Solutions

Measure your AI. Understand the risk. Decide with evidence.

Practical analysis and guidance to help you evaluate, oversee and improve AI-assisted decisions.

Our services

AI Decision Analytics

We analyze the records your organization already keeps and show what your AI is doing, what to expand, fix or stop, and the evidence behind each finding.

Organizational AI Readiness

Three parts that work together: AI governance, training for the people who use AI, and continuous measurement, so you are never left on your own after the work is done.

Advisory

One-to-one guidance on AI, data, datasets and methods decisions.

Training

Built for the individual first, then shaped for teams.

Discuss an AI decision → See how an engagement works →

Questions METRIS™ helps you answer

For health plans

  1. Does your team really understand how much of each decision the AI made, and how much a person made?
  2. Can you prove a licensed person made every AI-assisted denial?
  3. Are your reviewers checking the AI's work, or only agreeing with it?
  4. Would you know within a week if your AI vendor's update changed your denial rate?
  5. How can you see what your AI is doing as it happens, instead of at month end?
  6. Can you predict next quarter's audit risk, and reduce it before an auditor arrives?
  7. Does your organization have a methodical way to report AI-assisted decisions to regulators and your board?

For providers

  1. Is your AI saving your nurses time, or adding steps to their day?
  2. Which of your denials could have been avoided, and what pattern links them?

For business owners

  1. How much of your business can you safely hand to AI, and who is responsible when it goes wrong?
  2. Is AI actually saving you time and money, or does it only feel that way?

For life sciences and biotech

  1. When AI screens patients for a clinical trial, can you show a person checked every exclusion?
  2. Would you know if a model update changed who qualifies at one of your sites?

For startups

  1. Can you show a customer's security reviewer how your AI performs, and what changed when you switched models?
  2. Did your last model switch save money at the cost of accuracy?