For managed service providers # Turn every client into AI MRR. Your clients are already asking about AI. Control Center turns the answers into AI managed services you deliver and bill, every month. [Book a call](https://www.resultsiq.ai/demo/?src=home) [Join the waitlist](https://www.resultsiq.ai/waitlist/) Example, one client (Northbridge Insurance). They ask: "Do we need an AI policy?" "Is our data safe in ChatGPT?" "Where would AI actually save us money?" "What should we do first?" "Can you just run it for us?" You answer with one managed service on their monthly invoice: AI managed services, $2,500 a month. It includes AI policy and governance, approved AI tools and data protection, an AI opportunity assessment, an AI roadmap reviewed every QBR, and managed AI automations built for their tools and processes. Delivered and billed in Control Center. Works with the tools your MSP already runs. [See all 156](https://www.resultsiq.ai/integrations/) Control Center connects to 156 MSP tools through their public APIs, including NinjaOne, ConnectWise PSA, Microsoft 365, Datto RMM, Autotask PSA, SentinelOne, IT Glue, HaloPSA, Huntress and Veeam, plus anything with a documented REST API. What it’s worth ## What’s AI MRR worth to your MSP? Update the calculator below to see how much profit this puts in your pocket. The calculator multiplies four inputs. At its defaults (40 clients, 40% of them buy, 3 billable workflows each, $2,500 a month per client): AI revenue is 16 clients × $2,500 a month × 12 = $480,000 a year. Gross profit is $480,000 × 70% margin, less $64,200 of ResultsIQ fees ($1,750 a month, plus $75 a month for each of 48 billable workflows) = $271,800 a year. At 8 times yearly profit, the multiple a buyer pays for recurring profit, that adds $2.17M to what the MSP sells for. This is the AI line on its own. Year one bills about half of it, because adoption starts at zero. The full three-year picture is in [The No Brainer](https://www.resultsiq.ai/no-brainer/) Capabilities ## Everything your MSP runs on, in one platform. AI managed services are where it starts. Pick any capability to see it in detail. [### Client business context Every client’s business documented and kept current. Every answer starts from it.](https://www.resultsiq.ai/capabilities/#c-doc) [### AI managed services Find, value, price, build and bill AI services for every client.](https://www.resultsiq.ai/capabilities/#c-rev) [### Automation Build a workflow once and run it for every client, with approvals and a run log.](https://www.resultsiq.ai/capabilities/#c-auto) [### Technology standards Your standard on every client, checked every morning, with drift flagged.](https://www.resultsiq.ai/capabilities/#c-std) [### Reports and QBRs Reports and QBRs from live data, in each client’s terms, on demand.](https://www.resultsiq.ai/capabilities/#c-rep) [### Roadmaps and budgets A priced roadmap and budget for every client, refreshed every QBR.](https://www.resultsiq.ai/capabilities/#c-road) [### Billing and AI margin Every AI run metered and priced, billed through your PSA at your margin.](https://www.resultsiq.ai/capabilities/#c-cost) [### Control Center MCP Your team’s AI on every client, every tool and every API.](https://www.resultsiq.ai/mcp/) [### Security and governance Role-based access, approvals and an audit trail for every AI run.](https://www.resultsiq.ai/capabilities/#c-sec) [See every capability](https://www.resultsiq.ai/capabilities/) Control Center MCP ## Every tech covers more. Every endpoint costs less. Labor is an MSP’s biggest cost. Connect your team’s AI to Control Center once, and every person reaches every client, every tool and each client’s business. Your cost to deliver drops, so you keep more margin or price to win. Modeled example: 12 technicians supporting 2,000 endpoints, each getting 5 hours back a week. Endpoints each tech supports go from 167 to 190 (+14%). Labor cost per endpoint goes from $40 to $35 a month. Keep your price and that is $120,000 a year in margin, or price to win at $5 less per endpoint with the same margin. Assumes $80,000 loaded cost per technician, 48 working weeks and 1,920 hours per full-time person. ### An EDR that understands the business. An RMM that does too. Control Center builds a context graph of each client: every device, account, site and alert, joined to their people and how their business runs. Every alert, answer and report your team gets carries it. For example, the EDR says "Suspicious PowerShell on NB-LT-0142." With business context, your team sees: it's the underwriting manager's laptop, in renewal season, so isolate it, then call her. The RMM says "Disk 94% full on NB-FS01." Your team sees: it's where the claims team scans, and full by Friday