Most AI initiatives fail not because of technology, but because of unclear goals, wrong use cases, or poor organizational fit. We help leadership teams cut through the noise - identify where AI actually creates value, what it costs, and how to get there without derailing existing operations.
We're an AI-native software house. Building with AI every day shapes every recommendation we make. We know what works in production, what stalls, and where the interesting problems actually are.
Only 11% of organizations have scaled AI beyond pilot (McKinsey). The technology is widely available. The gap is in knowing which problems are worth solving with AI and which aren't. That's where most projects stall.
Good advisory starts from your situation, not from a product catalog. We assess your operations, data maturity, and team capabilities before recommending anything. Sometimes the answer is "not yet" or "not AI." Being explicit about that saves months and budgets.
xcactus combines software engineering experience with AI expertise. Our recommendations cover both sides: where value is created for the business and what is actually feasible to build. What we propose is what we'd ship ourselves.