Teams build, test, and deploy AI in their own business and show what it returns. Participants carry a real project from idea to measurable results, with Autoris facilitators and AI practitioners at their side.
Projects come from areas such as Talent Development, Process Optimization, Marketing and Sales, and Product Development.
Book a callOnline, hybrid, or in person
English and German, other languages on request
Typically five sessions, spaced so teams can work between them
Participants work with AI directly. They see how it behaves, test it on their own cases, and carry what works into daily operations.
Teams try tools and approaches in a protected environment with their own material, so they learn what works before anything touches live systems.
Where the team wants it, participants develop their own assistants and workflows, guided by practitioners who build with AI every day.
We open up the machinery: how models respond, where they excel, where they need a check. The team builds the judgment to work with AI with confidence.
Each project moves from prototype to a running solution in the team's own processes, with owners, access, and governance settled along the way.
Every project starts with a clear picture of what it should return and ends with the evidence. Teams know what comes out, and so do the people who fund the next step.
Teams record what the task costs today, in time, money, or quality, before anything changes.
Each solution carries its own measurement, so the effect shows up in numbers your leadership recognizes.
Seeing a solution run on your own data, with its checks and its results, builds the confidence to use it.
Each team closes with a one-page result and a decision on the next step, so insights stay in the organization and keep working.
Teams bring a challenge from their own business and develop it session by session, presenting progress along the way.
AI succeeds when people come along. Participants learn how to bring colleagues on board, including those with doubts, and how to build skills and habits in their teams.
Mentors with hands-on AI experience guide the project groups and share what has worked in their own work.
Legal and regulatory topics, including the EU AI Act, are part of the teaching, so projects move forward on solid ground.
Challenges like these come into our programs and our mentors' practice every week. Your own challenge belongs on the list.
Build a target list that mirrors your best customers. Prepare every account before the call. Score inbound leads against your own closed-won history. Generate quotes from your product and pricing data. Answer RFPs from your past responses.
Produce campaign variants, run them against each other, and measure which one performed. Turn one webinar or talk into the twenty pieces that come off it. Localize campaigns without a second agency.
Match incoming invoices to orders and flag only the exceptions. Rebuild an approval or handover chain so fewer steps need a person. Search contracts and specifications and get the passage that answers the question.
Give every manager a coach available outside office hours, in their own language. Build learning paths from each person's strengths. Shorten onboarding by putting process knowledge where a new hire can ask for it.
The team rewrote the range descriptions, case studies, and brochure copy with AI, in the company's own words, with the technical detail checked by the people who build the machines.
A single trade-fair talk now becomes the newsletter, the posts, the customer mailing, and the sales one-pager, edited by one person and checked before publication.
AI was in use in three departments and nobody could say what it returned. The program produced the measurement basis and a clear ground for deciding where the next money goes.
Every program is built around your business goals and carried by facilitators who stay close to your projects.
We start with your business goals, choose the focus areas and projects with you, and agree what each project should return.
We bring in facilitators and practitioners whose experience fits your projects and your industry.
Project groups meet in the sessions, work in the sandbox between them, and present results along the way.
We close with measured results and a plan for the next projects, so your organization keeps building its own AI capability.
Leadership teams, functional leaders, and cross-functional project groups who are ready to put AI to work in their own business.
If this is your focus, we recommend one of these two programs. Both treat these questions in depth.
Managers learn to develop their people as a craft, with Ati as their learning partner and practice with their own teams from week one.
Explore the Master Program →Leaders practice coaching their teams through the work, including conversations with people who feel unsure about AI.
Explore Coaching Skills →Tell us where AI can make the biggest difference in your business and we'll come back with a shape, a format, and a team.