MSP Helpdesk

A ticketing platform that earns trust before it acts.

Integrates with Microsoft 365 via Microsoft Graph, plus the major ticketing platforms you already run — so it sits inside your stack instead of forcing a migration.

Confidence before control

A three-stage rollout that builds trust before handing over the desk — so automation arrives proven, not assumed.

  1. Learning

    The system leans entirely on your human agents. It observes real resolutions, real corrections, and real judgment calls — building understanding from how your team actually works, not a generic template.

  2. Shadow

    It starts making decisions — routing, prioritizing, drafting responses — but takes zero real action. Your team sees what it would have done, corrects it when it's off, and it keeps refining. All the visibility, none of the risk.

  3. Implementation

    Only after proving itself across both prior phases does it start acting on tickets for real — routing, resolving, and responding with the confidence it earned.

How agents work a ticket

A ticket arrives, the right customer context is retrieved, triage scores who should take it, and the reply comes prefilled. This runs on a loop — no clicking required.

IntakeIngest and queue

A mailbox ticket lands, SLA starts, filters keep the queue honest

Tickets

3 match your filters

Ingesting from Microsoft 365 mailbox
Search subject or sender…Breached onlyHide noiseEmailPRTGHigh
RefSubjectSLA
  • HD-1839Printer offline · Warehouse B4h 12m
  • HD-1840MFA prompt loop on laptop1h 46m
  • HD-1841Disk space warning · SRV-APP0252m
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Watch the full walkthrough

Twelve steps, from ingest through pattern detection to shadow learning. Synthetic UI — no live customer data.

Precision per account. Oversight across the desk.

Dedicated knowledge where it matters, shared learning where it helps — with SLAs and reporting that keep the whole operation visible.

Knowledge that matches how MSPs work

Every customer — and every site within that customer — gets its own dedicated knowledge base, so site-specific quirks are captured precisely. A global knowledge layer lets the system learn patterns across your entire customer base at the same time.

  • Per-customer knowledge
  • Site-scoped detail
  • Global pattern layer
  • Resolution feedback loop

Customer-specific SLAs

Set policies that reflect each account’s commitments — business hours, pause and resume, and breach detection — so urgency matches the contract, not a one-size clock.

Amber reserved for time pressure

Built-in reporting

See how the desk is performing across customers and sites — enough oversight to manage the whole operation without losing the precision each account needs.

Sits inside your existing stack

Connect Microsoft 365 through Microsoft Graph, and integrate with the major ticketing platforms you already run. No forced migration — the platform works alongside the tools your team already trusts.

Most platforms ask you to trust the AI on day one.

This one proves itself in shadow first — before it ever touches a live ticket.

Talk to us about your desk

Tell us how tickets enter your operation today and what earning trust before automation would look like for your team.

No public inbox on this site — messages go through this form to our team.

  • Built for MSP owners evaluating a serious helpdesk platform
  • Happy to discuss Microsoft 365, major ticketing platforms, or hybrid inbound
  • Demo and deployment details by conversation