THE AGENTICERT FRAMEWORK
Better questions.
Clearer practice.
A shared starting point for examining how an organization develops, governs, and deploys AI. Explore ten areas, then connect the discussion to your systems and evidence.
01AI governanceWho owns the decisions?
Accountable owners, review gates, and escalation responsibilities.
Name a decision owner for each important system change.
02Data privacyWhat happens to the information?
Data categories, transfers, retention, and provider responsibilities.
Follow one data category from collection through deletion.
03Model securityWhat could be misused?
Access, malicious inputs, leakage, and abuse controls.
Record the boundary between user input and tool permissions.
04Human oversightWhere can people intervene?
Review points, approvals, escalation, and stop mechanisms.
Identify the person who can pause a consequential action.
05TransparencyWhat should people understand?
AI involvement, limitations, relevant risks, and accessible explanations.
Explain the system to someone who has never used it.
06Bias & fairnessWho might be affected differently?
Evaluation gaps, affected groups, complaints, and improvement.
Document whose experience your existing tests do not cover.
07Testing & monitoringHow will you notice change?
Pre-release evaluation, ongoing review, failures, and updates.
Connect a release decision to its relevant evaluation record.
08Incident responseWhat happens when something fails?
Reporting, investigation, communication, recovery, and learning.
Make the handoff from a reported problem to an owner explicit.
09User protectionWhere could people be harmed?
Unsafe reliance, safeguards, expectations, and complaint handling.
Identify where a user needs a limit or a way to appeal.
10Responsible deploymentWhen should the system operate?
Release scope, risk review, fallback plans, and withdrawal.
Write down a condition that would change the deployment decision.
MAKE THE DISCUSSION CONCRETE
Connect questions
to what exists.
A framework is most useful when it helps someone make a decision, find an owner, or understand an evidence gap.
What do we need
to understand?
Choose an important issue and define the scope of the review.
Where does it
show up?
Locate the relevant service, data path, permission, or decision.
What supports
the answer?
Record the owner, evidence, date, limitations, and next action.
USE WITH A DEFINED SCOPE
A practical aid
to understanding.
The framework supports discussion and disclosure. It is not a formal certification, legal standard, checklist that proves safety, or substitute for a review suited to your system and context.
Our flagship products explore one practical connection: using infrastructure maps to make data handling and dependencies easier to inspect.
Based on the Agenticert Framework. Conversation prompts on this page are illustrative starting points.
PUT UNDERSTANDING INTO PRACTICE
Start with a question
worth answering.
Tell us what your team needs to understand about its AI systems.