Slack Integration for AI Agents
Put AI agents in Slack through a governed path. Agents answer from approved sources and act on requests, with responses validated, PII masked, and a clean handoff to a person, and every message logged.
- Least-privilege access
- Human approval on writes
- Zero data retention
- Full audit trail
The ungoverned risk
A bot in Slack with broad access is a fast way to leak data to the wrong channel or act on an injected instruction. Slack is where people move quickly, which is exactly where an ungoverned agent does the most damage.
What governed agents do
CreateOS routes Slack interactions through the governed layer. Agents answer questions from approved sources, trigger governed workflows, and respond in channel, with output validation and PII masking before anything posts, and a clean handoff when a person should take over.
What Agents Do in Slack
Every action is scoped to least privilege, validated, and logged. Anything that changes a record waits for a person.
Runs on the Unified AI Execution Layer
Channel and data access is scoped per agent, every response is validated and PII-masked before it posts, prompt-injection checks run on inbound requests, and every interaction is logged.
Common Questions
How do you stop an agent from leaking data in Slack?
Responses are validated and PII-masked before they post, channel and data access is scoped per agent, and prompt-injection checks run on inbound messages so an agent cannot be talked into oversharing.
Can the agent take actions, or just chat?
Agents can trigger governed workflows from a Slack request, but those actions run through the same policy and approval gates as anywhere else, and each is logged.
What happens when the agent should not answer?
It hands off to a person cleanly rather than guessing. Autonomy thresholds decide when an agent answers, suggests, or escalates.
