The accountability layer for
your AI workforce.
What did your agents do? What did it cost? Can you prove it? Three core pillars answer these questions — with evidence, not estimates.
Strata Timeline
A unified timeline of everything your AI workforce did — agent actions, tool calls, conversations, and human decisions — normalized into a single navigable narrative with cost attribution.
Agent logs, ChatGPT, Claude, Gemini, Slack, docs, and transcripts converge into one chronological view. Color-coded by source.
Every agent action includes cost attribution — token usage, API calls, compute time. See what each workflow actually costs.
People, agents, services, and projects are automatically identified and linked across all sources.
Every extracted event includes a confidence score and evidence link. Nothing is asserted without a source you can verify.
Discussed product architecture decisions...
Explored API design patterns and tradeoffs...
Analyzed data pipeline optimization...
Standup notes: committed to Q2 deadline...
Decision Ledger
A durable record of every decision, action, and outcome — human and machine — with cost attribution, rationale, and Decision Diff views showing what changed and why.
Automatically identifies decisions, agent actions, commitments, and assumptions with confidence scores, costs, and evidence links.
Weekly view of what changed: reversals, cost anomalies, revised assumptions. See the delta across your entire AI workforce — not just the current state.
Each action is tagged as machine-generated, human-verified, or human-enhanced. See where automation adds efficiency vs. where human judgment adds context.
When an agent's action conflicts with a human decision or another agent, Interstrata flags it with timestamps and sources for both.
Continuity Search
Ask questions no dashboard can answer. "What did my agents do while I was out?" "What did the deploy pipeline cost this week?" Answers come with citations, confidence, and cost data.
"What did our agents do this week?" "What's blocking the API launch?" "Which agent actions cost the most?" "What changed since last Monday?"
Every answer includes source citations, confidence levels, and cost attribution. No black-box responses — you can trace every claim to its source.
Follows decision chains across conversations and agent logs: Decision → Actions → Outcomes. Assumption → Decision → Reversal.
See where automation adds efficiency vs. where human judgment adds context. Answer "was this agent worth running?" with evidence, not intuition.
14 agent runs across 3 workflows. 47 tool calls. Total cost: $12.84. 2 actions flagged for review.
Everything else that compounds.
Features that turn continuity into outcomes.
Agent Accountability Report
Weekly "What did my AI workforce do?" report: decisions made, actions taken, costs incurred, outcomes attributed. Tagged as machine-generated or human-verified. Ready to forward to leadership.
Incident Binder
One-click export: reconstructed timeline, trust receipts, decision trail, and offline verification — packaged for postmortems, audits, or compliance reviews.
Drift & Cost Alerts
Get alerts when agents exceed cost baselines, assumptions go stale, commitments are missed, or decisions quietly reverse. Catch problems before they compound.
Sendable Outputs
Generate investor updates, project briefs, postmortems, and onboarding docs — all backed by evidence from your continuity graph. One click to draft.
Trust Receipts
Every privileged action — agent execution, human override, policy change — emits a signed, hash-linked receipt. Verifiable offline. Exportable for audit.
Browser Extension
Capture conversations in real-time from any web-based AI tool. Works alongside agent log ingestion and export-based import for full coverage.
Sources we connect.
Import from the platforms where your AI work happens.
See it with your own data.
Import your first archive and watch the continuity graph form in real time.