AI training for your team
Practical training and coaching on your team's work. Build the skills to use AI, the judgment to check its answers, and methods your colleagues can reuse.
Start with a shared foundation or build on the training you already have.
For SMEs and larger organizations. Delivery in French and English.
Build a common foundation or help experienced teams take the next step. Your starting point matters more than company size.
About four weeks: two 90-minute foundation sessions and a three-hour workshop, with review and feedback.
Review current tools and uses. Draft or align your AI policy and practical guidance, with decisions and approval held by your designated owners.
Practise briefing AI, selecting context, checking sources and numbers, and involving the right colleague.
Work on relevant tasks in a guided workshop. Review the results and prepare a method you can use again.
Your team keeps practical rules, checked work, reusable instructions, task cards and program materials in INTO Learn.
Discuss your team's trainingFour three-hour sessions with practice between them, usually over about five weeks per cohort. Governance advisory and train-the-trainer support are scoped separately.
Choose one worthwhile workflow. Map its inputs, decisions and handoffs. Define a good result.
Develop the method using approved tools and permitted work materials.
Try difficult cases, find weak points and improve the method.
Prepare it for another user, record its limits, name an owner and agree how it stays current.
Work toward a workflow pack with instructions, references, tests, known limits and ownership. If it is not ready for use, the remaining work and decision owners are explicit.
Discuss your departmental programFormats are indicative. Participation, preparation, support and timing are agreed during scoping.
Checked work, reusable task cards and departmental workflow packs make the learning available to the next person.
Relevant tasks, approved tools and permitted work materials. Clear checks before anyone relies on the result.
Research helps explain the opportunity and why the work still needs checking.
15%
A published study of 5,172 customer-support agents found this average gain from an AI assistant. Benefits differed by experience.
One AI-supported workflow, not a forecast for your team or a result of INTO training.
Brynjolfsson, Li and Raymond · Quarterly Journal of Economics, 2025Two fictional examples. Choose an answer and explore the reasoning. These are demonstrations, not tests of your skill.
Would you send this?
Delivery is expected Friday. Operations must confirm the date. No discount has been approved.
AI drafts: “Your order will arrive Friday, and we've applied a 10% discount.” What should happen next?
Clear instructions help. Checking still matters. The source does not confirm Friday or authorize a discount; verify both with the responsible people before sending.
Ready for the team?
A colleague's report-summary workflow worked on two examples. The team wants to use it next week. It has no named owner and no checks for missing or conflicting data.
A useful personal method needs more structure when others depend on it. Define tests, limits and ownership, then follow the approved sharing and review route.
Research with consultants found that AI's usefulness varied across tasks. We teach people to judge the task and inspect the result. That teaching choice is our design inference, not a finding about this program. Read the HBS research summary
Give colleagues the instructions, checks and context they need to carry the work forward.
Guided practice builds capability. Resources help people return to the method. Additional support can help them adapt.
Return to the course materials, practical guides, templates and working resources from your program. Refresh a method, revisit a check or prepare for the next task.
CORA can add an intelligence layer that helps your people apply what they have learned and adapt as their work, tools and needs evolve. We discuss its role and scope with you.
An 89-study meta-analysis found a positive relationship between supportive work environments and applying training on the job. It supports attention to workplace support; it does not establish the effectiveness of INTO Learn or CORA. Read the training-transfer research
Seven questions to reflect on your company's AI practices and identify a priority. See your result immediately. No email required.
An indicative self-assessment based on your answers, not a certification or a test of individual skill.
Yes. It combines guided learning, work on relevant tasks, review and feedback. The program is scoped to your team's starting point and the work you want to improve.
With what is already working and the gap you want to close. We can focus on selected departments, shared workflows or internal trainers.
INTO Learn gives participants access to the resources supplied with their program. Access arrangements and any internal trainer-kit licence are specified in your offer.
For foundations, the people who need a shared way to brief and check AI. For departmental work, the people who do the task, its owner and relevant reviewers. We agree participation and preparation with you.
We record its limits, remaining work and the people responsible for the next decisions. A workshop prototype is not automatically a production system.
Yes. We agree the languages and delivery arrangements with you.
No. We can discuss it as additional support for applying learning and adapting as your work changes. Its role and scope are agreed separately.
Review, practice feedback and between-session support depend on the program. Your offer specifies the format, allowance and period, so your team knows what to expect.
We establish which tools and information your people may use. SME engagements can include drafting or aligning a policy. In larger organizations, advisory can work with existing governance. Your authorized owners decide and approve the rules.
We agree the approved tools and relevant exercises during scoping. The program does not require everyone to move to one AI tool.
Seven questions help you reflect on your company's AI practices and identify a priority. Results appear immediately without an email address. It is an indicative self-assessment, not a certification, individual skills test or automatic program recommendation.
Putting intelligence to work.
Tell us where your people are today and which work you want to improve. We'll discuss a useful starting point, who should participate and what the engagement could deliver.
