02Experiential Workshop

Working with AI
without unlearning.

A workshop built around real professional situations to experiment with useful uses of artificial intelligence while preserving attention, critical thinking, creativity and decision quality.

Participants learn to better distinguish what they can delegate to AI, what they need to verify, and what they must continue to do themselves.

Real-world use cases · Critical thinking · Neuroscience of learning · Active learning

The problem

AI saves us time. But which skills do we stop exercising?

Artificial intelligence is already used to search, synthesize, write, analyze, prepare for a meeting, or generate new ideas.

But when we systematically entrust it with the first thought, the first formulation, or the first recommendation, a question arises: what capabilities do we continue to truly develop?

Between rejection of AI, fascination and gradual dependence, teams are still seeking the right way to work with it.

What you have probably already tried

  • sharing a list of prompts or best practices;
  • organising a demonstration of the main tools;
  • letting each person experiment on their own;
  • drafting a usage charter with little connection to real situations;
  • banning certain tools without addressing practices already in place;
  • encouraging the use of AI without defining what must remain under human responsibility.

These approaches mainly discuss tools. They rarely address the distribution of work between human intelligence and artificial intelligence.

Yet the essential question is not simply: ‘How should we use AI?’

It is also: “When should we think on our own, when should we think with AI, and when should we choose not to use it?”

49%

conversations analyzed in Microsoft 365 Copilot already support cognitive activities: analyzing information, solving problems, evaluating and thinking creatively.

Microsoft · Work Trend Index 2026

This data is based on the analysis of more than 100,000 professional conversations with Microsoft 365 Copilot.

WHO IT IS FOR · WHAT IT IS FOR

This workshop is designed for you if…

  • your teams already use AI, but without genuinely shared practices;
  • the levels of mastery and confidence are highly heterogeneous;
  • you want to move beyond training focused solely on prompts;
  • you want to strengthen critical thinking and answer verification;
  • you are concerned about the risks of standardisation or dependency;
  • you want to clarify what can be delegated and what must remain under human oversight;
  • you want to build rules suited to the realities of your work;
  • you are looking for a participative, concrete and directly applicable format.

This format is not suitable if…

  • you are looking for in-depth technical training on a specific software tool;
  • you only want to learn how to write better prompts;
  • you expect IT integration or a cybersecurity audit;
  • you are looking for an exhaustive legal charter;
  • you want to transform all your processes in a single day.
Experience

Three stages to observe, experiment and make better decisions.

The workshop is built from the practices, professions, and real situations of the organization.

It combines reflection, experimentation, group discussion and the creation of directly applicable rules. Insights from the neuroscience of learning inform the approach without becoming a spectacular promise or a theoretical discourse.

01Observe

Make existing uses and habits visible.

Participants identify the tasks for which they are already using AI, the gains they perceive, the difficulties encountered, and the situations in which they spontaneously trust it.

This mapping reveals gaps in practices, areas of ambiguity, and common questions, without judging individuals or pitting enthusiastic users against the more cautious ones.

Start from actual uses, not assumed ones.

02Experiment

Compare what humans, AI, and their collaboration produce.

Starting from professional cases, participants perform the same task using several methods: without AI, with the help of AI, and then with a genuine phase of human verification, enrichment, and judgment.

They compare the time invested, the quality of the result, relevance, uniqueness, errors, and necessary corrections. This allows them to identify the optimal distribution of work according to the situation.

Do not organize a duel between the brain and the machine, but build the right combination.

03Build

Turn lessons into concrete rules of use.

Together, participants define what AI can prepare, propose, or automate, what must be systematically verified, and what must remain under human responsibility.

They also identify the data that should not be shared, the skills they wish to continue exercising, and a first pilot project to be conducted within the following 30 days.

Move from individual use to a collective, deliberate and responsible practice.

The challenge in figures

The more AI produces, the more strategic human judgement becomes.

49%

professional conversations analyzed with Copilot support cognitive activities: analysis, problem-solving, evaluation and creativity.

86%

Respondents state that they consider the AI's response as a starting point, rather than a final answer from which they would disengage.

46%

consider that critical thinking becomes more important as AI takes on an increasing share of the work.

Source: Microsoft Work Trend Index 2026

These results come from a survey conducted among 20,000 professional AI users in ten countries, supplemented by an analysis of usage signals from Microsoft 365.

They are familiar with the Syneva approach

What they remember from the experience.

