Build the business case for AI governance.
Model the hours saved and the coverage you could gain by screening more of your regulated conversations. Adjust the inputs to your estate and download a board-ready summary. Illustrative only — not a guarantee of savings.
Enter your estate
Monthly conversation volume, how much you screen today and your review effort.
See the business case
Hours saved, illustrative cost avoided and the coverage gap you could close.
Take it to your board
Download a branded PDF or have the summary emailed to you.
Your conversation estate
Figures represent the manual-equivalent reviewer effort to screen at your target coverage — the work automated screening can reduce so reviewers focus on flagged interactions.
10,000
Hours saved / month
120,000 hrs a year
£4,200,000
Illustrative cost saved / year
£350,000 a month
Coverage gap closed
1,500/mo
Screened today
+48,500/mo
Additional screened
66.7
Reviewer FTE equivalent
You could close a 97 percentage-point coverage gap — screening 48,500 more conversations a month.
Illustrative business case only — not a guarantee of savings. Figures represent the manual-equivalent reviewer effort to screen at your target coverage, which automated screening can reduce. Actual results depend on interaction volume and complexity, policy design, false-positive rates, reviewer processes and pricing.
Want the full governance picture?
Pair this business case with a readiness assessment, policy sandbox and framework mapping in the free Governance Tools suite.