ConnectWise Abandons ASIO: AI-Driven Platforms Shift Risk and Governance to MSPs

[00:00:01] ConnectWise spent years building ASIO and is now moving to a new AI-native operating layer that matters beyond one vendor roadmap. It tells MSPs that the platform layer is still searching for the operating model at the same moment clients are already creating AI cost exposure, agent sprawl, and workflow dependency. Waiting for the stack to solve this is a business decision. It means absorbing the risk now and trying to price it later.

[00:00:32] This is the Business of Tech. I'm Dave Sobel Start with ConnectWise. The company announced that it is dismantling ASIO, the platform it spent the past several years building and starting over. The replacement is what ConnectWise is calling an AI-native, code-first operating layer that bundles PSA, RMM, security, and automation into a single unified platform.

[00:00:57] ConnectWise is naming the objective explicitly. The new platform uses agentic AI to autonomously handle tickets and IT service operations, with the company projecting significant efficiency and margin gains for MSPs that adopt it. ConnectWise has a specific term for where this is heading. They are calling it predictive IT, a shift from reactive service delivery to a model where the platform anticipates and addresses issues before they service.

[00:01:26] That announcement arrived alongside a separate and unrelated pattern around AI cost. Axios reported a story, Anthropic declined to confirm the specifics, in which an unnamed enterprise incurred approximately $500 million in charges on Anthropic's Claude in a single month after failing to set any usage limits.

[00:01:48] TechCrunch describes an industry-wide scramble among companies that have deployed AI and are now discovering that usage-based token billing scales in ways that outran their financial models. The Linux Foundation launched a new initiative called the Tokenomics Foundation, specifically aimed at developing standards for tracking and managing AI token costs across the industry.

[00:02:13] Freshworks surveyed more than 12,000 IT professionals and put a number to the broader problem. Mid-market companies are losing roughly 25% of their AI budgets to what the report calls a complexity tax, the friction from moving AI from pilot into actual working production. That translates to approximately $16 billion in annual waste across the U.S. mid-market. In the same survey, 89% of respondents said they planned to increase AI spending,

[00:02:42] while only 15% reported that AI is currently embedded in their day-to-day workflows. If you're listening to this and you haven't hit follow yet, on Apple Podcasts search Business of Tech takes five seconds and you'll get the next episode automatically. One of the hardest problems in managed services isn't technology, it's delivering projects predictably and profitably. Every MSP has lived this moment.

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[00:04:02] The reason the cost problem and the platform problem are arriving at the same time is the same structural condition. AI is entering organizations through the subscription layer, not through IT governance. Arena, a San Francisco startup that tracks AI agent activity in production, found agents handling code generation, research, and document review at real volume,

[00:04:25] and recorded an 8% bluffing rate, meaning agents producing incorrect outputs with full confidence and no failure signals surface to the user. These systems have production workloads. They do not have owners. The adoption path explains why. A part-time tutor pays $20 a month for Notion AI and uses it for transcription, invoicing, and scheduling.

[00:04:50] A bankruptcy attorney profiled by the New York Times has built what he calls a full workforce of AI agents on an open-source platform called OpenClaw, automating operations that previously required staff. Zoom's Zoom Mate enters the enterprise at $20 per user per month, converting post-meeting conversation into automated workflows across enterprise applications. Each of these is a purchasing decision, not an IT decision.

[00:05:17] And each one adds new agent behaviors, new access permissions, and new cost exposure to a client environment without a corresponding governance structure. That is the mechanism. The subscription adoption path, one tool, one user, one workflow at a time, creates operational surface area faster than any organization built its processes to track. When usage-based billing is attached to that surface area, cost scale with agent behavior, not headcount.

[00:05:46] When access permissions are granted at sign-up rather than governed continuously, the access scope expands with the tool catalog. No individual, small business, or internal IT function was built to manage that accumulation. When internal coordination runs out of surface area, something external has to supply it.

[00:06:08] Thrive Holdings just committed $1 billion to acquire local accounting firms and consolidate them under an AI platform called Current. The model is direct. Take a fragmented market of independent practitioners, replace the operational overhead with AI-enabled workflows, and deliver the outcome. Accurate books, faster turnaround.

[00:06:32] Current is reporting 98% data entry accuracy and 31% time savings at the firms already on the platform. The accounting firms being absorbed did not fail. The market moved to a model they were not positioned to run. The structural conditions are identical in IT services. A fragmented base of independent providers. Clients who need outcomes managed rather than tools sold.

