AI Teammates

AI that coordinates workflows, not just conversations

AI Teammates are persistent, permission-aware collaborators that help teams complete multi- step tasks. They gather information across domains, follow up with the right people, ensure correctness when transforming data, and deliver finished outputs not just answers. Unlike chatbots that reset every interaction or agents that act blindly, AI Teammates operate across steps and time, keeping context, respecting boundaries, and closing loops.

AI Teammates use Enterprise Memory for context, use Cognition when correctness matters, and keep humans in the loop where judgment is required.

Designed to coordinate workflows that span people, systems, and time

They manage the full lifecycle of a task from gathering inputs to delivering a completed outcome.

Gather information across domains

Retrieve relevant knowledge from the appropriate Vaults and use VaultAIs to interpret information within defined scope and permissions.

Operate in existing collaboration tools

Embed into messaging platforms, internal portals, and websites so workflows happen where teams already collaborate.

Manage multi-step workflows over time

Persist state, track progress, and identify what remains open. When inputs are missing or delayed, they follow up rather than failing silently.

Coordinate with people and systems

When workflows depend on approvals, clarifications, or external actions, Teammates route requests, monitor responses, and incorporate feedback as it becomes available.

Ensure correctness during transformations

When tasks require sorting, aggregation, normalization, or validation, Teammates use Cognition to ensure results are complete, consistent, and reviewable.

Deliver finished outputs

Synthesize results and reconcile inputs to produce outputs that teams can act on with confidence.

Why AI Teammates are safe to deploy

AI Teammates are designed for environments where trust, control, and reviewability matter. They do not operate as autonomous agents, and they do not act outside defined boundaries. Safety is enforced by design, not policy.

Permission-aware by default

Teammates operate within the access controls of the Vaults they use. They can only retrieve and act on information they are explicitly allowed to access.

Correctness enforced during execution

When Teammates transform, combine, or validate information, they use Cognition to ensure results are complete, consistent, and reviewable.

Human-in-the-loop where judgment is required

Teammates route tasks to people for approvals, clarifications, or decisions instead of acting unilaterally. Human input is incorporated deliberately and traceably.

No silent actions

Teammates do not take irreversible actions without visibility. Outputs are produced as artifacts that can be reviewed, approved, or audited.

Traceable outcomes

Every result produced by a Teammate can be traced back to the inputs, Vaults, and actions that produced it.

This design allows AI Teammates to participate in enterprise workflows without introducing uncontrolled behavior or hidden risk.

Works where you already work

AI Teammates embed into the tools you use every day - Teams, Slack, WhatsApp, your website. You describe what you want in natural language. VaultIQ translates that into governed workflows, coordinates across systems and people, and ensures every result is complete and traceable.