Projects
GTM operations that run themselves
Agents, automations, and infrastructure that make revenue organizations run with less manual work and better information. Built on a decade of revenue operations, delivered AI-native.
SPEED TO LEAD
Inbound Engine
Problem. Leads wait hours for a reply that should take seconds.
System. Every inbound lead enriched, scored against ICP, routed by territory and capacity, and answered with a relevant first touch in under a minute. Full logging and fallbacks, no lead leaks.
- Clay
- Salesforce
- n8n
- Claude
PIPELINE INTELLIGENCE
Pipeline Inspection Agent
Problem. Forecast calls run on stale fields and rep memory.
System. An agent reviews every open deal continuously: stalled opportunities, missing information, risk signals, and the next action, delivered to owners in Slack. Forecast rollups come from live data, not a Friday spreadsheet ritual.
- Salesforce
- Claude
- Slack
OUTBOUND
Signal-Driven Outbound System
Problem. Outbound lists built by hand from stale exports, personalization by template.
System. Hiring posts, funding events, tech-stack changes, and product signals feed automated list building. An agent researches each account and drafts grounded, specific outreach. Humans approve what goes out.
- Clay
- Apollo
- Claude
- Outreach
DATA QUALITY
A CRM That Updates Itself
Problem. Nobody trusts the CRM, so nobody updates it. The loop feeds itself.
System. Call recordings and email threads become structured field updates automatically. Hygiene agents catch stale, missing, and duplicate records on a schedule, with an audit trail on every write.
- Salesforce
- Gong
- Claude
- n8n
ACCOUNT RESEARCH
Account Research Agent
Problem. Reps spend the first hour of every deal googling.
System. Before the first touch, an agent researches the account across public and internal sources and writes a cited, structured brief into the CRM. Every conversation starts informed.
- Claude
- CRM
- Enrichment APIs
REVENUE INTELLIGENCE
AI Reporting and Board Narratives
Problem. Leadership sees the pipeline three weeks late, through a filter of manual decks.
System. Live GTM data becomes executive dashboards and written narratives: performance, forecast risk, and the story behind the numbers, generated continuously and reviewed by a human before it ships.
- Salesforce
- Claude
- n8n
- BI