AI ROI Calculator
Before committing to an AI project, you need to know if the numbers make sense. Not in general — for your specific business, with your specific costs, processes, and volumes. Forward’s AI ROI methodology helps you build an honest business case: what the investment will cost, what it will save or generate, and over what timeframe you can expect to see the return.
Why ROI Calculations for AI Are Often Wrong
Generic AI ROI models tend to be optimistic. They underestimate implementation costs, overestimate adoption speed, and ignore the change management required to make AI actually work. The result is projects that looked great on paper and disappointed in practice.
Our methodology is built on actual implementation experience. We know where costs are typically hidden (integration, testing, training, ongoing maintenance) and where benefits are typically overstated (speed of adoption, percentage of tasks automated).
What the ROI Analysis Covers
Cost side: Implementation and development, integration with existing systems, licensing and infrastructure (ongoing), training and change management, and maintenance and improvement (ongoing).
Benefit side: Time savings (hours per week × cost per hour × 52), error reduction and rework elimination, revenue impact (faster response, better conversion, higher retention), and scalability (handling more volume without proportional headcount).
Timeline: When costs are incurred, when benefits begin to materialize, the break-even point, and 3-year NPV.
How We Work With You
We don’t hand you a spreadsheet. We work through the numbers together, using data from your business where available and conservative estimates where not. The goal is a business case you can defend to your board or investors — not one that looks good until someone asks a hard question.