Scoring & Triage Engine

AI Lead Scoring

Enriching, scoring, classifying and routing inbound demand so the right owner receives it with context already attached.

The problem

Inbound enquiries arrive unsorted and are handled in the order they appear. Strong opportunities wait behind weak ones, follow-up depends on whoever is available, and the reasoning behind prioritisation lives in individual judgement rather than in a system.

System architecture

How the system is put together.

  1. Lead
  2. Enrichment
  3. Scoring
  4. Classification
  5. Routing
  6. CRM & action
01

Capture

Inbound demand collected from every channel into one record.

02

Enrichment

Adding the context a person would otherwise look up manually.

03

Scoring

Fit and intent signals combined into a comparable score with stated reasoning.

04

Classification & routing

Category determines the owner, and the owner receives the context with it.

05

CRM & action

The record lands where the follow-up actually happens.

Capabilities

Core capabilities.

  • Data enrichment
  • Scoring models
  • Classification
  • Routing rules
  • CRM integration
  • Explainability

Technical overview

The engineering priority is explainability rather than raw accuracy: a score nobody trusts gets ignored, so the interface always states which signals produced it and allows a human to override the routing. This is an engineering programme; no public demonstration is published yet.

Active engineering programme. No public demonstration is published yet.

Let's engineer what's next.

Have a complex process, digital product or industrial challenge? Let’s discuss the system behind it.