campaign-icon

The Context OS for Agentic Intelligence

Book Executive Demo

Every Decision Proves It Happened Correctly

Decision Traces capture not just what was decided, but why — recording the context consumed, policy evaluated, authority verified, and evidence produced at every step. Evidence is produced by construction, not attached after the fact. The specification itself becomes the auditable artifact

By constructionEvidence produced
ImmutableDecision ledger
ReplayableAny decision, any time

Auditors Need Reasoning, Not Just Outcomes

Traditional logging captures what happened. It doesn't capture why. When a regulator asks "why did the AI approve this transaction?", enterprises scramble to reconstruct reasoning from scattered logs. Decision Traces make this question trivial — the answer was produced at decision time

Actions Only

Logged Actions

Application logs record the actions an agent took, but they do not capture the context, policy evaluation, or authority verification behind those actions

Show only completed actions

No context of decision-making

Policies evaluated are not recorded

Authority verification missing

Cannot explain reasoning from logs

star-icon

Outcome: Decisions cannot be fully understood from logs alone

Unreliable Reconstruction

Post-Hoc Analysis

Trying to reconstruct decisions weeks later using fragmented logs leads to guesswork, as context may have changed and policies may have been updated

Logs are often incomplete

Context shifts over time

Policies get updated

Memory of actions is fragmented

Forensic guesswork is required

star-icon

Outcome: Reconstructing past decisions is unreliable and prone to error

No Precedent

Lack Decision History

Organizations make the same types of decisions repeatedly, but without a searchable record of past decisions, they cannot learn from prior outcomes

Thousands of repeated decisions

No searchable past decisions

Hard to benchmark actions

Inconsistent approaches

No lessons from history

star-icon

Outcome: Decision-making lacks historical insight and precedent guidance

Evidence by Construction

Every decision that passes through Context OS automatically produces a complete trace — not as a side effect, but as a structural property of the decision process

Capture

At decision time, the trace captures: context consumed (entities, relationships, state), policy evaluated (version, rules, thresholds), authority verified (role, scope, delegation chain), and outcome produced

Context snapshot Policy evaluation Authority chain Outcome recording

Index

Traces are indexed for search across multiple dimensions: by agent, by policy, by outcome type, by time range, by domain, and by similarity to other decisions

Multi-dimensional index Similarity search Precedent matching Temporal queries

Replay

Any past decision can be replayed under different conditions: different policy version, different time, different context. Full counterfactual analysis

Policy replay Temporal replay Context replay Counterfactual analysis

What Decision Traces Delivers

Automatically capture, verify, and analyze every decision—replay, search, and audit with full transparency and trust

evidence-construction

Evidence by Construction

Every decision automatically produces a complete evidence package: context consumed, policy evaluated, authority verified, outcome generated. Nothing is logged after the fact

decision-replay

Decision Replay

Re-run any past decision under different conditions. What would have happened with last month's policy? With different authority? Full counterfactual analysis

precedent-search

Precedent Search

Find similar past decisions across the entire enterprise. How was this type of request handled before? What was the outcome? What policy applied?

audit-packs

Audit Packs

One-click evidence bundles: decision trace, policy version snapshot, context graph state, authority chain verification. Exportable in JSON, YAML, and PDF

decision-analytics

Decision Analytics

Aggregate analysis across thousands of decisions. Approval rates by category, escalation patterns, policy effectiveness, agent accuracy trends

state-awarness

Immutable Decision Ledger

Tamper-evident record of every decision. Cryptographic hashing ensures traces cannot be modified after creation

Connects to Your Audit & Compliance Stack

Decision Traces integrates with existing audit, compliance, and analytics platforms

Audit & GRC

AuditBoard
Workiva
ServiceNow GRC
RSA Archer
OneTrust
Diligent

Analytics

Tableau
Power BI
Looker
Snowflake
Databricks
Elasticsearch

Export Formats

JSON
YAML
JSON-LD
PDF Reports
CSV
XBRL

SIEM & Logging

Splunk
Elastic
Datadog
Sumo Logic
Grafana
CloudWatch

Frequently Asked Questions

A complete trace records four elements: (1) Context consumed, (2) Policy evaluated, (3) Authority verified, (4) Outcome produced. All four are captured at decision time, not reconstructed after

Traditional compliance adds evidence after decisions. Evidence by construction creates proof during the decision—so nothing needs reconstruction later

Decision Replay re-runs past decisions under different policies, times, or contexts. It enables “what if” analysis for audits, impact assessment, and improvement

Yes. Decision Traces export to major GRC platforms and common formats, and can stream to SIEM tools for real-time compliance monitoring

Ready to See Decision Traces in Action?

See how Decision Traces deploys over your existing infrastructure in 4 weeks — with structural governance from day one