ROICE-99 Delivered: Becoming the AI-Leader in 2026

Leadership Briefing

ROICE-99 Delivered: Becoming the AI-Leader in 2026

🎯 What Leaders Need to Know — In One Sentence:

AI will not replace leaders — but leaders who build ROICE-99 Competence Systems will replace those who don’t.

1. Why ROICE-99 Matters in 2026

Traditional success metrics (ROCE, EBITDA, NPS) measure efficiency, not transformation.
ROICE-99 (Return on Innovation, Convenience & Efficiency) is the new leadership score —
it measures how well an organization uses AI to generate scalable value and sustained advantage.

Traditional FocusROICE-99 Focus
CostsInnovation & Transformation
ReportingReal-time Steering
EffortConvenience
Efficiency onlyEfficiency × Innovation × AI × Scaling
Individual skillCompetence System

ROICE-99 turns AI hype into measurable leadership performance.

2. The ROICE-99 Equation

ROICE-99 = (Innovation × AI × Convenience × Efficiency) − Waste + Insight

This is not a financial ratio —
It is a leadership competence score, defining how well AI is translated into sustained value.

3. Leadership Journey — From Manager → AI-Leader

LevelLeadership IdentityROICE Score
Level 1Process Controller40–60
Level 2Optimizer60–75
Level 3AI-Driven Value Architect75–90
Level 4ROICE-99 Leader (scalable system builder)90–99

Only Level 4 Leaders build AI-driven competence systems that scale beyond individuals into ecosystems.

4. The 3 Engines That Drive ROICE-99

ROICE EngineStrategic QuestionAI Role
InnovationAre we solving meaningful problems faster than competitors?Generate, test, prioritize ideas
ConvenienceDo customers and employees experience simplicity?Personalization, self-service, automation
EfficiencyAre we continuously eliminating waste and delays?Predictive, automated, optimized execution

AI-Leaders design these three engines — not just manage people or tasks.

5. How AI-Leaders Create Measurable ROICE-99 Impact (in 90 Days)

PhaseLeadership FocusAI Contribution
Days 1–30Diagnose ROICE Baseline & Identify 5 key leversAI Data Mining & Predictive Insights
Days 30–60ROICE Sprint: Improve speed, convenience, qualityAI Workflow Automation, Co-Pilot
Days 60–90Scale: Convert success into a repeatable systemAI Playbooks, Dashboards, Knowledge Bots

Target: +15 to +25 ROICE points in the first quarter
Proof: The system, not the project, delivers performance.

6. Strategic Impact — Why ROICE-99 Leaders Win

DomainROICE-99 Outcome
CompetitivenessAI-enabled transformation faster than competitors
Customer24/7 convenience + personalization
Financial+30–50% return on AI investments
Operational40–80% faster cycle time reduction
LeadershipFrom “I lead people” → “I lead ROICE engines”

7. CEO Call to Action — What To Do Now

WeekLeadership Action
Week 1Launch ROICE Baseline Assessment (AI-powered)
Week 2Define 5 ROICE-99 Levers & Assign Sprint Owners
Week 3Begin First AI-Driven ROICE Sprint (90-day cycle)
Week 12Present ROICE Improvement and Scaling Plan

Start with ROICE, not AI Tools. AI is the vehicle. ROICE-99 is the destination.

🔴 Final Leadership Insight

❝ AI will not disrupt your business.
But businesses that master AI-driven ROICE will disrupt yours. ❞- Josef David

RapidKnowHow

ROICE-99 Tree

Levers that Impact the AI-Driven ROICE

ROOT NODE

  • ROICE-99 (Return on Innovation, Convenience & Efficiency)
    • Target: 0–99 index score for each business unit / process.

