Every decision,reproducible on demand
Every run, approval, override and AI output - captured, versioned and exportable. Built for regulated operations from day one, so internal audit and regulators get a narrative, not a spreadsheet reconstruction.
100%
of runs captured with immutable audit
4-eyes
maker-checker enforced in workflow
SSO
RBAC mapped to your identity groups
1-click
evidence packs for internal audit
Governance pillars
Six controls that make audits a formality
Every workflow ships with the controls your risk, audit and regulator conversations depend on - no bolt-ons, no spreadsheets.
Tamper-evident audit trail
Inputs, outputs, model versions, approver identity and the exact policy in force at run-time - all captured immutably.
Approvals & four-eyes
Maker-checker, four-eyes and delegated approvals per step. Nothing progresses without the right signatures, respecting team boundaries and time-off.
Role-based access
Fine-grained RBAC across workflows, data, integrations and AI models - mapped to your SSO groups. Least-privilege by default; every access decision logged.
Versioned policy & workflows
Every workflow, policy and model prompt is versioned. Diff any two runs; replay any historic decision under the policy that was live at the time.
Data & model lineage
Trace every AI output back to its inputs, sources, model version and prompt. Explainability that survives the audit conversation.
Evidence packs
One-click exports: run history, approval chains, policy diffs, model cards and lineage. Delivered as PDF, CSV or via API into your GRC tooling.
The audit pack
What your auditor gets, in one export
No more reconstruction from Slack threads and inbox archaeology. Every question a regulator or internal audit team asks maps to a section of the export.
See a sample pack- check_circle
Full run history
Every step, timestamp, actor and system involved.
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Approval chains
Who approved, when, under which policy, on what evidence.
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Policy diffs
Point-in-time view of the rules and prompts in force per run.
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Model & prompt cards
Which model, which version, which prompt, which guardrails.
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Data lineage
Source system, transformation, downstream consumer per field.
"The audit trail replaced a six-week reconstruction with a fifteen-minute export. Our regulator walked away satisfied on the first meeting."
See it in the audit trail
Human-in-the-loop isn't a policy statement - it's a log. Here's what one capital call notice actually looks like on Next Matter, from AI draft to human sign-off.
Reads LPA and commitment schedule, calculates drawdown amount per LP
Generates capital call notice from template, populates amount, due date and wire instructions
Notice routed to Fund Controller for review - status: Pending approval
Reviews AI-generated notice against source LPA, edits due date, approves - maker-checker step 1 of 2
Second sign-off - maker-checker step 2 of 2
Notice issued to LP via investor portal; ledger updated; every action above written to the immutable audit log with actor identity, model version and inputs used
Nothing here is reconstructed after the fact. If a regulator or auditor asks who approved this drawdown and what the AI saw before it drafted the notice, the answer is a fifteen-second export, not a war room.
When the regulator calls
don't set up a war room,
just send them the link
Turn every AI-assisted workflow into a governed, timestamped, audit-ready operating model. Move fast without losing control.