Interview

Console raises $23M Series A from DST Global and Thrive Capital to automate enterprise IT support with AI

Sep 16, 2025 with Andrei Serban

Key Points

  • Console raises $23M Series A from DST Global and Thrive Capital to deploy AI agents that resolve 50–60% of IT support requests without human intervention.
  • The startup deploys company-wide in three weeks by sitting in Slack and pulling context from Okta, Google Workspace, and device management tools to route requests intelligently.
  • Console charges a flat per-employee fee rather than usage-based pricing, integrating into existing ticketing systems so IT teams can adopt incrementally without rip-and-replace disruption.
Console raises $23M Series A from DST Global and Thrive Capital to automate enterprise IT support with AI

Summary

Console, an AI-powered enterprise IT support startup, has raised $23M in Series A funding led by DST Global and Thrive Capital. Co-founder Andrei Serban previously ran an application security firm that sold to the US government and Fortune 100 companies.

How it works

Console sits inside Slack and handles first-line IT support. Instead of routing employees through Jira ticket forms, users type requests as if messaging a colleague. The system pulls context from connected tools like Okta, Google Workspace, Slack, and device management platforms, so it already knows the user's role, direct reports, app access, and permissions before processing the request.

IT teams write policies in plain language through playbooks that define conditional logic: if someone requests a password reset, ask this question, then run this action. The agent executes these directly without requiring code conversion. Console resolves 50–60% of incoming requests entirely without human involvement. Requests outside those bounds surface to a human IT staffer with full context pre-loaded, while the end user stays in Slack throughout.

Customers and deployment

Console's customer base includes Ramp, Scale AI, Flock Safety, and Webflow. Scale AI went live company-wide within three weeks, which occurred during the proof-of-concept period itself. The typical sales cycle runs from demo to POC to company-wide deployment in roughly three weeks, with the first week sufficient to reach a production-ready state.

Pricing and positioning

Sales targets heads and directors of IT, who are typically already running internal AI efficiency initiatives. Console charges a flat per-employee, per-month fee that scales down with company size. Andrei explicitly rejects usage-based pricing, arguing that IT budget owners need cost predictability and that credits-based models are difficult to forecast upfront.

Console positions itself as additive rather than a rip-and-replace product. It integrates into existing ticketing tools rather than displacing them, since asking busy IT teams to migrate core systems is impractical. Because the agent absorbs the majority of ticket volume, the existing ticketing infrastructure becomes largely irrelevant to day-to-day experience.

Security

Sensitive actions like password resets, permission changes, and API calls sit behind deterministic, locked-down processes with optional MFA checks and manager approvals. Companies can exclude specific action types entirely if they prefer human handling. Customers can adopt Console incrementally, restricting agent autonomy to whatever threshold their security posture allows.