AI governance for MSPs, across every client tenant

Every client is using AI tools nobody approved. ShadowLock is the multi-tenant platform that lets MSPs detect, control, and bill for AI governance across their entire client base, without managing a separate console per organization.

1
dashboard,
every client
<30min
onboard a
new client org
~5min
to get your
per-device rate card
0
end-user steps
to enroll

What is AI governance for MSPs?

AI governance for MSPs is the practice of discovering, controlling, and evidencing employee AI use across every client environment you manage, rather than one company at a time. In practice it means a multi-tenant platform that inventories the AI tools in use per client, enforces a per-client policy on endpoints and browsers, and produces the audit records that SOC 2, HIPAA, and cyber-insurance renewals now ask for. It starts with shadow AI detection across every client's endpoints and browsers, and ends as a standard, billable line on your managed-services menu.

Why MSPs choose ShadowLock

We come from the MSP world. We built ShadowLock because nothing else fit how MSPs actually deliver security.

01 · The model

Multi-tenant from day one

Partner → organization → device hierarchy mirrors how MSPs actually operate. Onboard new client orgs in minutes. Policies cascade automatically, with no per-client console hopping. Set a baseline at the partner level, override per organization where needed, and the platform handles the rest.

02 · The business case

A new managed service line

AI governance is the next compliance line item for every SMB and mid-market client. Per-device per-month pricing with volume tiers means you can mark up cleanly and bill monthly without margin surprises. Like patch management ten years ago, this becomes a standard line on the menu. We also give you the sales motion for it: the opening hook, the free assessment that proves exposure, and one service to quote.

03 · The pitch

Differentiate on AI security

Most MSPs still have no AI story. Show up to renewal conversations with a working shadow AI program, a compliance report, and a real answer when the client asks about ChatGPT risk. The MSPs with AI governance in the bag are winning the renewals their competitors are losing.

04 · The deployment

Silent rollout via your RMM

Push the agent via your existing RMM. Force-install the browser extension via Chrome and Edge enterprise policies. End users see nothing until they paste something sensitive into ChatGPT. Onboarding a new client org takes under thirty minutes start to finish.

Sales enablement

Sell AI governance to your clients

ShadowLock doesn't just give you the controls. We give you the sales motion: the hook that opens the conversation, the free read-only assessment that proves the client's exposure, one service to quote, and a way to close either answer.

  1. 1

    Conversation

    Open with the pressure they already feel: cost, regulation, insurance, or a real incident.

  2. 2

    Assessment

    A free read-only scan returns their own AI Exposure report. The scan does the selling.

  3. 3

    Proposal

    One Managed AI Governance service: onboarding plus a recurring per-device fee.

  4. 4

    Decision

    Yes moves to onboarding. Not yet gets a documented risk acceptance and a review date.

See the 5-Step MSP Sales Motion

What multi-tenant actually buys you

Plenty of tools have a partner login bolted onto a single-tenant product. These are the things that only work when the tenancy goes all the way down to the data model.

One dashboard across every client

A partner-level rollup view spanning every organization you manage, with drill-down into a single client, device, user, or AI tool. No separate login per client, no console switching to answer a simple question.

Policy cascade with per-client override

Set your standard AI policy once at the partner level and let it inherit down to every client organization. Override at the organization or individual device level where a client needs something different. The merge happens server-side, so an override never silently drops the rest of your baseline.

Endpoint and browser enforcement

A Windows service blocks desktop AI applications and monitors the clipboard; a managed Chrome and Edge extension intercepts pastes and uploads into AI sites and classifies the content before it is submitted. Enforcement sits where the work happens, so it holds on personal accounts and off the corporate network.

Microsoft 365 AI app discovery

Scan each client tenant for the AI applications employees have granted OAuth access to. These never touch the endpoint or a blockable domain, so they are invisible to DNS filters and firewalls, and they are usually the first thing a client is surprised by.

Your brand, not ours

White-label the employee-facing block page with your logo, your message, your support contact, and your name in the footer, and put your logo on the report covers your clients receive. To the end user it reads as their IT provider's program.

Pre-sales AI audit scans

Send a prospect a lightweight scanner that inventories the AI tools, browser extensions, and AI browsing already present on their machines, then hand back a risk-tiered audit report. It needs no admin rights and no install, which is what makes it usable as a sales opener rather than a project.

