Building AI Coworkers for Enterprise Teams

Mint co-founder and CEO JQ describes how the company builds AI agents that work alongside employees in Slack and connect to business systems. The discussion covers practical use cases and the identity, permissions, monitoring, and memory questions that arise as organizations deploy more agents.

■ Agent use cases and architecture
- How agents support sales, marketing, engineering, procurement, and customer service, with examples from Mint and its customers.
- The shift from individual AI chats to shared agent workflows in Slack, including agent collaboration and human review.
■ Enterprise controls and deployment
- Agent identities, delegated credentials, access policies, tool and data restrictions, audit trails, and sandboxed environments.
- Open questions around dynamic permissions and access to agent memory, including considerations for regulated industries.

For enterprise leaders, developers, and security teams exploring workplace agents, this offers a grounded overview of deployment patterns and governance challenges. Use the examples to identify a bounded workflow to pilot, then define its permissions, human approvals, and audit requirements before expanding access.