Co-Worker
AI-powered sales intelligence system that turns daily signals into account insights, prioritization, and actionable outreach workflows.
An AI-powered sales intelligence system that turns daily industry signals into summaries, prioritization, account context, and seller-ready workflows.
Overview
Co-Worker is an AI-powered sales intelligence cockpit built to turn daily industry and account signals into practical outputs for account teams. It ingests recurring news and market signals, analyzes them with local LLMs, and surfaces summaries, trend comparisons, account matches, prioritization cues, outreach angles, and talking points through a workflow-oriented interface.
Problem
Industry news, account context, and technical signals are often scattered across tools and tabs, making it difficult to quickly understand what matters, compare trends, prioritize accounts, and prepare useful outreach or strategy conversations.
Architecture
Industry / Account Signals
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Signal Processing Layer
normalization • context assembly • structured inputs
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Analysis Engine
summaries • matching • prioritization • outreach angles
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Actionable insights Workflow outputs
trend comparisons account views
talking points seller-ready recommendations
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Web Application UI
dashboards • workflow views • decision support
Signal Inputs
Processing Layer
Analysis Engine
Output Surfaces
Co-Worker system flow from daily signal ingestion to AI-assisted sales outputs.
Implementation
Co-Worker is implemented as a full-stack React and Node/Express platform with Dockerized services and local LLM support through Ollama. Daily signal ingestion feeds workflow-oriented UI surfaces for summaries, account matching, prioritization, talking points, solution sizing, and win-story support.
Capabilities
- Daily signal summaries and trend comparisons
- Account matching and prioritization
- Outreach angles and talking points
- Solution sizing workflow UI
- Account intelligence dashboard
- Win tracking and storytelling system
Outcome
Co-Worker transforms raw market and account signals into structured, seller-ready outputs that support prioritization, outreach planning, and account action.
What’s Next
- Expanded signal ingestion sources
- Sharper account matching logic
- More refined outreach workflows
- Read-only public-safe demo mode
Media / Visuals
