Glossary
Authoritative Definitions for the Process Intelligence Era
This glossary provides precise, leadership-authored definitions for the core terms used across the Deterministic Process Intelligence Architecture and all Process Intelligence Agents (PIAs). These definitions ensure clarity, consistency, and governed meaning across all layers of the architecture.
4‑Layer Work Model
A deterministic structure that defines how modern enterprises create, govern, interpret, and execute work. It separates Governance Work, Knowledge Work, Machine‑Mediated Work, and Physical Work, revealing where Business‑Side AI governs decisions and where System‑Side AI executes tasks. The model provides a clear way to classify work, determine where AI applies, identify governance gaps, and sequence transformation activities in the correct order.
A
Alentra‑Authored
Meaning, governance, sequencing, and decision logic created directly by Alentra to prove the Deterministic Process Intelligence Architecture and establish the certification standard for all future Business‑Side PIAs.
Alignment
The state in which decisions, actions, interpretations, and recommendations reflect authored identity, governance rules, and scenarios. Alignment is enforced continuously across all layers of the architecture.
Anchor PIA
The governing Process Intelligence Agent responsible for enforcing alignment, applying BRAG reasoning, and ensuring that all agents operate within authored meaning and governance.
B
BRAG (Business Rules, Alignment & Governance)
The governed business rules that define how the system interprets meaning, evaluates decisions, enforces alignment, and applies governance. BRAG ensures consistent, sponsor‑aligned reasoning across all agents and models.
Business‑Side Authoring Layer
The top layer of the Deterministic Process Intelligence Architecture where leaders define identity, governance, and scenarios. This layer ensures the business is the author of its own intelligence.
Business‑Authored
Meaning, rules, scenarios, and intelligence structures explicitly authored by the business and enforced across the architecture through the Governance Kernel and certified Business‑Side PIAs.
C
Constraints
Authored boundaries that define what the business allows, forbids, or restricts. Constraints are enforced across all layers of the architecture.
Conversational Reasoning
Governed reasoning performed through natural language interaction, ensuring that all responses reflect authored meaning and governance.
Certification (Marketplace)
The process by which Business-Side PIAs and governed components are approved for participation in the Marketplace.
Certification is performed by the Governance Layer (Layer 1). The Marketplace is created and operated by a platform vendor,
not by Alentra.
D
Decision Rights
Authored definitions of who has authority to make which decisions. Decision rights are enforced by the LOS and applied by PIAs at runtime.
Drift
Any deviation from authored meaning, governance, or scenarios. Drift can occur in models, agents, execution, or interpretation. The architecture prevents drift through governed reasoning and alignment enforcement.
E
Execution Alignment
The enforcement of authored meaning and governance during runtime execution. Ensures that actions and decisions remain aligned under all conditions.
Execution Structures
Governed semantic structures generated by the Semantic Substrate that define how meaning is applied during runtime.
F
The Foundation Model Layer
First made available in 2022 with the release of large‑scale foundation models (based on LLMs) from leading AI research organizations, it is the semantic interpretation layer of the Enterprise AI Stack that interprets language, meaning, and context. It uses foundation models from providers such as OpenAI, Anthropic, Google, and others to interpret meaning, classify scenarios, and perform semantic reasoning.
G
Governance
Authored rules, policies, constraints, and decision rights that define how the business must operate. Governance is enforced across all layers of the architecture.
Governance Kernel
Layer 3 of the Deterministic Process Intelligence Architecture. The Governance Kernel transforms authored meaning into governed intelligence structures through BRAG and the Knowledge Model. It ensures alignment, consistency, and control across all downstream layers.
Governance Layer
The authoring component where leaders define rules, constraints, policies, and decision rights that govern all reasoning and execution.
I
Identify Layer
The authoring component where leaders define the business identity, roles, responsibilities, and operational definitions.
Identity Structures
Authored definitions of roles, responsibilities, business objects, and relationships that form the foundation of governed meaning.
K
Knowledge Model
The structured representation of business meaning, including concepts, relationships, constraints, and semantics. It ensures consistent interpretation across all layers and agents.
M
Marketplace
A governed ecosystem of certified Business-Side PIAs and governed components. The Marketplace is created and operated by a platform vendor, not by Alentra. Only certified Business-Side PIAs may participate.
Meaning
The authored interpretation of identity, governance, and scenarios. Meaning is governed by the Governance Kernel and executed by PIAs.
N
Natural Language Interface Layer
The layer that enables governed conversational reasoning, synthesis, and retrieval. It ensures that natural language interaction remains aligned with authored meaning.
O
Operational Intelligence
Governed, scenario‑aware insights, recommendations, and decisions delivered by PIAs at runtime.
P
PIA (Process Intelligence Agent)
A governed agent that applies authored meaning, governance, and scenarios at runtime to deliver operational intelligence. PIAs enforce alignment and prevent drift.
PIA Execution Layer
The runtime layer where PIAs apply governed meaning to real‑world situations, delivering aligned decisions and operational intelligence.
R
Reasoning (Governed)
The application of BRAG, governance rules, and the Knowledge Model to interpret meaning and evaluate decisions. Governed reasoning ensures consistency and alignment.
S
Scenario Layer
The authoring component where leaders define situations, contexts, triggers, conditions, exceptions, and edge cases that the system must understand. This is part of the Business-Side Authoring Layer (Layer 2).
Scenarios
Authored definitions of real‑world situations that guide interpretation and execution across the architecture.
Semantic Substrate
The execution layer that transforms governed meaning into executable semantic structures. It ensures consistent, aligned, auditable execution across all agents. It is Layer 6 of the Deterministic Process Intelligence Architecture.
SSOS Agent (Sponsor‑Side Operating System Agent )
The flagship Process Intelligence Agent. SSOS Agent operationalizes the entire architecture to deliver governed decision support, alignment enforcement, and operational intelligence for sponsors
System-Side AI
AI embedded inside ERP, CRM, Analytics, or other platforms. System-side AI is vendor-shaped, not governed, and cannot
participate in governed execution unless mediated by a certified Business-Side PIA.
System‑Authored
Meaning, logic, or outputs generated by vendor systems or embedded AI that are not governed, not certified, and cannot participate in Business‑Side execution without mediation by a certified PIA.
If you want, I can also add these to the Glossary page in the correct alphabetical position.
T
Traceability
The ability to audit and explain decisions, reasoning paths, and execution steps. Traceability is enforced by the Semantic Substrate and PIA Execution Layer.
V
Vendor Model Layer
The layer that governs how external models (LLMs, copilots, vendor tools) are used. Ensures that vendor models operate under business‑side governance and cannot shape meaning or decisions.
Vendor Neutrality
The principle that the architecture does not depend on any single vendor or model. All models are governed and interchangeable.
W
Workflows (Governed)
Execution paths defined by authored meaning and enforced by the Semantic Substrate. Governed workflows ensure consistent, aligned execution.
Deterministic
Where To Go Next
Explore the systems, principles, and leadership models that bring the Process Intelligence Era to life.
>> Deterministic Process Intelligence Architecture
See how the architecture enables multiple AIs to operate with one shared meaning, one shared truth, and one governed interaction model across vendors, systems, and clouds.
