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AI ROI Calculator

See the return before you commit.

Estimate the annual hours and cost an AI-augmented Mendix app could give back — and how fast a fixed-fee 21-day proof of concept pays for itself. Move the sliders; the numbers update live.

Your inputs

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estimated annual savings
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hours returned / year
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payback period
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3-year ROI
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FTE-equivalent freed
Directional estimate based on your inputs and typical AI-augmentation rates on Mendix. Real figures come from a 5-day discovery and a fixed-fee 21-day PoC tied to your ROI hypothesis.
Validate this in a 21-day PoC
How it adds up

What drives the number.

Inputs

Your operation

People, the manual hours they spend, and the loaded cost of that time — the baseline AI works against.

AI leverage

Automatable share

The slice of that work AI agents, document AI and copilots can take on — governed and human-in-the-loop.

Delivery

Fixed-fee PoC

A 21-day production proof of concept on Mendix turns the estimate into measured, in-production value.

Turn the estimate into evidence.

Bring your numbers to a 30-minute call. We'll pressure-test the use case and scope a fixed-fee 21-day PoC.

FAQ

Questions, answered.

How accurate is the AI ROI calculator?

It gives a directional estimate from your inputs and typical AI-augmentation rates on Mendix. Exact figures come from a 5-day discovery and a fixed-fee 21-day proof of concept tied to your ROI hypothesis.

What inputs does it use?

People doing the work, manual hours per person per week, loaded hourly cost, the automatable share, your industry and the programme scope.

What is a 21-day PoC?

A fixed-fee, production-grade proof of concept built on Mendix in 21 days — a working application with real data and users, not a slideware demo.

Does this require Mendix?

We deliver on the Mendix low-code platform as a Mendix Platinum Partner, backed by Siemens Xcelerator, so the estimate reflects that delivery model.

What is agentic AI?

AI systems where autonomous agents plan and take multi-step actions across tools and workflows — beyond a single chatbot reply.

What is retrieval-augmented generation (RAG)?

A technique that grounds an LLM in your own data at query time, improving accuracy and reducing hallucinations.

How is generative AI different from traditional AI?

Traditional AI predicts or classifies; generative AI creates content and powers copilots and agents.

How much does an AI proof of concept cost?

We deliver a fixed-fee, fixed-scope 21-day production PoC; the exact figure is set after a 5-day discovery.

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