Daren Coudriet
Thirty years, four technologies, one job: work out what the new thing changes about how a business creates value — not which process it makes faster. Geographic Information Systems. Pen-based mobile computing. The Internet. Now AI, which in his view is more disruptive than the other three combined.
Find the problem. Make sure solving it delivers value to whoever owns it.
That is the whole formula, and Daren has started companies on it since the early 1990s — when putting a business on the Internet was the risky, unproven idea that AI is treated as now.
Utility eBusiness Solutions was one of them: a B2B trading exchange for electric suppliers and utilities. He raised $2.5 million against the concept, chaired an executive committee of twenty-plus people across four companies, and carried the program budget — including the subcontractor disputes. He co-founded Keystone Management Systems, a venture-backed geographic information systems (GIS) firm in State College, and ran Sagebridge Solutions for twelve years after that. The name here is not new.
The formula has not changed for AI. A technology being genuinely disruptive is not a reason to adopt it. It is a reason to be careful about which problem you point it at, and honest about whether solving that problem is worth anything to the business.
When he was not starting firms, he was inside them, doing this for other people.
Three decades of walking into somebody else’s business and working out where a new technology actually belonged.
Accident reports written at the scene, on a pen-based, mobile computer
Built for the city of Des Moines, Iowa, so officers could capture crash data while it was still accurate rather than reconstructing it hours later at a desk. He took the same pen-based technology into bridge inspection afterwards.
The dot-com boom, from inside a Boston consulting firm
He helped grow it, and worked with The New York Times, The Washington Post and Standard & Poor’s as they established their first presence online — back when whether a newspaper belonged on the web was a live argument.
Twelve years serving the franchise industry
Sagebridge Solutions, 2004 to 2016. Aligning what a client did online with what the business was actually trying to win at — which is the same sentence this practice is built on, one technology later.
It started with a thesis, not a market.
Daren’s first AI project was an expert system, built for his engineering master’s thesis at Penn State: a system to help police officers collect accident data that is critical, and perishable, in the minutes after a crash. Two years later that thesis became the foundation of an NHTSA-funded project.
He co-founded the Nittany AI Challenge at Penn State in 2017 and built it into the Nittany AI Alliance, which he ran as Executive Director of Innovation until March 2026, with IBM, Google and AWS among its partners. Its Advance program put teams onto real problems for industry and nonprofit partners — analyzing SEPTA subway camera footage for passenger safety, quantifying crop damage with computer vision, and working out where the American Red Cross should site its blood drives.
Ten years of watching organizations start AI projects produces one durable observation, and it is not a technical one. The projects that stall are rarely the ones with the harder engineering. They are the ones where nobody decided what the business was trying to win at before the work began.
Ten years of it inside a research university is also why higher education is a line of business rather than an adjacent market — shared governance, a faculty senate that can say no, and a catalog nobody has assessed course by course. What that looks like for a dean or a provost →
He has been the vendor. That is exactly why he is useful when you are choosing one.
Several of those firms sold builds — scoped them, priced them, and defended the price. Daren has written the statement of work from the side that gets paid to expand it. That is why he is useful reading one from your side of the table.
Sagebridge does not staff the build and has nothing to license. What it does is make the handoff clean and then stay in the room for it — reading the scope that comes back the way the people who wrote it read it, pricing the risk they left out, and knowing which questions a build firm hopes nobody asks before signature.
Where an instrument earns its place in the work — a scoring model, an audit of where the hours actually go, a way of reading a portfolio — he brings it and you keep it. It is yours outright when the engagement ends: no licence, no hosting fee, nothing to renew, and it keeps working whether or not you speak to Sagebridge again.
Strategies rarely die in the strategy. A sound roadmap handed to the wrong build partner, on a contract nobody on your side read adversarially, fails the same way a bad roadmap does. Having sat on the other side of that table is the qualification for sitting on this one.
Every relationship he has with a build partner is on the table, in writing, before you hire him. The undisclosed ones are the ones that cost you money.
Ten questions, fifteen minutes.
Run the diagnostic with your leadership team before you decide whether any of this is worth a conversation.