Slackbot enterprise AI agent enters workplace

Slack has introduced a reimagined Slackbot positioned as an enterprise AI agent for work, forming a central part of its Agentforce 360 vision. The announcement was made at Dreamforce and focuses on addressing long-standing challenges in enterprise AI adoption, including fragmented tools, lack of context, and trust concerns.

The approach centres on using Slack as the conversational interface where people and AI agents work together, connecting knowledge, actions, and data in real time.

From personal AI to workplace intelligence

While AI tools have become commonplace in personal use, Slack argues that enterprise environments demand a different approach. Workplace AI must operate with context, understand organisational data, respect permissions, and integrate naturally into how people already work.

The Slackbot enterprise AI agent is designed to work directly within Slack, using existing conversations, files, channels, and organisational metadata. It does not require separate installation or training and operates within established access controls.

Slackbot as a personal agent for work

Slackbot is positioned as a personal agent available to every employee. It can help users find information, organise work, create content, schedule meetings, and take action without leaving Slack. The system starts with the context employees already have and builds on the tools they already use.

Over time, Slackbot is expected to become the primary interface for working with Agentforce and third-party agents, orchestrating workflows and triggering actions across systems based on conversational input.

Trust and context as core requirements

A central theme of the announcement is trust. Slack emphasises that enterprise AI adoption depends on agents understanding context while respecting permissions and data boundaries.

Slackbot operates within the same security, compliance, and access frameworks as Slack itself. It only surfaces information users are authorised to see, and interactions remain private. This built-in context is intended to reduce inaccuracies and improve relevance compared with standalone AI tools.

Connecting conversation with customer data

Slackbot is designed to work with Salesforce data alongside Slack conversations and files. This allows it to support tasks such as meeting preparation, account reviews, and decision-making by combining conversational context with customer and business data.

Before customer interactions, Slackbot can compile recent discussions, relevant documents, and customer history into a single briefing, turning dispersed information into shared context.

Availability and rollout

The new Slackbot is generally available for Business+ and Enterprise+ customers, with a phased rollout beginning in January 2026 and continuing through February. Enterprise administrators can manage access permissions during the rollout period.

Slack describes this launch as a step toward an agentic way of working, where people and AI agents collaborate directly within the flow of work rather than across disconnected tools.