Find out whether any AI tool is worth the money. Enter the subscription cost and quantify the benefits — time saved, errors avoided, output increased — to get a clear ROI verdict and payback period.
Most AI tool purchasing decisions are made without a proper financial analysis. A £20/month tool that saves 2 hours per week for a £40,000/year employee generates £2,080 in annual value — a 760% ROI. A £200/month enterprise tool that actually gets used by only 30% of the team saves far less than projected. This calculator forces honest quantification of both cost and benefit.
Tool vendors quote productivity gains based on power users or ideal usage scenarios. Reality: 30–60% of purchased AI seats are underutilised within 6 months. Employees revert to familiar workflows, training is insufficient, or the tool does not fit the actual work. Apply a 30–50% adoption discount to stated productivity gains for a realistic business case. If a tool claims 5 hours saved per week but realistic adoption is 60%, model 3 hours.
Build your business case on hard, quantifiable benefits only: hours saved × hourly cost, error cost avoided, headcount avoided. Soft benefits (morale, reputation, innovation) are real but cannot be reliably monetised for a business case. Present soft benefits separately as supporting evidence. Decision-makers distrust business cases built primarily on unquantifiable benefits.
Subscription cost is typically 40–70% of total year-one cost. Add: integration and setup (10–30%), training time (5–15% of first-year staff time), prompt engineering and ongoing optimisation (5–10%), change management for adoption. Year two costs drop significantly but remain higher than the subscription alone due to continued optimisation and support.
AI ROI = (Annual Benefit - Annual Cost) / Annual Cost × 100. Annual Benefit = (Hours saved per user per week × 52 weeks × users × adoption rate × hourly cost) + error/rework cost avoided + revenue enabled. Annual Cost = subscription × users × 12 + implementation cost amortised over 2-3 years. Use conservative adoption rates (50-70% of stated benefits) for a realistic estimate.
Payback period = Total implementation cost / Monthly net benefit. A £500 implementation + £100/month tool that saves £400/month net = 500/300 = 1.7 month payback. Most AI productivity tools pay back within 1-6 months if genuinely adopted. Complex automation implementations (6-18 months payback) require larger total savings to justify longer payback.
Evidence-based productivity gains: AI writing assistants save 20-40% of drafting time for knowledge workers. GitHub Copilot increases code output speed by 25-55% for common tasks. AI meeting tools (transcription + summaries) save 30-60 minutes per meeting. Customer service chatbots deflect 35-65% of routine queries. Apply a 30-50% discount to these numbers for realistic business case projections.