LCM: Verifiable Decision Layer for AI Systems
AI decisions can be opaque.
But they must be provable.
⚖️ Patent Pending — KR 10-2026-0069797
AI systems can act.
LCM makes their decisions provable.
⚙️ Get Started
Run your first provable AI decision in seconds.
✔ Decision executes
✔ Cryptographic proof is sealed
✔ Result becomes replayable
“If you can replay it, you can prove it.”
🔒 How LCM Proves Decisions
INPUT
├─ input_hash
├─ policy_hash
└─ engine_version
↓
DETERMINISTIC COMMIT
↓
DERIVATION ROOT
↓
OUTCOME
✔ SUCCESS
✖ FAILURE
✔ Same input → identical result
✔ Any change → detected instantly
✔ Full replay → anytime
🛒 LCM in AI Shopping
An AI agent executes a purchase.
The transaction completes.
But later — something is wrong.
Without LCM:
You cannot explain why it happened
You cannot reproduce the decision
You cannot prove responsibility
With LCM:
You replay the decision
You verify the logic
You prove what happened
A system that works is not enough.
You need a system you can prove.
🧪 Proven in Real Conditions
✔ 74 / 74 tests passed
✔ 300+ stress scenarios
✔ Zero-drift replay
✔ End-to-end audit verified
✔ Production-grade transaction traceability
✔ Shopping and refund lifecycle tracking
✔ Deterministic decision lineage from input to settlement
This is not theoretical.
It is operational.
It runs on real transactions.
LCM does not make AI smarter.
It makes decisions defensible.
Without this,
AI commerce cannot exist at scale.