We Settle
AI Decisions.
Decision settlement infrastructure for agentic AI.
No settlement, no finality, no accountability.
Regulations define obligations.
None define completion.
Every major AI regulation requires documentation, oversight, and accountability. None of them say when responsibility for an AI decision is actually done.
“Automatic event logging required.”— Article 12, Regulation (EU) 2024/1689
Requires you to record. Doesn’t say when you’re done.
“Demonstrate compliance at all times.”— Article 5(2), Accountability Principle
Requires you to be accountable. Doesn’t define finality.
“Board must exercise oversight.”— In re Caremark (Del. Ch. 1996)
Requires you to be diligent. Doesn’t say when it’s settled.
This gap isn’t ethics. It’s missing settlement infrastructure.
Observing decisions is not the same as
closing responsibility.
Log is a surveillance camera. Ledger is a closing book.
This isn’t theoretical.
It’s already happening.
Hiring was first. The pattern generalizes to every frontier AI deployment.
Every domain where frontier AI makes high-consequence decisions faces the same structural gap: decisions open, responsibility never closes.
The Decision Settlement Layer
The difference isn’t better AI.
It’s whether the account is open or closed.
Settlement Chain
Every step sealed with SHA-256 into a settlement chain. Tamper one record, break finality.
Non-Reconstructable
Strategic intent is recorded as consumed, never exposed in the settlement record.
Δ1 Validity Gate
Binary pass/fail. All conditions must hold, or the session stays open.
Any Agent, Any Stack
Works with MCP, tool use, A2A. Pluggable TSA. No source code access required.
This is what Decision Settlement looks like.
Every agent decision either reaches Δ1 finality — or stays explicitly unsettled.
Settled. Sealed. Adjudicable.
Settlement isn’t abstract.
It applies to physical actions.
When AI decisions result in real-world actions, responsibility becomes undeniable. Robot-In-Honey (RIH) demonstrates that even physical AI behavior can be enveloped, observed, and settled.
If physical AI actions can be settled, purely digital decisions should never be considered too complex to close.
Built on real results, not empty promises.
We don’t sell legal standing. We sell litigation readiness.
- Cognitive Leakage & AI Accountability
Δ1 as binary condition for responsibility finality - Responsibility Completion for Agentic AI
Why accountability must be engineered as a completion state - From Data Leakage to Intent Leakage
Why scoring cannot produce responsibility closure - Intent Leakage by Design
Protocol-level gaps preventing decision finality
- 196+ patent claims
- Full settlement stack
- Priority dates locked
- Estimated design-around: 2–3 years
- Architecture addresses all OWASP Agentic AI Top 10 risk categories
- EU AI Act Article 12 aligned
- NIST AI RMF mapped
All research peer-citable via Zenodo DOI. View publications →
Regulations define obligations.
We define done.
We’re happy to walk through the settlement architecture, the patent stack, and how Δ1 finality works.
Get in Touch