Opportunities
AI Audit Trails for Shared Services
Connected through 11 “incumbent in” links.
Opportunities
Opportunities
Connected through 11 “incumbent in” links.
Sized prize
IllustrativeIllustrative targets and order-of-magnitude estimates — not an achieved track record. This Thing is concept-stage; real figures come from live data once operating.
SAM
~$750M-1.5B US and EU enterprises in highly regulated sectors like finance and healthcare
SOM
~$10M-30M
TAM
~50,000 global large enterprises with shared service centers × ~$50k-100k/yr software spend ≈ ~$2.5B-5B
Growth Rate
~25-35%/yr, driven by incoming AI governance regulations and the rapid enterprise shift to autonomous agentic workflows in IT and HR
Paid Comparable Spend
~$80k-150k/yr per enterprise currently allocated to manual ticket QA sampling, compliance analyst labor, and external IT audit fees
Market sizing
How you know
Kill Thresholds
Leading Metrics
What Proves Right
Compliance analysts actively query the audit trail daily to validate autonomous IT and HR agent decisions instead of relying on manual spreadsheet sampling. Early adopters commit to $80,000 annual contracts and expand seat counts to their external auditors within the first renewal cycle. Month-two retention for the core compliance user exceeds 80 percent as the system becomes the default system of record for AI governance.
What Proves Wrong
Target users revert to native Splunk logs or manual Big Four audits because the generated AI trail lacks the specific context required by regulators. Compliance teams reject the system due to an inability to map agent actions back to established internal policy frameworks. The integration burden proves too high, requiring more than two weeks of data engineering time to connect a single shared service agent.
Win conditions