[00:06:59] An AI operational layer that is now active across the client base, not experimental at the edge. Outside capital has already spotted that pattern in adjacent markets. Lemmy is building directly for the IT services version of that gap, a platform designed to let MSPs package, sell, and manage AI services as recurring revenue. The co-founder's stated case is not optimistic framing. It's a warning. MSPs who do not own the AI conversation will be displaced by vendors and consultants who do.

[00:07:29] That displacement is not a single event. It's already arriving through capital allocations, new entrants, and client relationships that are quietly being reshaped around AI services the MSP is not yet offering. An MSP that defines what AI can do inside a client environment, instruments the usage, and prices that accountability as a service, selling something neither the vendor nor the roll-up can replicate. The technology is vendor-supplied.

[00:07:56] The governance of how it operates, what it accesses, and what it costs inside a specific client environment is not. That is the defensible position. The MSP that waits inherits the complexity without the contract language, absorbs the cost events without the margin, and explains the incidents to clients who will eventually find a provider that governed the stack from the start.

[00:08:19] That is the choice. Build the governance layer or absorb the complexity without being paid for it. This episode is brought to you by ControlMap. Growing MSPs are using ControlMap to build recurring revenue by expanding their GRC services. Starting now, ControlMap is offering a free plan for MSPs looking to get started with providing compliance as a service. Create a free account and run an assessment.

[00:08:47] Track key items like policies, risks, and evidence in one place. It's a practical way to prove value to a client before deciding to expand your compliance offering. Try ControlMap for free today. Visit scalepad.com slash Dave to get started. That's scalepad.com slash Dave. The SMB Online Conference is June 23rd through 25th and registration is open now. Three days of practitioner-focused sessions.

[00:09:16] Pricing, M&A, AI, private equity, service delivery. No vendor speakers. No fluff. The theme is, profitable is enough. If that resonates, you should be there. Small Biz Thoughts community members get in free. Everyone else, $399 at smbonlineconference.com. Why do we care? The governance void signaled by ConnectWise's shift,

[00:09:46] and that Thrive Holdings is already pricing into its roll-up model, is a service MSPs are currently delivering informally and billing for zero. AI usage governance, spend monitoring, and access scoping have a scope, a delivery cost, and a liability attached to them. They are not support tasks to bundle into a base rate. Before your next renewal or new engagement, name it, define it, and add it as a line item, because someone is going to charge for it,

[00:10:15] and the first MSP who does frames the market for every client that follows. What to consider? Instrument before you price. Before adding AI governance as a line item, audit what AI tools are currently running inside each client environment, which agents have access to what systems, what the current monthly token spend is, and whether any usage limits exist. This audit is billable as a one-time assessment.

[00:10:43] It also surfaces the liability exposure you're currently absorbing for free. Treat the Freshworks 89%-15% finding as an account segmentation tool, not a market data point. The gap between planning AI spend and having it embedded in workflows is your prospecting filter. Every client sitting in that gap is accumulating ungoverned exposure without an internal function designed to manage it. Sort your accounts by that delta,

[00:11:13] prioritize the widest gaps, and lead with a liability question, not the productivity pitch. And price the liability, not the labor. The $500 million clawed bill is an extreme case, but the mechanism, no usage limits, no spend visibility, no access controls, exists at smaller scale in most mid-market client environments right now. An MSP who sets spending caps, scopes agent access,

[00:11:41] and documents that governance in the contract is not selling hours. They're selling indemnification from a class of cost event that clients don't yet know they're exposed to. That's a different pricing conversation than managed services has historically had. If this trend continues, AI governance will become a standard managed services line item before AI productivity becomes a reliably measurable client outcome.

[00:12:08] Because the cost, access, and liability exposure will arrive faster than the ROI proof. This is the Business of Tech. Want more from the Business of Tech? Join Business of Tech Plus for ad-free episodes, early interviews, extended cuts, subscriber-only shows, and exclusive member perks and analysis. Sign up at businessof.tech slash plus. And follow this show on your podcast app,

[00:12:38] and if you're on YouTube, hit subscribe and the bell so you never miss a story. Reviews and comments help spread the word too. Interested in advertising? Head to mspradio.com slash engage. The Business of Tech is written and produced by me, Dave Sobel, under ethics guidelines posted at businessof.tech. Thanks for listening. I'll see you on the next episode. Part of the MSP Radio Network.