Your gut says this AI project will deliver value. But when the CFO asks for numbers, you're stuck with estimates that feel made up. And they can tell.
Your ROI projections get challenged in every meeting
You use round numbers that undermine credibility
Stakeholders ask for your data sources and you hesitate
Past projects didn't track outcomes, so you can't reference them
Finance teams dismiss your estimates as 'consultant math'
Projects stall because no one believes the numbers
ROI calculations fail for one reason: they're built on assumptions instead of evidence. When you estimate that automation will save 20 hours per week, the obvious question is: based on what?
The benchmark gap: Most consultants lack access to reliable benchmark data. They estimate based on experience, but experience is anecdotal. Different industries, company sizes, and process complexities yield different results.
The measurement problem: Even when current state is measured, it's rarely measured systematically. Time studies are inconsistent. Cost allocations are approximate. Baseline data quality undermines projected outcomes.
The credibility spiral: When one projection gets challenged, confidence in all projections drops. Stakeholders become sceptical of the entire discovery, not just the contested numbers. Projects die from a thousand cuts of doubt.
Present ROI backed by industry benchmarks
Show your calculation methodology transparently
Compare client data to validated reference points
Build CFO-ready business cases that survive scrutiny
Track outcomes to improve future projections
Win project approval on first presentation
Auditic's ROI calculator isn't a spreadsheet with formulas—it's a system built on validated benchmark data. When you project savings, you're comparing against real-world outcomes from similar implementations.
Benchmark-driven projections: Industry-specific data for time savings, error reduction, and throughput improvements. Your estimates reference sources, not assumptions.
Transparent methodology: Every calculation shows its logic. Stakeholders can see inputs, assumptions, and reference data. Challenges become discussions, not dismissals.
Sensitivity analysis: Show best-case, expected, and conservative scenarios. Demonstrate awareness of uncertainty. Build confidence through intellectual honesty.
See how Auditic solves this in minutes, not months.