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Data Management and Operations
AI Governance
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Vision AI
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NEW
ElixirClaw, the computing platform for enterprise AI agents.
Diagnose and resolve issues faster through unified reasoning and automation
Gain financial control with AI-driven visibility and optimized spend
Accelerate insights with agentic analytics and real-time decisions
Trusted by leading companies and partners
Context. Control. Action. One decision trace.
Every decision is recorded with its inputs, the policy applied and its approver. Audit-ready by default.
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Context
Unify enterprise data
Agents see the same facts your teams use, joined in one living graph.
Living context graph
- Policy
- Customer
- Asset
- Event
- Contract
- Risk
Powered by ElixirData →
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Control
Enforced at runtime
Every action is checked against your policies before it runs, and lands in one of three lanes.
Checked on every action
- Policies
- Permissions
- Risk limits
- Approvals
Powered by AgentGRC ↗ and MetaSecure →
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Action
Runs in your systems
Approved actions run inside the systems you already use, wherever they are hosted.
Deploy where your data lives
- Cloud
- On-prem
- Edge
Powered by ElixirClaw → and NexaStack →
From ContextInputsWhat the agent knew when it decided
From ControlPolicy appliedWhich rule allowed, escalated or blocked it
From ActionApproverWho or what signed off, and what ran
One decision traceAll three recorded together for every agent decision.Audit-ready by default
PLATFORM
One platform.
Connected by design.
The XenonStack platform brings context, control, and action together. Every product has a clear role, and every decision lands in the same trace.
ContextControlAction
Point of view
How we think about agents in production
Essays, blueprints and explainers on running governed, auditable agents across the enterprise.
Browse all agentic AI articles →
The two clocks problem
Why agents fall out of step with the business they act on, and how to keep them in sync.
Why stale context breaks AI agents
The Context OS blueprint
The reference architecture for governed enterprise agents, ready to adapt.
Agentic OS reference architecture
Decision traces, explained
What to record for every agent decision, and why auditors ask for it.
From decision traces to better decisions
Governing agents at scale
How to set decision boundaries and human approvals as agent volume grows.
AI agent governance and approvals
Enterprise-ready from day one, built for security and scale
Not sure where to start? Our advisory team maps your first three agent decisions, their risks and their ROI in a short readiness sprint.
Book a readiness sprint
Certified for compliance and security
ISO 27001:2022 · ISO 9001:2015 · SOC 2 · HIPAA- and GDPR-aligned controls
Deploy anywhere you need
SaaS · private cloud · on-prem · edge
Trusted partner ecosystem
AWS Advanced Tier · Microsoft · Databricks · Snowflake · ServiceNow · NVIDIA
Use cases
Where agents pay off first
Start with the workflows where governed, auditable agents deliver measurable results across IT, finance, risk and data.
Explore all AI agentsIT operations
Incident triage, root cause analysis and automated remediation, with every action approved and traced.
AI agents for IT operationsFinance
Cloud cost governance and spend control, with agents flagging waste and enforcing budget policies.
AI agents for financeRisk & compliance
Continuous control checks and audit evidence, collected automatically so teams stay audit-ready.
AI agents for risk and complianceData & analytics
Decision-ready answers from governed data, with lineage and access rules applied on every query.
AI agents for data and analyticsReady to put agents into production?
In one Context Workshop, we map your first three agent decisions, the context they need and the controls they require.