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Scoring · routing

Lead Qualification

Every inbound enquiry is scored with evidence, checked by deterministic rules and routed: full offer, starter, needs info, review or reject.

The problem

Enquiries arrive from forms, email and calls, mixed with spam and tyre-kickers. Answering all of them by hand is slow, and an LLM that "just decides" can't be audited and can be talked into anything.

What we build

  • Leads from your contact forms, forwarded email, website chat, Telegram, calls or an n8n webhook, all scored the same way.
  • An LLM that rates fit, budget clarity, urgency, authority and scope, quoting the lead's own words as evidence.
  • Code that extracts budget, currency and timeline ("ASAP", "next quarter", "before Christmas") instead of trusting the model.
  • A rules gate that decides the route, a reply drafted from your templates, and alerts (Telegram, Slack, email) for the leads worth your time.
  • One inbox to reply from, plus a signed webhook into your CRM or a Google Sheet.

Guardrails

  • The model scores; code decides. Even a model fooled into giving a score of 100 can't pass the gate.
  • Spam and injection are detected deterministically and never get a sales reply.
  • Replies never invent prices, dates, availability or promises.
  • Every decision is written to an audit log with reason codes.

Other modules

See them run on real data.

The apps run real models on every click, so they sit behind a password. Ask for a login or a guided walkthrough: talk to our AI receptionist in Front Desk, drop invoices into Docket, or load forged applicants into Dossier. Or try them in public: score a lead, read your invoice, forge an applicant, or connect Docket and Dossier to Claude. Or hire us to build yours.