Module D6 · Strategic Blueprint · TOM & Dashboard · Executive Leaders Track · 2026
Module D6 · Half-day · Capstone Workshop · Executive Leaders Track

Strategic Blueprint,
TOM & CDO
Dashboard

From maturity to roadmap — from business case to executive dashboard

This module is the capstone workshop of the Executive Leaders Track. It transforms the 5 preceding modules into concrete decisions: where the organization stands (maturity), where it aims to be (TOM), in what timeframe (3-year roadmap), for what return on investment (business case), and how to steer day-to-day (CDO dashboard).

Executive objectives
01Position your organization on the 5-level maturity model
02Build the Data & Agentic AI Target Operating Model
03Structure a defensible ROI business case for the Board
04Implement the CDO / Executive Committee steering dashboard
Executive Committee CDO · CIO · CEO Capstone workshop — D1→D5 recommended
Pejman Gohari · CDO · Chief AI Officer · ORBii
25 years in the field · DataLab SG · Data Factory Bpifrance · BPCE SI · DUNOD Author · IESEG Professor
academy.orbii.tech
ORBii.Academy · D6 · Strategic Blueprint, TOM & Dashboard · Executive Leaders TrackConfidential · 202601
D6 · TOM & Roadmap · 02
Section 1

The Target Operating Model — the Data & Agentic AI target organization

The Data & AI TOM is not an org chart — it is a description of how the organization will operate when data and AI are embedded in every process. It answers 4 structural questions.

Question 1 · Who decides?
The target governance structure
  • Data & AI Committee at Executive Committee level — monthly cadence
  • CDO/CAIO as Executive Committee member with direct CEO reporting
  • Data Stewards appointed in every business unit
  • AI Ethics Committee with high-risk deployment sign-off
Question 3 · What skills?
The target talent map
  • Data Scientists & ML Engineers — core value to internalize
  • Agent Product Owners — new critical role to create
  • Data Literacy — 80% of staff trained at baseline level
  • AI Supervisors — production oversight role for agentic systems
Question 2 · How do we work?
The target operating model
  • Cross-functional Data & AI squads by business domain
  • Shared data platforms — end of technical silos
  • Continuous MLOps cycle — training, deployment, monitoring
  • Human-agent orchestration documented for every critical process
Question 4 · On what infrastructure?
The sovereign target architecture
  • Hybrid cloud — sovereign for critical data, hyperscaler for the rest
  • Agentic AI platform with built-in governance
  • Data Catalog and data lineage — EU AI Act compliance
  • Production agent observability — logs, alerts, audit trail
3-year roadmap — strategic milestones
Investment and cumulative value curve — 3 years · financial sector orders of magnitude
6 M€ 4 M€ 2 M€ 0 T0 YEAR 1 YEAR 2 YEAR 3 Breakeven · ~22 months Cumulative value created Cumulative investment +93% ROI 3 years
Year 1 · Foundations
  • CDO/CAIO appointed and seated on the Executive Committee
  • EU AI Act audit and AI systems mapping
  • Shared Data Platform operational
  • 3 AI use cases in production with measured ROI
  • Data Literacy training for 50% of managers
Year 2 · Acceleration
  • 10+ AI use cases in production — 3 business domains
  • First AI agents deployed on low-risk processes
  • Full EU AI Act compliance
  • Data Literacy — 80% of staff trained
  • Digital sovereignty report to the Board
Year 3 · AI-Native
  • AI-native organization — AI in every key business process
  • Human-agent orchestration scaled across 5+ domains
  • Cumulative ROI measured and communicated to the market
  • Data & AI competitive advantage documented
  • Maturity level N4 achieved
ORBii.Academy · D6 · Strategic Blueprint, TOM & Dashboard · Executive Leaders TrackConfidential · 202602
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