AI-Driven Lead Scoring & Prioritisation System
Designing a scoring system to prioritise leads based on real behavioural and operational signals.
LIVE SIGNAL · V1.0 · PROD
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In plain English
I helped turn a messy operational workflow into a clearer system, making it easier for the team to manage data, reduce manual work, and support daily business operations.
Business value
- Less manual work
- Clearer data flow
- Better operational visibility
- Easier maintenance
- Role
- Full Stack Owner / System Design
- Design · Build · Ship
- Timeframe
- 2026 – Present
- Domain
- Sales / CRM Systems
- Category
- AI Systems
Context
The system handled a large volume of incoming leads, but teams lacked a structured way to determine which leads were more valuable or time-sensitive.
This resulted in inconsistent prioritisation and inefficiencies in follow-up processes.
The Problem
The goal was to design a scoring system that could combine structured data (fields, activity, metadata) with unstructured inputs (notes, interactions) while keeping results explainable and consistent.
Key challenges: • Balancing automated scoring with transparency • Handling incomplete or inconsistent data • Avoiding over-reliance on AI outputs • Integrating scoring into existing workflows without disruption
System design
I designed a hybrid scoring system where deterministic logic handled core scoring factors, while AI-assisted processing extracted signals from unstructured inputs. • Backend handled scoring calculations and data aggregation • AI layer processed qualitative signals (intent, urgency, context) • Results were normalised into a consistent scoring model • Scores were integrated into the CRM for real-time visibility
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Continuous learning + score recalibration
Frontend
Backend
Database
Integrations
Also used
Outcome
- Improved lead prioritisation
- Faster response to high-value leads
- Reduced manual evaluation
- More consistent sales workflow
• Clear prioritisation of leads based on actionable signals • Improved response time for high-value opportunities • Reduced reliance on manual judgement • More structured and predictable sales workflow
Reflection
I would introduce a more modular scoring configuration earlier, allowing non-technical adjustments to scoring rules without requiring code changes.
This would improve flexibility and allow faster iteration as business needs evolve.
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