Skan AI just raised a $63 million Series C, led by Cathay Innovation and Dell Technologies Capital, with Citi Ventures, Bloomberg Beta, State Farm Ventures, and Wipro Ventures. I joined last month to build the partner motion. The round is a useful marker for why.
The investors are not betting on a better model. They are betting that context is the moat.
The GSIs I have partnered with for 17 years, from building the Wipro-IBM alliance to writing the Alliance Strategy on a Page, are facing a reckoning. Their business was built on headcount. AI is rewriting it. The firms that lead the next decade will sell outcomes, not hours.
Services firms have talked about outcome-based pricing and gain-share for years. Very few have delivered on it, for one reason. You cannot commit to an outcome you cannot see, price, or prove.
That is where Skan AI sits. Most enterprises don't have an AI problem. They have an execution problem. You can't automate what you don't understand, and most AI programs never learn how the work actually gets done. Documented processes tend to cover about two-thirds of real cases, not the 95% everyone assumes. That gap is why only 8% of enterprise agents reach production.
Skan AI closes it with a Context Graph of Work: a living record of how work actually happens, observed at scale, everyone, all the time. Blueprint shows where AI matters across the enterprise and quantifies the savings in real dollars, so an outcome can be priced and committed to, not just pitched. Intelligence captures how the work is actually done and what to automate. Agents, grounded in that same context and governed for regulated environments, deliver the result. The proof is on the board: more than $500 million in measured uplift, across a quarter of the Fortune 50 and most of the largest US banks. Blueprint and Agents are now generally available.
For a GSI, that cuts both ways. Skan AI is a platform to carry into client transformations, and a mirror to turn on their own delivery. The firms that win will do both. Wipro has a name for this: becoming customer zero. Run the platform on yourself first, see how your own work actually happens, rebuild around intelligence instead of headcount, then take the proof to market. A partner that has become customer zero is far more credible in every client conversation that follows. Transformation you have lived is easier to sell than transformation you have only scoped.
Several of the partners I am talking to are already moving in this direction. The next few years will separate the GSIs that rebuild from the ones that drag their feet. That's the motion I am here to build at Skan AI, and to help my partners build for themselves.
One executive sponsor. One proof account. Then scale.
If you lead a GSI, practice or account, and the move from headcount to outcomes is important, I want to hear how you are approaching it. Same if you are weighing what becoming customer zero looks like for your firm. Reach me at erik.britt-webb@skan.ai or on LinkedIn.