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Case study

CentagonAI
What we shipped and why.

A CRM workflow for lead tracking and communication management, designed for teams that need fast follow-up and clear history.

Context

Sales

Published 2026-02-20 · Updated 2026-02-20

In brief

We delivered a CRM workflow designed for speed: lead context, conversation history, and next actions surfaced clearly so teams can follow up without losing the thread.

  • Lead timeline and ownership states
  • Fast scanning UI patterns
  • Industry: Sales
  • Stack: Next.js, Twilio, Pipecat AI
Problem

What needed to change.

Leads were spread across channels, follow-up was inconsistent, and teams lacked a single timeline of conversations and next steps.

Approach

How we approached delivery.

We designed a workflow around speed: capture lead context, track conversation history, and make next actions obvious so teams can respond quickly.

Shipped

What we shipped.

  • Lead timeline views and contact history
  • Workflow states for follow-up and ownership
  • Integrations for communication channels
  • UI patterns built for daily use and quick scanning
Scope notes

How to read this case study.

CRMs succeed when the workflow matches how the team actually sells. We focus on the system design and UX patterns rather than promising conversion lifts.

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FAQs

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