Help your team use generative AI better
A practical, hands-on introduction to the tools, methods and habits that make generative AI genuinely useful at work.
What your team will learn
What generative AI can and cannot do
How to write effective prompts
How to improve, verify and refine AI-generated results
✅ How to use AI for research, writing, analysis and ideation
How to automate or accelerate repetitive tasks
How to protect confidential information
How to recognize hallucinations, bias and unreliable output
RESEARCH IN NUMBERS
What studies show
about AI at work.
Saved per week
Employees trained in AI reported saving 11 hours a week, compared with 5 hours for those without training.
LSE & Protiviti · 2025of AI-trained employees use AI at work
Compared with just 57% of employees without AI training.
LSE & Protiviti · 2025Higher quality scores
In a study of 758 BCG consultants, AI-assisted work scored over 40% higher on tasks suited to AI.
Harvard / BCG study · 2023
Your learning Journey Experience Program
Get to know the group, understand each participant’s background, goals, and current use of AI so the session can be tailored to real needs.
Example: one participant may want to save time at work, while another wants to use AI for content creation, research, or personal projects.
Build a clear foundation of how generative AI works, what today’s tools are capable of, and where human judgment is still essential.
Example: understand why ChatGPT can produce impressive answers but can also make mistakes, invent information, or give different results depending on how you ask.
Discover 10 practical business scenarios and explore 10+ different AI tools to understand what’s possible and spark new ideas for your own work, projects, or business.
Examples: automate a repetitive task, build an AI assistant, create a presentation in 5 minutes, generate content, or streamline everyday workflows.
Learn how to write better prompts and turn your ideas into high-quality content across different formats. You’ll practice creating text, images, videos, and audio using generative AI tools.
Examples: write a marketing post, generate a branded image, create a short video concept, or produce a voiceover in minutes.
Build practical AI workflows for everyday tasks instead of relying on isolated prompts. Learn to break a task into steps, provide the right context, review each output and decide which parts should stay under human control.
Examples: turn meeting notes into a checked action plan and draft follow-up email, organize research into a presentation, or improve a repetitive administrative task. You will focus on useful results, accuracy and time saved, not just generating more content.
Distinguish rule-based chatbots from AI-powered conversations, then explore agentic systems that plan steps, use tools and adjust their actions toward a goal. An AI assistant can use agentic capabilities, but a conversational interface alone does not make it an agent.
Example: an agent researches public information, compares options against your criteria and prepares a recommendation. You define its permissions, check the result and require approval before it sends messages, spends money or changes important information.
Learn where automation can help and where testing, privacy safeguards and human oversight remain essential.
Wrap up the Masterclass with key takeaways, final questions, and time to connect with other participants.
Examples: share what you want to implement next, exchange ideas, discuss use cases, and meet people with similar interests in AI.
AI training for your teams
See what your team could build with AI.
Practical training built around your business. Turn your documents, data and everyday tasks into useful AI workflows.
An AI assistant that handles calls.
Answer incoming calls, book appointments and make confirmation or customer follow-up calls. Pass complex requests to your team.
Turn Instagram DMs into opportunities.
An AI assistant answers questions about your campaigns, current promotions and services, then guides people toward the next step.
A prospecting agent for LinkedIn.
Find relevant prospects, research their companies and prepare personalized outreach and follow-ups for your team to review.
Build your product launch video.
Create a 30-second motion design video, from script and storyboard to animated visuals, voice-over and channel-specific versions.
Turn customer feedback into your next product concept.
Analyse reviews and customer feedback to uncover unmet needs, then develop clear concepts for your product team to evaluate.
AI training built around your organization
A tailor-made generative AI program based on your industry, your team’s workflows and the challenges they actually face.
When standard training is not enough
✅ Examples drawn from your industry
Exercises based on real internal workflows
✅ Training connected to specific AI tools
A program aligned with internal policies
Advanced or specialized content
A strategy for your team's learning
Your goals shape the program.
We build your learning path around your team’s priorities, experience and real workflows. Here’s how it could look for a Digital Marketing team.
Understand your team.
Identify your objectives, current skills and the tasks that take the most time.
Digital Marketing exampleMap how your team plans campaigns, produces content and handles incoming messages.
Prioritize the opportunities.
Select the uses of AI that offer the most value and fit your resources.
Digital Marketing exampleChoose where to start: faster content production, better Instagram responses or clearer campaign analysis.
Build your learning path.
Design modules and hands-on exercises around real work, with skills adapted to each role.
Digital Marketing exampleTrain with your brand guidelines, offers and an upcoming campaign. Each team member practises the workflows they need.
Test, measure and improve.
Test the workflows, define review standards and measure progress before refining the approach.
Digital Marketing exampleCompare production time, content consistency and response quality, then adjust your team’s methods.
AI Keynotes :
Big ideas, human stories and fewer boring slides
Engaging talks about artificial intelligence, technology, innovation, creativity and the future of work, delivered with clarity, energy and humor.
Exemple topics :
✅ Generative AI and the future of work
✅ Augmented intelligence: humans working with machines
✅ Creativity in the age of AI
Innovation without the hype
✅ From fear of AI to practical curiosity
Keynotes - Stand Up : Where AI Expertise Meets the Comedy Stage.
Exemple topics :
✅ A new generation of corporate events is combining expert insight with live entertainment.
✅ The keynote delivers credible perspectives on AI, innovation, technology and the future of work.
✅ Stand-up comedy makes complex ideas more accessible, human and memorable.
Every performance can be tailored to your company, industry, audience and event theme.
✅ It is a distinctive format that informs, energizes and gives people something worth talking about.
Arman, our founder, began honing his comedy in France and now performs in New York City at venues such as Gotham Comedy Club and Comic Strip Live
Consulting : From AI ambition to practical action
Strategic and hands-on support for organizations that want to identify the right AI opportunities, improve workflows and move forward with clarity.
AI consulting is designed for organizations that:
✅ Want to adopt generative AI but do not know where to begin
Need to identify high-value use cases
✅ Want to improve an existing AI initiative
Need an outside perspective on their tools or workflows
Want to turn experimentation into an actionable roadmap
AI consulting for your business
Where will AI actually make a difference?
Start with your business challenges. We help you decide where AI adds value, what to test first and how to measure the results.
Find your best opportunities.
“We have plenty of AI ideas. Which ones are worth pursuing?”
A shortlist of use cases ranked by expected value, effort and risk.
Choose the right tools.
“Are we paying for the right AI tools?”
A comparison tailored to your needs, budget and data requirements.
Test before you scale.
“Will this actually work with our processes?”
A focused pilot, clear success criteria and a recommendation: proceed, adjust or stop.
Build a practical roadmap.
“What should we do next?”
An action plan with priorities, owners, resources and measures of success.
Your team spends hours preparing weekly reports.
We assess the workflow, identify what AI can handle, test it on a sample and compare time saved, accuracy and cost before recommending a rollout.
A smaller first step
Team training on hold?
Send your team to our AI masterclass.
Waiting for leadership approval or working with a limited budget? Start with one or a few employees in a public Cavern AI masterclass, without committing to a full-team program.
- In person in NYC
- Live online
- We provide an invoice. Employees can submit it for reimbursement, subject to their company’s approval and expense policy.
