AI Group Chat for Teams: Humans and Agents, One Conversation
Arkios Group Chat puts your teammates and your AI agents in the same conversation — with shared enterprise context, cited answers, and tool actions your team can trigger without leaving the thread.
What is an AI group chat?
An AI group chat is a multi-user conversation where teammates and AI agents participate together as peers. Unlike a personal chatbot session, every participant — human or agent — sees the same discussion, so the AI answers with full awareness of what the team has already said and decided.
In Arkios Enterprise, you bring your own custom agents into team conversations. Each agent is grounded in your enterprise knowledge through retrieval-augmented generation, so its answers cite the internal documents they came from instead of guessing. Agents can also execute tool actions — pulling a record, filing a ticket, running a lookup — directly from the conversation.
Role-based permissions govern who can create chats, add agents, and access conversations, and every message is covered by full audit logs, encryption, and a zero-data-training guarantee. The result is a collaborative AI workspace your security team can actually approve.
What you get
Agents as full participants
Add an AI agent to any group chat the same way you add a teammate. The agent follows the discussion as it unfolds, responds when addressed, and contributes in context — no copy-pasting threads into a separate chatbot window, and no losing the conversation history between tools.
Shared enterprise context with citations
Every agent answer is grounded in your company's knowledge through RAG and arrives with citations to the source documents. The whole team sees the same evidence, so decisions get made on verifiable facts — not on whatever a generic model happens to recall.
Tool actions inside the conversation
Agents do more than answer. Trigger tool actions straight from the thread — query a system of record, create a ticket, kick off a workflow — and the result lands back in the chat where everyone can see it. Discussion and execution happen in one place.
Permissions and governance built in
Role-based permissions control who can create group chats, who can add agents, and who can access each conversation. Full audit logs record every message and action, all data is encrypted, and nothing your team types is ever used to train models.
Works with the agents you already built
Any custom agent you build on Arkios — a deal-desk analyst, a policy expert, a support triager — can join a group chat without modification. Build the agent once, then let every team that needs it pull it into their own conversations on demand.
How it works
- 1
Create a group chat
Start a new group conversation in the Arkios workspace. Name it for the deal, project, or incident at hand — each chat keeps its own history and context.
- 2
Invite your teammates
Add the people who need to be in the room. Access follows your role-based permissions, so only authorized members can view or join the conversation.
- 3
Add an AI agent
Bring in one of your custom agents. From that moment it shares the team's context: it reads the discussion and grounds every answer in your enterprise knowledge.
- 4
Collaborate with cited, actionable answers
Ask questions, get answers with citations, and trigger tool actions without leaving the thread. Every step is encrypted and captured in the audit log.
Use cases
Deal desk reviews
Sales, legal, and finance debate a non-standard deal in one chat while a pricing agent pulls the relevant discount policy, cites the approval matrix, and drafts the exception request. The team closes the review in the thread instead of across three email chains.
Incident response
When production breaks, responders open a group chat and add an agent grounded in runbooks and past postmortems. It surfaces the matching remediation steps with citations and files the incident ticket via a tool action — while engineers stay focused on the fix.
Project standups
Distributed teams run async standups with an agent in the room. It answers status questions from project documentation, cites the latest specs when scope questions come up, and triggers task updates from the conversation — keeping the standup short and the record accurate.
Research and content reviews
Analysts and reviewers workshop a report together while a research agent checks claims against internal sources and returns citations inline. Disagreements get settled with evidence in the thread, and the audit log preserves exactly how each conclusion was reached.
Frequently asked questions
Can an AI agent join a team conversation?
Yes. In Arkios Group Chat, agents are first-class participants. Anyone with the right permissions can add a custom agent to a multi-user conversation, where it sees the shared discussion, answers with enterprise knowledge and citations, and executes tool actions — all inside the same thread your teammates are using.
How is this different from Slack with a bot?
A Slack bot typically responds to commands without real context. Arkios agents share the conversation's full context, ground answers in your enterprise knowledge with citations, and run governed tool actions. You also get role-based permissions over who can add agents, plus audit logs and encryption designed for enterprise compliance from day one.
Is our conversation data secure, and is it used to train AI models?
Conversations are encrypted and covered by full audit logs, and Arkios has a strict zero-data-training policy: nothing your team discusses in a group chat is ever used to train models. Your data stays your data, and security teams can review the complete audit trail at any time.
Who controls which agents can be added to a chat?
Role-based permissions govern the entire workspace. Administrators define who can create group chats, who can add agents to conversations, and who can access each chat. That means a sensitive deal review or incident channel stays restricted to the right people — and the right agents — by policy, not by convention.
How much does Arkios Group Chat cost?
Group Chat is included in Arkios Enterprise at a flat $25 per user per month — no per-message fees, no token metering, and no separate add-on for agents in conversations. You can evaluate everything, including group chats with your own custom agents, on a 14-day free trial.
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