AI people adoption and transformation

Emerton Data helps large organizations turn AI investments into everyday performance. Through the Emerton Data AI Academy, our consultants design and deliver AI training and upskilling programs for every audience, from executive committees to operational and technical teams. We combine ExCom workshops on AI, future modelling and design fiction, role-based training on generative and agentic AI, and continuous adoption tracking, so that AI moves from pilots to measurable impact across the business.

Our vision

Technology creates potential, but people deliver performance.

AI is a paradigm shift, not just another tool. Autonomous agents now carry out complex workflows with a speed, precision and scale that were out of reach a few years ago. Yet many organizations see the same pattern: licenses are deployed, pilots multiply, and usage stays shallow. Transformation fails when adoption lags.

Since 2023, AI has reset the pace of change in large companies. Jobs must evolve as fast as the technology, which creates three imperatives at once: training continuously and at scale, at every level of the organization; staying agile on technology choices that are constantly called into question; and renewing use case and agent roadmaps on an ongoing basis. Few organizations can meet this triple challenge on their own.

Organizations are transformed by people, starting with their leaders. Executives who experiment with AI themselves create the safe environment in which teams feel confident to change how they work. Managers succeed in the agentic age less through coding skills than through strategic questioning: what to delegate to an agent, how to brief it, and how to review what comes back. And teams learn by taking action on real missions, not by passive observation.

Three AI adoption challenges facing large organizations

Moving beyond basic prompting: how to move teams beyond basic prompting to agentic briefing and workflow specification
Redesigning processes around agents: how to redesign processes around agents, rethinking responsibility, trust and workflow management between humans and agents
Governing and measuring adoption: how to turn scattered experimentation and shadow usage into governed, measurable adoption

Our AI training and adoption offer

AI maturity assessment and adoption roadmap by business function

Maturity assessment by business function, based on leadership and team interviews
Mapping of current AI usage, including shadow AI, and of AI literacy gaps against EU AI Act Article 4 requirements
Recommendations on the adoption approach, the starting point and the upskilling roadmap

ExCom workshops on AI and executive education

Strategic briefings that align leadership on the opportunities opened by agents and set the organizational agenda
Half-day executive committee sessions combining generative and agentic AI fundamentals, sector-specific applications and ideation workshops, delivered for groups operating in up to 60 countries
Function-specific sessions for leadership communities, such as generative AI for finance directors or AI use cases and demonstrators for HR
Learning expeditions for top management and AI and R&D leaders, for example at CES in Las Vegas
Programs that help managers translate AI priorities into roadmaps and drive initiatives within their teams

Design fiction and future modelling workshops

Foresight workshops that picture how each job will look in 2030–2035 with AI, to explain why roles are changing, align leaders and teams on a shared direction, and reveal which skills and use cases to prioritize

Role-based AI training and upskilling at scale

General AI training for all job functions, levels and geographies, and role-specific training on the tools each team uses (Copilot, ChatGPT, Gemini, in-house solutions)
Accelerator program for AI champions, with hands-on workshops, customized “power prompts” and agent sessions
Large-scale deployment, from small teams to building a complete corporate AI Academy for a CAC 40 group, with several hundred employees trained
Continuously updated content on generative AI, agentic AI, AI risk management, digital sovereignty and the evolving regulatory landscape (EU AI Act and international frameworks)

Use case prioritization and agentic process redesign

Ideation and prioritization sessions that rank use cases by business impact and feasibility
Mapping of existing processes to embed specialized agents where they create value
Use case and agent roadmaps that are refreshed regularly as technologies and business priorities evolve

Measuring AI adoption: champions, rituals and dashboards

Adoption questionnaires and dashboards that track usage by team, function and geography over time
A community of AI champions and engagement rituals that anchor new practices in day-to-day work
Governance that turns shadow AI into secure, approved and measurable usage

Our approach: understand, project, experiment, embed

An end-to-end program tailored to your AI maturity, whether you are exploring and activating first uses, piloting and standardizing, or scaling and integrating AI into core business processes.

Understand: the fundamentals of generative and agentic AI, security, data and the regulatory framework.
Project: design fiction and future modelling to picture how your jobs will look in 2030–2035.
Experiment: hands-on workshops on your own use cases and tools, with power prompts and agents.
Embed: AI champions, communities, rituals and dashboards to measure and sustain adoption.

By combining role-based enablement, process reimagining and continuous adoption tracking, we make sure your workforce feels confident, empowered and ready to lead in the age of AI.

Why choose the Emerton Data AI Academy

AI practitioners as trainers: our trainers are consultants who design and deploy AI and agentic solutions for our clients, not full-time instructors.
Training linked to business value: every learning path starts from your use cases, prioritized by business impact and feasibility.
The future made tangible: design fiction and future modelling give meaning, mobilize teams and set a shared direction.
Measured adoption: questionnaires, dashboards and engagement rituals anchor new practices over time.
End-to-end AI expertise: from data and AI strategy to custom use cases and solutions, Emerton Data covers the full AI value chain.
Recognized excellence: ranked among the global top 10 enterprise AI transformation consulting firms by Management Consulted, among the top 10 consulting groups worldwide for talent density, and the 3rd most selective consulting firm in Europe according to Vault.
A unique ecosystem: R&D activity backed by world-class research as co-founders of the Fondation Lagrange, whose scientific council includes four Fields Medal laureates.
International and cross-sector reach: 90+ experts across 4 entities and 6 offices (Paris, London, Munich, New York, Montreal, Hong Kong), and 100+ clients in banking, insurance, private equity, healthcare, energy, consumer goods, luxury and the public sector, across Europe, Africa, Asia and the Americas.

Frequently asked questions about AI adoption and AI training

What is AI people adoption and transformation?

AI people adoption and transformation is the work of getting employees to actually use AI in their daily jobs and of redesigning processes around it. It covers AI training and upskilling, leadership alignment, process redesign around agents and the measurement of usage. Without it, AI licenses and pilots rarely translate into business performance.

What does Article 4 of the EU AI Act require regarding AI literacy?

Since February 2025, Article 4 of the EU AI Act requires providers and deployers of AI systems to take measures to ensure a sufficient level of AI literacy among their staff and others using AI on their behalf. In practice, companies need a structured, documented AI training approach adapted to each role and to the AI systems in use.

What happens in an ExCom workshop on AI?

A typical executive committee workshop on AI lasts half a day. It combines a clear overview of generative and agentic AI, concrete applications in the company’s sector and an ideation session to identify priority use cases. The goal is to align the leadership team on opportunities, risks and an organizational agenda for AI.

What is future modelling, and how does design fiction help AI training?

Future modelling and design fiction are foresight methods that describe plausible future scenarios, here how each job will look in 2030–2035 with AI. Used in training, they explain why roles are changing before teaching how to use the tools, align leaders and teams on a shared direction, and reveal which skills and use cases to prioritize.

Which AI tools do your training programs cover?

Our programs cover the tools your teams actually use, including Microsoft Copilot, ChatGPT, Gemini and in-house AI solutions, as well as AI agents. General AI literacy modules are complemented by role-specific training, hands-on workshops and customized power prompts.

Can you deploy AI training across a large international organization?

Yes. We train all job functions, levels and geographies, from small expert teams to the full build-out of a corporate AI Academy for a CAC 40 group, with several hundred employees trained. Our teams work from six offices in Europe, North America and Asia, and deliver locally on projects worldwide.

Who delivers Emerton Data AI Academy training?

Our training is delivered by Emerton Data consultants who combine AI expertise and business consulting skills, and who design and deploy AI and agentic solutions for clients. This keeps every session grounded in real projects and current practice.