Mimasa AI™
AI For Financial Services

Audit Evidence And Control Testing Automation

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 Review WorkspaceProfessional Review

Control Objective

Approved transactions require the configured authority sequence.

  1. 01 · Evidence

    Approved source records

  2. 02 · Configured Test

    Sequence and threshold logic

  3. 03 · Exception

    Approval step requires review

  4. 04 · Reviewer

    Conclusion remains pending

Remediation

Owner assigned · proof required

Open
Professional Boundary

Reduce Audit Administration, Not Professional Judgment

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.

  • Collect approved files and records
  • Check expected evidence
  • Map evidence to controls
  • Prepare complete populations
  • Run transparent checks
  • Group and route exceptions
  • Draft source-linked workpapers
  • Track findings and approvals
Control Journey

Follow One Control From Request To Resolution

This is audit workflow automation with explicit human checkpoints.

  1. 01

    Define The Control And Test

    An authorised auditor or control owner records the objective, frequency, population, evidence, and test logic.

  2. 02

    Request Approved Evidence

    The workflow sends requests, assigns owners, tracks deadlines, and records responses.

  3. 03

    Check Completeness

    Mimasa compares received records with expected periods, fields, entities, and document types.

  4. 04

    Run The Configured Check

    Approved rules or analysis run over the defined population with input and logic versions recorded.

  5. 05

    Investigate Exceptions

    Users inspect sources, add context, request evidence, and separate data issues from valid exceptions.

  6. 06

    Approve The Conclusion

    The responsible professional assesses sufficiency, relevance, impact, and final disposition.

  7. 07

    Track Remediation

    Owners complete actions, attach proof, and submit the item for review and closure.

Evidence Collection

Automated Evidence Collection With Clear Lineage

Email, shared folders, exports, screenshots, and repeated reminders create delays and weak version control.

  • Issue scheduled evidence requests
  • Retrieve authorised records
  • Classify files and defined fields
  • Check period and entity
  • Identify duplicates or missing items
  • Connect items to controls
  • Notify incomplete owners
  • Preserve timestamps and history

Collection alone does not make an item valid audit evidence. The auditor assesses reliability and sufficiency.

Evidence Passport

Give Every Important Item A Traceable Identity

Evidence FieldWhat The User Should See
SourceSystem, repository, file, or authorised submitter
ScopeEntity, process, account, period, and population
VersionExtraction time, file version, or governed snapshot
Control MappingLinked control, procedure, or evidence request
TransformationExtraction, mapping, filtering, or calculation applied
ReviewReviewer, comments, status, and approval time
UsageTests, workpapers, findings, or reports using the item

This evidence passport is the foundation of audit evidence automation.

Configured Checks

Automated Control Testing With Transparent Logic

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.

  • Missing approvals
  • Authority-threshold exceptions
  • Late reconciliations
  • Sensitive master-data changes
  • Duplicate or unusual records
  • Missing supporting documents
  • Segregation-of-duties conflicts
  • Late control completion
Review Outcomes

Three Outcomes, Not One Black-Box Score

Outcome 01

Evidence Or Data Issue

A record is missing, incomplete, stale, duplicated, or incorrectly mapped. Route it to the source owner.

Outcome 02

Valid Explained Exception

Approved context explains the difference. Record the rationale and reviewer decision.

Outcome 03

Potential Control Finding

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.

Repeated Work

Internal Audit Automation Across Recurring Activities

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.

Planning And Request Setup

Create approved work programmes, evidence lists, owners, dates, and review stages.

Evidence And Population Preparation

Bring approved documents and data into consistent formats while preserving original sources.

Testing Support

Run configured rules, comparisons, completeness checks, and analytical procedures. Route uncertain results to people.

Documentation

Draft factual workpaper sections from verified inputs. Keep generated narrative separate from approved conclusions.

Findings And Follow-Up

Assign remediation, collect proof, record management responses, and track review status.

Analytics To Action

Internal Audit Analytics That Lead To Action

Internal audit analytics can compare exceptions by process, entity, account, control, and period. Each signal should lead to evidence and follow-up work.

