Governance You Can Prove. Value You Can Defend.
ΔOS governs autonomous change—and quantifies the conservative business value of what it prevents.
Trusted by innovative engineering teams
Conservative value avoided across early enterprise deployments
Aggregated from anonymized early deployment data. Individual results vary. Value bands represent conservative estimates with documented methodology.
Agent autonomy is ungoverned
Every time an AI agent takes action in your systems, someone makes an implicit governance decision. Today, those decisions are scattered across Slack threads, ad-hoc approvals, and hope. The result: either you slow agents down with manual gates, or you accept unquantified risk. Neither option scales.
Policy-Driven Decisions
Define governance policies once. ΔOS applies them consistently across every agent action, every time.
Complete Audit Trail
Every decision is recorded with full context: what was requested, what policy applied, what the outcome was.
Quantified Value
See exactly how much time, risk, and cost your governance policies save—with confidence bands, not guesses.
How it works
Before and after
| Dimension | Status Quo | With ΔOS |
|---|---|---|
| Agent decisions | Ad-hoc, undocumented | Policy-driven, auditable |
| Approval workflow | Slack threads, manual gates | Automated escalation paths |
| Audit trail | Scattered or nonexistent | Complete decision history |
| Risk visibility | Unknown until incident | Quantified per-action |
| Value measurement | Gut feel | Conservative estimates with confidence bands |
Measured impact
Frequently asked questions
ΔOS provides a lightweight SDK that wraps agent actions. Agents submit intents to ΔOS, receive judgments, and report outcomes. Integration typically takes less than a day for most agent frameworks.
ΔOS is designed for high availability with configurable fallback behavior. You can set default-allow, default-block, or escalate-to-human policies for edge cases.
We use conservative estimation with explicit confidence bands. Every value claim includes methodology and assumptions. We'd rather understate value than overstate it.
Yes. ΔOS is designed with regulated enterprises in mind. Complete audit trails, policy versioning, and approval workflows map directly to compliance requirements.
ΔOS governance is deterministic—the same inputs always produce the same outputs. Model providers generate human-readable explanations, not decisions. If a model provider changes or improves, governance integrity is unaffected. This is by design.
Every decision is deterministic and replayable. When a governance decision contributes to an incident: (1) Replay reproduces the decision with identical inputs, (2) Root cause analysis shows exactly which policy, evidence, and LIM version produced the outcome, (3) Policy updates prevent recurrence. ΔOS does not hide failures—it documents them.
Ready to govern agent autonomy?
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