AI Agents · Workflow Platform

Managed AI agent workflows with human-in-the-loop governance.

Autonomous workflows designed by job role, with Mission Control for approvals, usage limits, and full auditability.

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The problem

Most AI solutions for businesses fall into two traps: generic chatbots that hallucinate or DIY agent platforms that require non-technical teams to spend weeks babysitting complex prompt graphs. When businesses try to deploy autonomous agents, they lack transparency, risk accidental runaway API costs, and have no audit trail for sensitive customer-facing decisions.

What we built

A product-led platform combining managed setup with dedicated AgentOps software. Businesses "hire" specialized agents for defined roles (outreach, support triage, data reconciliation, lead enrichment) that plug directly into their existing tools with strict human-in-the-loop guardrails.

  • Mission Control panel for live approval queues, escalation management, and audit logs
  • Role-based agents equipped with specific tools, schema validators, and guardrails
  • Human-in-the-loop review for sensitive actions (sending client emails, financial operations)
  • Predictable cost structure with hard fair-use caps — preventing unexpected token overages
  • Seamless integration with existing business stacks: email, CRM, calendar, spreadsheets, and webhooks
  • Complete event ingestion and operational observability dashboard

The interesting part

Enterprise-grade AI adoption isn't about raw model intelligence — it is about reliability, guardrails, and operational trust. By designing human approvals and immutable audit trails as core product features rather than afterthoughts, teams can safely delegate repetitive volume to autonomous agents while maintaining complete oversight over their business outcomes.

Want the numbers? We don't publish invented statistics. Ask us on a call and we'll tell you how this project actually went — including the parts that were hard.

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