Fast Company published a piece this week on the companies building what they call "the rest of the AI stack": the infrastructure, accountability, and application layers that enterprises depend on but rarely see.
Terzo was featured front and center in the accountability section, alongside some of the most important teams building enterprise AI infrastructure right now.
The piece makes a point that anyone who has tried to deploy AI inside a large organization will recognize: powerful models are table stakes. What determines whether AI creates real business value is the quality of the data feeding it.
For procurement and finance teams, that data problem has a specific shape. According to World Commerce and Contracting, companies lose an average of 9.2% of annual revenue to poor contract management. Not through fraud. Through missed rebates, lapsed pricing schedules, and supplier agreements no one was monitoring. An AI agent working from inaccurate or unstructured contract data does not just make mistakes. It makes them at scale.
That is the problem Terzo is built to solve. Our platform connects contracts, invoices, purchase obligations, and ERP data, validating financial activity against contractual terms in real time.
As Fast Company's Kolawole Samuel Adebayo wrote, Terzo is building the financial truth layer meant to prevent AI agents from operating on bad data. Co-Founder & CEO, Brandon Card, framed the bigger picture in the piece: the companies that win in the next decade will own the financial intelligence layer that allows autonomous agents to move money safely, accurately, and automatically across the global economy.
