We started Guidanti because eager teams kept getting stuck in the same place.
Companies gave their people access to AI and told them to experiment. It worked, to a point. Now they have dozens of experiments, a handful of power users, plenty of people not using it at all, and no shared way of working. The gap isn’t ambition or tools. It’s the foundation that turns scattered use into real adoption.
We’re a small, senior team of engineers and practitioners. We embed with your people to build that foundation with them, not around them. We believe the teams doing the work should stay in the driving seat of how AI gets used, and everything we do is designed to keep it that way.
Real transformation happens when the organization and the people whose work changes optimize it together. When AI is framed as a way to replace people, they stop sharing what they know — and that’s exactly the knowledge adoption depends on. So we start by giving the team genuine input into how AI is used, then design solutions around their needs.
The team
A small, senior group who do the work alongside you.
Software architect with 20+ years of experience in software engineering, developer experience, and modernization. Has led work reaching more than 100,000 developers and supported organizations including Resideo, HP, Ericsson, and Apple. Brings deep technical and organizational judgment to how companies adopt AI.
Senior AI and platform engineer with 5+ years of experience building AI-enabled software and platform systems, including leading an engineering team at U.S. Bank. Works hands-on with client teams to turn agreed standards, architecture, and delivery practices into working software.
Product and transformation strategist with 14+ years in ecommerce, customer experience, marketing, and analytics. Has led digital products, experiences, and teams at Walmart, ACHS, and Cencosud. Brings a customer-led approach to AI and technology, focused on business value and the people experiencing change.
Research scientist with 10+ years of experience in quantitative methods, including developer experience and productivity analysis for Ericsson. Brings a rigorous, data-driven approach to AI adoption, helping organizations base decisions and recommendations on evidence rather than hype.
Developer-experience and platform work at 100,000+ developer scale.
DX consulting on security policy management and remediation.
Two large AI rollouts using the same techniques we bring to your foundation.