AI lead intake that turns every enquiry into owned work.

Start with the intake contract

Before choosing a model, we define the fields that make an enquiry actionable: service or project type, location, urgency, budget context, requested timeline, source and responsible owner. The exact schema is agreed with the team that will use it.

Forms, e-mail and other approved channels feed the same contract. Missing information stays visibly missing; the system does not guess a budget or deadline simply to complete a row.

Classify, score and route with review

AI extracts a concise summary and applies the qualification rules you approve. A score is useful only when its reasons are visible, so the record includes the matched criteria and any uncertainty flag.

High-confidence routine cases can be routed to a queue. Ambiguous, sensitive or high-value cases are marked for human review. This keeps automation fast without pretending every message is clear.

A deliverable your team owns

The output can create a contact, deal and note in HubSpot, add a row to Google Sheets and notify the responsible person. Each integration is tested with representative examples and a retry path for failures.

A first channel is usually built and calibrated in two to three weeks. The acceptance test is operational: can the team see every enquiry, understand the classification and identify the next owner?

Frequently asked questions