AI Built for EBP Audits
Autire automates the manual audit steps so your team can spend that time on judgment instead. Our EBP-specific AI explains what testing found, while the auditor decides what it means.
Generic AI Wasn't Built for Audit
Why most AI tools fall short when the engagement opens
Requires firm-specific prompting and setup before it can do anything useful in an audit
Not built around the 60 to 70 attributes that make up a full EBP engagement
Produces probabilistic output in a context where accuracy is non-negotiable
Sits around the audit workflow rather than inside it
Delegates audit judgment to a system that interprets standards instead of executing them
Exceptions Grouped. Root Causes Surfaced.
When Autire tests the full participant population, Advanced AI Analysis clusters every exception by root cause. Your team reviews by pattern, not record by record. Each grouping carries the source data, so the auditor assesses and resolves with full context. Time shifts from finding exceptions to applying auditor judgment.
The Same Standard, Every Engagement.
Autire runs on hard-coded, standards-based logic grounded in AICPA methodology, independently re-validated every year through a QMM examination.
The same logic run on every engagement, every time, so what gets tested doesn't depend on who's running the audit or how busy the season is, and rerunning a test against the same data reproduces the same result.
50 Hours
Per audit – about half the time before using Autire
Autire's AI analyze tool helps us substantially with full population testing by reducing unnecessary manual investigation. When I use the analyze tool, all the data is right there. I click one button and see the payroll records and the contribution file right in one screen.
IPA Top 250 CPA Firm