What assumptions does this tool use?

Hourly staff costs are calibrated across 12 sectors using TÜİK Earnings Structure Survey (2024) reflected with 2025-2026 inflation. Automation rates are derived from McKinsey and Deloitte reports + field cases. Implementation costs use Gartner CIO Agenda 2025 + IDC AI Spending Guide 2025. All values can vary ±30%.

Why is the ROI horizon 3 years?

1 year is too short (ramp-up not complete, gains not visible), 5 years is too long (model + business environment changes significantly, projection reliability drops). 3 years is the industry standard for enterprise AI investment decisions (McKinsey, Gartner, BCG).

What do NPV and IRR mean?

NPV (Net Present Value): discounts future cash flows to today's value to compute total net value. Positive NPV = investment is worthwhile. IRR (Internal Rate of Return): the discount rate at which NPV = 0 — the annual effective return on investment. If IRR > your company's cost of capital, the investment is approved.

How is the sector risk factor computed?

Three dimensions: (1) regulatory burden (BDDK, KVKK, EU AI Act, sector regulation), (2) data sensitivity (PII, trade secret, patient data), (3) organizational change resistance. Together these map to a 0.65 (highest risk) - 0.95 (lowest risk) factor that directly affects gross gains.

How does maturity level affect the result?

A realization multiplier is applied: Exploring (0.55), Piloting (0.7), Scaling (0.85), Leading (0.95). This predicts how much of theoretical AI gain you can actually realize. At low maturity, data quality, MLOps gaps and change management issues erase ~45% of expected gains.

How can I save / share my results?

All inputs are saved to your browser's localStorage; you can resume where you left off. Download a 5-page branded PDF to share with stakeholders. If you provide an email, you can receive updates. Personal data is not sent to the server (KVKK/GDPR compliant).

How do I get a detailed analysis tailored to my company?

Use the "Request Detailed Analysis" button on the results screen to share your company info. The calculation snapshot reaches our team and we respond within 1 business day. Detailed analysis includes sector benchmarks, vendor comparison and a company-specific implementation roadmap.

Is the calculated ROI realistic?

The tool is calibrated with median values from enterprise AI implementations; outlier success stories (e.g., 1000%+ ROI) are excluded. The risk factor + maturity multiplier keep expectations in a realistic band. Still, the actual result depends on your execution quality — this is a scenario simulator, not a guarantee.

AI Interactive Tools

AI ROI Calculator

Computes 3-year ROI, payback period, NPV and IRR of your AI investment; provides sector benchmark + 3 priority use-case recommendations.

Definition

AI ROI (Return on Investment): The ratio of an AI project's operational gains (time, cost, capacity) to its total investment cost; ROI %, NPV (Net Present Value), IRR (Internal Rate of Return) and payback period are used together for financial decision-making.; Also known as: AI return on investment, AI ROI, AI business case, AI payback

Key Takeaways

Even a single process typically recovers implementation cost within months — but actual gains are 55-95% of expected, depending on AI maturity.
Sector risk factors (BDDK compliance, KVKK, EU AI Act high-risk class) can reduce ROI by 15-35%; this is factored in.
For a mid-sized organization in Turkey, typical AI investment CapEx is $75K-350K and OpEx $140K-650K/year.
Three critical conditions for net positive ROI: right use-case selection, data quality, change management — without these, calculated ROI does not materialize.

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Frequently Asked Questions

Hourly staff costs are calibrated across 12 sectors using TÜİK Earnings Structure Survey (2024) reflected with 2025-2026 inflation. Automation rates are derived from McKinsey and Deloitte reports + field cases. Implementation costs use Gartner CIO Agenda 2025 + IDC AI Spending Guide 2025. All values can vary ±30%.

References

McKinsey — The state of AI in 2024, McKinsey & Company
McKinsey — The economic potential of generative AI, McKinsey & Company
Gartner — CIO Agenda 2025: AI Investment Benchmarks, Gartner
Deloitte — State of Generative AI in the Enterprise (Wave 4), Deloitte
IDC — Worldwide AI and Generative AI Spending Guide, IDC
TÜİK — Kazanç Yapısı Araştırması (2024), TÜİK
Anthropic — Claude for Enterprise, Anthropic