Five governed layers between your people, your data, and your models. Every model call, data access, agent action, and decision is policy-controlled, auditable, and defensible.
Roanoke County, VA — Tier 2 municipal deployment that shaped the architecture
Consumer-grade AI optimizes for breadth and convenience. Governed Intelligence powered by METIS™ is engineered for accountability.
Pilots stall in regulated environments because the real question is never “can the model answer?” It is “can you prove how it answered, on whose authority, against which data — and reverse it if you must?” That is a governance problem, not a model problem.
The control plane does not replace your models, data systems, or applications. It sits between them and every user, mediating every interaction against your policies, classifications, and compliance obligations.
Every interaction draws on all five layers simultaneously. Governance is not optional, not a wrapper, not a last-mile check.
Three pre-built modules that convert governed intelligence into documented decisions — every finding cited, every step replayable.
Work backwards through evidence to the most probable cause. Every step cited, every inference replayable, every conclusion tied to the source record.
Output: Defensible RCA report with evidence chain
Surface anomalies, trace transactions, and reconstruct financial narratives across disparate ledgers with a governed audit trail that satisfies examiners.
Output: Transaction trace with compliance lineage
Forward-looking budget projections grounded in governed historical data, with transparent model logic and full documentation of every assumption.
Output: Projection with documented assumptions
Reusable capability modules that power every vertical pack and every Decision Module.
Extract, classify, and summarize unstructured documents with provenance to the source span.
Resolve the same entity across systems and map relationships into a navigable graph.
Surface outliers in any structured or semi-structured stream — financial, operational, or clinical.
Map organizational activities to regulatory obligations and surface gaps with evidence.
Autonomous, policy-bound agents that gather, correlate, and surface evidence across connected systems.
Permitting, public-records requests, budget variance, and constituent correspondence — governed for FedSLED environments.
For cities, counties, and state agencies
Prior authorization, clinical note summarization, and quality review with HIPAA-grade classification and audit.
For health systems, clinics, and payers
Grant performance projection, literature synthesis, and investigative analysis for research and academic institutions.
For research universities and institutions
Declarative, version-controlled policies decide who may use which model, on which data, for which purpose — on every call.
A tamper-evident record of every prompt, retrieval, tool call, and decision — reconstructable on demand.
Scoped, revocable identity for every user, service account, and autonomous agent.
Run classified and unclassified workloads with cryptographic separation and no external dependency.
Request a briefing and we will map the five-layer control plane to your systems, your compliance obligations, and your operating model.
