Decision layers
Repeat judgments on replies, stop requests and duplicate records, each with a measured threshold.
Enquirer helps companies decide where AI belongs in their sales and operations work, then builds it into the systems their teams already use.
Sales teams make the same small judgments many times a week. Whether a reply came from a person or a machine, whether it shows interest, whether someone has asked to stop, whether two records are the same company.
Enquirer builds a decision layer that makes each of those calls the same way every time. Each call carries a confidence score. The layer acts only above a threshold measured on the client's own records, and everything below it goes to a queue a person works.
The layer reads and judges. It never sends a message, never merges or deletes a record on its own, and never writes to a CRM without a person's approval. A buying signal always reaches a person.
The work starts with where AI belongs and where it does not. Where replies are handled well and the CRM is clean, the layer is left out.
Repeat judgments on replies, stop requests and duplicate records, each with a measured threshold.
An assistant for one role, connected to a team's own CRM and outreach data.
Daily scores on accounts and contacts, drawn from real conversations, visits and quotes.
A check of every company by what it actually does before a list is used.
Enquirer built a private AI workspace for a Digica sales leader, connected to the CRM and outreach data.
Enquirer built a rating engine that scores every account and contact each morning, so a rep can tell a live account from a dead one.
A self-reported industry filter had put restaurants and banks into a pharma list, so Enquirer added a check of every company by what it actually does.
Enquirer built a phone line and app where reps speak their visit notes, each written back into the CRM as a completed task.
For work on AI strategy and adoption, contact the team.
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