MSPilot

Clients' employees are already using consumer AI tools like ChatGPT, Claude, and Gemini without oversight, pasting contracts, patient notes, and financial data into apps on personal accounts. This creates a data-leak and compliance problem that MSPs cannot see or control, and leaves AI usage ungoverned by any contractual or regulatory safeguard. At the same time, MSPs are not capturing the recurring revenue opportunity this represents, since clients are getting this value for free from unmanaged tools rather than paying their MSP for it.

MSPilot gives MSPs a governed AI workspace that lets clients keep using the same familiar AI apps (ChatGPT, Claude, Gemini, and others) while the MSP controls the underlying model, guardrails, data policy, and margin per seat. The MSP charges clients one flat subscription per employee while choosing leaner or costlier models behind the scenes to set their own margin, illustrated via a profit calculator on the site. Governance features include full visibility into every prompt and response, per-tenant data isolation, automatic PII redaction, audit-ready immutable logs, role-based access controls, and governed MCP connectors that proxy data access so raw records never leave the workspace or reach public model training. The platform integrates with existing MSP tools like ConnectWise, Datto RMM, HaloPSA, NinjaOne, Autotask, N-able, and Syncro so it can be deployed and billed through the stack MSPs already use, and usage analytics are meant to surface repeat workflows that MSPs can productize into additional billable custom agents.

Shadow AI use (employees pasting sensitive data into personal ChatGPT, Claude, and Gemini accounts) is described as an existing, unmanaged risk inside client organizations today, creating both a compliance gap and an unclaimed recurring-revenue opportunity for MSPs.