SIMA360™

Structured AI Maturity Accelerator

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SIMA Flow™ Framework

The Execution EngineConnecting AI Dimension to Results

SIMA Flow™ serves as the execution engine, tying SIMA Core™ models to SIMA Kit™ resourced through two powerful cycles: the Core Cycle for AI dimension development and the FLAI Cycle for project execution.

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Two Interconnected Cycles

SIMA Flow™ operates through two complementary cycles that ensure both AI dimension alignment and tactical execution

Core Cycle (Macro)
Enterprise-level AI dimension development and strategic alignment
1

Assess AI Dimensions

Evaluate maturity across five AI dimensions

2

Set Groundwork

Prepare organization for execution using SIMA Kit™

3

Execute

Run projects through iterative FLAI cycles

FLAI Cycle (Micro)
Project-level execution with continuous learning and improvement
F

Frame

Identify objectives, boundaries, and risks

L

Learn

Deploy tools, collect data, explore capabilities

A

Assess

Evaluate outcomes, detect gaps, benchmark progress

I

Improve

Apply learnings to iterate forward

SIMA Flow™ Core Cycle

The macro flow for evaluating, preparing, and executing AI initiatives with structured learning loops

Assess AI Dimensions

The diagnostic entry point that contextualizes readiness across the five AI Dimensions: Strategy, Governance, Data, People, and Technology.

  • • Evidence-based capability level assessment
  • • Dimension-specific maturity evaluation
  • • Gap identification and risk assessment
  • • Readiness validation for next steps

Key Outcomes

Current capability level identification
Dimension-specific readiness scores
Risk and opportunity mapping

AI Dimension Preparation

Strategy: Define objectives and alignment
Governance: Establish policies and compliance
Data: Validate quality and access
People: Assign roles and assess skills
Technology: Confirm infrastructure readiness

Set Groundwork

Prepare the organization for execution using SIMA Kit™ tools and templates aligned to current capability levels and AI dimensions.

  • • Dimension-specific preparation activities
  • • Role-based guidance and templates
  • • Risk validation and mitigation planning
  • • Resource allocation and scoping

Execute

Operationalize strategic intent through iterative FLAI cycles, with complexity and iterations matched to organizational capability levels.

  • • Capability-matched project complexity
  • • Iterative FLAI cycle execution
  • • Continuous learning and adaptation
  • • Knowledge asset accumulation

Execution Principles

Iterative learning loops
Evidence-based decision making
Cumulative capability building

FLAI Project Cycle

Designed for strategy, innovation, and hypothesis-driven work - treating learning as a primary deliverable

Frame
Structure ambiguity without false certainty
  • • Establish boundaries and assumptions
  • • Define problem space clearly
  • • Articulate working hypotheses
  • • Surface key unknowns
Learn
Prioritize insight over output
  • • Conduct exploration and research
  • • Prototype and test assumptions
  • • Gather relevant data
  • • Embrace failure as learning
Assess
Interpret learnings in context
  • • Analyze patterns and implications
  • • Evaluate system dynamics
  • • Validate or challenge assumptions
  • • Understand broader context
Improve
Intentional, directional refinement
  • • Refine strategy and focus
  • • Update guiding assumptions
  • • Plan next iteration
  • • Integrate learnings

Why FLAI vs. Plan-Do-Inspect-Adapt?

While PDIA is ideal for agile delivery, FLAI was designed for strategy, innovation, and hypothesis-driven work. Language shapes mindset - FLAI encourages reflection, discovery, and intentional change.

SIMA Flow™ Integration Benefits

Connecting capability assessment with project execution through structured learning loops

Prevents Overreach

Assessment ensures AI projects align with organizational maturity, avoiding both underperformance and overreach

Generates Learning

Each project becomes both an application and generator of learning, building institutional knowledge

Ensures Alignment

Groundwork phase ensures preparation efforts are tailored to capability levels and AI dimensions

Ready to Implement SIMA Flow™?

Transform your AI initiatives from high-risk bets into structured, repeatable capability-building exercises

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