot draws from go out of date. The result is drift: answers that slowly get less accurate, less safe, or more willing to share what they should not. Nobody notices until a customer does.

An analyst watching AI monitoring dashboards with trend lines and an alert
Watching Every Month

Scheduled tests against an approved baseline, alerts when results slip, and a quarterly review.

The Details

What's Included

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How monitoring works

  1. Baseline. Together we write a test set for each AI system: the questions customers actually ask, the answers it must get right, the things it must refuse, and the information it must never reveal.
  2. Scheduled checks. The test set runs on a schedule and after every known change to the model, prompt or data. Results are scored against the baseline.
  3. Alerts. When accuracy drops, a refusal stops working, or a test question pulls out information it should not, you hear about it, with the example that failed.
  4. Quarterly review. A short report on trends, what changed, and whether the test set needs updating as your business changes.

What we watch for

  • Accuracy against the answers you have approved.
  • Leakage of personal or confidential information.
  • Safety and tone: refusals that stop working, or answers you would not want attributed to you.
  • Changes in the underlying model or settings, and what they did to the results.
  • Resistance to the prompt-injection attacks found in earlier testing, so fixed problems stay fixed.

Who it is for

Businesses with a customer-facing AI system, or an internal one people rely on for decisions, that needs to keep working the way it was approved. It pairs naturally with red team testing: each finding becomes a permanent test.

Monitoring is a monthly service, priced by how many systems and tests are covered.

Get Started

Start With a Scoping Call

Thirty minutes, by video or on-site. We will talk through how your business uses AI today and where customer data goes, and you will leave with a written scope and quote. Nothing is tested and no data is shared until a written agreement is signed.

Schedule a Scoping Call Send a Question

I am Larry Collett, the AI Expert and Automation Workflow developer in Charleston, SC and the surrounding Lowcountry area.