Your clients are already using AI. You just haven’t been paid for it yet.

Every MSP is fielding the same question right now: “What should we be doing with AI?” The honest answer used to require a custom project, a smart person with spare time, and a slide deck built from scratch. Which means most MSPs can serve maybe 20% of their client book that way. The other 80% gets a shrug and a follow-up email.

Lemhi closes that gap. It gives your team one repeatable way to assess, sell, deliver, govern, and prove AI across every client you have, so AI stops being a series of one-off projects and starts being a managed service line on the agreement.

Our team came up through MSPs. We’ve built and sold in this channel for a combined 45+ years, and we built Lemhi because we watched AI turn into the thing everybody talked about and nobody could package.

How Lemhi Works

It starts by scoring every client the same way. You send a readiness survey under your own brand and connect the client’s Microsoft 365 tenant. Lemhi takes the survey responses and the environment signals and returns a scored AI readiness baseline. The same process runs for your largest client and your smallest, which is what makes it a practice instead of a favor you do for your best accounts.

The assessment finds the shadow AI already in the building. Lemhi shows which AI tools a client’s people are actually using and who is using them, down to named respondents. That is usually the moment the engagement sells itself, because the client learns their data is already moving through tools nobody approved. Alongside it, the data governance view shows what Copilot can actually reach: SharePoint sharing posture, tenant policy gaps, risky sites, and the talking points to walk leadership through all of it before anything gets turned on.

Findings become a plan the client signs. The AI Enablement Planner runs 9 steps and 36 questions and produces a ranked use-case roadmap with owners named, an Enablement Score, a package recommendation, and a projected ROI range. It also writes the leave-behind: a whitelabeled executive summary with your logo on it that your vCIO can put in front of the C-suite the same week. The plan that sells is the plan you deliver.

Then Lemhi proves it worked. AI Observability reports licensed seats against active seats, 30-day usage trends, and agent activity. That is what people actually do, not what they said in a survey, and it is what turns the AI segment of a QBR from a status update into evidence. Adoption gets tracked, governance holds, and the wins get packaged for the meeting where renewals are decided.

Above all of it sits the partner dashboard. Every client, every readiness score, every engagement that has stalled, in one view. It answers the question that actually governs an MSP’s week: where should the next hour of vCIO time go.

Two products carry this. Engage is the front door, running assessment through signed plan, and it is available now. Compass is the delivery layer that runs those roadmaps across every client at once, and it is rolling out to design partners. Between them sits the operating model we call Transformation as a Service, a monthly managed practice owned by a named strategist on your team, the virtual Chief AI Officer. Lemhi does the prep work. Your vCAIO runs the room.

What Lemhi Solves

AI in an MSP fails for operating-model reasons, not technology reasons. The tools are already in your clients’ hands. What’s missing is the practice around them. Six problems show up in almost every MSP we talk to.

Clients ask about AI and every answer turns into a custom project. Lemhi replaces the bespoke scramble with standardized discovery. Surveys and Microsoft 365 signals go in, readiness comes back scored, the same way every time.

AI conversations collapse into tool talk with no way to prove value. A ranked use-case roadmap with owners named and ROI projected gives you something leadership can sign, in the language they make decisions in.

Only your biggest clients can afford real AI work. This is the 80/20 problem, and it’s the reason most MSP AI practices stall. One playbook that runs the same for a 40-person client and a 400-person client moves 100% of your book forward instead of the top 20%.

Shadow AI is already in your clients’ environments and nobody owns it. Lemhi surfaces it by name, hands you acceptable use policy kits, and shows what Copilot can reach. Governance stops being the thing you promise to get to and starts being the thing you sell.

Your AI practice depends on one talented person who is already busy. Lemhi does the scoring, the scanning, the summarizing, and the reporting. The prep is automated so the judgment can stay human, and so the practice survives that person taking a vacation.

The engagement ends right when the client would have seen value. This is the trap in one-time readiness work: the hardest hours get billed up front, Copilot gets switched on, and everyone walks away just before the payoff. Lemhi is built for the opposite shape. Adoption tracked, wins shipped monthly, progress proven at the QBR, and expansion triggers that grow the engagement instead of ending it.

The result is a revenue line rather than a fee. The old pitch was “can we get you AI ready,” billed once at $5,000 to $15,000, then silence. The new pitch is a monthly managed service that renews because it is measured.

Built For

Lemhi is built for MSPs who have decided AI is going to be a line of business rather than a side project, and who would rather run a proven playbook than spend a year writing one.

The single biggest predictor of success is having someone in the room with the client. An account management team or a vCIO practice is what makes this work. The assessments, the roadmaps, and the QBR reporting all assume there is a person who owns the strategic relationship and can carry a recommendation into a leadership conversation. If you already have that motion, Lemhi plugs into it. If nobody at your MSP owns the client conversation above the ticket, the software will not create that for you.