McKinsey
McKinsey Global Institute
2024
2024
60 to 70 % of working time potentially automatable by generative AI.
— The economic potential of generative AI
Understand the impact of AI
on your jobs.
A precise, role-by-role diagnostic to decide with clarity.
You provide
Template_analyse_Commodum.xlsx Analysis running
EntityDepartmentRoleFTESalaryCode
Acme France Data & AI Data scientist 42 $62,400 2511.4
Acme France Finance Controller 18 $54,200 —
Acme Iberia Operations Supply chain manager 7 $58,900 1324.2
Acme DE HR Talent acquisition 5 $48,800 —
Acme France Tech Lead developer 11 $78,500 2511.4
923
roles mapped
19,000
qualified tasks
2 wks
deliverable
Available this week — reply within 48 h.
923 roles mapped 19,000 qualified tasks 17 sectors 7 min time-to-value 2 wks diagnostic deliverable 923 roles mapped 19,000 qualified tasks 17 sectors 7 min time-to-value 2 wks diagnostic deliverable
What the research says
The transformation of work by AI has been announced for years.
Source
Year
Finding
World
World Economic Forum
2025
2025
170 M jobs created, 92 M displaced by 2030. 22 % of the labour market transformed.
— Future of Jobs Report 2025
OECD
OECD
2023-2024
2023-2024
27 % of jobs at high risk of automation; 60 % of workers say AI has improved their performance.
— Employment Outlook
Orders of magnitude
300 M
jobs exposed worldwide.
Goldman Sachs · Generative AI and the Global Economy · 2023
49 %
of occupations already use AI for at least a quarter of their tasks.
Anthropic Economic Index · 2025
Consensus
Every sector and every function is affected — very unevenly.
Manual occupations roughly 15 to 20 %. Cognitive occupations roughly 75 to 85 %. Your organization has its own profile — actual exposure varies by role, sector and AI maturity.
The market in numbers
Twenty-two percent of jobs will structurally change by 2030.
For a mid-cap organization, that is one role in five whose content will fundamentally evolve. Organizations that pilot the change capture five times more AI-related revenue.
22 %
McKinsey · WEF · OECD
The problem
These numbers do not speak about your organization.
Running a transformation today without precise data is running a construction site without a plan.
The unanswered questions
-
01
Among your teams, who is actually exposed to AI — and on what horizon?
-
02
Across your divisions — customer support, administration, accounting, human resources — which tasks will evolve first?
-
03
Who do you train, when do you hire, how do you open social dialogue on facts?
-
04
How do you build a credible transformation plan when you sit between two worlds — too large to ignore, too agile for a €300K engagement?
What Commodum does
From abstract AI to concrete decisions.
A four-step method — from your list of roles to a quantified action plan, with no access to your systems.
The method
-
01
HR data.
You send us your list of anonymized roles — a single Excel sheet, no personally identifiable data.
-
02
Consultant validation.
Our consultant validates and adjusts the role profiles to your operational reality.
-
03
Analysis & scoring.
Breakdown into unit tasks, AI scoring task by task. 923 occupations, around 19,000 tasks. Technology-agnostic.
-
04
Report & debrief.
The consultant delivers the report and walks through it live with you and your executive team.
The COMEX mirror
One dataset. Five readings.
The same anonymized dataset, read through five executive perspectives.
- 01 / 05
CEO · Strategy
A 6 / 12 / 24-month roadmap.
Transformation opportunities, processes to free up first, sequenced investment across six, twelve and twenty-four months. Outcome: complete strategic alignment across the organization.
- 02 / 05
CHRO · Augmented workforce planning
Three scenarios: accelerate, transform, protect.
Exposure rates by role, top tasks to evolve, three actionable scenarios — accelerate high-leverage roles, transform roles requiring fundamental reskilling, protect roles needing human scaffolding. A factual foundation for workforce dialogue and skills anticipation.
- 03 / 05
CFO · P&L impact
Auditable ROI, wave by wave.
ROI per wave, three-year training budget, projected net savings after transformation costs. Auditable attribution methodology, fit for board review.
- 04 / 05
CIO · Technical roadmap
Quick wins before structural programs.
Data maturity per process, immediate quick wins, structural programs sequenced behind them with clear technical feasibility and dependencies.
- 05 / 05
CSO · CSRD & ESRS S1
Aligned with extra-financial frameworks.
Documented social impact, employment anticipation, CSRD and ESRS S1 indicators ready for your sustainability report.
+ Pour chaque collaborateur
And for every employee — an individual roadmap: how their role evolves, which skills to build, and the new missions that freed-up time makes possible.
Why now
The acceleration is threefold.
01
Technological
Automation potential has nearly doubled in two years. What was a projection has become a technical reality.
02
Competitive
The gap between those who steer and those who absorb is measured in multiples — not percentages.
03
Regulatory
Legal frameworks are evolving toward a clear requirement: document and anticipate AI impact on jobs.
What is changing in France
Framework
EU AI Act · GEPP · CSE · CNIL
Deadlines
- EU AI Act high-risk obligations — August 2026, or December 2027 under the Omnibus.
- Triennial GEPP, mandatory works-council consultation from 300 employees.
Why Commodum
Three differences that change everything.
Your data, not benchmarks.
The simulator plugs into your HRIS. Results are specific to your organization, not another industry average.
Model-agnostic.
Compatible with Copilot, Gemini, Claude, Mistral. No vendor lock-in. Change AI tomorrow — your skills follow.
From diagnostic to action.
No 200-page report. Self-learning skills deployable immediately on your existing AI tools.
