1 · Register
Agent Hub
OAuth identity, delegation, discovery — every agent becomes a governed subject with an accountable owner.
Agent Governance & Execution · Agent Teams
Governed agent teams that work while you sleep
Always-on AI teams on your identity fabric — heartbeats that detect issues, team charters that divide the work, confirmation gates that pause for a human, and proof for every permitted step.
Agent Teams Studio Command Center showing standing teams, a waiting confirmation, and fleet pause, suspend, and kill-switch controls.
Chatbots wait. Operations cannot.
Most agent deployments are reactive: a human opens a chat, asks a question, and hopes the agent remembers context next time. Security teams see API keys, broad tool access, and no kill switch. Operations teams see overnight failures and escalations that arrived too late.
Agent Teams inverts the model: proactive, scheduled, governed autonomy — agents that monitor on a cadence, surface issues with context, hand off between roles in a team charter, and stop at confirmation gates before high-risk actions.
The model proposes, the platform decides, humans confirm, auditors verify.
| Reactive AI agent | EmpowerID Agent Teams |
|---|---|
| Waits for a user prompt | Heartbeat scheduler — configurable, always-on checks |
| Session amnesia | Team workspace + charter — persistent governed state |
| One agent, one thread | Multi-agent teams — roles, runs, staged handoffs |
| Guardrails optional | Confirmation-native — execution waits before risky actions |
| Opaque logs | Governance timeline in Agent Teams Studio |
| Developer API keys | Delegation-scoped identity — same spine as your people |
| No emergency stop | Pause, suspend, kill-switch on every agent |
Three moments on one fabric
Agent Hub gives an agent a badge. Agent Teams gives it a shift, a crew, and a supervisor sign-off.
2 · Deploy
Agent Teams Studio
Start from a template, define the team charter — roles, systems, approval model — and set the cadence.
3 · Operate
Studio + runtime
Heartbeats, runs, approvals, collaboration, receipts — with fleet health and stop controls in one desk.
More than automation. Governed agent operations.
Four capabilities, one platform — each enforced by the runtime, none delegated to a prompt.
Heartbeat
- Always-on scheduler, built for scale
- Right-sized model per check
- Skip rules run before any model call
Team
- Durable charter — roles, systems, approvals
- Authority backed by the identity graph
- Staged runs with recorded handoffs
Confirm
- Gates stop execution, not just warn
- Preview shows action, authority, expiry
- Approvals expire — never default to yes
Prove
- Signed receipts for permitted actions
- One governance timeline per team
- Same evidence shape as human access
The model proposes. The platform owns the lifecycle.
In Agent Teams, the model produces content — drafts, classifications, summaries, plans. The platform owns the operating state: schedules, stage advancement, schema validation, approvals, retries, receipts. A probabilistic model is never the authority over what runs next.
That's the difference between an agent framework where the model drives control flow unchecked — and an operations platform your security team can defend. Model behavior can evolve without changing what waiting, approved, failed, or stopped means.
| The model contributes | The platform owns |
|---|---|
| Interpret a sweep; summarize exceptions | Schedule and lease state; run + stage identity |
| Classify severity; propose a plan | Contracts, schema validation, team authority |
| Draft the escalation a human approves | Confirmation status; retry rules; handoffs |
| Select among policy-permitted next steps | Terminal state; receipts; pause / suspend / kill |
Runs on the fabric your identities already trust
Agent Teams doesn't re-implement governance inside a prompt. Model calls go through the LLM Gateway, tool calls through the MCP Gateway, execution through the Orchestration Service — the same identity, policy, credential, and evidence services that govern your workforce.
Model calls
LLM Gateway
Every model invocation authorized first — identity, delegation, intent, budget.
Learn more →Tool calls
MCP Gateway
Governed tool discovery and execution — schema integrity, parameters, delegated access.
Learn more →Execution
Orchestration + Local Worker
Native enterprise work under confirmation gates; device-level steps run signed envelopes with the same governance trail.
Learn more →
Agents receive data, never OAuth secrets — downstream credentials are brokered by the execution path.
Standing teams your operators deploy from templates
Standing reliability team
Watchtower template monitors platform health on a heartbeat — every sweep is a governed run with provenance.
Escalation commander
Multi-system customer escalation: detect → brief → plan → confirm → act, with a human at the consequential step.
Ops & sprint digest
Scheduled team run summarizes Jira and M365 sprint state and posts the digest — template-driven, charter-bound.
Identity governance
Ambiguous identity resolution becomes a waiting task on the same spine as IGA — not a separate agent stack.
Not a copilot builder. Not a chat wrapper.
Conversational app builders make chat experiences inside one suite. Developer agent loops run on personal trust and API keys. Agent Teams runs cross-system, governed operations — and it's built on the identity platform that already governs your workforce.
Download the Comparison Guide- 1
Always-on heartbeats — scheduled operations, not session-bound chat.
- 2
Team charters with graph authority — not ad-hoc multi-agent prompts.
- 3
Confirmation gates at the platform boundary — not in-process guardrails a prompt can route around.
- 4
Dual enforcement points — model and tool calls governed separately on one policy plane.
Built for regulated enterprises
Every control your security team will ask about is a platform property, not a prompt instruction — and every one of them is revocable, auditable, and testable.
| Property | What it means for you |
|---|---|
| Delegation-scoped agents | Authority narrows and expires — revocable like any human grant |
| Zero token return | Agents receive data, not OAuth secrets |
| Kill-switch / pause / suspend | Emergency stop without redeploying — recorded, authorization-protected |
| Inbound channel pairing | Telegram/email senders approved before any tool runs |
| Analytics trail | Operational telemetry and receipts feed the same evidence path as human access |
Frequently asked questions
Deploy agent teams your security team can defend
See heartbeat scheduling, team charters, confirmation gates, and the governance timeline in a live demo.
