LLM APIs
Lead classification and summarization where judgment adds value.
A lead-operations workflow that uses AI where judgment helps and deterministic automation where reliability matters.
The workflow qualifies inbound leads, enriches context and routes next actions while keeping the operational path visible to the team.
AI handles classification and summarization; hard business rules remain explicit, testable and easy to override.
The stack is documented here so the case study explains how the work was delivered — not only what it looked like.
Lead classification and summarization where judgment adds value.
Observable workflow orchestration across business systems.
Custom transformation, validation and integration logic.
Lead ownership, routing and status changes synchronized with the CRM.
Event-driven handoffs keep the workflow responsive and auditable.
Tools are selected around the brief, maintainability, performance and the client team.
A case study should show the thinking between the brief and the final interface — not only the polished screens.
Every inbound enquiry required manual reading, qualification and routing before the team could respond, creating avoidable delay and inconsistent follow-up.
AI handles summarization and classification while deterministic rules control routing, status changes and fallbacks. Human override stays visible at every important decision.
The experience connects capture, enrichment, qualification, routing and CRM updates into one auditable automation path.
An automation system where AI is useful because the rules, fallbacks and ownership stay clear.
Tell us what you are building, what is getting in the way and where you want it to go.
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