Concept
Decision Assurance
Decision Assurance is the discipline of operating autonomous AI with confidence by measuring decisions against real outcomes, holding the evidence, and verifying continuously.
In one sentence
Decision Assurance is the discipline of operating autonomous AI with confidence by measuring decisions against real outcomes, holding the evidence, and verifying continuously.
Why it matters
Once an agent acts on its own, the person who used to sign off on the decision is gone. Testing before launch tells you the system can work; it does not tell you the system is working now, on live traffic, for the decisions being made today. Decision Assurance is the operating discipline that fills that gap. It is not a dashboard or a single metric. It is the standing practice of tying each decision to what actually happened, keeping a record you can stand behind, and repeating the check as the world changes.
Business context
Decision Assurance shows up wherever an organization has put an agent into a workflow that used to have a human approver: claims adjudication, credit decisions, order fulfillment, tier-one support. A leader cares because accountability did not move when the human did. The board, the regulator, and the customer still expect whoever owns the function to answer for what the AI decided, and "it passed testing" is not an answer that survives an audit or an incident review.
Where it fits
Decision Assurance is the whole discipline. It stands on three properties, each a concept of its own. Measure the result, keep the proof, and never stop checking.
The full vocabulary ladder, and the set of commitments the discipline asks of you, are laid out in the research treatment. This page names the shape; it does not restate the argument.
When it applies
Any time an agent makes a decision the business will be held to. A procurement bot that approves a purchase order, a claims agent that pays or denies, a scheduling agent that commits a technician to a site. If the result matters to someone downstream, the decision needs assurance, not just a green run.
Common misunderstandings
It is not a product or a dashboard. It is an operating discipline that a tool can support but not replace.
It is not the same as testing or evaluation. Those check whether the system can work before it acts; assurance checks the decisions it is making right now.
It is not a one-time certification. A decision assured last quarter is not assured today.
Related concepts
In the product
Where this shows up in Provy. Provy is built to run this discipline for you:
it ties each agent decision to its real outcome and keeps the record. How it does that is not the
subject of this library. See the product →
Related insights
Further reading
- Provy Research. Decision Assurance (the framework and its commitments).
- Provy Research. The Enterprise Confidence Gap.