AI ROI Calculator: Calculate Your AI Implementation Return
Estimate your AI implementation ROI in minutes. Designed for £10-100M revenue businesses with realistic cost and time-savings benchmarks.
How to Calculate AI ROI: 6 Simple Steps
Calculating return on investment for AI automation requires understanding both hard costs (implementation) and soft costs (time saved). Follow these steps to estimate your AI ROI accurately.
Select Your AI Use Case
Choose the primary AI implementation area: sales automation, customer support, technical due diligence, marketing operations, or business intelligence. Each use case has different time-saving potential and implementation costs.
Determine Affected Team Size
Count how many people will use or benefit from the AI system. For mid-market businesses, this typically ranges from 3-15 people per implementation.
Calculate Average Hourly Cost
Divide total compensation (salary + benefits) by annual working hours. UK mid-market average ranges from £35-£55 per hour.
Estimate Weekly Hours Saved
Estimate how many hours per week each person will save. Use conservative estimates based on industry benchmarks: sales automation saves 15-25 hours/week, customer support AI saves 30-40 hours/week.
Calculate Annual Savings
Multiply weekly hours saved by 52 weeks, then multiply by hourly cost. This gives your annual cost savings from AI implementation.
Compare to Implementation Cost
Subtract implementation cost from annual savings to get first-year net ROI. Divide net ROI by implementation cost and multiply by 100 to get ROI percentage.
AI Implementation Costs by Use Case
Conservative mid-market cost estimates based on 50+ Phoenix AI implementations
| Use Case | Typical Hours Saved/Week | Implementation Cost | Typical Timeline |
|---|---|---|---|
Sales Automation & Pipeline Management AI-powered lead scoring, pipeline forecasting, CRM automation | 20 hrs/week | £95K | 60-90 days |
Customer Support AI AI chatbots, ticket routing, knowledge base automation | 35 hrs/week | £85K | 60-90 days |
Technical Due Diligence Automation AI-driven codebase evaluation, security audits, M&A assessment | 60 hrs/week | £65K | 60-90 days |
Marketing Operations AI Content generation, campaign optimization, influencer identification | 15 hrs/week | £75K | 60-90 days |
Business Intelligence & Reporting Automated reporting, data analysis, forecasting | 25 hrs/week | £80K | 60-90 days |
Note: Implementation costs include discovery, design, development, integration, testing, deployment, training, and 30-day support. Does NOT include ongoing AI API fees (typically £1K-£5K/month for mid-market usage).
Calculate Your AI Implementation ROI
Sales Automation & Pipeline Management
AI-powered lead scoring, pipeline forecasting, CRM automation
Customer Support AI
AI chatbots, ticket routing, knowledge base automation
Technical Due Diligence Automation
AI-driven codebase evaluation, security audits, M&A assessment
Marketing Operations AI
Content generation, campaign optimization, influencer identification
Business Intelligence & Reporting
Automated reporting, data analysis, forecasting
Number of people whose work will be impacted (typically 3-15 for mid-market)
Blended hourly rate (salary + benefits ÷ working hours). UK mid-market average: £35-£55/hour
Conservative estimate: 20 hours/week for sales automation & pipeline management
How This AI ROI Calculator Works
What methodology does this calculator use?
This AI ROI calculator uses conservative mid-market benchmarks based on Phoenix AI Solutions' experience with 50+ implementations across £10-100M businesses. All estimates are deliberately conservative to avoid over-promising returns.
How are time savings calculated?
We use documented time-savings from actual deployments across different AI use cases:
- Sales automation: 15-25 hours/week saved on manual CRM entry, lead research, and pipeline updates
- Customer support AI: 30-40 hours/week saved on ticket routing, common inquiries, and knowledge base searches
- Technical due diligence: 50-70 hours/week saved on code review, security audits, and M&A analysis
What's included in implementation costs?
Implementation costs are based on fixed-fee mid-market AI projects (60-90 days, working system, team training, 30-day support). Includes:
- Discovery and requirements gathering
- System design and development
- Integration with existing tools
- Testing and deployment
- Team training and change management
- 30-day post-launch support
Not included: Ongoing AI API subscription fees (typically £1K-£5K/month for mid-market usage), internal staff time, or enterprise customizations beyond standard scope.
Calculator limitations
This is an estimate, not a guarantee. Actual ROI depends on data quality, team adoption, process complexity, and change management effectiveness. Use this as a starting point for conversation, not a final business case.
AI ROI Calculator: Frequently Asked Questions
How accurate is this AI ROI calculator?
This calculator provides directional estimates based on real mid-market AI implementations. Time savings are conservative averages from Phoenix AI Solutions' client deployments. Actual ROI varies by data quality, team adoption, and process complexity. Use these numbers to justify further investigation, not as a final business case.
What costs are included in the implementation estimate?
Implementation costs include discovery, design, development, integration, testing, deployment, team training, and 30-day post-launch support. Does NOT include ongoing AI subscription fees (e.g., OpenAI API costs, which typically run £1K-£5K/month for mid-market usage), internal staff time, or enterprise customizations beyond standard scope.
Why do Big 4 consultancies charge more for the same work?
Big 4 firms charge 2-5x more due to enterprise overhead: multi-tier review processes, extensive change management, and organizational alignment work designed for £500M+ companies. Mid-market businesses don't need (or benefit from) this overhead. Phoenix AI Solutions delivers the same technical implementation without enterprise bloat.
How long does AI implementation take?
Most mid-market AI implementations take 60-90 days from kickoff to launch. This includes discovery (1-2 weeks), design and development (4-8 weeks), testing and deployment (2-3 weeks), and team training (1 week). Timeline varies based on complexity, data availability, and integration requirements.