Audit Automation
Audit automation means removing manual steps from the audit workflow: document collection, sampling, workpaper preparation, and exception identification. The parts that require judgment, materiality decisions, and client communication stay with the auditor. AI makes auditors faster, not obsolete.
The problem
Where Audits Lose Time
The bottleneck isn't the audit itself. It's the prep work that delays everything else.
Document collection delays every audit
Chasing clients for bank statements, contracts, and invoices. Tracking what's received, what's missing, sending follow-ups. This step alone can add weeks to an engagement.
Workpaper prep is manual copy-paste
Pulling data from trial balances, formatting into workpaper templates, cross-referencing against prior year. Repetitive work that eats senior staff time every engagement.
What changes
Automate the Prep, Keep the Judgment
Map the audit workflow end to end. Automate the handoffs, the data pulls, the formatting. Give auditors more time for the work that requires experience.
Automated document collection and tracking
An agent tracks which documents are received and which are missing. Sends follow-up requests to clients automatically. Escalates when deadlines approach. Your team stops being document chasers.
AI-powered sampling and selection
AI selects samples based on risk criteria, population size, and audit methodology. Every selection is documented with the rationale. Consistent, auditable, and faster than manual selection.
Workpaper preparation
AI formats data into workpaper templates, cross-references against prior year, and flags variances that exceed thresholds. Your team reviews completed workpapers instead of building them from scratch.
How we'll work
One workflow. Four weeks. Measurable results.
Each sprint tackles one high-impact workflow from assessment to production. Then we move on to the next problem.
Find the highest-impact opportunity
I sit with your executives and map the current state of your operations. Every workflow gets scored for automation potential and ROI. We pick the one that moves the needle most.
Design and build
We figure out what the automation looks like. Sometimes it's a Claude Cowork plugin. Sometimes it's custom software. I build it on your existing tools. No new platforms to buy.
Go live and measure
The system goes into production. I set up tracking for hours saved, throughput, and error rates. Real numbers, not projections.
Train your team
Your people learn to use the new workflow. Documentation, walkthroughs, hands-on sessions. Adoption is where most AI projects die, so this part gets the same attention as the build.
Know which workflow to fix first?
Book a 30-minute call. We'll map your operations and find the highest-ROI automation.
Example
What This Looks Like in Practice
A 20-person audit practice automated their document collection and workpaper prep workflows across 30 annual engagements.
3 weeks → 4 days
Document collection time
Automated tracking and follow-ups cut document collection from 3 weeks of back-and-forth to 4 days.
100%
Sample documentation
Every sample selection is documented with criteria and rationale. No more reconstructing why a sample was chosen.
6 hrs → 45 min
Workpaper prep per engagement
From 6 hours of manual formatting to 45 minutes of review per engagement section.
FAQ
Common questions about this use case.