means late claims, so fix it today. Microsoft 365 says "MFA is off for 2 accounts." Your team sees: both people approve wire transfers, Northbridge's top risk, and a ticket is opened. Network monitoring says "Packet loss on the Tampa office link." Your team sees: Tampa's agents quote by phone all day, so fail over to the backup line before 9 a.m. Microsoft Entra says "Impossible-travel sign-in for m.chen." Your team sees: it's the controller, two days before payroll, so lock the account and verify by phone. If there's a path to the data, your team can use it. ### The same context, at every desk. Everything is mapped together into one on-demand record of each client: their technology, their people and how their business runs. No gaps, nothing out of reach, and every answer in terms the client understands. Service desk engineer Responding to a ticket or an alert Laptop NB-LT-0142 Underwriting manager Renewal season Her laptop, in renewal season. It’s priority one: call her before you isolate it. Technology standards engineer Keeping every tool deployed to standard 2 accounts without MFA Finance Approves wires Those two accounts approve wire transfers. They go to the top of the list. vCIO Selling the next project to the decision maker Tampa office link Sales agents Quotes by phone Tampa’s agents quote by phone all day. A second line keeps them selling when this one drops. ### Ask it. Automate it. Report on it. - Ask about any client, across every tool. Every answer names its source. - Automate what you just did, as a skill in your AI or a workflow that runs for every client. - Report in each client’s terms: QBRs, alignment, patch status. Same roles and client scopes as the login, and a person approves before anything runs. Claude and ChatGPT at launch, included in the platform price. Service desk Which clients have laptops missing the DNS roaming agent? 7 laptops at 3 clients: Northbridge Insurance (4), Golden Gate Insurance (2), Northwind Manufacturing (1). Want a ticket opened for each? Source: RMM and DNS filter, live Service desk Check for that every morning, for every client. Done. It’s saved as a skill in your AI and as a workflow that runs at 6 a.m. for every client and opens the ticket. It’s waiting for your approval. Source: Workflow Studio vCIO Draft the QBR summary for Northbridge Insurance. Drafted in Northbridge’s terms: both people who approve wires now use MFA, and the claims server was fixed before it filled. It’s in QBR Studio for your review. Source: QBR Studio You’re not just an MSP anymore. You’re the data and information company for every client you manage. [See Control Center MCP](https://www.resultsiq.ai/mcp/) Who uses it ## The automation layer for every team in your MSP. Each team does its job in less time and takes on more, with their AI on every client and reports on demand. Service desk. Today: Triage and route every ticket by hand. With Control Center: Triaged, enriched and routed before a tech opens it (automated). Today: Search five tools for context. With Control Center: Ask about the user, the device and the client in one place (mcp). Today: Fix the same issue, client by client. With Control Center: Fix it once, run it for every client (automated). Ask it: "Who at Northbridge is affected by this outage, and what are they working on today?" Technology standards. Today: Audit each client by hand, once a quarter. With Control Center: Every client checked against your standard every morning (automated). Today: Dig through tools to find why a setting drifted. With Control Center: Ask which clients drifted, and why (mcp). Today: Write the alignment report. With Control Center: A client-ready standards report, on demand (on-demand report). Ask it: "Which clients drifted from our Microsoft 365 standard this week, and why?" vCIO & account management. Today: Gather data from every tool for each QBR. With Control Center: The QBR drafted from live data in minutes (on-demand report). Today: Build roadmaps and budgets in spreadsheets. With Control Center: A priced roadmap and budget for every client (on-demand report). Today: Explain risk in technical terms. With Control Center: Explain it in the client’s business terms (mcp). Ask it: "What should Northbridge budget for next year, and what does each item protect?" Centralized services. Today: Rebuild the same automation for each client. With Control Center: Build it once, publish it to every client (automated). Today: Write and test scripts tenant by tenant. With Control Center: Scripts drafted by your AI, tested on live data (mcp). Today: Piece together what ran where. With Control Center: Every run logged, with its cost (on-demand report). Ask it: "Draft a script that clears stuck print queues on every client’s