1. Innovation Engine (I)

  • 1.1 Problem Discovery & Insight
    • Depth of customer insights (interviews, data, complaints)
    • Market & trend scanning
    • AI levers:
      • NLP on feedback & complaints
      • Trend mining, news & patent monitoring
  • 1.2 Solution Design & Experimentation
    • Number & quality of new ideas
    • Speed of prototyping / testing
    • AI levers:
      • AI-assisted concept generation
      • Scenario & simulation tools
      • Automated A/B test design
  • 1.3 Portfolio & Pipeline Management
    • Share of revenue from new offers
    • Innovation funnel conversion rates
    • AI levers:
      • Project scoring & prioritization
      • Risk/return simulations
      • Dynamic portfolio dashboards
  • 1.4 Monetization & Business Model Innovation
    • Shift from product to X-as-a-Service
    • Recurring revenue share
    • AI levers:
      • Pricing optimization
      • Churn prediction & upsell targeting
      • Subscription/usage analytics

2. Convenience Engine (C)

  • 2.1 Access & Availability
    • Ease of access (channels, opening hours, digital)
    • Time to find the right solution
    • AI levers:
      • Intelligent search & recommendation
      • 24/7 virtual assistants
      • Smart routing to right channel / expert
  • 2.2 Simplicity of Journey
    • Steps in the customer journey
    • Drop-off rates per step
    • AI levers:
      • Journey analytics & friction detection
      • Auto-fill, smart forms, next-best-action
      • UX copy and guidance generation
  • 2.3 Self-Service & Automation for Customers
    • Self-service adoption rate
    • First-contact resolution without human
    • AI levers:
      • Self-service portals & chatbots
      • Knowledge graph / FAQ automation
      • Document & contract automation
  • 2.4 Trust, Transparency & Communication
    • NPS / CSAT / complaint rate
    • Perceived fairness & clarity
    • AI levers:
      • Personalized, proactive status updates
      • Explainable pricing & decisions
      • Tone-of-voice checks and coaching

3. Efficiency Engine (E)

  • 3.1 Process Speed & Flow
    • Lead time (quote → order → delivery)
    • Queue time, waiting time
    • AI levers:
      • Process mining to detect bottlenecks
      • AI schedulers for production / logistics
      • Predictive workload balancing
  • 3.2 Quality & Reliability
    • Error / rework rate
    • On-time, in-full performance
    • AI levers:
      • Anomaly detection (IoT, sensors, data)
      • Predictive maintenance
      • Automated quality checks
  • 3.3 Resource Utilization
    • Capacity utilization (machines, people)
    • Overtime, idle time, scrap
    • AI levers:
      • Optimization models (routing, loading)
      • Workforce planning & shift optimization
      • Smart inventory & reorder suggestions
  • 3.4 Cost & Capital Efficiency
    • Cost per transaction / unit
    • Working capital, inventory turns
    • AI levers:
      • Spend analytics & supplier optimization
      • Dynamic safety stock calculations
      • Cash-flow forecasting

4. Enabling Layer (Cross-Cutting AI & Governance Levers)

These levers support all three engines:

  • 4.1 Data Foundation
    • Data quality, integration, access rights
    • Single source of truth for KPIs
  • 4.2 AI & Automation Platform
    • Standardized tools (copilots, bots, workflow engines)
    • Reusable components for new use cases
  • 4.3 Competence & Culture
    • ROICE-competence profiles per role
    • AI literacy & experimentation culture
  • 4.4 Governance & Ethics
    • Clear ownership of ROICE drivers
    • Guardrails for responsible AI usage

Compact ROICE-99 for AI-Leaders

ROICE-99
 ├─ Innovation Engine (I)
 │   ├─ Problem Discovery & Insight
 │   ├─ Solution Design & Experimentation
 │   ├─ Portfolio & Pipeline Management
 │   └─ Monetization & Business Model Innovation
 ├─ Convenience Engine (C)
 │   ├─ Access & Availability
 │   ├─ Simplicity of Journey
 │   ├─ Self-Service & Automation
 │   └─ Trust, Transparency & Communication
 ├─ Efficiency Engine (E)
 │   ├─ Process Speed & Flow
 │   ├─ Quality & Reliability
 │   ├─ Resource Utilization
 │   └─ Cost & Capital Efficiency
 └─ Enabling Layer (Data, AI Platform, Competence, Governance)

2025 RapidKnowHow + ChatGPT

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