Agentic AI for compliance
Six specialised agents watch for change, keep compliance status current and propose fixes, with every step traced and every consequential change gated by a human.
Platform overview
The governance operating system.
GoCompliant brings evidence, policies, cross-framework mapping and regulatory change into one operational layer — so proving compliance is something the platform does continuously, not something you assemble before an audit.
Capabilities
A complete compliance system.
Every part of the regulatory programme, from evidence collection through to the auditor's report.
Document generation
Policies, procedures and audit documentation drafted section by section from 67 framework-aware templates, then versioned as they are revised.
Regulatory intelligence
Track regulation as it changes, with analysis of what each change means and which of your controls, policies and evidence it touches.
Risk assessment
Risk scoring and gap analysis identify weaknesses before they become findings, and re-score automatically as the underlying evidence changes.
Workflow automation
Approvals, review cycles and remediation routing, so the work moves between owners without someone chasing it in a spreadsheet.
Analytics
Audit readiness, regulatory exposure and control coverage across the organisation, reported against the frameworks you are certifying to.
Coverage
Four frameworks, one control library.
The controls and document requirements the platform ships with. Progress against them is always computed from your own evidence, never from a sample.
- 4
- Frameworks
- ISO 42001, ISO 27001, EU AI Act, NIST AI RMF
- 229
- Controls
- 38 · 93 · 26 · 72 respectively
- 103
- Document requirements
- Mapped to the controls they satisfy
- 67
- Templates
- Framework-aware, used by every creation path
The core loop
The modules are not separate screens.
Most of the value comes from data moving between them without anybody carrying it. Connectors and uploads feed evidence; evidence and published documents move checklist status; the gaps that remain become draft policies and risks.
01
Collect
Connector scans and uploads become evidence, scored on upload.
02
Assess
Coverage per requirement moves control status automatically.
03
Close
Gaps raise draft policies and risk entries with an owner.
04
Prove
Review packs and audit simulation run against the same records.
Where it connects
Evidence from the systems you already run.
Connectors scan your stack and turn what they find into control-level evidence, so the audit trail builds itself between reviews rather than during them.
Source control, model registries and cloud ML platforms✓
Posture signals mapped to the controls they answer✓
Document sources — SharePoint and Google Drive✓
See the evidence workspace→Next / evaluate the platform
Bring your frameworks.
See the operating system.
We will walk through the platform against your own governance and compliance needs, and what getting to audit-ready would take.