Registration notices landed in spam after SMTP change
After the SMTP cutover, the SPF record still pointed to the old sender. We updated SPF and DKIM, then asked the customer to check spam before resending the registration notice.
Upload an Excel or CSV export from GLPI, Spiceworks, Jira Server, SolarWinds SD, or a homegrown helpdesk. Operators find similar solved cases by meaning, without migrating to a new ticketing system.
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After the SMTP cutover, the SPF record still pointed to the old sender. We updated SPF and DKIM, then asked the customer to check spam before resending the registration notice.
The mail gateway rejected the updated template. We restored the From header, added the address to the allowlist, and resent the notification from the customer profile.
After the SMTP cutover, the SPF record still pointed to the old sender. We updated SPF and DKIM, then asked the customer to check spam before resending the registration notice.
The mail gateway rejected the updated template. We restored the From header, added the address to the allowlist, and resent the notification from the customer profile.
Keyword search misses the right ticket when a customer describes the same incident differently.
Solutions live in old exports, private chats, and the memory of senior agents.
They are slow because they have not seen last year’s similar cases, not because they cannot solve the problem.
Upload Excel or CSV from GLPI, Spiceworks, SolarWinds SD, Jira Server, or a homegrown helpdesk. Columns are mapped during import.
Each ticket gets a semantic fingerprint. Indexing runs in the background inside your organization workspace.
“Customer cannot see payment” finds “paid invoice did not activate service”. Similar solved cases appear in the workflow.
Zendesk and Freshdesk integrations are in development. Early access is available by request.
Your team supports a product and sees recurring incidents described in different words.
You keep ticket history in GLPI, Spiceworks, Jira Server, SolarWinds SD, or a homegrown tool.
You need to reuse solutions across clients while keeping access boundaries and context clear.
If your team has three people and a small ticket volume, you probably do not need this yet. Fix intake and ownership first.
Each company’s imported history is scoped to its own organization workspace.
Ticket history is used for search inside your workspace, not to train shared models.
If data cannot leave your environment, we will review constraints before promising a deployment path.
A pilot can be stopped and imported ticket history removed on request.
For a small team testing search on its own ticket history.
For ongoing support work across multiple agent groups.
For private environments, strict data boundaries, and self-hosted deployments. Pricing depends on infrastructure and imported history volume.
We take an Excel or CSV file and verify which columns matter for the index.
We test real agent questions on your ticket history, not generic demo data.
If it helps, we discuss next steps. If it does not, you still get a clear analysis.
Yes. The demo data is English, and pilots are designed around your actual ticket wording and systems.
A pilot can start with a one-time export. For production, we discuss recurring exports or API import where available.
Yes. A pilot can be stopped and imported history removed on request.