Track 03 · Scale
Selling AI was the easy part. Now operate it at scale.
Past the first dozen client deployments, an AI practice stops being a sales story and becomes an operations problem: isolation, access control, cost attribution, monitoring, and the build queue. The Scale track is for partners whose growth is outrunning their tooling.
This Is You If
Success is starting to hurt
Every new client adds another environment to babysit. Custom builds pile up in a queue only your two best engineers can clear. Nobody can say which clients are profitable on AI, because usage lives in five dashboards. And the tools you started with were built for one company's IT team, not for a partner running thirty tenants.
What You Get
Infrastructure built for a book of business
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One control plane for everything
Canopy centralizes configuration, feature gating, usage analytics, and delegation across every tenant. Platform-level isolation means client data never commingles.
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A build queue that clears itself
Wingtip builds routine automations end to end, so your engineers only touch the builds that deserve them. Pylon gives those engineers breakpoint debugging, versioning, and rollback when they do.
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Agents as infrastructure
Every agent can be exposed as an MCP endpoint and every runtime event can hit your RMM via webhooks, so the AI practice plugs into the operations stack you already run.
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Migration without a rewrite
1,900 production agents moved onto the current runtime in under 30 minutes at a 98.9% success rate. Your existing automations are a migration, not a do-over.
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Co-managed delivery at peak
When a client project exceeds your bench, Synthreo engineers deliver it with you, then hand it back to your team to run and bill.
The Plan
From sprawl to system
- 01
Map the estate. We inventory your current deployments, tools, and cost leaks against the platform.
- 02
Consolidate onto one plane. Tenants, agents, and monitoring move under Canopy, with usage attribution per client from day one.
- 03
Grow the ceiling. Agentic delivery through Wingtip and Pylon becomes your premium tier, priced on outcomes instead of hours.
FAQ
Frequently asked questions about scaling an MSP AI practice
How do MSPs operate AI across dozens of clients?
From one control plane. Canopy centralizes per-tenant configuration, feature gating, usage analytics, and delegation across every client environment, with platform-level isolation. What is running, what it costs, and who uses it are answered in one dashboard instead of five.
How do I clear a growing agent build queue?
Let Wingtip take the routine builds. It designs, builds, tests, and deploys Pylon agents from plain English descriptions, so engineers only touch builds that need them. When they do, Pylon gives them breakpoint debugging, versioning, and one-click rollback.
Does Synthreo integrate with my RMM and monitoring stack?
Yes. Outbound webhooks push agent success, failure, and state-change events into RMM and monitoring tools, and inbound webhooks with filtering and signing let outside systems trigger agents. Agents can also be exposed as MCP endpoints callable by other platforms.
Can I migrate existing AI automations without rebuilding?
Yes. The migration path is proven: 1,900 production agents moved to the current runtime in under 30 minutes at a 98.9% success rate, driven by AI. Existing automations transfer as a migration project, not a rewrite.
What happens when a client project exceeds my bench?
Synthreo engineers co-deliver it. The project ships under your brand with both teams working it, then hands back to your staff to operate and bill. Peak demand stops being a hiring decision.
Show us your messiest tenant
We will map your operation onto the platform, live.