Liliya Ezekieva demonstrates genuine expertise and knows how to convey ideas with clarity, rigor and effectiveness. She creates engaging learning experiences that encourage reflection, cooperation and the development of human skills. Highly attentive, she supports each person with care and high standards. Her professionalism, commitment and ability to create a stimulating, motivating and constructive environment are unanimously appreciated. She is a true asset to our School.
Samir HamaciDirector of Academic Programmes · ECAM-EPMIJune 2026
Liliya stands out for her ability to quickly understand executives' needs and transform complex situations into concrete projects. In negotiation as well as in relationships with various partners, she demonstrates rigor, relational finesse, and a true sense of impact. A committed, reliable, results-oriented professional who knows how to build trust in demanding contexts.
Guillaume StalterSales Department · ex-EvolisFebruary 2026
From the first sessions, I was impressed by her ability to create an authentic, natural and joyful exchange space. With her, humans are always at the center. She transformed a simple mechanism into a real driver of cohesion: both young and less young participants left enriched, inspired and eager to extend the experience.
Tatiana DaryOutsourced Sales Department · SMEs/Large CompaniesJune 2025
Where many see processes (onboarding, posture, support), Liliya creates genuine moments of alignment, connection, and engagement. With her, words take on meaning. Relationships become rooted. And teams find a coherence that is not merely measured: it is felt.
Oorvashi SimonTalent Acquisition PartnerJune 2025
Liliya played an essential role in setting up high-impact events involving major clients. Her strategic sense, analytical ability, and project management skills greatly contributed to the success of these initiatives.
Sandrine Bacon OliveiraCustomer Relations Manager for Corporate Clients · BNP ParibasMarch 2025
Format · Deliverables

What does the workshop look like in practice?

DurationA half-day—approximately 3 hours 30 minutes—or a full day
FormatIn-person experiential workshop with remote format adaptable
Headcount8 to 15 participants recommended to preserve the quality of the experiments and discussions
ProfilesFunctional teams · Managers · HR · Training · Transformation · Innovation
PrerequisitesAccess to an authorised AI tool · Two or three professional situations provided in advance · Confidentiality constraints specified

What you receive

  • a map of uses and areas requiring vigilance;
  • a matrix for deciding what to delegate, verify, preserve or perform without AI;
  • a framework for questioning generated answers;
  • principles of responsible usage adapted to business functions;
  • a list of human skills that must continue to be exercised;
  • an individual or collective experiment to conduct over 30 days;
  • a summary of the group’s decisions and lessons.

Investment

Price on request

The amount depends on the chosen duration, the level of customization, the number of participants, the business cases to be prepared, and any additional deliverables.

An initial 20-minute conversation identifies existing uses, the group’s maturity level and the expected outcome.

Designer and facilitator

Liliya Ezekieva

Founder of Syneva · Consultant · Facilitator

Liliya Ezekieva designs and facilitates learning experiences that make complex subjects understandable, tangible and easier to adopt.

Her approach combines strategic communication, active learning, relational intelligence, people-centred AI practices and the neuroscience of learning.

With over 25 years of experience in banking, real estate, luxury, entrepreneurship, and higher education, she knows how to link technological transformations to the realities of roles, teams, and organizations.

Her role is not to present a collection of tools. It is to create the conditions in which participants can experiment, step back, compare their practices and build their own rules of use.

  • ESSEC · Real Estate Management
  • Master's Degree in Law, Economics & Finance
  • AI & Neuroscience of Learning
  • Strategic communication & active learning
  • 25+ years of cross-sector experience
Go further

Create the initial spark or extend the experiment.

The conference helps create a common language among a broad audience. The sprint then allows testing one or two use cases in actual practices.

Straight answers to your questions

Five questions before designing the workshop.

What is the workshop fee?
Pricing is determined by quote based on duration, number of participants, level of customization, professional situations to be addressed, and any additional deliverables.
Is this a prompt training?
No. Prompt quality may be discussed, but it is not the workshop’s main focus. The work centres on uses, verification, quality of judgement, task allocation and human accountability.
Should participants already use AI?
No. The format can accommodate people with very different levels of experience. An approved tool is nevertheless required for the experimentation phases.
Can we work from confidential situations?
Cases must be anonymized or constructed from fictitious data, unless the organization has a secure environment and explicitly authorizes the use of the relevant data.
What happens after the workshop?
Participants leave with rules and a 30-day experiment. The organization can then continue independently or engage an Adoption Sprint to deepen one or two priority use cases.
20 minutes via video call · No commitment

Let’s start from your uses
real.

Twenty minutes to understand current practices, the profiles concerned and the professional situations you want your teams to work on.

Together, we identify the most appropriate duration, level of customisation and format.

Connect with Liliya