Agents ask before acting
AI agents, automations or internal workflows send the intended action to AEGIS first.
Why It Exists
AI is moving from answers to actions. Once agents can call APIs, change data, send messages or trigger workflows, teams need a control layer before execution.
How AEGIS Works
AEGIS validates risk
AEGIS checks the action against context, behavior, governance signals and customer rules.
Humans approve or block
Risky actions wait for a human decision with a reason, expiry and audit trail.
Agents confirm permission
Before execution, the agent checks that approval is still valid and still matches the action.
Recurring decisions become rules
Customers can allow or block similar future actions while keeping every decision auditable.
First Use Case
Approval and audit for autonomous workflows.
The first product position is intentionally narrow: AEGIS controls one agent or automation before it changes data, permissions, infrastructure, money or customer communication.
Connect one agent
Add one validation call before the agent performs a sensitive action.
Review risky actions
AEGIS holds controlled actions until a human approves, denies or creates a rule.
Prove control
Keep an audit trail of approvals, denials, expiry and recurring decisions.
Observer Mode
Monitor behavior and build context without blocking workflows.
Guardian Mode
Validate sensitive actions before agents execute them.
Human Review
Require approval, reasons and audit trails for risky actions.
Decision Rules
Approve or block recurring patterns without exposing internal control logic.
Three Practical Use Cases
AI agents touching production
Hold permission changes, data updates, deploy actions or customer-facing messages until they are approved.
Workflow automation control
Put a review gate in front of n8n, Make, Zapier or internal API workflows before sensitive steps run.
Security and operations audit
Give teams a searchable record of who approved, what changed, when it expired and which rules were created.
One-minute pitch
AI agents need a control point before they act.
AEGIS Sentinel gives teams a review-first layer between autonomous software and real systems. It validates intended actions, records audit trails, routes human approval and turns repeated decisions into customer-owned rules.
AI automation agencies
Protect client workflows before agents send messages, update CRMs, change permissions or trigger production automations.
SaaS operations
Add approval gates around billing, customer data, support actions and internal API automations.
Security teams
Detect unusual agent behavior, repeated risky actions, drift and sensitive execution before it becomes an incident.
Best first buyers
Built for teams already letting automation act.
AEGIS is not sold as a generic security platform. The first market is narrower: companies, agencies and operations teams running AI agents or autonomous workflows that can affect real systems.
AI automation agencies
They need proof that client agents are controlled before sending messages, changing CRM records or calling APIs.
Internal AI teams
They need a review gate before agents touch production data, permissions, infrastructure or customer workflows.
Ops and security leads
They need audit evidence, recurring decision rules and a way to reduce repeated risky approvals.
Demo flow
A 60-second product story.
The customer does not need to understand the engine. They need to see one thing clearly: the agent asks, AEGIS validates, a human decides, and the audit trail proves it.
Live Demo
Permission change held for review
Risk: high | Decision: require review | Audit: ready
Agent submits action
The agent asks AEGIS before performing a sensitive operation.
AEGIS returns a decision
The console shows risk, priority, recommendation and whether review is required.
Human approves or blocks
The reviewer leaves a reason and may create an allow/block rule for repeated patterns.
Audit proves control
The customer can export a clean audit trail without exposing internal engine logic.
Paid Pilot Path
Start with one sensitive workflow.
The first deployment should be narrow, measurable and human-review-first. AEGIS validates the action before execution while the customer keeps final operational responsibility.
Choose the workflow
Pick one agent or automation that touches production data, permissions, billing or customer communication.
Connect Guardian
The agent sends intended actions to AEGIS and pauses when review is required.
Review decisions
Operators approve, deny or create recurring customer rules for repeated patterns.
Measure control
The pilot reports reviewed actions, blocked risk, recurring rules and audit coverage.
Deployment
AEGIS Cloud
Hosted Sentinel for teams that want fast onboarding and managed operations.
Managed Dedicated
AEGIS-operated isolation for larger customers that need stricter boundaries.
Enterprise
Controlled deployment options are coming soon and require direct review.
Pricing
Free Trial
USD 07 days, 2 agents, 1k events/month and 7 days history.
Starter
USD 99/mo5 agents, 10k events/month, 30 days history.
Pro
USD 299/mo25 agents, 100k events/month, 90 days history.
Business
USD 999/mo100 agents, 1M events/month, 365 days history.
Enterprise
Coming soonCustom volume, retention and SLA after direct AEGIS operator review.
Contact SalesStart with a paid pilot.
The fastest path is to connect one sensitive workflow, observe behavior for a short learning period, then move the highest-risk actions into review or controlled execution.
Pilot deployments are review-first by default. AEGIS Sentinel assists with risk validation and auditability, while customers remain responsible for final operational decisions and execution settings.
Contact
Book a pilot for one real workflow.
Send the workflow type, the agent or automation tool involved, and the action you want AEGIS to control first.