Every AI vendor claims transformative ROI. Few show their arithmetic. This post shares the formula we use to forecast automation returns before a project starts — and the failure patterns reported across the industry that the formula helps you avoid, because that's where the useful lessons live.
ROI here means measured value (labor hours at fully-loaded cost, recovered revenue, avoided hires) divided by total cost (implementation plus subscription). Published industry studies put typical first-year returns anywhere from break-even to several multiples — a spread wide enough that the interesting question is never the average, but which side of it your project lands on.
What separates the winners
High-ROI deployments consistently share three traits. First, they automate high-frequency work: an agent handling 3,000 monthly conversations amortizes its cost far better than one handling 100. Second, they start from a clean baseline — teams that know their current handle times and conversion rates can target the right process and prove the delta. Third, they give the agent real system access; agents restricted to answering without acting deliver a fraction of the value.
The failure patterns are instructive too. Weak returns almost always trace to one of two causes: automating a low-volume process that didn't cost much to begin with, or an organization that never routed real volume to the agent — the AI equivalent of hiring someone and giving them nothing to do.
How to forecast your own number
The estimate that holds up in practice is simple: (hours currently spent on the process per month) × (fully-loaded hourly cost) × (realistic automation rate, usually 60–75%) plus any revenue effect (recovered calls, faster lead response), divided by total first-year cost. Run it honestly and it will tell you both whether to automate and what to automate first.
Our ROI calculator implements exactly this arithmetic, and a scoping call pressure-tests your inputs before we commit to anything. Skepticism about vendor ROI math is healthy — insist on the formula, not the testimonial.