AuditProof verifies one AI agent activity record in the self-serve demo and supports managed pilots for full workflow evidence packages.
Compliance, legal, and risk teams are being asked to stand behind AI agent decisions — without a record of what those agents actually did. Logs sit in three places, screenshots are kept in chat threads, and outputs ship without verification. That gap is the audit risk.
An agent approved an invoice. Another agent answered a customer. A third filed a vendor change. Six months later, an auditor asks who approved what — and the trail is a chat transcript and a screenshot.
Existing AI tooling tells you a model ran. It doesn't show why the output is safe to act on, who reviewed it, or what evidence the agent used. Regulators want evidence — not log lines.
SOC 2, ISO 42001, the EU AI Act, NIST AI RMF, state-level AI disclosure rules — every framework lands on the same question: show us your agent activity, your verification, and your human oversight.
Use the self-serve form for one agent activity record. Managed pilots package full workflow evidence for audit teams.
Name one workflow, agent, and policy context in the demo. Managed pilots handle broader workflow setup.
The self-serve demo records the submitted action fields. Managed pilots connect to ongoing activity feeds.
Each submitted output is checked against the supplied fields and evidence. Prior-run comparison belongs in managed pilots.
Each action is hashed and linked to its evidence — readable in plain English.
PDF for legal and the board. JSON for your GRC system — readable by humans, parseable by machines.
AuditProof creates retrievable proof records from submitted activity. The demo is single-record; managed pilots add chain-of-custody review and internal audit evidence packages.
Every entry in the AuditProof ledger captures the same fields — so a controller, an auditor, or a regulator opens any report and reads the same shape of evidence.
Which Authorized AI Workflow ran the action, what version, registered in SwarmSync.
Which company, business unit, or team owns this agent and this record.
The exact task description and the workflow node the agent ran from.
UTC, monotonic, locked at the moment the action was committed.
Every document, record, or tool call the agent referenced, with a hash.
The decision, the document, or the action the agent committed to.
Pass / fail for each policy check, with the rule that fired the result.
Anything the agent or the policy flagged as worth a human look.
Reviewer name, decision, and the moment they signed off — if required.
The hash-chained reference any auditor or regulator can quote back to you.
Verified, held, escalated, rejected — one status, applied by policy.
PDF for legal and the board. JSON for your GRC system.
AuditProof reports are designed to be read by the teams that actually have to defend AI agent activity to a regulator, an auditor, or a board.
Every invoice, payment release, vendor change, and reconciliation that an Authorized AI Workflow touches can be packaged into a proof record designed to support external audit review.
Capture what the support agent said, what evidence it used, and which human reviewed the escalation — so disputed interactions have a defensible record.
When an agent drafts a policy memo, a regulatory summary, or a control narrative, AuditProof records the inputs, the reviewer, and the version that shipped.
Document how an AI workflow vetted a new supplier — KYB checks, sanction screens, contract diffs — with one report you can attach to the vendor file.
One feed of every Authorized AI Workflow inside your business — what it ran, what it touched, what it changed — with risk flags surfaced in line.
n8n, CrewAI, LangGraph, custom — AuditProof normalizes records so governance reads the same shape of evidence for every workflow you run.
Pull a sample of agent actions, walk the proof trail, and document the control test — without leaving the report. Built for audit working papers.
Roll up reliability scores, flag counts, and human-review rates by workflow into a single board-pack page — the answer to “where is AI inside the business?”
AuditProof helps teams collect structured evidence for AI governance reviews. It records what the AI system did, what was checked, who reviewed it, and what decision was made.
Create records that support oversight, logging, human review, and control documentation for high-risk AI workflows.
Show that AI-generated work is reviewed, risk-scored, and routed before it affects business operations.
Support AI management-system documentation with proof records, policy checks, review history, and exportable reports.
Pick one AI workflow you'd defend to an auditor today. We map it, capture 100 agent actions, verify the outputs, and ship back the audit binder your legal and risk teams have been asking for.
Submit one AI workflow or agent activity record. AuditProof checks the supplied fields, flags missing review data, and generates a proof ID your team can review.
Article 12 enforcement begins August 2, 2026. This 90-day fixed engagement maps your high-risk AI systems, builds an Article 12-oriented logging architecture, and delivers a draft regulator report package before enforcement starts. Evidence intake is coordinated after checkout; this page does not upload files.
SwarmSync was built to verify paid AI agent work. AuditProof applies that same infrastructure to a specific business need: proving what AI agents did and whether their work can be trusted.
Every agent output is checked against policy, prior runs, and the evidence the agent used.
Every action ships with the reasoning, the evidence, and a hash-chained timestamp.
Each workflow has a tracked reliability score. Bad runs are surfaced, not hidden.
Hand a single export to internal audit, external review, or your board.
Every Authorized AI Workflow has a named owner, a policy, and a revocation control.
Flags, escalations, and reliability drift are reported in line — not buried in logs.
Send us one AI workflow. We send back the binder your legal, compliance, and risk teams have been asking for.