Resolve · Verify · Close
AI Autonomous Remediation Agent
The model defines a resolution plan, verification steps and closure notes for each ticket type. In the launch, Claudia runs the fix only after your technician approves it.
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Claudia is invite-only for a limited supervised launch. Starting with Autotask + Datto RMM and ConnectWise PSA + ConnectWise Automate.
Claudia’s AI agents resolve tickets end to end: they ask the right questions, get your technician’s approval, fix the problem, document it and close the ticket. Each pilot's capabilities and endpoint scope are agreed with your team.
Stage 4 of the 5 service-desk stages · The problem
The answer is usually somewhere in your last five years of tickets or your IT Glue. Finding it costs more than writing it again from scratch, so nobody looks — and the write-up never happens.
The model's responsibilities
The Resolution role in the model
These capabilities describe the broader operating model. In the limited launch, Claudia resolves the agreed ticket types end to end, with your technician's approval.
The resolution plan, step by step
Uses the model-defined checklist and its verification steps as a reference. For a launch workflow, your team reviews the script and permitted endpoint scope, then checks the actual RMM result.
Grounded in your own history
Reasons from your closed tickets, your knowledge base and the model's resolution steps, so the first suggestion comes from work your desk has already done.
Closure documentation, written from the work done
Validates first-contact resolution and writes the client-facing closure notes — documentation as an output of the fix, not a separate job someone forgets.
What it writes back
Closure documentation, from the work done
An illustrative model output: closure notes and a template-shaped write-up from the ticket, technician's note and asset record. This screen is not a recorded execution or evidence of a completed fix.
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The guide · 10 pages · PDF
Graduated autonomy: the MSP owner's guide to L0 to L4
How a desk raises an agent from advisory to supervised on evidence, and never past a human by default.
The rest of the line-up
It hands off to the others
Each agent owns a stage of the ticket lifecycle and passes the work on.
- Deflect · CollectAI Client ConciergeThe model defines a client-facing stage for password-reset guidance, ticket status, guided setup and collecting the detail the service desk needs. Pilot capabilities are agreed separately.
- Verify · Classify · PrioritiseAI Intake & Triage AgentThe model defines an intake stage that matches requests to ticket types and proposes priority against the client's SLA. The current launch is supervised and scoped with your team.
- Route · Pre-flightAI Dispatch & Scheduling AgentThe model defines assignment recommendations using skill, tier fit, pod load and calendar availability, with supporting rationale and access checks. Pilot capabilities are agreed separately.
- Watch · AlertAI Service Desk WatchdogThe model defines a watchdog stage for SLA monitoring, client follow-up and breach-risk alerts. These responsibilities describe the broader model; pilot capabilities are agreed separately.
Discuss a supervised workflow for your desk
Claudia is invite-only for a limited supervised launch. Invited MSPs receive a 30-day free trial in an agreed test or pilot environment — no card, and no onboarding fee. Scope is confirmed before access.