AI & Partners

Product feature

Model Monitoring

See how every model is performing, live.

Know how every AI system is performing, before anyone asks

Once a model is in production, the question changes from "does it work?" to "is it still working?" AI & Partners tracks the activity, performance and errors of every AI system you run, in one place. The answer is always on screen, not in someone's inbox.

Post-market monitoring with activities, deployments, alerts, errors and AI systems

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Activities

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Deployments

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Alerts

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Errors

Demo environment

Do you actually know what your AI systems did last week?

Most organisations run dozens of models and agents across several environments, built by different teams on different providers. Each has its own logs, its own dashboards and its own definition of "healthy". When a regulator, an auditor or a board member asks how a system is performing, the honest answer is often a scramble across five tools and a spreadsheet.

  • Performance numbers live in each vendor's console, not in a single governance view

  • Errors and alerts are noticed by engineers, not by the people accountable for the system

  • There is no continuous record showing that post-market monitoring is actually happening

Features

One monitoring view across every model, agent and environment

Activities, deployments, alerts and errors for every AI system, on a single screen. See at a glance which systems are quiet and which need attention. 415 alerts and 138 errors is a number you want to see in the morning, not in an incident review.

Post-Market Monitoring Overview in the platform

For your team

What this means for you

  • Know the health of every AI system without opening a single vendor console
  • Hear about performance drops from the platform, not from customers
  • Answer the board or a regulator with live numbers, not a scramble
  • Build post-market monitoring evidence automatically, every day
  • Give every alert an owner, so issues get fixed, not forgotten

How it works

Four steps, running continuously

  1. 1

    Step 1

    Connect your AI systems

  2. 2

    Step 2

    Track activity and performance

  3. 3

    Step 3

    Alert on thresholds

  4. 4

    Step 4

    Report as post-market monitoring evidence

Try it

Switch between performance metrics

Pick a metric to see how it is charted for each AI system.

Accuracy (%)

Date (weekly, last 12 weeks)

Alert threshold: 85%

Accuracy: how often the model's answer is correct, out of all the answers it gives.

Illustrative data

Let's Get Started

See your own models monitored side by side.

Book a Demo

Model Monitoring in Action

Where continuous oversight is no longer optional.

Credit and Fraud Scoring Models

Track accuracy on every decision that affects a customer's money.

Clinical Decision Support Tools

Keep continuous evidence that recommendations stay reliable.

Customer Service Chatbots

See volumes, errors and alerts before customers feel them.

Recommendation and Pricing Engines

Spot performance dips before they hit conversion or margin.

Frequently asked questions

It is the ongoing tracking of an AI system after it goes live: how much it is used, how well it performs and what goes wrong. The EU AI Act requires providers of high-risk systems to run a post-market monitoring system. The platform makes that a standing capability rather than a one-off report.

Let's Get Started

See your own models monitored side by side.

Book a Demo