Internal audit software

Give a lean audit team more capacity to perform the work.

Connect risk and control documentation, process flows, fieldwork, testing, workpapers, review comments, issues, and status—then use AI for defined tasks your auditors can verify.

Control test · Interim

Journal entry approval

3 / 3 samples tested

Approval evidence is dated before posting

Workbook · Sheet 1 · G14

Pass

Approver has delegated authority

Policy PDF · page 6

Pass

Exception receives documented follow-up

Sample 03 · follow-up draft

Review
Evidence references remain attached to the test result
The current process

The work is connected. The tools usually are not.

Lean teams feel every broken handoff because the same person often has to reconstruct the context.

  • Planning and fieldwork live in different tools.
  • Auditors spend more time formatting than evaluating.
  • Process documentation becomes stale.
  • Review notes lose their evidence context.
  • Issues are copied into a separate remediation tracker.
A better workflow

Preserve context from the first decision to the reviewed result.

Each step produces structured context for the next—so automation can act on the actual audit record.

  1. 01 AI

    Understand

    Document risks, controls, and process flows.

  2. 02

    Plan

    Define scope, phases, owners, and testing readiness.

  3. 03

    Fieldwork

    Collect evidence and keep samples organized.

  4. 04 AI

    Evaluate

    Perform automated or manual testing with workpapers.

  5. 05

    Act

    Review, resolve issues, and report operational status.

Relevant capabilities

Built for the job: internal audit.

Every capability below is present in the current product; roadmap concepts are intentionally excluded.

01

Risk and control documentation

Manage linked risks, controls, objectives, owners, narratives, and testing criteria.

02

AI-drafted process flows

Turn narratives or documents into editable flowcharts with linked controls and process-owner validation.

03

Flexible fieldwork

Use automated or manual testing in the same phase, evidence, workpaper, and review structure.

04

Connected workpapers

Inspect PDFs, spreadsheets, documents, presentations, images, CSV, and email evidence in context.

05

Structured review

Assign review levels, discuss notes, return work, reopen it, and retain sign-off history.

06

Issue management

Carry ineffective tests into owned remediation plans with severity, milestones, due dates, and validation.

AI in this workflow

Delegate bounded audit tasks, not professional judgment.

AI can draft the process map, test the current attributes against evidence, place citations and annotations, and propose next steps. The auditor decides what is correct and complete.

  • Draft controls and risks
  • Generate editable process flowcharts
  • Create first-pass testing documentation
  • Locate citations and tickmark workpapers
  • Draft exception follow-up
  • Propose remediation classification
Read the ethical AI policy

Control test · Interim

Journal entry approval

3 / 3 samples tested

Approval evidence is dated before posting

Workbook · Sheet 1 · G14

Pass

Approver has delegated authority

Policy PDF · page 6

Pass

Exception receives documented follow-up

Sample 03 · follow-up draft

Review
Evidence references remain attached to the test result
Example use case

Example: procure-to-pay operational audit

An auditor imports the control population, generates a draft process flow from the walkthrough narrative, and links relevant controls. Evidence is requested and tested in the same workspace. Review notes point back to the source document, and an ineffective result creates an owned issue rather than a disconnected spreadsheet line.

More auditor time spent on judgment
Stronger connection from process to evidence
Less review rework
One operational view of fieldwork and issues
Direct answer

What is an AI internal audit platform?

An AI internal audit platform combines audit management records with AI that can perform bounded tasks such as drafting process maps, evaluating evidence, documenting tests, and proposing follow-up. Reviewable AI keeps source evidence and professional sign-off in the workflow.

Common questions

Evaluating IABuddy for internal audit

No. IABuddy can draft test results, citations, annotations, and follow-up language, but the auditor reviews the evidence and owns the final conclusion.

Product walkthrough

See internal audit run as one workflow.

Bring one control, one testing phase, or one evidence workflow. We’ll show you how it runs from plan to reviewed result.