MSPs are adding AI to their PSAs by connecting them to MCP-capable AI clients (Claude, ChatGPT, Copilot, or whichever your team uses) through an MCP gateway. The gateway handles authentication, permissions, and access control, so your AI can log in, look up ticket data, and take real actions inside your PSA without a custom integration.

This works today for Autotask, ConnectWise PSA, and HaloPSA. Each one has a live MCP integration through Conduit, which means the wiring is already done. What's left is deciding which workflows you want to run first.

What AI in Autotask Looks Like

Autotask has one of the deepest MCP integrations in Conduit's library, with 15 skills spanning tickets, contracts, projects, CRM, and billing. In practice, that means your team can ask an AI things like:

• "Show me every open P1 ticket for Acme Corp and the last note on each."
• "Triage the overnight queue and post a summary to Slack."
• "Which contracts are up for renewal in the next 90 days?"
• "Pull the ticket volume and SLA performance for last quarter, by client."

None of those require a custom script, a dedicated Autotask developer, or an API project. They're prompts. The MCP layer handles the translation between what you asked and what Autotask needs to hear.

The overnight triage example is worth flagging specifically. When it's set up as a scheduled agent, it runs on its own every hour, tags priorities in the queue, and posts a summary to Slack. Your team walks in Monday morning to a queue that's already sorted.

What AI in ConnectWise PSA Looks Like

ConnectWise PSA (also known as ConnectWise Manage) covers the same core surface: service tickets, agreements, projects, and billing. The MCP integration means the same kinds of questions work here too:

• "What's the status of the project for our biggest client?"
• "Which agreements are approaching their block-hour caps?"
• "Show me every ticket assigned to Sarah that's past SLA."
• "Pull the last 30 days of billable time by technician."

One thing MSPs often notice within their first week: the questions their team asks the AI reveal which reports were painful enough that people just stopped running them. When "show me the numbers on X" takes 10 seconds instead of an hour, the reports start happening again.

What AI in HaloPSA Looks Like

HaloPSA has been one of the fastest-moving PSAs in the MSP space, and its MCP integration through Conduit reflects that. Tickets, clients, assets, and invoicing are all reachable from your AI client.

Some things HaloPSA users have been asking their AI:

• "Create a ticket for Acme Corp, mark it critical, and assign it to the on-call tech."
• "Which invoices are overdue by more than 30 days?"
• "Show me the asset history for this workstation."
• "What's changed in the client's environment this week?"

If you're a HaloPSA shop, the Conduit integration is listed on Halo's own integrations page. That listing is one of Conduit's highest-quality inbound signals, which tends to mean HaloPSA users find the setup path faster than most.

What's the Same Across All Three

Regardless of which PSA you're running, three things stay consistent:

• You use the AI client your team already knows. Claude, ChatGPT, Copilot, Cursor: whichever tool your team is already comfortable with, that's what talks to your PSA.
• You control what the AI is allowed to do. Access is granted tool by tool, with each client kept separate and every action logged. Your dispatcher can read tickets; your senior tech can also close them. You decide.
• You don't have to build anything. The integration is already written. Setup is a matter of connecting your PSA to Conduit and pointing your AI client at the gateway.

Where to Start

The best first workflow is almost always the one you already dread doing manually. For most MSPs, that's morning ticket triage. It happens every day, it eats time, and the shape of the work is predictable enough that AI can handle the first pass while your techs handle the calls that need actual human judgment.

Once triage is running, the next natural steps tend to be QBR prep (pulling data from your PSA plus your RMM and security stack into a client-ready pack) and contract renewal tracking (surfacing renewals before they slip). Both are covered.

If you want to see the full list of what's supported in your PSA, browse the plugin library.