  • Repeated overrides
  • Late approvals
  • Control changes over time
  • Exception concentration
  • Remediation ageing
  • Issue recurrence
  • Source-record drill-down
  • Investigation tasks
Attention View

A Useful Internal Audit Dashboard

An internal audit dashboard should show the next item needing attention, not only engagement status.

Evidence due or overdue
Controls awaiting review
Incomplete populations
Exceptions by status
Findings awaiting response
Remediation by age
Recurring issues
Freshness warnings

Status labels accompany colour cues. Every measure links to underlying evidence.

Monitoring Boundary

Continuous Monitoring Without Overclaiming Continuous Auditing

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 Is Different

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.

Existing Systems

Financial Audit Automation Around Existing Systems

Mimasa complements specialist financial audit software, audit automation software, and AI audit software. It does not replace every authoritative platform.

Existing CapabilityIts RoleMimasa AI Role
ERP, Subledgers, And Finance SystemsMaintain transactions, balances, approvals, and recordsPrepare authorised populations and run configured analysis
Document RepositoriesStore policies, evidence, reports, and workpapersClassify, extract, search, and connect approved content
Audit Management SoftwareMaintain plans, engagements, risks, controls, and official recordsAdd intelligence, evidence, and workflow automation
GRC Or Control PlatformMaintain control frameworks and compliance recordsUse approved control context for checks and follow-up
Reconciliation SystemProduce matching results and finance exceptionsGather evidence, explain exceptions, and coordinate review
AI Assistance

AI Audit Tools With People In Control

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 Prepares Content

Generative AI in audit can summarise approved material, draft requests, prepare factual narratives, and organise responses.

Agentic AI Coordinates Steps

An agentic AI audit workflow can request evidence, check completeness, run an approved test, create an exception, and ask for review.

Closed Loop

From Exception To Verified Remediation

Support control exception management, control deficiency tracking, audit findings management, and audit remediation tracking without merging them into one automated decision.

  1. 01

    Record The Issue

    Keep the control, test, evidence, owner, response, and review status connected.

  2. 02

    Assign Ownership

    Keep the control, test, evidence, owner, response, and review status connected.

  3. 03

    Capture The Response

    Keep the control, test, evidence, owner, response, and review status connected.

  4. 04

    Track Implementation

    Keep the control, test, evidence, owner, response, and review status connected.

  5. 05

    Collect Proof

    Keep the control, test, evidence, owner, response, and review status connected.

  6. 06

    Retest Where Required

    Keep the control, test, evidence, owner, response, and review status connected.

  7. 07

    Approve Closure

    An authorised audit or control owner decides whether the item can close.

Governance Rail

Govern Audit And Control Data

Role-based access control
Authorised source and dataset boundaries
Evidence lineage and version context
Transparent test definitions
Agent tool and action limits
Human approval checkpoints
Workflow and decision audit trails
Governed datasets and reusable snapshots
Cloud, private-cloud, or on-premises deployment patterns

Mimasa does not certify that a control framework or audit approach is sufficient.

Controlled Rollout

Start With One Evidence-Heavy Control

  1. 01

    Select One Control

    Choose a repeatable control with clear evidence and ownership.

  2. 02

    Define The Population

    State the source, period, entities, expected count, and completeness checks.

  3. 03

    Document The Logic

    Record the approved rule, exclusions, thresholds, and review criteria.

  4. 04

    Set Human Checkpoints

    Name who reviews evidence, exceptions, findings, and closure.

  5. 05

    Test Difficult Cases

    Include missing evidence, changed fields, duplicates, access limits, and conflicting records.

  6. 06

    Run In Parallel

    Compare the workflow with the existing process before relying on it.

  7. 07

    Review Performance

    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.

Frequently Asked Questions

Clear answers about evidence automation, configured control testing, internal audit workflows, monitoring, and professional responsibility.

Get Started

Turn Evidence Requests Into A Controlled Review Workflow

Connect approved records, configured checks, exceptions, findings, and remediation without removing professional oversight.