# Audit evidence · Use cases · Dscvry

> Audit evidence: each control mapped to its proof across tickets, logs, approvals and documents, gathered into one pack with gaps flagged before the auditor...

Source: https://dscvryai.com/use-cases/audit-evidence/

# Where is the evidence for the audit?

Every control mapped to the evidence that proves it, gathered from the systems where it already lives, so the audit request is answered in one pack.

See it worked through ·

1. [Home](https://dscvryai.com/)
2. [Use cases](https://dscvryai.com/#use-cases)
3. Audit evidence

## The work was done. The proof is everywhere.

Controls are usually followed. Showing it means screenshots, exports and emails pulled from many systems in the weeks before the audit.

### Scattered proof.

Approvals sit in email, tickets in one tool, logs in another and policies on a shared drive.

### Gathered at the last minute.

Teams stop their work to hunt for evidence when the request list arrives.

### Gaps found by the auditor.

A missing approval or an old version of a policy surfaces during fieldwork, not before.

## What the AI reads.

Every control read against the records that should prove it, in the systems where those records already live.

### In

- Control framework and policies
- Tickets and change records
- Access logs and reviews
- Approvals in email and workflow tools
- Training records
- Previous audit findings

### At work

1. [Understand](https://dscvryai.com/technology/understand/) Reads each control and works out what evidence would prove it.
2. [Check](https://dscvryai.com/technology/check/) Matches records to controls and tests dates, approvers and coverage.
3. [Anticipate](https://dscvryai.com/technology/anticipate/) Flags controls likely to fail before the audit period ends.
4. [Operate](https://dscvryai.com/technology/operate/) Builds the evidence pack and asks owners for anything missing.

### Out

One evidence pack per control, with every gap named and owned.

## Every control evidenced. Every gap owned.

Compliance sees which controls are proven, which are not, and who needs to supply what, before fieldwork starts.

Evidence pack · The reasoning ·

Evidence pack · Change management · Q3 Illustrative

5 controls · 3 evidenced · 1 partial · 1 missing

| Control | Requirement | Evidence | Detail | Records |
|---|---|---|---|---|
| CM-01 | Changes approved before release | Evidenced | Every release ticket has an approval logged first | 148 of 148 |
| CM-02 | Emergency changes reviewed within 5 days | Partial | Two reviews took 8 and 11 days | 10 of 12 |
| CM-03 | Testing recorded for each change | Evidenced | Test results attached to each ticket | 148 of 148 |
| CM-04 | Production access reviewed each quarter | Missing | No Q3 review found in the access tool or email | 0 of 1 |
| CM-05 | Change policy reviewed this year | Evidenced | Policy v3.2 approved 14 March 2026 | 1 of 1 |

Illustrative example. Controls, records and dates are fictional.

## Built for audit readiness.

The AI gathers and checks. Your compliance team still owns what goes to the auditor.

### Every item traced to its system.

Each piece of evidence links back to the record it came from.

How Check works
https://dscvryai.com/technology/check/

### Gaps found before fieldwork.

Missing approvals and late reviews are raised while there is time to fix them.

How Anticipate works
https://dscvryai.com/technology/anticipate/

### Read-only by default.

Evidence is collected without changing the systems it comes from.

How Operate works
https://dscvryai.com/technology/operate/

## Same records. Other questions.

The documents and data behind this work answer other questions too.

What does this contract commit us to?

### Contract obligations

Every obligation, owner and deadline in one list.

See how →
https://dscvryai.com/use-cases/contract-obligations/

What does this new rule change for us?

### Regulatory changes

Map new rules to what the business must change.

See how →
https://dscvryai.com/use-cases/regulatory-changes/

What personal data is in these files?

### Sensitive data

Find it and remove it before anything is shared.

See how →
https://dscvryai.com/use-cases/sensitive-data/

What here isn’t safe?

### Safety checks

Flag what’s unsafe or incomplete.

See how →
https://dscvryai.com/use-cases/safety-checks/

More in Legal
https://dscvryai.com/#use-cases

Every use case
https://dscvryai.com/use-cases/

## Bring us last year’s audit request list.

We’ll map it to your systems and show you which controls are evidenced today and which are not.

[Talk to us →](https://dscvryai.com/contact/?topic=Audit%20evidence%20inquiry)

**London**Discovery AI Limited · United Kingdom

**Hyderabad**ReDscvry Technology Private Limited · India

**Chennai**ReDscvry Technology Private Limited · India