file servers." Professional services. Today: Discover scope on the clock. With Control Center: Scope from the documented business, before the SOW (mcp). Today: Specify the build twice. With Control Center: Build from the approved blueprint (automated). Today: Find the project margin after the fact. With Control Center: Cost and margin known before you quote (on-demand report). Ask it: "Which systems does Northbridge’s claims team use, and who owns each one?" Sales & marketing. Today: Pitch projects one at a time. With Control Center: A queue of priced AI opportunities across every client (on-demand report). Today: Pitch AI in general terms. With Control Center: Pitch from each client’s own documented business (mcp). Today: Write every proposal from scratch. With Control Center: Proposals built from the client’s roadmap (automated). Ask it: "Which clients are ready for an AI automation proposal this quarter?" Compliance & risk. Today: Can’t say what the AI touched. With Control Center: Every run logged: what ran, what it cost, who approved it (on-demand report). Today: An AI policy written once and never checked. With Control Center: The AI policy applied and monitored for every client (automated). Today: Weeks of audit prep. With Control Center: Audit evidence on demand (on-demand report). Ask it: "Show every AI action on Northbridge’s data this month, and who approved it." Finance & accounting. Today: AI usage costs show up as a surprise. With Control Center: Every run metered and priced (automated). Today: Margin found at year end. With Control Center: Margin per client and per workflow, every month (on-demand report). Today: Invoices built by hand. With Control Center: Invoice lines sync to your PSA (automated). Ask it: "What was our AI margin by client last month?" Why us ## Why not just use…? Everything else does part of the job. We haven’t found anything that does all of it, or anything built only for MSPs. Compared by category. AI assistants give faster answers but nothing to sell. Automation platforms run workflows but don't find, value, price or bill them. AI features in a PSA or RMM help inside that one tool. Building it yourself means five products to build and keep running. Control Center finds the AI work at each client, values and prices it at your margin, builds and runs it in every client's tenant, meters every run and bills it through your PSA, connects your team's AI to every client and tool, and is built only for MSPs. ### Why not just give our team an AI assistant? Keep it, and connect it to Control Center. On its own, an assistant makes your team faster. It doesn’t give you anything to sell, price or bill. ### Why not an automation platform? It runs workflows. It doesn’t find the work at each client, put a value on it, price it or bill it. That’s most of the job. ### Why not the AI features in our PSA or RMM? They work inside that one tool. Control Center works across all of your tools, adds each client’s business context and turns the result into a service you bill. ### Why not hire an AI consultant? A consultant bills hours and leaves with the knowledge. Control Center keeps the work inside your MSP, priced and recurring, for every client. ### Why not build it ourselves? You’d be building five products and a spreadsheet to hold them together. We know, because we did it first. Ours is $1,750 a month, and the first 90 days cost nothing. Built for MSPs ## One industry. One customer. One purpose. Control Center is built only for MSPs, by MSP operators, to help you succeed and scale. Nothing in it was built for anyone else. The numbers you run your MSP on MRR AI managed services on every client Gross margin Every service priced at the margin you set Endpoints per tech Your team’s AI on every client and tool Cost per endpoint Less labor in every ticket, alert and report Revenue per employee More revenue from the same team What a buyer pays More recurring profit, which is what buyers pay for [Score my MSP on these numbers](https://www.resultsiq.ai/score/) Only for MSPs - We sell only to MSPs. Never to your clients. The client relationship is yours. - Your own AI account and keys. We take no spread on your AI spend. - Your data stays yours. Yours and your clients’, whether you stay or not. - Every AI run is metered and logged. What ran, what it cost, who approved it. - SOC 2 Type I in progress. Target Q1 2027. [Where we stand](https://www.resultsiq.ai/security/) 90 days ## Start ROI positive. First 90 days, no cost. Run it in your own MSP first. You’re ROI positive before you pay us anything. [Book a call](https://www.resultsiq.ai/demo/?src=home) [Join the waitlist](https://www.resultsiq.ai/waitlist/) You won’t need a card, a contract or a procurement cycle.