AI Revenue Audit.

Cross-source audit before the invoice goes out.

7 data sources feed into a pipeline of 4 specialised AI agents that cross-reference timesheets, Slack, calendar, leave records, emails, git commits, and SOW contracts — surfacing revenue leaks, compliance gaps, and billing errors with full evidence trails.

Data SourcesAudit EngineOutput

Timesheets

Slack

SOW Docs

Emails

HR & Leave

Calendar

Git Commits

01ReconcileCross-reference sources

02DetectFind anomalies

03DraftBuild invoice

04InvestigateEvidence chains

Audit Report

Revenue at risk
Compliance findings
Invoice draft
Evidence-backed

HTML · JSON · Actionable

Scope of analysis

Employees

Projects

Assignments

Hours logged

Budget hours

SOWs

Findings

Last analysis

findings

AOff-roster time

BSuspicious activity

CBudget overruns

DSource mismatches

ELeave conflicts

Run Audit Agent→Explore Dataset→

The audit agent runs 5 phases against the loaded dataset (~3 min). Or browse the raw data sources and pre-computed anomalies directly.