How to use AI for accounting (without breaking compliance)
The reason most accounting AI pilots quietly die isn't the technology. It's that nobody decided what 'success' looks like before they started. Here's the 4-step framework that fixes that.
Step 1: Pick the workflow, not the tool
Tools change every quarter. Workflows don't. Start with the workflow that eats the most hours of cheap labour in your firm. For most: AP, document chasing, or month-end reconciliations.
Step 2: Lock down compliance before you turn anything on
- Data residency and sub-processors documented.
- Audit trail required, no exceptions.
- Named human accountable for every AI-produced output.
- Client consent updated in your engagement letter if AI processes their data.
Step 3: Pilot for 60 days with one team
One workflow, one team, one named owner. Measure hours saved, error rate, and review time required. Don't roll out firm-wide until those three numbers are stable for three weeks in a row.
Step 4: Roll saved hours into advisory, not redundancy
This is the part that protects your team and your culture. Use recovered capacity to take on advisory work or higher-margin engagements. The firms that get this wrong cut staff; the firms that get it right widen their margin.
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Josh Jefferd is the founder of Install & Scale, an agency that builds AI agents for accounting, tax and bookkeeping firms. Connect on LinkedIn.