MSP, Managed Services, AI/ML

MSPs get a way to turn AI governance into recurring revenue

Hatz AI has launched Hatz Activate, a new command center designed to help MSPs roll out AI services across their small and midsize business customers. Built into the Hatz Admin panel, the tool brings client assessment, outreach, onboarding, and adoption tracking into one place.

MSPs can connect Hatz Activate to their professional services automation platform or upload a customer CSV file. The platform enriches each account by domain and industry, runs AI readiness assessments, and surfaces shadow AI activity across the customer base. Partners can then group accounts, send invitations in bulk, and track which clients have received or activated the service.

Jimmy Hatzell, CEO and co-founder of Hatz AI, told ChannelE2E, “This is the whole point of Activate. Import your book of business from your PSA or a CSV. Activate enriches every company, runs an AI-readiness assessment, and surfaces Shadow AI risk across your entire client base, in minutes."

Connecting Activate to existing MSP tools

The platform supports HaloPSA, ConnectWise Manage, and Datto Autotask at launch. Hatzell said the PSA connection is read-only and limited to five fields: company name, domain, primary contact name and email, and record ID. The company does not write data back to the PSA, and credentials are encrypted at rest.

“For PSA, HaloPSA, ConnectWise Manage, and Datto Autotask are live today. More coming,” Hatzell said. “And the sync is read-only. Five fields. Company name, domain, primary contact name and email, record ID. We never write to your PSA. Credentials encrypted at rest.”

RMM deployment follows a different model. Hatz Activate generates a one-time ingest link for the Shadow AI Scan, which MSPs can deploy through their existing RMM platform or a Group Policy task. According to Hatzell, that approach works with tools such as NinjaOne, ConnectWise, and Datto without placing a Hatz API key on the customer’s device.

“RMM works differently, on purpose. The Shadow AI Scan generates a one-time ingest link you deploy through whatever RMM you already run. Ninja, ConnectWise, Datto, or a GPO task. No Hatz API key ever touches a customer machine,” he said.

The scan checks browser history, installed applications, integrated development environment extensions, and npm packages against a known list of AI tools. MSPs can use that data to identify unsanctioned AI use, assess risk, and open a broader conversation about governance.

Turning AI governance into recurring revenue

Hatz AI is positioning Activate as a way for MSPs to turn AI readiness, governance, and ongoing oversight into managed services. Hatzell said partners could run shadow AI scans and readiness assessments on a recurring schedule, then use the results to support quarterly reviews and ongoing billing.

“Here's the recurring part. Shadow AI scans are point-in-time snapshots. Readiness changes. That means AI governance is not a project. It's a service. Rescan quarterly. Reassess. Report. Bill for it,” Hatzell said. “Same playbook works for use case delivery on the platform. Hatz does the heavy lifting. Partners package and price it.”

Hatz does not prescribe a fixed resale price. Activate includes a revenue calculator that estimates monthly recurring revenue and margin based on the number of customers and the package price set by the MSP. Partners can start customers on an entry-level package, then move them into broader services as adoption grows.

“On pricing, we don't hand you a rate card. You own the margin. Activate has a built-in revenue calculator that shows MRR and margin based on your customer count and your package pricing. You set the price. We give you the platform. When a prospect converts, spin up a tenant and upgrade the package as they grow,” Hatzell said.

Measuring adoption and risk over time

Before activation, the Shadow AI Scan gives MSPs device-level data, including risk tiers, devices scanned, AI tools found, affected users, and risk by tool. After activation, the Hatz Admin Dashboard tracks credit usage, user activity, and adoption by tenant.

“We look at visibility in two layers. Before the sale: the Shadow AI Scan gives you device-level proof. Risk tier, devices scanned, distinct AI tools found, users affected, per-tool risk breakdown,” Hatzell said. “Then after activation, the Admin Dashboard gives you credit usage, user activity, and a per-tenant Adoption tab.”

That gives MSPs a way to show progress over time during quarterly business reviews. They can compare an initial shadow AI baseline with later scans, track readiness scores and measure whether customers are shifting toward approved AI tools.

“Put them together and you have a QBR story that writes itself. Baseline shadow AI exposure, then the rescan shows it dropping. Readiness scores are improving. Sanctioned adoption climbing. Measurable value, every quarter,” Hatzell said.


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Suparna Chawla Bhasin

Suparna is the Senior Managing Editor for CyberRisk Alliance’s Channel Brands, including MSSP Alert and ChannelE2E. She manages content development, sharpens editorial workflows, and ensures storytelling is tightly aligned with audience needs. With a background in technology, media, and education, she combines strategic insight with creative execution.

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