Policy before action
Context OS checks decision boundaries outside the model, before actions run.
The Context OS for Agentic Intelligence
ELIXIRCLAW × CONTEXT OS
ElixirClaw: AI agents that run inside governed boundaries.
ElixirClaw is XenonStack's AI agents computing platform. It runs the agents that act inside the decision boundaries set by Context OS from ElixirData. Each agent works within a defined scope, and each decision leaves a record the business can review.
Scoped accessPolicy checksDecision records
AGENT ACTION REVIEW
RUN / 0042
PROPOSED ACTION
Update customer account
Support Agent · CRM Workspace
ScopeAllowed systems only
PolicyChecked before action
AuthorityApproval required
CURRENT STATE
Waiting for authorized approval
Illustrative workflow, not a live agent run.
Decision record
Context · Policy · Approval · Outcome
01 / RUN WITH CONTROL
Autonomy needs boundaries. Not just instructions.
Give agents the room to work while retaining control over systems, decisions and accountability.
01
AGENT TASK
CRM Allowed
Billing Approval
HR records Out of scope
Agents run within a defined scope.
Each agent acts only on the systems and operations its task permits.
Approvals where they matter
Actions that require higher authority are routed to an accountable approver.
Stop conditions built in
Runtime limits and stop conditions define when an agent must stop safely.
Every decision has a record
Inputs, rules, approvals and outcomes can be reviewed through decision traces.
02 / ONE GOVERNED EXECUTION MODEL
One runs the agents. One governs their decisions.
ElixirClaw and Context OS serve different roles in the same enterprise workflow.
XENONSTACK / ELIXIRCLAW
Agent execution
Agents receive tasks, operate within their assigned scope and propose actions across permitted tools and systems.
AGENT COMPUTE PLATFORM
ELIXIRDATA / CONTEXT OS
Decision governance
Context OS checks policies, authority and approval requirements outside the model before execution.
GOVERNANCE AND DECISION CONTROLS
Defined scopePre-action policy
Human approvalReviewable evidence
03 / BUILT FOR REVIEW
Know what happened. And why it was allowed.
An agent action should not end at a success message. Decision traces capture the context, policies, approvals and outcomes needed for review.
Learn how decision traces build trust ↗DECISION TRACEIllustrative example
- Input
- Customer account update requested
- Scope
- CRM update permission checked
- Policy
- Authority threshold evaluated
- Approval
- Escalated to named approver
- Outcome
- Recorded after decision
04 / SEE THE SYSTEM
From agent actions to accountable outcomes.
05 / QUESTIONS ANSWERED
Understand the boundaries.
Clear answers on how ElixirClaw and Context OS work together.
What is ElixirClaw?
ElixirClaw is XenonStack's AI agents computing platform. It runs agents that act within defined enterprise boundaries.
How is it different from Context OS?
ElixirClaw runs agents. ElixirData's Context OS sets and checks the decision boundaries that govern those agents' actions.
How do I review what an agent did?
Decision traces provide a record of the inputs, policies, approvals and outcomes associated with an agent decision.
Can approvals be required for large actions?
Yes. Actions that require higher authority can be routed to a named approver before execution.
How do I get a demo?
Use the demo link below to request a walkthrough of governed enterprise agents.
06 / MOVE FROM PILOT TO PRACTICE
Let agents work. Keep decisions accountable.
See how agent execution and governance work together for enterprise AI.