Train your teams in generative AI
The best technology is worth nothing without adoption. Our hands-on training, grounded in your own use cases, turns your staff into independent, effective users.
Exercise 3 of 7
Turn a twelve-page report into a one-page summary.
On your own document, not ours. The trainer looks over your shoulder and adjusts the brief with you.
What's checked before moving to the next one
- Sources are cited, not summarised from memory
- Every claim can be checked in the document
- Nothing confidential left the workstation
- A human reviewer is named
A training doesn't fit in a single day
What gets decided before the session and what happens after matter as much as the session itself. Here are the three phases, and what each one produces.
Before
What gets decided without your teams
- A first conversation to understand your goals, your teams' level and your organizational constraints. Together we define the format, the length and the priorities of the program.
- From your own work situations, we select the use cases worked on during the training: writing, summarizing, research, automation. The examples are yours, not ours.
On the day
What happens in the room
- Participants apply the methods directly on their own documents: contracts, invoices, sales materials, reports. Everyone leaves with output they can use starting the next day.
- Guided exercises to build the reflexes: writing a prompt, checking a result, correcting a wrong answer. Mistakes are treated as chances to learn.
After
What stays once we've left
- Each participant receives reference materials: ready-to-use prompt sheets, a memo on data protection, a list of the tools' limits. Enough to carry on alone after the session.
- A few weeks later, a remote refresher session reviews which uses were actually adopted and clears any blockers. An open question stays possible in writing between sessions.
Not just slides
Three materials filled in during the session, on the participant's own documents, and usable alone the next day.
- Does the document contain a client name?
- Does the tool retain what I give it?
- Is there a local version of this use case?
- Goal
- Context
- Constraints
- Expected format
- 01Summarise a file before a meeting
- 02Prepare a standard reply and adapt it
- 03Extract the dates from a contract
- … and seven more, chosen for your job
Skill-building suited to every profile
From the curious employee to the executive, everyone progresses at their own level and on their own uses. Each format combines short input with practice on your real cases.
Programs designed for every role
Every training starts from participants' real work situations. Here is what each profile can do by the end.
SME leaders
Decide on facts, not impressions
Understand what AI can bring to your business, prioritize the first use cases, estimate the possible time savings and weigh up investments. The goal: decide on concrete facts, not on impressions.
Managers
Frame and assess a pilot
Identify the repetitive tasks in your team worth automating, frame pilots and assess the results produced by AI tools before rolling them out more widely.
Sales teams
Draft a proposal using half as many screens
Prepare sales proposals, qualify prospects, draft follow-ups and meeting reports. The exercises use your own materials: offers, quotes, product sheets.
Accounting and finance teams
Have a document read before it's entered
Summarize documents, prepare replies to clients, structure billing data. An accounting firm could, for example, automate the first read of the receipts it gets.
Lawyers and legal counsel
Work without the file leaving the firm
Analyze long contracts, prepare first drafts of clauses and make research more reliable. File confidentiality is a central concern, with local or offline tools where needed.
HR teams
Spot text written by a tool
Write job descriptions, prepare interview grids and summarize applications. Participants also learn to spot uncontrolled AI use in the applications they receive.
Tradespeople and micro-businesses
Reply to a client the same evening
Discover uses that are simple and quick to put in place: quotes, replies to clients, site reports, social media prep. A program deliberately short and geared toward action.
Concrete modules you can combine
Every program assembles modules to fit your needs. Here are the most requested ones, all built around practice.
- Getting to grips with generative AI tools
- Discover the main families of tools, their capabilities and their limits, and choose the ones that fit your needs. Participants learn to spot the right uses and the risky ones.
- Writing effective prompts
- Structure a clear request: context, goal, constraints, expected format. A short module that immediately improves the quality of the results you get.
- Automating repetitive tasks
- Identify the tasks that lend themselves to automation and build simple chains: preparing emails, filing documents, drafting a first version of template replies.
- Building an assistant for your role
- Design an assistant specialized on your own documents: a knowledge base, dedicated prompts, usage scenarios. Participants leave with a first, usable assistant.
- Protecting company data
- Understand what can be shared with an online tool and what must stay in-house. The module covers GDPR, local options and confidentiality good practice.
- Fitting AI into an existing process
- Take a concrete process (welcoming a client, handling a file, preparing an order) and identify the points where AI brings a real gain, without reorganizing everything that already exists.
- Checking and validating results
- AI tools sometimes get it wrong with confidence. This module teaches teams to check results, spot frequent errors and set up verification points.
- Summarizing and structuring information
- Summarize long documents, extract the key information from a meeting or a contract, prepare usable reports. A module useful to every function.
Frequent questions about our training
Answers to the questions companies ask before launching a training program.
Are technical prerequisites needed?
No. Training starts from participants' real level, including those who have never used an AI tool. The exercises build up gradually and everyone moves at their own pace.
Can the training be delivered remotely?
Yes. Every format exists on-site at your premises and remotely, by video call. The hands-on workshops work either way, with exercises adapted to each mode.
Do you adapt the content to our field?
Yes, that is the whole point of our workshops by function. The program is built from your own use cases and documents: an accounting firm does not follow the same path as an estate agency.
Who leads the training?
NexeAI consultants, who also work on AI agent and automation projects. They know the realities of implementation, not just the theory.
Is our data used to train models?
No. Your teams' data is never used to train models. We favor tools that respect confidentiality, with local options when your documents require it.
Can you train a small group?
Yes. Formats adapt from a small group of three or four people up to the whole company. Small groups even allow going further on the hands-on exercises.
Let's build your training program
Tell us who you want to train and on what uses. We'll propose a tailored program, suited to your sector and your goals.
To go further
Other formats complement this offer, depending on where you're starting from.
Workshop: frame and prototype an AI agent
Half a day in a group, with no technical prerequisites, to choose your use cases and leave with a first prototype.
AI and automation audit
Two weeks to identify the tasks you can automate, their feasibility and a 90-day roadmap.
Bespoke AI agent development
AI agents that chain steps together and use your tools, following the permissions and validation rules defined for your business.
AI audit and advisory
A review of your needs and a roadmap to get started with clear priorities.