AI Channel Programs Shift Forecasting Risk to MSPs as Vendor Sales Fall Short

Dave Sobel (0:02)

30% of technology leaders say somebody is pressuring them to overstate how well their AI projects are going. 27% say they're seeing a real return. Five companies spent this month building programs to sell into the gap between those two numbers. This is The Business of Tech. I'm Dave Sobel.

Five companies spent the last few weeks building the same thing, and the customer for it isn't your client, it's you. Start with CyberFox, which signed a North American distribution agreement with Ingram Micro, putting its privileged access management, its password manager, and its AI-powered DNS filtering onto Ingram's X-fantasy platform, in front of every value-added reseller Ingram serves across the continent. That is a company announcing its own deal, so read the enthusiasm accordingly. Then, Inteser launched something called the Amplify Hub, a partner portal with training, deal registration, sales incentives, certification, and a hands-on demo lab built on top of the partner program it started back in May. Inteser says its AI security operations platform triages 100% of alerts and escalates fewer than 2% for a human tube review. That is Inteser's number about Inteser's product. Sophos announced a partnership with OpenAI to embed frontier models directly into its Fusion platform and named the scale it's aiming at, more than 25,000 partners, more than 7,000 of them MSPs. Again, the vendor's on release. Flamingo raised $4.5 million, led by Vertex Ventures, bringing it to 6.7 million total to build a platform called OpenFrame. Open-source tooling plus AI agents consolidating 19 categories of software with initial modules already shipping across remote monitoring, patching, remote access and ticketing. CEO Michael Asrath says that rather than bolting another AI assistant onto an existing stack, they're rebuilding the infrastructure layer and putting the agents directly into it so the agents can actually close tickets. That one is trade reporting, not a press release. And then one that isn't an offer at all. Charles IT acquired Descent, an AI-native-managed services provider and is keeping it running as an independent subsidiary under founder Stephen Schrag. An MSP went out and bought the capability instead of being sold it. Five moves. Four of them are companies announcing programs built to put AI capabilities into your hands. One is an MSP that didn't wait to be offered. Five companies do not build the same thing in the same month by coincidence. Something moved underneath them.

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The reason all that is being built right now is that the money it was supposed to capture never arrived where the vendors expected it. Gartner surveyed more than 1,300 liters at companies above $50 million of revenue and found fewer than one in four has successfully scaled an AI project across multiple business units. Not piloted, scaled. At the same time, 85% of those tech leaders say they planned to increase AI investment next year, and roughly 11% could not say what they spent on AI last year at all. Infosys separately found two-thirds of organizations struggled to measure the return AI generates. Read that the way a vendor reads it. The budget is real and it is growing. The deployment is not landing. And what sits between the two isn't the model. It's process redesign inside the customer's own operation, which is work no software company can perform from the outside. Now set the vendor's own cost structure next to that. Gartner's research on AI pricing finds vendors moving off flat rate subscription and on to consumption billing. More than 35% of net new corporate legal technology spend usage based on 2028 Analyst Shannon Nakamoto makes the sharp point. The fee ties to compute consumed. So the customer who gets the most out of the tool gets the biggest bill. And Bain's analysis puts a number on the direction. A typical $10 billion consumer packaged good company will see its annual IT costs rise 75% by 2035

Bring that down to a size you recognize. A client running a $200,000 annual IT budget is being told to plan for 350,000. So the vendor is buying metered and selling metered to a customer whose adoption it cannot control and whose return it cannot prove. A company in that position cannot forecast revenue per customer. What it can do is find someone who will carry the deployment work, commit to volume, and absorb the variance. That is what a channel program is for. What's being extended to MSPs this month isn't capability, it's the forecasting risk on a demand number the vendors could not convert themselves. And that risk only transfers if enough people take it. Every one of these programs is sized in the assumption that a certain number of MSPs will sign, which means the aggregate answer decides whether they work at all. It also means each MSP gets asked alone, one at a time, which is the condition under which the answer comes back yes, which raises the only question worth answering before anybody signs anything.