KIAME© Framework
Knowledge Integration Architecture for Multi-Level Execution
What is KIAME©?
KIAME© is a multi-level execution architecture that organizes decision-making across strategic, tactical, operational, and execution horizons—ensuring that actions at each level are causally linked to business value creation.
The Problem It Solves
Industrial organizations struggle with fragmented decision-making:
- →Executives set strategic targets without understanding operational constraints
- →Engineers optimize equipment performance without visibility to business impact
- →Financial analysts model ROI using assumptions disconnected from physical reality
- →Risk assessments exist in isolation, never integrated into capital allocation decisions
KIAME© Organizes Thinking Across Four Levels
KIAME© is not a methodology — it's a formal execution architecture that connects business objectives to field execution through computational models.
Business Objectives
What value are we trying to protect or unlock?
Strategic targets, risk tolerance thresholds, capital allocation priorities, and energy transition pathways. This level translates executive vision into computational constraints that flow down to tactical and operational layers.
Decision-Support Platforms (iDSS)
How do we simulate, optimize, and prescribe?
Integrated computational environments where executives can test "what-if" scenarios, engineers can optimize maintenance schedules, and financial analysts can model ROI under different operational strategies — all using the same underlying causal model.
Digital Assets & Models
Where is the causal integration embedded?
This is where PDEL® lives — the computational representation of how physics, degradation mechanisms, maintenance actions, and production strategies propagate through to business outcomes. Models at this level are not static documentation; they are executable logic.
Field Execution & Data Capture
How do we close the loop between prediction and action?
Real-time data streams, IoT sensors, inspection reports, and work order completion records feed back into the models, enabling continuous refinement. This closes the gap between theoretical predictions and operational reality.
The PDEL® Connector
Each level is connected by PDEL® (Performance Dependency Elucidation Language) — our computational language for mapping causal relationships across organizational silos.
PDEL® ensures that every decision — from maintenance scheduling to capital investment — is grounded in a unified system of truth where changes at one level propagate correctly through the architecture.
KIAME© Ensures a Unified System of Truth
When properly implemented, KIAME© enables executives to answer questions like:
What happens to EBITDA if we defer this turnaround by 6 months?
Which maintenance strategy minimizes lifecycle cost while meeting safety and availability targets?
How does feed composition variability impact equipment degradation rates and profitability?
Where should we allocate capital to maximize resilience against energy transition risks?