For channel partners, this is where agentic AI starts to get a lot more real. If customers are going to let AI agents make changes in production, they’re going to need help deciding what those agents can touch, what still needs human approval and how much oversight makes sense.
A new Caylent survey found that 59.5% of enterprise leaders are already running AI agents autonomously in production, rather than keeping them in pilots or test environments.
Companies still want some boundaries around that. Nearly all respondents said they would allow agents to make production changes if the right controls were in place, while 83% said guardrails matter as much as, or more than, the intelligence of the model. So there is clearly interest in giving agents more responsibility, as long as companies know where the limits are.
That is already starting to show up in day-to-day engineering and security work. About 67.5% of respondents are using or looking at agents for automated testing, 60.5% for incident response and 43% for writing and committing code. Caylent also found that 23.5% have moved beyond smaller pilots and are using agents more broadly across engineering and operations.
For MSPs, cloud partners and security providers, there is a pretty obvious services angle here. Customers may need help with permissions, identity, monitoring, approvals and governance as they give agents more access to production systems. The more autonomy companies hand over to AI, the more important that work around keeping it controlled and visible becomes.
This Week's Tech, Channel, and MSP News
Syncro launches MCP server for MSPs: Syncro launched its own Model Context Protocol server, giving MSPs a way to connect data from the Syncro platform directly with AI assistants including ChatGPT, Claude and Microsoft Copilot. The bigger MSP angle is interoperability. Rather than keeping AI inside a vendor-specific feature, Syncro is opening MSP operational data to outside AI tools that providers may already be using for support, analysis and automation.
Channelscaler launches partner program benchmarking index: Channelscaler introduced the Scaler Index, a benchmarking tool designed to help vendors measure the performance of their partner programs. The company analyzed activity from more than 30,000 partners and found that partner-led deal closure rates nearly tripled over three years, while the value of closed registered deals increased more than eightfold. For channel leaders, the bigger point is measurement: vendors are under more pressure to show what deal registration, training, MDF and other partner investments actually contribute to revenue.
IBM Cloud and Together AI expand AI infrastructure partnership: IBM Cloud and Together AI expanded their work around AI infrastructure, with Nvidia technology supporting the environment. The move is aimed at enterprises running AI models at scale and adds another infrastructure option as companies decide where to deploy inference workloads. For partners, the services opportunity sits around helping customers choose infrastructure, manage costs and connect new AI environments with existing cloud and data systems.
In-Person MSP and Channel Partner Events
Have news to share or just want to connect? Reach us anytime at [email protected].