Deciding what to enforce before you roll it out? The guide to blocking unsanctioned AI tools covers what enforcement looks like on the endpoint, and the running list of real shadow AI incidents is the evidence most MSPs use to open the conversation with a client.

Managing AI across a client base

The questions MSP owners ask before they standardize on a platform.

Which AI governance platforms support multi-tenant deployment?

Very few. Most AI governance products are single-tenant enterprise tools, which means one console, one policy set, and one contract per client, and that stops scaling somewhere around the third or fourth org. ShadowLock is multi-tenant in the data model itself: a partner owns organizations, organizations own devices, and policy cascades down the hierarchy with an override available at every level.

How can an MSP monitor AI use across multiple customers?

Deploy one agent and one managed browser extension per client through the RMM you already run, and let every client report into a single partner-level dashboard. You then see which AI tools each client uses, which accounts are personal rather than corporate, and what sensitive data was blocked, filtered by client, device, user, or tool from the same console.

How do MSPs turn AI governance into a managed service?

Price it per device per month, bundle it into your security tier, and mark it up like any other managed line. The delivery motion is a discovery scan, a written AI acceptable-use policy backed by enforcement, and a recurring report you present at the quarterly business review. The compliance driver does the selling: clients are now asked about AI controls by their auditors and insurers. The full five-step sales motion, with the deck, runbook and close kit, is in the MSP sales kit.

Still comparing options? Our buyer's guide to AI governance tools built for the MSP delivery model walks through the evaluation criteria that actually matter, and the MSP sales kit covers how to sell it once you have picked one, down to what to charge per device.

MSP FAQ

Which AI policy management platforms support multi-tenant deployment?

ShadowLock is multi-tenant in its data model, not as a configuration option: a partner to organization to device hierarchy, with policy cascading down and each level able to override the one above. Most AI governance tools are single-tenant, which means one console per client and does not survive past a handful of them.

Why do MSPs need an AI governance tool?

Every MSP client now has a shadow AI problem, whether they know it or not. As cyber insurance underwriters, SOC 2 auditors, and HIPAA assessors start asking about AI controls, MSPs that have a working answer win renewals and net-new business. MSPs that don't have an answer lose them. AI governance is becoming a standard line on the managed services menu, like patch management was a decade ago.

How does ShadowLock's MSP model work?

ShadowLock's multi-tenant hierarchy gives partners a single dashboard rolling up every client org. You set baseline policies at the partner level, override per-organization where needed, and let the platform handle the cascade. Billing is per-device per-month with volume tiers, so you can mark up cleanly and bill clients monthly without margin surprises.

How long does it take to onboard a new client?

Most MSPs onboard a new client org in under thirty minutes. Create the org, push the agent via your RMM, force-install the browser extension via Chrome/Edge enterprise policies, and live AI activity starts flowing into the dashboard. The baseline policy is sane out of the box; you customize from there.

Does ShadowLock work with our RMM?

The Windows agent is a standard silent installer, so it deploys through whichever RMM you already run the same way any other agent does, and the browser extension force-installs through Chrome and Edge enterprise policy, which is also pushable from an RMM. There is no per-machine manual step and no end-user prompt.

Can we white-label or co-brand for clients?

Yes, at the partner level. The employee-facing block page carries your logo, your message, your support contact, and your name in place of ours, and your logo appears on the report covers clients receive. That branding applies across your whole client base rather than being configured per client.

Can we show a prospect their AI exposure before they buy?

Yes. Send an AI audit scan invitation and the prospect's staff run a lightweight scanner that inventories installed AI apps, AI browser extensions, and AI browsing history. It requires no admin rights. The results come back as a risk-tiered report you can present, which is usually a faster route into the conversation than a slide about shadow AI in general.

What does the pricing look like for MSPs?

Per-device, per-month, with volume tiers that drop as you scale. No annual commitment. No "speak to your account manager" pricing. Standard MSP markup applies. See the pricing section on the homepage for current rates.

How ShadowLock compares for MSPs

The MSP-channel shadow AI tools your prospects ask about - side by side, no fluff.

Add AI governance to your managed service menu

Free 14-day partner trial. Onboard your first client org in under an hour.