Outcome 01
Evidence Or Data Issue
A record is missing, incomplete, stale, duplicated, or incorrectly mapped. Route it to the source owner.
Collect approved evidence without chasing files across teams. Run configured checks, investigate exceptions, prepare review-ready workpapers, and track remediation in one governed workflow.
Mimasa AI supports financial audit automation while keeping auditors and control owners in charge. Every finding can retain its source, test logic, reviewer, and approval history.
Traceable evidence · Explainable checks · Human conclusions · Governed workflows
Control Objective
Approved transactions require the configured authority sequence.
01 · Evidence
Approved source records
02 · Configured Test
Sequence and threshold logic
03 · Exception
Approval step requires review
04 · Reviewer
Conclusion remains pending
Remediation
Owner assigned · proof required
A financial audit requires independence, professional standards, appropriate procedures, and qualified judgment.
Mimasa does not perform that role. It supports evidence, data preparation, configured tests, documentation, and follow-up.
This makes AI in auditing easier to govern. It also separates task support from automated auditing: Mimasa automates defined work while professionals perform the audit.
This is audit workflow automation with explicit human checkpoints.
01
An authorised auditor or control owner records the objective, frequency, population, evidence, and test logic.
02
The workflow sends requests, assigns owners, tracks deadlines, and records responses.
03
Mimasa compares received records with expected periods, fields, entities, and document types.
04
Approved rules or analysis run over the defined population with input and logic versions recorded.
05
Users inspect sources, add context, request evidence, and separate data issues from valid exceptions.
06
The responsible professional assesses sufficiency, relevance, impact, and final disposition.
07
Owners complete actions, attach proof, and submit the item for review and closure.
Email, shared folders, exports, screenshots, and repeated reminders create delays and weak version control.
Collection alone does not make an item valid audit evidence. The auditor assesses reliability and sufficiency.
| Evidence Field | What The User Should See |
|---|---|
| Source | System, repository, file, or authorised submitter |
| Scope | Entity, process, account, period, and population |
| Version | Extraction time, file version, or governed snapshot |
| Control Mapping | Linked control, procedure, or evidence request |
| Transformation | Extraction, mapping, filtering, or calculation applied |
| Review | Reviewer, comments, status, and approval time |
| Usage | Tests, workpapers, findings, or reports using the item |
This evidence passport is the foundation of audit evidence automation.
Automated control testing works best when the population and rule are clear. Mimasa records the test definition, input population, exclusions, run time, and result.
Control testing automation does not determine control effectiveness. An authorised professional reviews design, operation, exceptions, and conclusions.
Outcome 01
A record is missing, incomplete, stale, duplicated, or incorrectly mapped. Route it to the source owner.
Outcome 02
Approved context explains the difference. Record the rationale and reviewer decision.
Outcome 03
The exception may indicate a deficiency. Escalate it for professional assessment and remediation.
Mimasa prepares the case. The audit or control team decides the outcome.
Internal audit workflow automation connects requests, tests, reviews, findings, and follow-up without losing ownership.
An internal audit workflow can vary by entity, process, risk, or engagement while retaining common governance.
Create approved work programmes, evidence lists, owners, dates, and review stages.
Bring approved documents and data into consistent formats while preserving original sources.
Run configured rules, comparisons, completeness checks, and analytical procedures. Route uncertain results to people.
Draft factual workpaper sections from verified inputs. Keep generated narrative separate from approved conclusions.
Assign remediation, collect proof, record management responses, and track review status.
Internal audit analytics can compare exceptions by process, entity, account, control, and period. Each signal should lead to evidence and follow-up work.
An internal audit dashboard should show the next item needing attention, not only engagement status.
Status labels accompany colour cues. Every measure links to underlying evidence.
Continuous controls monitoring uses recurring or event-based checks to surface potential issues closer to when they occur.
Mimasa can validate expected data, run configured checks, group exceptions, notify owners, and preserve review history.
Some buyers call this continuous controls monitoring software. Mimasa provides configurable intelligence and workflow components, not a pre-certified controls library.
Continuous auditing relates to ongoing audit procedures and independent professional responsibilities. Mimasa may support the workflow, but it does not become the auditor.
This boundary applies to automated audit software and internal controls automation. Mimasa augments defined tasks rather than issuing conclusions.
Mimasa complements specialist financial audit software, audit automation software, and AI audit software. It does not replace every authoritative platform.
| Existing Capability | Its Role | Mimasa AI Role |
|---|---|---|
| ERP, Subledgers, And Finance Systems | Maintain transactions, balances, approvals, and records | Prepare authorised populations and run configured analysis |
| Document Repositories | Store policies, evidence, reports, and workpapers | Classify, extract, search, and connect approved content |
| Audit Management Software | Maintain plans, engagements, risks, controls, and official records | Add intelligence, evidence, and workflow automation |
| GRC Or Control Platform | Maintain control frameworks and compliance records | Use approved control context for checks and follow-up |
| Reconciliation System | Produce matching results and finance exceptions | Gather evidence, explain exceptions, and coordinate review |
AI audit tools can search approved evidence, compare records, explain configured test results, and prepare factual drafts.
Every output shows source context. Generated text remains a draft until reviewed.
AI internal audit, AI financial audit, and AI for auditing must not imply autonomous assurance. AI supports the professional; it does not sign an opinion.
Generative AI in audit can summarise approved material, draft requests, prepare factual narratives, and organise responses.
An agentic AI audit workflow can request evidence, check completeness, run an approved test, create an exception, and ask for review.
Support control exception management, control deficiency tracking, audit findings management, and audit remediation tracking without merging them into one automated decision.
Keep the control, test, evidence, owner, response, and review status connected.
Keep the control, test, evidence, owner, response, and review status connected.
Keep the control, test, evidence, owner, response, and review status connected.
Keep the control, test, evidence, owner, response, and review status connected.
Keep the control, test, evidence, owner, response, and review status connected.
Keep the control, test, evidence, owner, response, and review status connected.
An authorised audit or control owner decides whether the item can close.
Mimasa does not certify that a control framework or audit approach is sufficient.
01
Choose a repeatable control with clear evidence and ownership.
02
State the source, period, entities, expected count, and completeness checks.
03
Record the approved rule, exclusions, thresholds, and review criteria.
04
Name who reviews evidence, exceptions, findings, and closure.
05
Include missing evidence, changed fields, duplicates, access limits, and conflicting records.
06
Compare the workflow with the existing process before relying on it.
07
Measure evidence turnaround, exception ageing, reviewer effort, rework, and adoption.
Start financial audit workflow automation narrowly. Expand after the team validates data, logic, exceptions, and review controls.
Mimasa provides governed evidence automation, data intelligence, workflow orchestration, and reporting around approved systems.
Connect reconciliation evidence, explanations, exceptions, and review.
Prepare reporting evidence, validations, exceptions, and authorised sign-off.
Extract defined fields from approved records and documents.
Design governed requests, reviews, approvals, and remediation steps.
Clear answers about evidence automation, configured control testing, internal audit workflows, monitoring, and professional responsibility.
Connect approved records, configured checks, exceptions, findings, and remediation without removing professional oversight.