Rocket.Chat AI sharpens your team's mission advantage, retrieves answers from your
own knowledge, and acts only on approved tasks, scoped to each user's clearance.
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AI that lives outside your control introduces mission risk. When your model is not sovereign, auditable, or aligned to classification and access policies, every response becomes an intelligence liability.
expose proprietary intel when they operate outside your secure enclave.
jeopardizes missions when AI cannot prove source, lineage or context.
occur when AI bypasses access controls or classification boundaries.
Every answer and action runs on your terms: the model you choose, inside your own environment, scoped to who is asking.
Any model: Run any model, including your own, through an OpenAI-compatible API, with no vendor lock-in.
No egress: The model runs inside your environment. Nothing leaves your perimeter.
Permission-scoped: Retrieval is classification-aware and fail-closed, so restricted material never reaches the model or the user.
Auditable: Every answer and action is logged, with source and reasoning you can verify.
The everyday layer. AI that lightens the load without touching anything sensitive.
Summarize long, complex threads so teams get briefed at the speed of the mission.
Translate across allied languages in real time, so partners share the same picture.
Catch up on unread channels at a glance, and cut the cognitive load in fast-moving operations.
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Ask in plain language and get grounded answers, never more than the person asking is cleared to see.
Turn your own records into answers, with retrieval that is classification-aware and fail-closed, so restricted material never reaches the model.
Hybrid search, semantic plus keyword with re-ranking, returns the exact message, thread, or file that answers, stopping at the user's clearance.
Every response traces back to its source, so teams can verify each answer rather than trust it blindly.
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The step beyond answers. Agents that take action, always inside the limits you set.
Agent Development Kit: Build governed agents that act with a user's identity and access, so each agent reaches only what that user can, and nothing more.
Approved actions only: Agents act on requests or propose actions in ambient mode, and execute only inside the approvals you set.
Rocket.Chat MCP Server: Expose the workspace as governed tools, so internal and external agents work under the same permissions as the user they act for.
The controls that keep every query, answer, and agent inside policy.
Only cleared users can trigger AI
or manage pipelines.
Risky prompts are screened against policy, classification, and clearance rules.
AI answers reach only cleared users,
and rooms carry classification banners.
Access is evaluated request by request,
with every decision logged.
Defeats harvest-now, decrypt-later
collection of AI data.
Admins control ingestion, indexing, retention,
and access, so AI stays aligned to policy.
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Ready to get started?
Governments are moving toward digital sovereignty to improve
independence and protect their data from extraterritorial regulatory
interference.
of governments will impose sovereignty requirements for AI
by 2028.
Gartner