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SAVE $AUDIT EFFORT

Spend audit hours on judgement, not ticking.

Internal audit teams spend most of their time gathering data, testing samples and writing reports. The Audit Suite does that work across 100% of transactions, from risk assessment to the management report, so your auditors spend their hours where judgement counts.

MONEY LINEAudit hours returned, coverage raised to 100% and repeat findings cut.
01The problem

Audit capacity goes on mechanics

01

Most hours go on mechanics

In a typical team, more than half of audit time goes on manual work. We aim to move that from 45/55 to 85/15 strategic to manual.

02

Samples leave doubt

A clean sample says little about the rest of the population.

03

Reports take weeks

By the time findings reach management, the facts have moved on.

The data is already in your systems. The work is getting it into one place you control.

02From samples to signals

What changes when audit tests the whole population

Sample-based auditSmart technology on the full population
Coverage25 to 60 items per control100% of transactions and entities
TimingOnce a year, after the factContinuous, or every audit cycle
Unit of analysisThe documentThe pattern across documents and parties
CollusionInvisible: each step looks approvedVisible: links between people, vendors and accounts
Data in scopeERP postings in the sampleERP plus logs, documents and plant data
EvidenceScreenshots and copiesRows traced to source, with reasons
The auditor’s roleCollects and ticksReviews, judges and fixes the control
03Seven applications. One flow.

Seven applications. One flow. Risk to resolution, without leaving the platform.

  • PLAN · ARM: maps the full control environment and ranks it by readiness score. Not a list. A launch pad.
  • PLAN · Sentinel AI: runs every transaction through the same control logic, every time. Not coverage. Certainty.
  • ASSURE · CompliBear: ranks anomalies by business impact, so teams focus on what costs them. Not noise. Signal.
  • ASSURE · OATS: an auditable, time-stamped disposition trail for every finding. Not tracking. Accountability.
  • ASSURE · AuditVault Pro: links every piece of evidence to the control it proves. Not storage. Substance.
  • ACT · Root Cause Analyzer: traces why it happened and what it cost. Not hindsight. Insight.
  • ACT · Report Studio: a decision-ready management view from the live audit record. Not a report. A resolution.
04Across the audit lifecycle

Smart technology changes every stage of the audit, not just testing

StageTodayWith smart technology
PlanRisk assessment by interview and last year’s planThe audit universe risk-scored from data every quarter; hours sent where the data points
Execute25 to 60 samples per control100% of transactions and logs tested; process mining shows the real flow; LLMs read contracts and claims
ReportObservations drafted by hand, weeks laterFindings drafted with evidence links and valued; the auditor edits, approves and signs
MonitorFollow-up by email and spreadsheetTests keep running after the audit; closure proven by data, not by memo

Aligned with the IIA Global Internal Audit Standards (effective January 2025). Smart technology does the gathering and the checking; auditors keep the judgement, the conclusions and the signature.

05How it works

  1. 01
    Plan

    ARM and Sentinel AI build a risk-ranked plan

  2. 02
    Assure

    CompliBear, OATS and AuditVault Pro test, decide and evidence

  3. 03
    Act

    Root Cause Analyzer and Report Studio explain and report

06The observation, drafted

An audit observation, drafted for you

AI-DRAFTED OBSERVATION · FOR AUDITOR REVIEWRISK HIGH

Purchase orders split to stay below approval limits

Criteria
The purchase manual says requirements must not be split to avoid the approval of the competent authority.
Condition
14 instances across 3 vendors: the same material, within 30 days, together above the approval limit.
Cause
No system check on cumulative value by vendor and material.
Effect
Approval bypassed, with a risk of favouritism and higher prices.
Recommendation
Add a cumulative-value check in the ERP and review the 14 cases.
Evidence
14 linked purchase orders · 3 vendor records · approval logs
Nothing is issued automatically. The auditor edits, approves or rejects every draft.

An illustrative example.

07Red flag to closure

From red flag to closure

  1. 01
    Detect

    A test or a model flags it, with the reason.

  2. 02
    Triage

    Auditors confirm or dismiss it; the score explains why.

  3. 03
    Respond

    The owner acts before the payment run.

  4. 04
    Observe

    The observation is drafted with its evidence.

  5. 05
    Close

    The root cause is fixed and the closure tracked.

Every decision trains the models, so there are fewer false positives each cycle.

08The outcome

Give audit hours back to judgement

Typical audit team today
Our target with CompliBear
StrategicManual

A target time mix; actual results depend on scope and starting point.

100% coverage
Full populations replace samples.
Valued findings
Each exception carries a value and a root cause.
Evidence as you go
No year-end scramble for workpapers.

09Proof

PROOF

The internal audit team at a listed retailer cut fieldwork hours by 38%, tests 100% of transactions instead of a 5% sample, and closes each cycle 3 weeks sooner.

10The offer

See a full audit cycle in three minutes

Follow one audit on a fictional company, from risk assessment to the management report, seen by the auditor, the CFO and the auditee. When you’re ready, try it on your own data in a two-week LaunchPad.

No login. No sales call. A fictional company, the real product.

11FAQ

Do we have to replace our audit management software?

No. The Audit Suite can run alongside it, or replace the parts you choose. Evidence and reports export in standard formats.

Will our auditors need to write code?

No. Insights are ready-made. Auditors review, decide and document. Chat with Data answers plain-English questions.

Does it work for firms serving many clients?

Yes. See For audit & advisory firms.

Will the AI issue findings on its own?

No. AI recommends; auditors approve every rule and every observation, and each decision is logged.

What would your team do with the hours back?

Take the tour, then try it on your data in a two-week LaunchPad.