1. Understand the situation
A user states the outcome. EAIP gathers permitted documents, obligations, risks, current work, evidence, and data freshness into one reviewable context.
How EAIP works
From a business concern to a governed next action.
A realistic scenario makes the operating cycle concrete. Consider an ISO 27001 readiness effort or a cross-functional project that has lost momentum.
See the platform directionAI · Enterprise Artificial Intelligence Planning
2. Plan options
The system identifies gaps, assumptions, dependencies, resources, measures, and alternative paths. The user can inspect why a proposal was made.
3. Approve the decision
The decision brief shows consequence, owner, authority, evidence, and unresolved uncertainty. A material action waits for the right human authority.
4. Execute within bounds
Approved operations coordinate people and connected systems through typed commands. No agent receives authority it has not been granted.
5. Monitor and learn
Outcomes, exceptions, commitments, policy changes, and evidence freshness are tracked. Results are compared with the plan.
6. Replan
When conditions or priorities change, the plan is updated and the next decision is made visible rather than buried in a follow-up thread.
7. Preserve the audit trail
The path links the user, agent, policy, approval, tools, affected records, evidence, and result.
EAIP