Deterministic Release Adjudication
MAS³ evaluates whether an AI‑generated or AI‑transformed claim is sufficiently defensible to operationally release. It produces governed verdicts without placing an LLM inside the deterministic gate.
AI Governance · Operational Trust · Audit Lineage
Governed AI‑Mediated Decision Systems
Sentinel is an operational governance surface powered by MAS³ and MASⁿ — architectures designed to govern AI‑transformed operational claims through deterministic adjudication, provenance-aware reasoning, and governed persistence.
“Every AI system tells you what it thinks. Sentinel tells you what you’re allowed to act on.”
01Source Material
02AI Transformation
03MAS³ Governance
04Release Verdicts
05MASⁿ Persistence
GOVERNED WORKFLOW DEMONSTRATION
Sentinel — Governed AI Release Workflow
Sentinel is an evidentiary AI governance surface built on the MAS³ / MASⁿ architecture. This demonstration shows governed claim extraction, multi-model evaluation, evidentiary re-evaluation, provenance tracking, and structured audit export workflows.
The Governance Boundary
AI is transforming source material into operational claims.
Financial summaries, underwriting inputs, compliance narratives, risk assessments, diligence outputs, and institutional recommendations increasingly pass through AI transformation layers before humans act on them.
Unaudited transformation risk
“The source says X, therefore the organization can act on Y.”
The critical risk is not just whether the AI sounds correct. It is whether the transformed claim preserves the conditions, caveats, evidence, and lineage required for operational release.
Core Architecture
MAS³ governs release. MASⁿ governs persistence.
The architecture is designed to sit between stochastic AI generation and consequential operational action.
Governed Persistence
MASⁿ preserves admissible, provenance-backed decision states with primitive identity, policy-versioned continuity, replayable audit history, and bounded institutional memory.
Operational Surface
Sentinel is the reference surface demonstrating MAS³ and MASⁿ in institutional workflows where AI-derived claims must be reviewed before they are trusted, exported, or acted upon.
Reference Surface
Three governed outcomes for AI-mediated claims.
Sentinel does not merely observe AI behavior. It adjudicates whether a transformed claim can be released, requires caution, or should be refused based on evidence, uncertainty, contradiction, and provenance constraints.
Governed verdict states
REPORT
Evidence supports a governed release state.
LOW_CONF
The claim may be useful but is not sufficiently bounded for confident release.
REFUSE
The claim fails governance constraints and should not be acted upon.
Current Phase 2 work extends this from claim evaluation toward provenance-aware transformation governance: source-span lineage, recursive contextual grounding, and audit continuity from origin through verdict.
Domain Agnostic
Built for consequential AI workflows across domains.
The same governance pattern applies wherever AI transforms source material into claims that influence decisions, workflows, reports, or institutional memory.
Financial ServicesFilings, diligence, fund operations, risk narratives.
InsuranceUnderwriting, pricing factors, claims reasoning, reinsurer review.
Legal & CompliancePolicy interpretation, regulatory assertions, controlled release.
OperationsInternal controls, exception handling, workflow decision support.
ResearchDataset harmonization, derived indicators, source-to-claim traceability.
Manufacturing QCQuality checks, variance claims, operational exceptions.
HealthcareNon-diagnostic wellness and structured interpretation workflows.
Industrial SystemsControl environments, field operations, systems assurance.
Founder / Architecture
Designed for governed institutional release, not generic guardrails.
Sentinel is being developed as a professional reference surface for MAS³ and MASⁿ: a governance architecture for AI-mediated transformation, release authority, and persistent audit continuity.
Patent Applications FiledThe architecture is being advanced with filed patent applications covering governed adjudication, persistence, and AI-mediated workflow control.
Pilot-OrientedCurrent discussions focus on narrow, high-signal pilots where AI-derived claims affect operational decisions and require defensible lineage.
Contact
Pilot and partnership discussions.
For warm introductions, pilot discussions, or architecture review, contact Ellis Cohen.
Introductory contact
Email: ellis@mas3sentinel.com
Site: mas3sentinel.com