On September 28, 2026, xAI announced Team Bots, a new feature for its Grok Bot platform that allows teams to use shared AI teammates while keeping individual conversations private. The feature turns AI agents from individually configured assistants into shared digital coworkers that can learn from team workflows, access approved tools and support collaborative tasks.
Key Highlights
- xAI announced Team Bots for its Grok Bot platform on September 28, 2026.
- Team Bots allow entire teams to work with a shared AI agent.
- Individual conversations remain private to each user.
- Shared bots can use team knowledge, skills, plugins and approved credentials.
- Each Team Bot receives its own Slack handle for collaborative work.
- Team Bots can support sales, customer success, product, engineering, marketing and data analytics.
- xAI says internal teams are already using Team Bots across multiple functions.
- The feature launched in public beta for Teams and Enterprise plans.
- Existing Grok Bots can reportedly be shared with teams.
- No separate pricing was announced, with usage following existing plan allowances.
From Individual AI Agents to Shared Team Bots
Grok Bot initially focused on giving individual users persistent AI teammates with access to cloud computers and the ability to perform multi-step tasks across applications and websites.
The platform allowed AI agents to sign into tools, coordinate with other bots and continue working after users stepped away.
Until the introduction of Team Bots, the experience was largely centred on individual users building and customising their own AI agents.
Team Bots are designed to address that limitation by allowing users to create an AI bot around a shared role, workflow or business function and make it available to other members of the team.
How Grok Team Bots Work
Team Bots combine several components that allow an AI agent to operate within a team’s workflow.
These include:
- Context: Files, instructions and skills such as brand guidelines, internal documentation and process playbooks.
- Plugins: Connections to applications such as Salesforce, Notion, GitHub and Linear.
- Credentials: Secure access to third-party APIs that do not have dedicated plugins.
- Memories: Information retained by the bot to improve its performance within its assigned role over time.
The shared bot can therefore operate from a common foundation of knowledge and tools while adapting its interactions to individual users.
Team Bots Keep Individual Conversations Private
Although the AI bot is shared among team members, individual conversations remain private.
According to the announcement, each user maintains separate context and memories while the Team Bot continues to draw on shared team skills and knowledge.
This structure is designed to allow teams to benefit from a common AI resource without automatically exposing one employee’s private interactions to another.
Each Team Bot also receives its own Slack handle, allowing teams to invite the bot into channels for group questions, shared responses and collaborative work.
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Team Bots Support Sales and Customer Success
One of the reported applications is customer management.
Dedicated Customer Bots can support account executives, customer success managers, solutions architects and sales leaders working on major accounts.
The bot can review company news, Gong calls, Notion documents and Slack conversations before preparing morning briefings for an account’s Slack channel.
The briefings can include role-specific next steps and draft materials.
According to the announcement, one customer identified as Harper, an insurance company, built a Team Bot within 24 hours to help identify lapsed policies and support reinstatement efforts.
The company reportedly recovered more than $120,000 for customers while reducing manual work.
Product and Engineering Teams Use AI Teammates
xAI also said its Product and Engineering teams are using an EPD Teammate connected to project Slack channels and tools including Notion, Linear, Hex, Datadog and Cursor.
The AI teammate can track product decisions, triage bugs, create tickets and launch Cloud Agents for defined technical fixes.
The bot was also reportedly taught the company’s shipping process through specialised skills.
According to xAI, the system helped coordinate work that enabled a five-person team to ship more than 100 pull requests per day while developing Team Bots.
Marketing Teams Can Use Team Bots for Content
Team Bots are also designed for marketing workflows.
The Marketing Bot can review drafts against brand guidelines, blog content and social media copy.
Once content receives approval, the bot can reportedly push website and SEO changes to a preview environment for final sign-off.
The workflow is intended to help regional marketing teams move faster while reducing the need for constant intervention from central teams.
Data Teams Can Share AI Knowledge
The Data Bot is designed to give employees read-only access to approved Databricks tables, alongside connections to Datadog, Hex and Statsig.
According to xAI, its data team transferred a two-year library of skills covering more than 45,000 tables.
The bot can also retain corrections, allowing its responses to improve as employees interact with it.
This creates a shared knowledge layer that can potentially reduce the need for employees to repeatedly explain the same data processes to an AI assistant.
Team Bot Templates Available for Businesses
xAI said pre-built Team Bot templates are available for areas including sales, product management, marketing and data analytics.
Existing Grok Bots can also be shared with teams.
The approach allows organisations to start with established workflows rather than creating every AI agent from scratch.
Team Bots Launch in Public Beta
Team Bots launched in public beta for Teams and Enterprise plans.
No separate pricing was announced for the feature, with usage reportedly following existing plan allowances.
The launch represents a shift in how Grok Bot is positioned, moving from an AI tool primarily configured around individual users toward a shared AI teammate designed for organisational workflows.
What Team Bots Could Mean for Businesses
The Team Bots model is designed to make specialised knowledge, tools and institutional processes available across an organisation.
Instead of every employee creating an independent AI assistant, a team can build one around a specific function and continuously improve its skills and workflows.
The model could also help with employee onboarding by giving new team members access to established processes, documentation and organisational knowledge through a shared AI interface.
At the same time, keeping individual conversations private is intended to provide a separation between shared organisational knowledge and personal interactions with the bot.
AI Agents Move Towards Collaborative Work
The launch reflects a broader shift from AI assistants that primarily answer individual questions to AI agents designed to participate in ongoing business workflows.
Team Bots are positioned as shared digital coworkers that can access approved tools, retain role-specific knowledge and support multiple employees working toward common objectives.
As businesses experiment with agentic AI, the ability to combine shared organisational knowledge with individual privacy could become an important part of how companies deploy AI across teams. For more tech and AI updates, follow us on X.
