Consulting
Apply the loop to consequential decisions, target architecture and governed transformation trajectories.
Explore consultingExperiatech proprietary framework
10× your strategic capacity with AI—without multiplying the risk.
AI can compress research, expose alternatives and accelerate the path from an executive question to an executable decision. But speed without architecture only produces decisions that fail faster. Experiatech combines a six-stage amplification loop with a five-dimension maturity model so that increased capacity remains explainable, governed and operational.
Execution method
The Strategy Amplification Loop
AI increases strategic capacity when it strengthens an accountable decision system—not when it generates more documents. Evidence moves forward through six stages; observed outcomes return to improve the next decision.
- 01Decision charter
Frame
Name the consequential decision, accountable owner, constraints, time horizon and acceptable transfer of risk.
Decision charter · constraints · authority
- 02Evidence map
Model
Structure evidence, entities, relationships, assumptions and credible competing scenarios before asking a model for an answer.
Evidence map · semantic model · scenarios
- 03Assumption register
Challenge
Use AI and domain expertise to surface contradictions, missing evidence, failure modes and second-order effects.
Assumption register · counterfactuals · gaps
- 04Decision record
Decide
Keep human authority explicit and record the evidence, confidence, trade-offs and dissent behind the decision.
Decision record · confidence · trade-offs
- 05Target state
Operationalise
Translate intent into target architecture, controls, roadmaps, responsibilities and bounded automation.
Target state · controls · owned roadmap
- 06Outcome signals
Learn
Compare expected and observed outcomes, update governed knowledge and feed evidence into the next cycle.
Outcome signals · variance · knowledge updates
Observed outcomes improve the next frame
Experiatech 5D AI Strategy Framework
Five dimensions. Unequal coefficients of value.
The capabilities required to operate AI strategically do not contribute equal value. The most visible skill—prompting—is also the one most rapidly absorbed by products and models.
The Experiatech 5D AI Strategy Framework was developed by Franck Nganiet Sandreau to distinguish volatile technical fluency from durable enterprise capability.
- 01
Strategy
Very high coefficient
Frames opportunity, total cost, data representativeness and risk transfer before technology selection.
Can the organisation explain when AI should not be used?
- 02
Specification / Prompting
Low coefficient
Expresses intent through instructions, tools and evaluation criteria, but depreciates as interfaces improve.
Would the capability survive a change of model or interface?
- 03
Integration & Ecosystem
High coefficient
Connects governed data, identity, semantic context, production workflows and observable operations.
Can the system trace its sources, controls and downstream effects?
- 04
Critical Judgment
Very high coefficient
Tests truth through verification, confidence, known failure modes, escalation and reproducible evidence.
Can a domain expert challenge and reproduce the result?
- 05
Systemic Vision
System-level coefficient
Redesigns the value chain through governed feedback, knowledge improvement and explicit boundaries for algorithmic management.
Does the operating model learn without dissolving human authority?
The technical ceiling
Progress is not a catalogue of tools. It is a transfer of capability—from consuming fluent outputs to designing an evidence-bearing system that can challenge, act and learn.
- 01
Tourist
Uses AI as a conversational search engine.
Access
- 02
Copyist
Grafts generated output onto an unchanged process.
Convenience
- 03
Prompter / Vibe Coder
Optimises the interface and mistakes fluency for reliability.
Technical fluency
Technical ceiling: fluency ends; accountable capability begins
- 04
Practitioner
Structures sources, evaluations and human review around a real workflow.
Controlled practice
- 05
Cartographer
Models entities, relationships, provenance and temporal context.
Knowledge architecture
- 06
Agent Factory Designer
Governs permissions, behaviour, evidence and escalation across bounded agents.
Operational system
- 07
Strategist
Uses AI to redesign decisions, capability and risk across the value chain.
Systemic leverage
Field method
Start with a Minimum Viable Model—not a document dump.
Choose one consequential decision and identify five to seven entities whose relationships are necessary to explain it. Add provenance, temporal validity, ownership, preconditions and prohibited actions before expanding scope.
The result is not an immaculate ontology. It is enough governed structure for AI-assisted reasoning to be inspected, challenged and improved.
- 01
Product
- 02
System
- 03
Incident
- 04
Role
- 05
Region
- 06
Decision
- 07
Control
10×
Make the multiplier observable.
The diagnostic establishes a baseline and selects the measures that expose real leverage. Acceleration is valuable only where accountability and control remain intact.
- 01Time from strategic question to an evidence-backed decision
- 02Number and diversity of credible scenarios evaluated
- 03Material claims linked to authoritative evidence
- 04Critical assumptions actively challenged
- 05Time from decision to target-state artifacts and owned actions
- 06Strategic outcomes with observable feedback signals
- 07Rework caused by missed dependencies or downstream effects
One method. Three ways to build capability.
Training
Build the judgment and reusable methods leadership and technical teams need to run the system themselves.
Explore trainingBounded agents
Increase operational capacity while producing traceable evidence for the Challenge and Learn stages.
Explore agentsWhere could your strategy create order-of-magnitude leverage?
Start with one consequential decision. We will identify the evidence, capability gaps and measures required for a bounded strategic-capacity diagnostic.