Controller
Audit Management
What You Do Today
Coordinate with external auditors — prepare PBC (provided by client) lists, respond to audit inquiries, manage the audit timeline, and resolve audit findings.
AI That Applies
AI-organized audit preparation that auto-generates PBC documents, tracks open requests, and surfaces supporting documentation from accounting systems.
Technologies
How It Works
The system ingests accounting systems as its primary data source. The automation engine executes each step in the process sequence — validating inputs, applying business rules, generating outputs, and routing exceptions to human review queues. The output — supporting documentation from accounting systems — surfaces in the existing workflow where the practitioner can review and act on it.
What Changes
Audit prep becomes systematic. AI pre-assembles common PBC items and supporting documentation, reducing the scramble that typically accompanies audit season.
What Stays
Auditor relationships and negotiation. Discussing accounting positions, resolving disagreements on estimates, and managing the audit process requires professional judgment.
What To Do Next
This section won't tell you what your numbers should be. It will show you how to find them yourself. Every instruction below produces a real, verifiable result in your organization. No benchmarks, no projections — just the steps to build your own evidence.
Establish Your Baseline
Know where you are before you move
Before adopting AI tools for audit management, understand your current state.
Without a baseline, you can't measure whether AI actually improved anything. You'll adopt tools without knowing if they're working.
Define Your Measures
What to track and how to calculate it
Time per cycle
How to calculate
Measure how long audit management takes end-to-end today, then after AI adoption.
Why it matters
The most visible improvement is speed. If AI doesn't save time, question whether it's adding value.
Quality of output
How to calculate
Track error rates, rework frequency, or stakeholder satisfaction scores before and after.
Why it matters
Speed without quality is just faster mistakes. Measure both.
Start These Conversations
Who to talk to and what to ask
your CFO or VP Finance
“What's the biggest bottleneck in audit management today — and would AI address the bottleneck or just speed up something that's already fast enough?”
They're prioritizing which finance processes to automate first
your ERP or finance systems admin
“What would have to be true about our data quality for AI to work reliably in audit management?”
They know what automation capabilities exist in your current stack
Check Your Prerequisites
Confirm readiness before you invest
Check items as you confirm them.