.ai_agents
Agents that understand the request, choose tools, act, and return proof.
Sales, revenue, customer ops, reporting, CRM, internal tools. When that work gets patched with spreadsheets and manual steps, growth creates more coordination instead of more output.
AI agents
Most AI tools give you another answer to copy somewhere. That is not what busy teams need.
The agent should open the right system, check the context, update the record, draft the handoff, and show exactly what changed.
Request
Find the stalled client accounts, update what you can, draft the follow-ups, and show me what needs approval.
What gets built
Agents that understand the request, choose tools, act, and return proof.
CRM workflows, handoffs, pipeline visibility, reporting, and data quality.
Tools for work that off-the-shelf products do not fit.
Context moves between tools without a person copying it.
Experience
Evergrowth
AI agents and automation inside real customer and GTM workflows.
GrowSurely
CRM workflows, enrichment, automation, and data quality.
Before that
Clay, Apollo, HubSpot, Smartlead, Instantly, CRM data, and messy workflows.
How it works
Map the workflow.
Find the repeat work that keeps needing a person.
Build the first working system.
Make it reliable enough for the team to stop thinking about it.
If the same task keeps coming back to a spreadsheet, an inbox, a CRM note, or one person's memory, that is the place to turn into a system.