DEPLOYMENT

Voice AI for Workflow Discovery

Client

Internal Product

Product

Atomic Signal

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Overview

Product

Atomic Signal is a conversational voice AI that helps organizations uncover repetitive work, map bottlenecks, and identify automation opportunities. It turns qualitative team interviews into structured, actionable insights — compressing weeks of consulting discovery into short, asynchronous voice conversations.

Capabilities

  • Structured voice interviews with team members
  • AI-powered pattern recognition across conversations
  • Prioritized automation opportunity mapping
  • Estimated time savings and ROI projections

Impact

Discovery in minutes, not weeks

3-minute voice conversations replace lengthy consulting workshops

Scalable across teams

Anyone in the organization can complete a session asynchronously

Data-driven prioritization

AI synthesizes all conversations into a ranked opportunity map

Goals & Challenges

Companies don't know where to start with AI

Most organizations know they should automate, but struggle to identify which workflows would benefit most. Without a structured discovery process, teams default to gut feelings or executive assumptions about where to invest.

Traditional discovery is slow and expensive

Consulting-led workflow audits require weeks of workshops, interviews, and analysis. By the time recommendations arrive, priorities have shifted and momentum is lost.

Frontline knowledge stays trapped

The people who best understand repetitive work — the ones doing it daily — rarely get a voice in automation planning. Their insights are lost in top-down decision making.

The Solution

  1. Conversational voice interviews

    2. Signal conducts structured 3-minute voice conversations with team members, asking targeted questions about their daily workflows, pain points, and repetitive tasks.

  2. Cross-team pattern recognition

    3. AI analyzes all conversations to identify recurring themes, shared bottlenecks, and overlapping manual processes across departments and roles.

  3. Prioritized opportunity mapping

    4. The output is a structured report with ranked automation opportunities, estimated time savings per workflow, and recommended next steps for implementation.

  4. Asynchronous and scalable

    5. No scheduling conflicts, no workshops — team members complete conversations on their own time, and results aggregate automatically as more people participate.

Technical Approach & Challenges

Voice AI Pipeline

  • Real-time speech-to-text with context-aware follow-ups
  • LLM-powered conversation engine that adapts to responses
  • Structured data extraction from unstructured voice input

Analysis Engine

  • Cross-conversation clustering to identify shared pain points
  • Workflow complexity scoring for prioritization
  • Time-savings estimation based on task frequency and duration

Platform

  • Next.js application with real-time voice streaming
  • Secure, per-organization data isolation
  • Exportable reports for stakeholder alignment

Impact & Results

  • Discovery compressed from weeks to hours

    • Organizations can run a full workflow discovery across their team in a single day, without pulling anyone away from their work.

  • Higher quality insights

    • Voice-based conversations surface nuances that surveys and forms miss — tone, hesitation, and spontaneous detail reveal the real pain points.

  • Actionable automation roadmap

    • Instead of vague recommendations, teams get a prioritized list of specific workflows with estimated impact and clear next steps.

Try Atomic Signal

Run a workflow discovery session — have a 3-minute voice conversation and see the insights AI can surface from your team.

Try Signal →

Ready to start building?

Every engagement starts with an Opportunity Sprint — we define what to build and then we ship it.

Book an Opportunity SprintTalk to the team →