The three-tier offer
Three formats. One methodology.
Match the investment to the level of decision — from macro potential to operational deployment.
N1
Recommended start
Strategic
Estimate the potential and identify the priorities.
- AI impact projected task by task
- Quantified gain potential by volume
- Dedicated reports per division — CEO, finance, HR, IT, sustainability
- Delivered in two to three weeks
N2
Deepening
Operational
Turn intuition into an action plan.
- Model recalibrated to your operational reality
- Fine-grained analysis by entity and by team
- Before / after role projections
- Prioritized action plan, ROI sharpened against your real data
Focus N1 · Strategic
An objective view of the AI potential, in three weeks.
Precise identification of the divisions and roles with the highest impact — you know where to focus, and where not to invest.
Scope
- Input: role profiles, headcount, salaries
- Task-level breakdown and AI impact
- Consolidation and synthesis per profile
- Gain calculation by volume
- Deliverable: one report per division
Planning · three weeks
-
Framing & preparation
Kick-off, template collection, initial processing of your data by the Commodum engine.
Week 1
-
Analysis
Result analysis, mid-point review meeting, report drafting.
Week 2
-
Debrief
Presentation of results, identification of priority entities for a potential N2.
Week 3
Focus N2 · Operational
From intuition to actionable certainty.
A change of posture: co-construction with your teams. At the end of N2, a clear, quantified, immediately actionable plan.
Scope
- Input: detailed data per team
- Model recalibration to your organization
- Fine-grained task analysis per role
- Action plan prioritized by entity
- ROI sharpened against your real data
Planning · ten weeks
-
Framing & field anchoring
Kick-off workshop, task mapping, inventory of ongoing AI initiatives.
Weeks 1-2
-
Operational analysis
Fine-grained per-team analysis, first impact projections, quick wins identified.
Weeks 3-6
-
Lever co-construction
Role workshops, use case prioritization, action plan construction.
Weeks 7-8
-
Debrief & arbitration
Executive presentation, priority validation, identification of cases to launch in N3.
Weeks 9-10
Commodum.ia subscription
Your role repository becomes a living asset.
AI evolves continuously. Your analysis cannot stay frozen.
Scope
- Access to our AI impact database — 900 roles, over 20,000 qualified tasks
- Quarterly update of your analyses and identification of new use cases
- Continuous reassessment of potential gains
Every quarter, you receive
- 01 An update on AI impacts across your roles.
- 02 Identification of new actionable levers.
- 03 An update to your priorities and projected ROI.
And the N2 work?
- The repository built during N2 is enriched and maintained over time.
- The action plan becomes evolutive and continuously refreshed.
- New AI capabilities reinforce existing gains, unlock new use cases, and accelerate the transformation.
You move from a plan to a dynamic trajectory.
Your contribution
No personal data. No access to your systems. An Excel export is enough.
- 01
Role titles
The list of your titles across the organization — customer support, administration, accounting, human resources, etc.
- 02
Headcount per role
Number of employees per profile. No names.
- 03
Sector confirmed
Confirmed at kick-off. All sectors handled.
- 04
HRIS required?
No. An Excel export or a simple table is enough.
Trust
Your data, completely isolated.
01
Deployable entirely on your own infrastructure — on-premise option available from day one.
02
Isolated processing environment, with cryptographic separation between client engagements.
03
Zero dependency on third-party cloud providers. No data leaves your perimeter unless you authorize it.
On-premise by default Anonymized data GDPR-native AI-agnostic AES-256 encryption Sovereignty Prize 2026
Created by the team awarded the European Technological Sovereignty Prize 2026 — AI category.
What's next
Three next steps.
-
This week.
You send us your list of role profiles.
-
Within 48 hours.
You receive the commercial proposal with a personalized budget simulation.
-
Upon agreement.
NDA signature and consultant framing kick-off. Start within five working days, deliverable in two weeks.
Your contact
Vincent Talvas
Contact form
Or write to us directly.
Describe your scope — entity, headcount, sector — and we will reply within 48 hours with a quantified proposal.
Frequently asked
The questions we hear most often.
-
01 How long does the diagnostic take?
Two to three weeks for a Level 1 (strategic study), ten weeks for a Level 2 (deep operational study). Kick-off happens within five business days of signature.
-
02 What data do we need to provide?
An anonymized list of your roles — title, department, headcount, average salary — in Excel format. No personally identifiable data is required. The Commodum template is provided at kick-off.
-
03 Are we compatible if we already use Copilot, Gemini or Claude?
Yes. Commodum is fully model-agnostic. The analysis works regardless of your current AI stack. If you change vendor tomorrow, your results remain valid.
-
04 How do you secure our HR data?
Systematic anonymization before processing, AES-256 encryption in transit and at rest, hosting on European sovereign infrastructure. On-premise option available for organizations that request it.
-
05 Do we need HRIS integration?
No. An Excel export is enough. We work in push mode: you send the data, we never connect to any of your systems.
-
06 Could the diagnostic disrupt social dialogue?
On the contrary — it was designed to feed it. The diagnostic provides a factual basis for discussions with employee representatives: not opinions, data. Organizations that rely on it are 4× more likely to succeed in their transformation.
-
07 Is the report confidential?
Yes. The deliverable is under NDA, for strictly internal use. No sector benchmark is shared without your explicit authorization. Your data is never used to train third-party models.
-
08 What happens after the diagnostic?
Depending on your needs: operational deep-dive (Level 2), Commodum.ia subscription to refresh the diagnostic every quarter, or simple annual follow-up. No obligation to continue.