Engineered systems - not configured products. Explore how we build for your operation.
Explore how we solved a real problem for a real team.

Insights
Ideas, guides, and stories on building AI-engineered operations, data infrastructure, and enterprise platforms.
OutSystems surveyed nearly 1,900 IT leaders: agent sprawl is rising, centralized governance is rare, and the risk profile is worse than SaaS sprawl.
Read article42% of companies abandoned most of their AI projects in 2025. The gap between a brilliant pilot and a failed rollout is almost never what organizations expect.
Read articleIntact’s CIO put it plainly: “We don’t have to rely on a vendor.” The right question isn’t build vs. buy - it’s which problems are specific enough that only building solves them.
Read articleNearly half of health systems adopted AI in procurement - only 18% fully implemented it. The savings gap is a catalog matching problem AI can finally solve at scale.
Read articleStructural vendor dependency renews on the vendor’s terms because the architecture was built around it. The path out is an architecture problem - not a renegotiation.
Read articleOnly 30% of enterprises can detect shadow AI. Employees are not circumventing governance out of malice - they are filling gaps your approved tools cannot close.
Read articleDeloitte found companies allocate 93% of AI budgets to technology and only 7% to the people and processes expected to use it. The model works - what fails is how it connects to your operation.
Read articleMIT researchers studied 300 public AI initiatives and found that 95% of enterprises achieved zero return on their AI investment. Here is what the other 5% do differently.
Read article