Turn Shadow AI into your next revenue line.
Your clients' teams are already using ChatGPT, Claude, and Gemini — usually without oversight. Resell governed versions of the AI they actually want, keep the data safe, and bill for it every month.
The AI your clients want
Govern the top AI Agent Apps
Your clients keep using the exact apps they already know and love — same interface, same workflow. Behind the scenes, you control the model, the guardrails, and the margin.
Your client sees
The familiar apps — unchanged.
You control
- The model behind each app
- Guardrails & data policy
- The margin on every seat
The backend — entirely yours.
One workspace, one bill — your clients get every app, you keep the control.
The economics
One subscription. Every app. Your margin.
Your client pays you the price of a single AI subscription — but instead of one tool, their whole team gets governed access to every AI app they want. Behind each app, you choose the model that powers it. Pick a leaner engine and the spread becomes your margin.
Client pays 1x
One flat subscription
You pick the model
Per app, per tenant
You keep the spread
Margin on every seat
What your client pays
…but their whole team unlocks all of it:
- Claudegoverned access
- ChatGPTgoverned access
- Geminigoverned access
- OpenClawgoverned access
- Hermesgoverned access
What you control
Swap the model behind each app. A leaner engine costs you less — the difference is your margin.
Profit calculator
Model your governed AI recurring profit.
Charge per employee, cover your AI cost and MSPilot fee, and keep the spread. Drag the sliders to see what a governed workspace could earn across your book.
Your scenario
$10 profit per employee across 250 employees.
Annual profit
$30,000
Margin
45%
Employees
250
You keep the spread between what each employee pays and the AI cost plus MSPilot fee. Your actual numbers will vary with usage and the models you choose.
The problem
Shadow AI is already in your clients' walls
Your clients don't want to use Copilot. Staff are pasting contracts, patient notes, and financials into AI apps on personal accounts. It's a data-leak and compliance problem you can't see — and a recurring-revenue opportunity you're not yet capturing.
Governance built in
Control the AI sprawl, not just copilot
Full visibility
Every prompt, file, and response runs through a workspace you control. No more guessing which staff pasted client data into a random chatbot.
Data stays contained
Governed connectors, retention rules, and per-tenant isolation keep sensitive information out of public model training and off unmanaged devices.
Audit-ready logs
Immutable activity trails, access controls, and usage reporting give you the evidence compliance and cyber-insurance reviews now ask for.
Role-based access
Decide which teams get which models, set guardrails per department, and revoke access instantly — all from a single MSP console.
Connected, not exposed
Governed MCP connectors that prevent data leakage
Agents need your clients' real data to be useful — but that's exactly where leaks happen. Every MCP connector runs behind the workspace, so tools get the context they need without ever handing raw data to a public model.
Scoped permissions
Each connector only exposes the data a given agent is allowed to touch — nothing more, per tenant.
Nothing leaks to training
Every request is proxied through the workspace, so client records never end up in public model training.
Every access logged
See exactly which agent read which record, when, and why — down to the individual row.
Governed connectors, out of the box
Compliant by default
Built to the standards your clients regulators expect
Sensitive data is redacted automatically before it ever touches a model, and every control maps to the frameworks your clients are audited against — so AI stops being the thing that fails their next review.
Automatic PII redaction
Names, emails, health details, and account numbers are detected and masked before a single token ever reaches a model — then restored in the response your client sees.
Encrypted end to end
Data is encrypted in transit and at rest, with per-tenant isolation so one client's records never mix with another's.
Audit-ready logging
Immutable, exportable logs of every prompt, redaction, and access event — the evidence auditors ask for, already on hand.
Data residency & retention
Keep data in-region and set retention windows per client to satisfy contractual and regulatory obligations.
Aligned with the frameworks that matter
SOC 2 Type II
Audited controls
HIPAA
PHI safeguards
GDPR
EU data rights
PIPEDA
Canadian privacy
ISO 27001
InfoSec management
Framework alignment reflects the workspace's controls; specific certifications depend on your deployment and provider agreements.
From AI to Custom Agents
AI usage shows you which agents to sell next
Because every interaction runs through you, the Governed AI Workspace becomes a live map of demand — surfacing the highest-value agent upsells hiding in each client's day-to-day usage.
See where AI is really being used
Usage analytics reveal which tenants and teams lean on AI the most, and for what — the clearest signal of where an agent will pay for itself.
Surface repeat workflows
When the same prompts and documents show up week after week, MSPilot flags them as candidates to productize into a dedicated, billable agent.
Turn signals into proposals
Bring data, not guesses, to your QBRs. Show each client exactly where a governed agent saves hours, then attach it as a recurring line item.
Make AI your next recurring revenue line
Give your clients the governed AI they're already reaching for, keep their data safe, and turn every workspace into a pipeline of billable agents. Book a demo and we'll map it to your book.
Book a demo