Any system that makes decisions needs Chronicle.
Chronicle is not an enterprise-only product. Autonomous systems are making consequential decisions across healthcare, manufacturing, infrastructure, and edge computing. Each domain has the same core need: governance at the decision point.
Enterprise
Enterprise AI Governance
Every agent action, attributable. Every policy, enforced.
Enterprise AI deployments span orchestrators, tool-calling agents, RAG pipelines, and multi-model systems. Chronicle sits in-line with all of them — enforcing policies before execution, recording cryptographic evidence of every call, and surfacing behavioral intelligence across the entire decision graph.
The challenges
- ✗Unapproved models and external endpoints in production
- ✗No audit trail when a model takes a wrong action
- ✗Policy applied inconsistently across agent types
- ✗Identity not bound to decisions — can't answer 'who authorized this'
How Chronicle helps
- ✓Real-time policy enforcement on every LLM and tool call
- ✓Tamper-evident evidence bound to actor identity
- ✓Shadow AI detection with daily intelligence briefing
- ✓Compliance-ready export for audits and incident review
Healthcare
Clinical & Healthcare AI
Clinical decisions require clinical-grade governance.
AI systems are making — or influencing — triage recommendations, diagnostic suggestions, treatment plans, and medication dosing. These decisions carry direct patient risk. Chronicle brings a control plane to clinical AI: enforcing clinical policies before decisions are finalized, recording evidence chains that satisfy regulatory requirements, and detecting behavioral drift before it affects patient outcomes.
The challenges
- ✗No governance layer on clinical decision support systems
- ✗Regulatory requirements (FDA, MDR) require decision traceability
- ✗Model behavior drifts silently between training and deployment
- ✗Multiple AI vendors, no unified policy enforcement
How Chronicle helps
- ✓Policy enforcement at the clinical decision point
- ✓Full decision audit trail for FDA AI/ML and MDR compliance
- ✓Drift detection with clinically-meaningful baselines
- ✓Vendor-agnostic — one control plane across all models
Edge & IoT
Edge, IoT & Infrastructure
Decisions at the edge are still decisions.
Manufacturing automation, smart infrastructure, autonomous vehicles, and industrial IoT all run AI at the edge — making real-time decisions with real-world consequences. Chronicle's lightweight Rust runtime is designed for constrained environments, bringing decision governance to edge deployments without cloud round-trips on the critical enforcement path.
The challenges
- ✗Latency-sensitive enforcement — can't afford cloud round-trips
- ✗No audit trail on edge AI decisions
- ✗Firmware and model updates create silent policy gaps
- ✗Impossible to investigate edge incidents without decision records
How Chronicle helps
- ✓Sub-millisecond enforcement — all decisions stay on-device
- ✓Local evidence capture with async sync when connected
- ✓Policy updates deployed independently of model updates
- ✓Decision records survive disconnected operation
One platform. Every environment.
Chronicle's split-plane architecture means the enforcement runtime runs wherever decisions are made. The intelligence layer runs in the cloud.
Rust enforcement runtime
Lightweight, zero-dependency binary. Runs on bare metal, containers, or embedded Linux. The critical enforcement path never leaves your environment.
Vendor-agnostic
OpenAI, Anthropic, Mistral, Llama, or your own fine-tuned model. Chronicle normalizes decisions at the policy layer — the model doesn't matter.
Evidence sovereignty
Client-side AES-256-GCM encryption with Vault Transit key wrapping. We hold encrypted blobs, not plaintext. You hold the keys.
Your use case isn't listed?
If you have autonomous systems making consequential decisions, we want to hear from you.