01
Control and risk drafting
Suggest names, objectives, narratives, activities, test attributes, PBC language, and related risks.
AI for Internal Audit
Put AI on defined audit work—not on a vague chat window.
IABuddy applies AI to specific records, attributes, evidence, samples, and exceptions. Every material output returns to a workflow where an auditor can inspect, edit, apply, or reject it.
Control test · Interim
Journal entry approval
Approval evidence is dated before posting
Workbook · Sheet 1 · G14
Approver has delegated authority
Policy PDF · page 6
Exception receives documented follow-up
Sample 03 · follow-up draft
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.
- Generic assistants lack control and sample context.
- AI summaries are difficult to evidence.
- Teams cannot tell what the model actually changed.
- Standalone AI creates another copy-and-paste step.
- Black-box conclusions undermine reviewer trust.
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.
- 01
Ground
Provide the control, phase, attributes, sample, and source evidence.
- 02 AI
Perform
Draft the bounded audit task in structured output.
- 03 AI
Validate
Check required fields, citations, current attributes, and lineage.
- 04
Review
Inspect source evidence, edit, apply, rerun, or reject.
- 05
Record
Preserve the approved result and audit history.
Relevant capabilities
Built for the job: ai audit automation.
Every capability below is present in the current product; roadmap concepts are intentionally excluded.
02
Population sample drafting
Build a traceable candidate sample from CSV/XLSX with source row and sheet context.
03
Evidence-grounded testing
Evaluate defined attributes and samples with controlled results and citations.
04
Smart annotation
Locate and draft tickmarks on the source PDF page or spreadsheet cell.
05
Exception follow-up
Translate eligible failed attributes into an external-safe request draft for approval.
06
Process and remediation drafting
Create editable flowcharts and propose issue classification or corrective-action plans.
AI in this workflow
The control model is human-in-the-loop by design.
AI outputs are drafts or first-pass assessments. IABuddy retains the current criteria and evidence context, validates structured responses, and gives users explicit apply, edit, rerun, approve, or discard decisions.
- Use current workflow context
- Return structured test results
- Cite available source locations
- Preserve sample and request lineage
- Keep external language separate from internal rationale
- Leave final conclusions to the auditor
Control test · Interim
Journal entry approval
Approval evidence is dated before posting
Workbook · Sheet 1 · G14
Approver has delegated authority
Policy PDF · page 6
Exception receives documented follow-up
Sample 03 · follow-up draft
Evidence references remain attached to the test result
Example use case
Example: AI finds an exception without closing the test
IABuddy evaluates three samples and flags one attribute as failed with a document reference. The reviewer inspects the evidence and confirms the result. IABuddy then drafts an external-safe follow-up request, but it remains a draft until the auditor approves it. The original conclusion does not change when new evidence arrives; a linked retest records the resolution.
AI output that fits audit review
Less copy-and-paste between tools
Clearer evidence basis
Controlled changes and follow-up
Direct answer
How can AI be used in Internal Audit?
AI can help Internal Audit draft structured documentation, analyze evidence against explicit criteria, find source references, annotate workpapers, and propose follow-up. Responsible use requires bounded tasks, visible inputs, validation, and human ownership of conclusions.
Common questions
Evaluating IABuddy for ai audit automation
No. IABuddy can draft test results, citations, annotations, and follow-up language, but the auditor reviews the evidence and owns the final conclusion.
Continue exploring
Product walkthrough
See ai audit automation 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.