What Control Center does

Client business context

Every client’s business documented and kept current. Every answer starts from it.

• Techs work every ticket with the client’s business in view.
• No interviews to run and no wiki to keep current.
• New AI opportunities show up on their own.

How it works: Control Center reads each client's apps and maps how their business runs, then every desk in your MSP works from that one record.

Client business context on the Capabilities page

AI managed services

Find, value, price, build and bill AI services for every client.

• AI finds, values, prices, builds and bills each service.
• Your team makes one decision: approve it.
• New recurring revenue on every client, at your margin.

How it works: AI finds the opportunity, values it, prices it, builds it and bills it. The MSP approves it once.

AI managed services on the Capabilities page

Automation

Build a workflow once and run it for every client, with approvals and a run log.

• Build it once and sell it to every client.
• No automation engineer to hire.
• Tested on live data before any client sees it.

How it works: Describe the job in plain English, AI drafts the workflow, it is tested on live data, and every client gets it.

Automation on the Capabilities page

Technology standards

Your standard on every client, checked every morning, with drift flagged.

• Problems get fixed before the client calls.
• Junior engineers deliver like your senior ones.
• Every gap becomes a project you can sell.

How it works: Your standard is checked against every client each morning. Drift becomes a ticket you fix today or a project you sell.

Technology standards on the Capabilities page

Reports and QBRs

Reports and QBRs from live data, in each client’s terms, on demand.

• QBRs ready in minutes, not days.
• Every client gets one, every quarter.
• Risks explained in business terms, with the fix priced.

How it works: Live data from every tool and the client's business context become a QBR in their terms. Your vCIO approves it and sells the next project.

Reports and QBRs on the Capabilities page

Roadmaps and budgets

A priced roadmap and budget for every client, refreshed every QBR.

• A 12-month plan and budget for every client.
• Clients see every cost coming.
• AI spend alerts at 80%, and runs never stop.

How it works: Approved work goes on a dated roadmap and a 12-month budget, and AI spend is tracked against the budget you sold.

Roadmaps and budgets on the Capabilities page

Billing and AI margin

Every AI run metered and priced, billed through your PSA at your margin.

• AI services bill themselves, with zero labor hours.
• See the margin on every client and every workflow.
• Waste is found and fixed, so your margin grows.

How it works: Every AI run is metered. Your cost plus your margin sets the price, and the line lands on the invoice in your PSA.

Billing and AI margin on the Capabilities page

Control Center MCP

Your team’s AI on every client, every tool and every API.

• Answers about any client, across every tool, in seconds.
• Any answer can become an automation.
• Same permissions as the login, and a person approves every action.

How it works: Your tech asks in Claude or ChatGPT. Control Center MCP checks their role and clients, reaches every tool and answers with the source.

Control Center MCP in the docs

Security and governance

Role-based access, approvals and an audit trail for every AI run.

• Your AI account and keys, and nothing trains on client data.
• You decide exactly what AI can touch.
• An audit trail for every action, ready for any auditor.

How it works: An AI agent asks to act, your policy decides, a person approves anything risky, and every action is logged with its cost.

Security and governance on the Capabilities page