For AI governance, it takes a dashboard. MeetLoyd auto-collects evidence, tests controls continuously, scores audit readiness per framework, and gives your auditors their own read-only portal. When the auditor arrives, you're already ready.
Traditional audit preparation takes 12 weeks of evidence gathering, control testing, and documentation. For AI governance — a new category — most teams are starting from scratch.
There's no established playbook for auditing AI agent operations. ISO 42001 is new. EU AI Act is new. Your audit team needs a framework, not a blank page.
AI decisions are ephemeral. Without hash-verified chains, an AI's decision history is just logs that could have been modified. Auditors need tamper-evident evidence.
Source: IIA Global Internal Audit Standards, ISO 42001:2023
"Our auditors don't understand AI"
They don't need to. The audit cockpit translates AI operations into audit language: controls pass/fail, evidence collected/missing, findings open/resolved. The auditor portal gives read-only access with sessions and finding management. It looks like an audit workpaper system, not an AI platform.
Audit language. Not AI jargon."How do you ensure evidence integrity?"
Every piece of evidence is hash-verified. The audit cockpit shows evidence chain integrity: verified count, tampered count, pending count, and overall integrity score (0–100). Chain-of-thought logs use SHA-256 hash chains — tamper one entry and the chain breaks visibly.
SHA-256 hash chains. Tamper-evident."Can we map controls to specific frameworks?"
Yes. 81 controls mapped across 11 frameworks with cross-framework control mapping across 14 control families. The audit cockpit shows per-framework readiness percentage based on relevant control pass rates. COSO 2013 mapping for SOX. ISO 42001 clause mapping for AI management.
81 controls. 11 frameworks. 14 control families."What about continuous auditing?"
Controls are tested continuously, not quarterly. Evidence is collected automatically across 4 phases (audit logs → governance events → agent runs → external systems). The audit readiness score updates in real-time: 40% control pass rate + 20% evidence coverage + 20% integrity score − finding penalty.
Continuous testing. Real-time readiness score.10+ controls mapped to governance modules. Module state = test result. Pass/fail with timestamps. Gap identification: untested controls, failing controls, assumed-only controls.
GET /compliance-cockpit/audit/cockpit4-phase auto-collection from platform events. Hash verification on every evidence item. Evidence-to-control mapping. Export-ready packages for auditor consumption.
4-phase collection pipelineToken-based authentication for external auditors. Read-only sessions with finding management. Dashboard summary: evidence count, control status, framework compliance. No platform access required — auditors get exactly what they need.
Token-based auth. Read-only sessions.Composite audit readiness score (0–100). Per-framework readiness based on relevant controls. Upcoming audit schedule with preparation timelines. Priority-ranked remediation recommendations.
40% controls + 20% evidence + 20% integrityFrom 12-week audit prep to always-on audit readiness with real-time scoring
From manual evidence binders to automated 4-phase collection with hash verification
From "we have a blank page for AI audit" to 81 controls mapped across 11 frameworks
From sharing your platform login to a dedicated auditor portal with token-based access
Continuous control testing. Automated evidence. Auditor portal. One dashboard.