The D-A-E Framework
Define. Analyze. Execute.
Not a rigid playbook. A way of thinking about complex problems - refined across 24 years of enterprise consulting and supercharged by AI.
Where traditional consulting frameworks add process, D-A-E strips problems to their fundamentals and builds solutions from the ground up. AI doesn't replace that thinking. It accelerates it.
The seven steps
Three phases. Seven steps. One operating system.
Phase 1
Define
Establish fundamental truths
Every engagement begins by cutting through organizational noise to find the real problem. Not the stated problem. Not the symptom. The irreducible core issue that, if solved, unlocks everything else. ISC uses AI-augmented analysis to accelerate discovery, but the intellectual rigor is human. AI surfaces signals faster; ISC's experience determines which signals matter.
Step 01
Define the Problem
The Motivation
What are we really trying to solve, and what assumptions are we willing to challenge?
Step 02
Define Success
The Executive Vision
What does 'done' look like in measurable terms that everyone can align behind?
Phase 2
Analyze
Deconstruct to essentials
With the problem and success criteria defined, ISC breaks the challenge into its essential components. This is where 24 years of pattern recognition meets AI-powered analysis. ISC distinguishes between requirements that drive outcomes and requirements that just generate activity. AI accelerates the work; experience supplies the judgment.
Step 03
Analyze Needs
Required Use Cases
What is the minimum viable set of requirements that directly serves the defined success criteria?
Step 04
Analyze Required Capabilities
The Roadmap
What building blocks do we actually need, and what is the most direct path to assembling them?
Phase 3
Execute
Build from foundation up
Execution is where most transformations fail. Not because the strategy was wrong, but because nobody owned the messy translation from strategy to implementation. ISC's execution discipline is built on consulting disciplines that make technology change stick - business analysis, process engineering, solution architecture, program management, governance design, and change management. AI enhances execution through automated progress tracking, intelligent documentation, and real-time risk monitoring; the accountability structure is what makes D-A-E work.
Step 05
Define Strategy & Quantify Value
The Value Story
What is the most direct path from here to success, and how do we maximize value while minimizing effort?
Step 06
Execute Strategy
The Execution Plan
Prioritized, minimum-viable increments with built-in scope discipline and continuous first-principles validation.
Step 07
Track Progress
Value Realization
Measure outcomes, not activity. Course-correct based on learning, not just completion.
How AI accelerates each phase
AI surfaces signals. Experience determines which signals matter.
Define
AI-augmented discovery - processing documentation, mapping stakeholder perspectives, and identifying patterns across organizational data.
Analyze
AI-powered analysis of current-state processes, capability gaps, and technology landscapes - at a pace human teams cannot match alone.
Execute
Automated progress tracking, intelligent documentation, and real-time risk monitoring - keeping the program honest in flight.
Disciplines in action
The framework is backed by practitioner-level depth.
D-A-E is not just a strategic frame - it's powered by the consulting disciplines that make technology change stick in complex organizations.
Define
Analyze
Execute