Inquerio AI
Triggers

Kick off a question from any other system.

Inquerio AI gives you a webhook URL. Anything that can call a URL can ask a question and receive a structured answer. Attach a file, pass parameters, and get a result you can act on.

Trigger setup

A URL, a question, and an audit trail.

Each trigger has its own credential, expected payload, and history of every fire.

app.inquerio.ai
Trigger configuration: a webhook endpoint with API-key auth, the prompt template that runs on every fire, request format, and response schema documented inline.
What this enables

Three patterns we see in nearly every customer.

A CRM update

An opportunity moves to closed-won.

Inquerio AI assembles the customer's full status across CRM, billing, support, and ticketing, and posts it back to the deal record as the closing context.

A form submission

A prospect fills in a website form.

Inquerio AI checks every system the customer touches and returns the right next step, with sources, before the form's confirmation page renders.

An incident

A monitoring tool fires an alert.

Inquerio AI looks up every customer affected, every open ticket, and every active SLA and posts the picture into the on-call channel.

Attach files at trigger time

A trigger can carry a document with it.

Drop a PDF, a spreadsheet, or a Word document into the trigger call. Inquerio AI extracts the text and uses it as context for the question. The file lives in the call: it isn't stored, isn't indexed, and isn't kept after the answer comes back.

That makes whole categories of workflow into a single call:

  • A new contract is uploaded. Inquerio AI compares the contracts to those already on file and flags differences.
  • A supplier sends an invoice as a PDF. Inquerio AI matches it to the open POs and returns the right approver.
  • A spreadsheet of new SKUs lands in a shared folder. Inquerio AI reads it and tells you which already exist in the catalog.
Pass data without losing safety

User-supplied content is sanitized before it ever sees a model.

Anything an external system passes into Inquerio AI (a body, a file, a parameter) goes through prompt-injection sanitization before it becomes part of the question. The trigger surface is designed to be safe to expose.

Authenticated by default

Every trigger requires a credential. Triggers can be revoked, rotated, or scoped per integration.

Files extracted, not stored

Attached PDFs, spreadsheets, and Word documents are extracted at call time and discarded after the answer. Nothing lingers.

Inputs sanitized

User-supplied text goes through a sanitizer that strips known prompt-injection patterns before it's passed to the language model.

Audited end-to-end

Every trigger fire is in the audit log: who triggered it, what was asked, what was returned, which model answered, and whether a configured override fell back to a default. Compliance can replay any decision.

A model per trigger

Pick the language model that fits each workflow.

Triggers do not have to share one brain. A privacy-sensitive trigger can run on a local model. A high-stakes one can run on the most capable cloud model. Each trigger holds its own choice.

Per-trigger model selection

Each trigger can override the tenant default with its own language model: a locally hosted model for the trigger that handles HR data, a top-tier cloud model for the one that drafts customer communications. The picker reaches every model your account has access to.

Predictable, with an honest fallback

If the configured model is unavailable when a trigger fires, Inquerio AI falls back to the tenant default and records it. The audit trail shows the model that actually answered, every time.

A webhook URL away from a smarter workflow.

Bring a workflow that needs a question answered mid-flight. We'll wire up a trigger and show the answer returned in real time.

Let's see your systems answer back.

Tell us about your stack. We respond within one working day.

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