DRiX-AI · Engine
v0.9 · Railway

Most AI projects fail.
It's not AI. It's fit.

Everyone wants AI in the workplace. But most projects fail, not because AI doesn't work, but because it's solving the wrong problem for that company. A round peg in a square hole. Drop a company's website here to quickly identify which AI projects are actually a good fit for them: what makes sense, why it matters, and what it could do for their business.

Why fit matters
80%
of AI projects fail to deliver business value
RAND Corporation, 2024
88%
of AI pilots never reach production
MIT Project NANDA, 2025
42%
of companies abandoned AI in 2025 (vs 17% in 2024)
S&P Global, 2025
01 Analyze a company
Paste a URL and we'll identify the good AI fits for them.
Reading the site…
Here's what we think they do

Vertical (edit if we got it wrong)
Anything to add about this customer (optional)
Engine note

Sell the solution.
Add the AI.

Pick a solution you sell and describe the buyer. You get the Process AI basics for that buyer and ten ways AI makes that solution do more: something to add to the deal in front of you, and a reason to call every customer who already bought it.

01 The solution
Loading solutions...
02 The buyer
Pick a solution and the buyer's size.
Working...
Engine note

This customer.
That solution.

Name the account and the solution they are buying or already run. We research both, then show the Process AI basics for that company and ten ways to include AI with that solution for them specifically.

01 The customer
02 The solution
Loading solutions...
Enter a customer URL and pick the solution.
Working...
Engine note

Customer focus

01

Process AI

The everyday processes AI runs · does this buyer need each one?

02

Business Integration

Ten ways to build AI in · ranked by impact

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