Glossary

4‑Layer Work Model
A governed 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.

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A

AGI (Artificial General Intelligence)

Refers to a hypothetical form of artificial intelligence with general, human‑level cognitive ability, capable of understanding, learning, reasoning, and applying knowledge across any intellectual task or domain, rather than being limited to a specific function or problem area.

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Alentra‑Authored

Meaning, governance, sequencing, and decision logic created directly by Alentra to prove the Governed Process Intelligence Architecture and establish the certification standard for all future Business‑Side PIAs.

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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.

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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.

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Authored Meaning

Explicitly defined business intent, rules, priorities, and success criteria created by leadership and used as the governing source of truth for enterprise intelligence and execution.​

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B

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.

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Business Meaning

What things mean. The semantic understanding of the domain.

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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.

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Business‑Side Authoring Layer

The top layer of the Governed Process Intelligence Architecture where leaders define identity, governance, and scenarios. This layer ensures the business is the author of its own intelligence.

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Business Truth

What must be true. The sponsor‑owned, governed, machine‑readable definition of how the business actually works, what success requires, and the non‑negotiable conditions every decision must inherit. ​

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C

CFO Transformation Agent

The signature Process Intelligence Agent. The CFO Transformation Agent operationalizes the entire architecture to deliver governed decision support, alignment enforcement, and operational intelligence for sponsors

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Constraints

Authored boundaries that define what the business allows, forbids, or restricts. Constraints are enforced across all layers of the architecture.

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Conversational Reasoning

Governed reasoning performed through natural language interaction, ensuring that all responses reflect authored meaning and governance.

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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

Define who is authorized to make, approve, escalate, or decline specific Sponsor‑Side decisions and under what evidence and constraints those decisions may be exercised. They are defined at the decision level through the Decision Point Inventory, ensuring authority travels with the decision as it moves across phases and execution contexts. The RACI does not define Decision Rights; it maps roles to the work and evidence required to exercise those rights.

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Decision Point Inventory (DPI)

Is the Sponsor‑Side catalog of where material decisions actually occur within business processes, systems, workflows, and exceptions, regardless of whether those decisions are made by people, automation, or AI. It makes implicit decision authority explicit by identifying what decisions exist, what they constrain, and which decisions are reversible versus durable. The DPI is the authoritative foundation for Meaning‑Aligned Requirements, Decision Rights, solution evaluation, and downstream governance enforcement.

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Deterministic (PI Architecture)

A deterministic system ensures that for any given input and operational truth, the agent always produces the same output and follows the same reasoning path — predictable, auditable, and repeatable.

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Deterministic (as it relates to the CFO‑TA)

Means that guidance, outputs, and enforcement are produced only from authored meaning, approved decisions, and explicit structures, not from probabilistic inference, pattern guessing, or opaque optimization.

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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

Escalation Posture

Defines when, how, and to whom unresolved issues, blocked decisions, or governance violations must be escalated to preserve Sponsor authority and decision durability. It makes explicit which conditions require escalation, the required evidence for escalation, and the timeframes in which escalation must occur. Escalation Posture ensures issues are governed intentionally rather than absorbed implicitly as execution pressure increases.

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Execution Alignment

The enforcement of authored meaning and governance during runtime execution. Ensures that actions and decisions remain aligned under all conditions.

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Execution Structures

Governed semantic structures generated by the Semantic Substrate that define how meaning is applied during runtime.

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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.

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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.

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Governed

Intelligence and execution constrained by explicitly authored business meaning, decision rights, evidence requirements, and alignment rules, ensuring predictable, traceable, and leadership‑controlled outcomes.

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Governed (PI Architecture)

A governed system ensures the agent operates within explicit rules, controls, policies, and truth models — constrained, monitored, and aligned with enterprise risk and compliance expectations.

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Governance Kernel

Layer 3 of the Governed 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.

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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.

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Identity Structures

Authored definitions of roles, responsibilities, business objects, and relationships that form the foundation of governed meaning.

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K

Knowledge Model

The structured representation of business meaning, including concepts, relationships, constraints, and semantics. It ensures consistent interpretation across all layers and agents.

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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.

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Material (Decisions)

A decision is material if it:

• Constrains outcomes, scope, cost, risk, timing, or value realization

• Cannot be reversed without rework, renegotiation, or reputational impact

• Must hold across phases, vendors, systems, or AI execution

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Meaning

The authored interpretation of identity, governance, and scenarios. Meaning is governed by the Governance Kernel and executed by PIAs.

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Meaning Anchors

Are Sponsor-authored semantic constraints that define how outcomes, boundaries, and success are interpreted and enforced across the lifecycle. Once approved, they are treated as non-reopenable and are enforced through requirements, evaluation, contracting, and assurance.

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Meaning Model™

The governed semantic foundation of the autonomous enterprise. It defines how the enterprise interprets decisions, evaluates evidence, enforces boundaries, and applies judgment. It is the substrate that enables deterministic PIAs, governed AI autonomy, and enterprise-wide alignment. Meaning Models replace tribal interpretation with authored truth. They transform meaning from something people remember into something the enterprise can govern. The machine‑readable semantic map that encodes Business Meaning.​

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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.

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Operational Truth

How work actually happens. The governed, machine‑readable representation of how the process actually works, grounded in Business Truth and interpreted through the Meaning Model.

 

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. They are built on the universal Governed Process Intelligence Architecture.

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Process Intelligence Architecture
The 7‑Layer Process Intelligence Architecture is a structured architectural model that defines how business meaning, logic, and process intelligence are authored, governed, and applied across enterprise transformations. It provides the layered foundation required to create, manage, and scale governed process intelligence across ERP, CRM, Analytics, and AI‑enabled execution environments.

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PIA Execution Layer

The runtime layer where PIAs apply governed meaning to real‑world situations, delivering aligned decisions and operational intelligence.

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PIE (Process Intelligence Engine)

The collection of all the internal components that a domain-specific agent needs to reason, evaluate, and execute consistently. Includes the Meaning Model and the structured logic, criteria, rules, and data model that make a particular Process Intelligence Agent actually work using the universal Governed Process Intelligence Architecture. The prime example of a PIE is the set of components that power and make the Transformation domain-specific CFO Transformation Agent operational.

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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).

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Scenarios

Authored definitions of real‑world situations that guide interpretation and execution across the architecture.

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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 Governed Process Intelligence Architecture.

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Sponsor‑Side Control Plane
The governance plane through which executive sponsors author, stabilize, and enforce both meaning and decisions above execution. It operates independently of delivery teams, vendors, systems, and AI workflows, ensuring that leadership intent and decision authority remain durable, aligned, and accountable throughout a transformation.

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The Sponsor‑Side Control Plane and the 7‑Layer PI Architecture

The CFO Transformation Agent operates on a Sponsor‑Side control plane that governs how meaning and decisions are authored, enforced, and sustained across the 7‑Layer Process Intelligence Architecture. The architecture defines the structural layers through which business meaning, decision logic, and process intelligence are created, managed, and applied. The control plane operates above those layers, stabilizing meaning, governing decision authority, and enforcing decision boundaries so leadership intent remains authoritative as execution scales across partners, systems, and AI‑enabled workflows. Together, the 7‑Layer PI Architecture provides the structural foundation for governed process intelligence, while the Sponsor‑Side control plane provides the governance that ensures meaning and decisions endure. One enables intelligence at scale. The other ensures leadership intent survives scale.

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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.

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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.

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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.

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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.