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.
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VPN down after site firewall change
Retrieval context
A three-stage rollout that builds trust before handing over the desk — so automation arrives proven, not assumed.
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.
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.
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.
Dedicated knowledge where it matters, shared learning where it helps — with SLAs and reporting that keep the whole operation visible.
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.
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
See how the desk is performing across customers and sites — enough oversight to manage the whole operation without losing the precision each account needs.
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.
This one proves itself in shadow first — before it ever touches a live ticket.
Tell us how tickets enter your operation today and what earning trust before automation would look like for your team.