The stack was built for humans
The GTM stack was built for people clicking through screens. The next one will be operated by agents.
When execution moves to agents, GTM starts to look like engineering: logic that lives in files, changes that get reviewed, systems that keep going whether or not anyone is watching. Agents need more than access to tools. They need a system they can operate.
Easy to build. Hard to keep working.
AI made it easy to build GTM workflows. A coding agent will write an enrichment script, a scoring prompt or a routing rule in an afternoon. Keeping them working is the hard part, and a working demo is not production.
Three ways it stops working
- It lives in one head. The rules and the context sit in one session, so it depends on the one person who built it.
- It stops or stalls. Tokens expire, schedules slip, quotas run out. It breaks when a quota, a schedule or an API changes.
- It fails silently. When a lead goes to the wrong rep, nobody can say what changed or why.
The best GTM teams are building this themselves. What they find hard is not building it. It is keeping it working.
Five pillars. One system.
Cargo is GTM infrastructure for coding agents: what they need to build your revenue engine and keep it working in production.
- Unified data and semantic layer. One consistent data foundation across your GTM stack: CRM, warehouse, product, enrichment and signals, with shared identities and definitions.
- Company brain. Shared business context agents reason over: goals, ICP, strategy, policies and playbooks.
- Execution and orchestration. A production runtime for enrichment, scoring, assignment and routing across your tools: schedules, triggers, state, retries and rate limits.
- Observability and governance. Every run visible through logs, traces and spans, with permissions, controls and human review.
- GTM as code. Your GTM logic defined, versioned and managed in git, so coding agents can keep building and improving it. Build, review, deploy, improve.
Reachable from anywhere: MCP, the CLI, Slack and the app. The repo defines it. Cargo runs it.
Systems that improve
Automation scales execution. Improvement compounds.
Everyone can build workflows now. The teams that win will be the ones whose systems learn from outcomes and get better faster than anyone else's.
In production today, agents run the workflows and propose changes as reviewable diffs. People approve, Cargo deploys, and every run is traced. Sense, decide, act, improve: each approved change becomes the next version.
Agents operate it. Humans govern it.
Approval belongs where judgment matters, not on every action. Autonomy is earned workflow by workflow: proven workflows come to run by exception, and systems learn to evaluate their own outcomes and propose improvements, under guardrails. That is where a self-driving GTM engine comes from.
Build what makes your GTM unique
Not the infrastructure. Building it yourself is possible. The question is what your team should stop building and maintaining: the glue between tools, scheduling, retries and rate limits, run tracing and failure recovery, connector auth and permissions.
Keep your repository, your warehouse and your CRM. Stop maintaining the layer underneath them.
Two ways to build on Cargo
Your coding agents build it on Cargo. Or our team builds, operates and continuously improves it with you. Either way the repo is yours, and the engine keeps working.
