AI Agents

Autonomous agents that take action across your tools.

The problem we solve

Autonomous AI agents that take action across your stack — researching, qualifying, drafting, updating CRMs, and routing work. Agents are scoped to specific outcomes, with approval steps and audit trails so your team stays in control.

We build agents that compose tools, follow business rules, and degrade gracefully when something looks off.

Example outcomes

  • Lead research and enrichment before a rep ever opens the record
  • Inbox/CRM agents that propose drafts for human review
  • Operations agents that monitor systems and act on rules
  • Knowledge agents that answer with citations from your docs
  • Recruiting agents that screen, rank, and draft outreach
  • Approval workflows for any agent-initiated action

Outcomes vary by workflow, tools, data quality, and scope.

Integration-ready

OpenAIClaude (Anthropic)Gemini (Google)HubSpotSalesforceSlackTeamsMicrosoft 365Google WorkspaceREST & GraphQL APIs

FAQ

How autonomous can the agents be?

As much or as little as you want. We design approval gates around every action that touches money, customers, or production systems.

What if the agent makes a mistake?

Every step is logged, every action reversible where possible, and humans review high-stakes outputs before they ship.

Can it use my private data?

Yes — agents ground answers and actions in your data with retrieval, scoped permissions, and audit trails.

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