Deterministic runtime governance for consequential AI execution.
AI-enabled and agentic systems can propose actions that change enterprise or mission state. AGCP Runtime provides a deterministic governance control plane that evaluates whether a proposed consequential transition is admissible before it becomes operationally real.
The AI proposes. AGCP decides whether the enterprise commits.
How AGCP Runtime Works
Probabilistic AI components may analyze, recommend, plan, or propose. AGCP Runtime makes the deterministic governance decision about whether the resulting consequential transition may become authoritative enterprise state.
Proposed Consequential Transition
An AI system proposes analysis, filtering, enrichment, dissemination, tasking, a tool call, or another action that could alter operational or enterprise state.
Runtime Governance Decision
AGCP evaluates current authority, canonical state, applicable policy, risk, provenance, evidence, and required human authorization.
Controlled Operational Outcome
The transition may commit, be denied, modified, deferred, or escalated to the required human authority.
AGCP Governs the Resulting State Transition
Identity, permissions, model safeguards, guardrails, runtime gateways, and agent-security controls remain important. AGCP addresses a different decision: whether the exact consequential transition proposed by the system is admissible under current governing conditions.
Identity & Authority
Determine whether the actor, agent, delegation chain, and governing authority remain valid for the proposed transition.
Canonical State
Evaluate whether current authoritative state remains compatible with the assumptions under which the action was proposed.
Policy & Risk
Apply deterministic governance policy, constraints, risk conditions, and required escalation rules.
Provenance & Evidence
Require sufficiently current, attributable, and qualified evidence to support the governance decision.
Human Escalation
Route decisions to required human authority when automated commitment is not independently admissible.
Commit-Bound Validation
Re-establish admissibility when the proposed transition reaches the point where it would become operationally real.
AGCP is not merely an action blocker. It governs whether the state transition resulting from the action may become authoritative enterprise state under current conditions.
AGCP Complements Existing Identity, Security, and AI Controls
AGCP is designed to coexist with the enterprise controls already responsible for identity, access, AI safety, tool mediation, orchestration, and governance. Those systems provide important inputs and enforcement surfaces. AGCP provides the deterministic authority and commit-state governance decision.
IAM / PAM
Establishes identity, entitlement, and resource access. Current authority becomes an input to AGCP admissibility.
Guardrails & Runtime Security
Constrain prompts, responses, threats, tool calls, and action paths. AGCP evaluates the resulting consequential transition.
GRC & AI Governance
Define organizational policy, risk, and governance expectations. AGCP makes those constraints operational at runtime.
Prove AGCP Against One Production-Intended Workflow
The AGCP Enterprise Runtime Pilot validates deterministic runtime governance against one consequential workflow in a non-production environment before production deployment.
AGCP Provides
- AGCP Runtime capability
- architecture guidance
- governance mapping
- testing and integration points
- evidence package
- pilot readout
Customer Provides
- defined workflow scope
- technical owner
- non-production environment
- integration access
- governance evidence
- production decision path
Pilot success: demonstrated commit-boundary traversal, fail-safe governance decisions, human escalation where required, and attributable governance evidence.
Production conversion credit: 50% of the $50,000 pilot fee is credited toward the first-year production license when the production order is placed within 60 days of pilot completion.
AGCP Runtime Production License
After successful pilot validation, AGCP Runtime may be licensed for production use within one defined governed production domain. The production boundary and deployment scope are established as part of pilot-to-production planning.
Production Domain License
The annual license supports production deployment of AGCP Runtime within the agreed governed domain and associated operational boundary.
- defined production-domain scope
- AGCP Runtime production use
- governance integration established during deployment
- commit-bound runtime governance for the licensed domain
- production evidence and governance decision generation
Additional production domains may be licensed separately as enterprise adoption expands.
A Controlled Path to Production Runtime Governance
AGCP begins with a bounded production-intended workflow, establishes technical and governance evidence in a controlled environment, and then moves validated runtime governance into a licensed production domain.
Pilot
Validate one production-intended consequential workflow for $50,000 over approximately 8–12 weeks.
Production
License AGCP Runtime for one defined production domain at $200,000 per year.
Expand
Add governed production domains as additional workflows, applications, mission environments, or operational boundaries require runtime governance.
Assessment and Product Deployment Are Separate Pathways
Organizations do not need to complete an AGCP assessment before beginning a Runtime Pilot. Assessment services and AGCP Runtime serve different purposes and may be used independently or together.
AGCP Runtime
Provides deterministic runtime-governance capability around consequential AI-enabled execution.
AGCP Assessment
Evaluates demonstrated runtime-governance capability within a defined system and assessment scope.
From Executable Control to Enterprise Deployment
AGCP has progressed beyond architecture and specification into executable runtime-governance capability. The next commercial milestone is validating and hardening that capability against production-intended enterprise workflows.
Available Today
- open AGCP specification
- private Rust executable implementation
- AGCP assessment pathways
- runtime-governance requirements and conformance model
- controlled implementation and research environments
Enterprise Runtime Pilots Validate
- customer-specific integration points
- production-intended workflow governance
- deployment and operational requirements
- commit-boundary behavior
- governance evidence generation
- pilot-to-production readiness
Current evidence supports executable governance control within tested scope. Enterprise Runtime Pilots are the next step toward repeatable production deployment across customer environments.
Where AGCP Runtime Is Most Relevant
AGCP Runtime is intended for environments where incorrect, unauthorized, stale, or insufficiently governed AI-driven actions can create material mission, security, legal, privacy, compliance, safety, financial, or operational consequences.
Mission & Federal Systems
Agentic workflows involving information sharing, tasking, mission systems, authorization, and operational decisions.
Regulated Enterprises
AI-enabled workflows affecting regulated data, financial decisions, infrastructure, compliance, or customer outcomes.
Autonomous & Multi-Agent Systems
Systems where agents act across tools, workflows, delegated authority, changing state, and consequential execution paths.
Prove Runtime Governance Before Production Deployment
Begin with a $50,000 Enterprise Runtime Pilot. Validate AGCP against one production-intended governed workflow in a controlled environment, then move the validated deployment into a $200,000-per-year production-domain license.