Generic GRC
Usually starts from policies, risks, and attestations. It does not naturally begin with AI opportunity demand or create delivery work from governance findings.
AICOMPASS connects business demand, governance routing, control gaps, delivery work, evidence, approvals, and audit reporting in one enterprise operating model.
The home page should feel like the front door of the suite, not a separate marketing site. Its job is to explain the product, route people into the right screen, and reflect the same enterprise tone used across the 16 pages.
See portfolio health, blockers, readiness, and where leadership attention is needed.
Open portfolio viewReview risk routing, obligations, controls, and approval requirements.
Open governance routingConvert gaps into execution work, track evidence, and manage readiness.
Open backlog executionMonitor agents, security posture, incidents, issues, and cost after launch.
Open assurance screensPackage evidence, reports, and traceability for review and sign-off.
Open reports & auditShow how the prototype connects to identity, workflow, evidence, policy, and reporting systems.
Open integration fitThe landing page should preview the same operating path that appears in the PRD: intake, prioritization, governance, backlog, evidence, approval, monitoring, and audit.
Turn scattered AI ideas into visible opportunities with owner and context.
Open intakeBalance business value, feasibility, and risk before work starts.
Open prioritizationAssign review path, obligations, reviewers, and approval needs.
Open governance routingShow what is missing before launch or audit becomes blocked.
Open control gapsBridge the gap between governance findings and execution tasks.
Open backlogTrack proof, reviewer decisions, and readiness sign-off.
Open approvalsKeep watch over agents, incidents, security, and AI cost.
Open assurancePackage the journey into reportable evidence for leadership and audit.
Open reportsThe homepage should make it obvious that this is not a generic AI dashboard or a compliance table. It is a connected operating model for responsible AI.
Usually starts from policies, risks, and attestations. It does not naturally begin with AI opportunity demand or create delivery work from governance findings.
Shows status, but does not explain route decisions, evidence requirements, reviewer ownership, or audit-ready records.
Starts at AI opportunity and carries the initiative through prioritization, governance routing, backlog, evidence, approval, monitoring, and audit.