Custom AI agent · Legal & Compliance
AI Audit Evidence Collection Agent
Collect audit evidence with a traceable path from control request to reviewer-ready package.
Coordinate audit evidence requests, source context, completeness checks, and reviewer-ready packages without replacing professional judgment.
- Turn scattered files, screenshots, tickets, and system exports into organized evidence requests.
- Show what is missing, stale, duplicated, or not linked to the right control before review.
- Give auditors and control owners a clear chain of custody without replacing professional judgment.
Starting at $300 USD/month
Starting price for a tailored solution. Scope, integrations, usage, hosting, and ongoing support are defined before work begins.
What is an AI audit evidence collection agent?
The AI Audit Evidence Collection Agent coordinates evidence requests across control owners, systems, and review periods. It maps each request to the relevant control, gathers authorized artifacts, checks basic completeness and freshness, preserves source context, and prepares a reviewer-ready package with human checkpoints.
Make evidence collection easier to trace and review.
Control-linked evidence requests
Create focused requests that state the control, period, artifact type, owner, due date, and acceptable source.
Evidence intake and source context
Collect files, ticket references, exports, and links while preserving owner, timestamp, source, and submission context.
Completeness and freshness checks
Flag missing periods, unreadable files, duplicates, unsupported formats, and evidence that may be outside the review window.
Reviewer-ready packages
Assemble organized evidence with a visible request trail, open questions, exceptions, and human approval checkpoints.
Where it can help
SOC 2 and control evidence cycles
Coordinate recurring evidence requests across engineering, IT, finance, and people operations.
Internal audit fieldwork
Give control owners a structured path to submit artifacts while helping auditors see gaps and follow-ups.
Vendor and regulatory reviews
Track evidence by vendor, requirement, period, and accountable owner without losing source provenance.
How it works
A step-by-step workflow your team can review before launch.
1. Define
Load controls, evidence standards, review period, owners, and deadlines into the collection plan.
2. Request
Send each owner a focused request with acceptable sources, context, and escalation timing.
3. Check
Review submissions for basic completeness, freshness, duplicates, and control linkage before human review.
4. Prepare
Package accepted artifacts with provenance, open questions, and exception notes for the authorized reviewer.
Built around your business
What we configure
- Control library, frameworks, evidence standards, review periods, and naming conventions
- Owner matrix, escalation timing, approval gates, and reviewer responsibilities
- Ticketing, document storage, GRC, identity, cloud, and collaboration integrations
- Retention, access, redaction, audit trail, and export requirements
What we need from you
- Current control inventory and evidence expectations for each review
- Authorized sources, owners, reviewers, and escalation rules
- A supported location for files, tickets, exports, or system references
- Human approval criteria for acceptance, exceptions, and final submission
Clear boundaries before launch
What it will not do
This agent does not certify controls, determine audit conclusions, fabricate missing evidence, alter source records, or grant access to confidential systems. It can organize and flag evidence, while control owners, auditors, and compliance leaders remain responsible for judgment and final acceptance.
How success is measured
Measure request completion rate, evidence turnaround, first-pass completeness, stale or duplicate artifact volume, follow-up cycles, time to reviewer-ready package, and unresolved evidence exceptions.
Frequently asked questions
What does the AI Audit Evidence Collection Agent do?
It coordinates evidence requests, gathers authorized artifacts, checks basic completeness and freshness, preserves source context, and prepares packages for human review.
Can it work with our existing controls and frameworks?
Yes. The workflow can be configured around your control inventory, framework, evidence standards, review periods, and accountable owners.
Does it decide whether a control passes?
No. It can surface gaps and organize evidence, but control owners and qualified reviewers make acceptance and audit judgments.
What types of evidence can it collect?
Depending on your systems and permissions, it can coordinate documents, screenshots, ticket references, exports, links, and other approved artifacts.
How does it handle missing or stale evidence?
It can flag missing periods, outdated artifacts, duplicates, or unclear control linkage and route follow-up actions to the appropriate owner.
Can it preserve an audit trail?
The design can retain request status, source context, timestamps, owners, reviewer notes, exceptions, and final package references subject to your policies.
What is the starting price?
Custom implementations start at $300 USD/month. Final pricing depends on scope, integrations, usage, hosting, and support.
