Seven Ways a Promising AI Project Delivers Weak — or Negative — ROI
This post outlines seven common, avoidable ways that promising AI initiatives erode ROI after delivery. These patterns cut across industries and maturity levels. They are not edge cases, and they rarely involve dramatic system failures.
Dec 1, 2025
Why Precision AI Systems Require Data Science
Traditional software is (in principle) deterministic: the same input yields the same output, modulo bugs. Modern AI models are stochastic approximators of complex functions. Even when you fix temperature and seed, their behavior is best understood statistically, not as a fixed mapping..
Nov 25, 2025
Our Proven Enterprise AI Framework
Inside this blog post, you’ll find the repeatable framework we created to help you transform great ideas into to operational AI with far less risk, ambiguity, or wasted effort.
Nov 15, 2025
Your Roadmap to AI Project Success
Successful AI outcomes emerge from a combination of leadership, resources, talent, and vision — and the glue that holds these together is the roadmap: a structured, predictable, low-risk process that transforms ambiguity into clarity and ideas into production-grade software.
Nov 11, 2025
Your Production AI App Checklist
Before you hire any team, vendor, or consultant, you should be able to answer these foundational questions. This checklist helps you clarify your internal goals, avoid costly missteps, and dramatically increase the chances that your AI project succeeds.
Nov 11, 2025
The Hidden Challenges of Building Real-World AI Applications
AI demos are easy. Production AI is hard. Here are the real technical, product, and operational challenges that teams face when turning AI prototypes into durable, scalable applications.
Nov 6, 2025