AI-Native GTM Infrastructure
A growing catalog of AI agents that connect to your existing stack and do the work your team is doing manually, slowly, or not at all.
The Problem
Intent signals, engagement patterns, pipeline movement, competitive shifts, customer health indicators. It all exists, scattered across a dozen tools that don't talk to each other. Your team compensates with gut feel, manual reporting, and quarterly reviews of numbers that were already stale when they were pulled. The result is a GTM motion that runs on instinct where it should run on evidence.
The Solution
No new platforms. No rip-and-replace. No six-month implementation. Each agent connects directly to your existing tools via MCP (Model Context Protocol), processes signal in real time, and delivers operational intelligence to the people who need it. Your CRM, your analytics, your enrichment tools, your conversation intelligence. Same stack. New capability layer.
Every agent connects via MCP to your CRM, marketing automation, analytics, enrichment tools, conversation intelligence, and billing systems. No custom integrations. No middleware. If your tool has an API, these agents can read from it, write to it, and reason across it.
Every agent downstream depends on clean signal. These ensure your data layer is telling the truth.
Runs continuous hygiene across your CRM: deduplication, field standardization, enrichment validation, and decay detection. Flags records drifting out of spec before they corrupt downstream reporting.
Evaluates whether your current tooling matches your actual GTM motion. Identifies redundant tools, integration gaps, feature overlap, and orphaned licenses nobody is using.
Unifies intent data, engagement signals, product usage patterns, and behavioral indicators across every tool in your stack into a single normalized signal layer that other agents can reason against.
Appends firmographic, technographic, and behavioral data to raw leads in real time. Cross-references multiple enrichment sources and flags conflicts rather than blindly overwriting.
Maps revenue influence across every touch in the buyer journey using multi-touch modeling that accounts for time decay, channel interaction effects, and offline touchpoints. Replaces broken first-touch and last-touch defaults.
Engagement Options
Every engagement starts with understanding what's actually broken. Some teams know exactly which agent they need. Most benefit from the diagnostic first.
A diagnostic engagement that maps your current stack, identifies signal gaps, and produces a prioritized agent deployment roadmap. You'll know exactly which agents will move the needle before you spend a dollar on implementation.
Deploy agents by operational tier. Each bundle includes implementation, configuration to your stack, a 30-day iteration window with defined revision cycles, and quarterly maintenance check-ins to keep agents calibrated as your business evolves.
Know exactly what you need? Deploy a single agent against a specific operational gap. Includes full implementation, stack integration, a 30-day iteration window, and quarterly maintenance.
Start Here
Most teams don't need every agent. They need the right three. The audit tells you which ones will produce the highest return on your specific GTM motion.
Book a GTM Agent Audit