Finance Automation and AI: Where to Start, How to Prove ROI
This guide is for CEOs and founders being asked to approve automation and AI projects in finance. It shows what to automate first, what has to be in place before you start, and how to measure the payback so the project is judged on results, not promises.
What's in the guide
- The automation maturity ladder: manual, rules-based, integrated, AI-assisted, and autonomous with oversight
- Where to draw the line between machine and people, with review thresholds by dollar amount, account, counterparty and confidence score
- An automation map across travel and expense, procure-to-pay, order-to-cash, record-to-report, FP&A and hire-to-retire
- A six-step implementation roadmap: assess, fix the foundation, design controls, pilot, scale and monitor
- ROI and payback math, with an illustrative payback of about 4.4 months
- Automation KPIs such as days to close, touchless invoice rate, cost per invoice and auto-applied cash
- A 10-item readiness scorecard, eight reasons implementations fail, and questions to ask every vendor
- A build, buy or partner decision tree and a tool landscape by company size, from under $10M to $500M+ in revenue
Questions this guide answers
What should a finance team automate first?
Start where volume is high and the rules are clear: accounts payable, expenses, bank reconciliations and cash application. The guide recommends picking one or two of these and capturing a baseline before you start.
How do you calculate payback on finance automation?
Payback is the upfront cost divided by the monthly net benefit. In the guide's illustrative example, $70K divided by $15.8K a month gives a payback of about 4.4 months, counting only hours you redeploy or avoid hiring for.
Why do finance automation projects fail?
The guide lists eight reasons, including automating a broken process, dirty master data, pilots with no end date, no baseline, and skipped training. Its summary: a broken process plus automation is the same failure, faster.
How do I know if my company is ready to automate?
Score 10 items from 1 to 5, such as documented processes with an owner, clean master data and a committed executive sponsor. A total of 10 to 24 means fix the foundation first, 25 to 39 means ready to pilot, and 40 to 50 means ready to scale.
How Strativ helps
Mark Sue helped create and taught the Finance & Accounting Technology (FATE) Certificate, and Strativ sets up finance tech stacks for growing companies. Strativ runs the readiness assessment, fixes the data and process foundation, and measures the pilot against a baseline so the payback is proven before you scale.
Request the full guide for the complete one-page reference, or book a call to talk through your situation.
