after training
Understanding the technology
Distinguish models, assistants and agents. Understand why context, tools and checks matter.
AI decisions for leadership teams
Two days of training on AI in a leader’s work, competition, key processes and the costs and benefits of implementation. Explore what the technology makes possible and which decisions the executive team needs to make. An additional one-day strategy session is available separately.
We tailor the examples and preparation to your industry, team and decision-making context.
From €8,000 · Optional one-day strategy session: +€4,000 · excl. VAT and applicable taxes
↓ Oper8 · learn by doing
Apply AI to management decisions and business processes.
Work with AI, examine business cases and make decisions in management simulations. Learn to assess the technology, check conclusions and design work for people and agents. Discuss how process changes affect profit, speed and the customer experience.
Two training days · Six practical blocks
The programme, day by day.
Day one explores the technology and applies AI to leadership work. Day two covers key business processes, economics and the organisation of implementation.
AI capabilities, decisions and competition
How modern AI works
How modern AI works
Models, assistants and agents: context, company knowledge, skills and tools. Explore capabilities, limitations, causes of errors and the conditions for reliable use in a company.
PracticeComplete the same task in a chat, with an agent and within a prepared process. Compare the result and the oversight each approach needs.
AI in management decisions
AI in management decisions
Market research, document and data analysis, hypothesis testing, scenarios and negotiation preparation. Check sources and calculations, find weak assumptions and consider alternatives.
PracticeUse conflicting materials to prepare a decision with AI, then check the evidence and assumptions behind it. See how AI can convincingly support an incorrect position.
How AI changes business and competition
How AI changes business and competition
Changes in cost, speed, customer experience and business models. Explore new products and revenue sources, and assess which competitive advantages remain strong or become vulnerable.
PracticeUse an industry case to design the moves of a competitor working with AI, then discuss how your company could respond.
Business processes, economics and organisation
Redesign key business processes
Redesign key business processes
Follow a process from a customer request to the business outcome. Find constraints, connect decisions across functions and divide work among people, agents and conventional software. Identify changes needed in data, authority and rules.
PracticeAllocate limited capital across deals with different margins, timing and risks. As conditions change, revisit sales, finance and treasury decisions. Examine the impact on profit, turnover and payment reliability.
Economics and selection of AI initiatives
Economics and selection of AI initiatives
Sources of business impact, ROI and total cost of ownership: integrations, data, evaluation, support and actual usage. Compare buying a product with building one, and define quality criteria and conditions for continuing.
PracticeAct as an investment committee: compare proposals, request missing evidence and decide what to launch, revise or reject.
Organise company-wide work with AI
Organise company-wide work with AI
Roles of process owners, business sponsors, IT, the AI team and champions. Agent permissions, human oversight and data access. Build capabilities, consider incentives and address employee concerns.
PracticeReview an implementation that stopped after a successful pilot. Identify what needs to change in ownership, workflow and user support.
Programme outcomes
What the executive team will learn.
After two training days, the team can discuss AI in concrete terms, from its own work to process changes and investment decisions.
after training
Hands-on AI practice
Investigate a question, compare scenarios and check the evidence and assumptions behind a management decision.
after training
A way to redesign processes
Connect the work of functions, people and agents to a shared business outcome.
after training
Criteria for selecting initiatives
Assess expected value and total cost, and define how to measure results.
after training
How to organise implementation
Understand the roles of process owners, AI teams and champions, including authority and support.
after training
Options for business development
Discuss the effect of AI on customer experience, competition and the company’s business model.
Also included: the recording, materials and recommendations for using AI in the context of your company’s work.
Optional · One-day strategy session
Design changes for your company
After training, apply the approaches to your own business priorities in a separate executive session. We conduct interviews and gather information about processes and current AI initiatives beforehand.
Review one process in detail during the day, or two if sufficient information is prepared in advance. Leave with an outline of the target process, an impact hypothesis, an owner and conditions for the next step. Estimates without enough evidence remain hypotheses.
1. Business priorities
Identify where AI could affect growth, margins, working capital, quality or speed. Choose a process for a detailed review.
2. The current process
Follow the path from customer need to outcome. Find delays, repeated work, lost information and conflicting departmental goals.
3. Designing the changes
Decide which actions and decisions change and where people, agents and calculation models are needed. Record roles and data requirements.
4. Testing the business impact
Estimate the potential impact, discuss costs and unknowns, and define a manageable pilot scope and success criteria.
5. Executive decisions
Assign an owner, participants and resources. Agree the next step and the questions that need further investigation.
How the programme works.
Your team
8–15people from the leadership team
CEO, CDO, C-suite leaders and other decision-makers.
Agree the sponsor’s involvement before the programme.
Their participation helps settle priorities and ownership while the team is together, especially during the optional strategy session.
Kiberry team
Kiberry programme lead
Oper8 method and live AI lab
Explains the method, works through examples and guides the team’s practical work.
Kiberry strategy lead
Executive alignment and operating-model change
Facilitates the strategy session and translates Oper8 into your context.
Industry specialist
Selected for your context when needed
Adds the regulatory and domain perspective your team needs.
Before the programme
Two or three interviews with key participants two weeks before the programme. We select industry examples and practical tasks; preparation is included.
After the programme
Two online reviews on days 30 and 60 to discuss experience using AI and participants’ questions. Both are included in the training.
Setting
Your office, an off-site setting or a suitable Kiberry venue. Where required, we can agree confidentiality arrangements and an isolated training environment.
Scope and pricing
Prices are starting points, excl. VAT and applicable taxes. The final scope depends on preparation, participants and the depth of industry cases. The strategy session is added to the two training days.
up to 15 participants · six practical blocks
Training — two days
From €8,000
AI practice, business cases and management simulations. Includes preparation interviews, materials and two online reviews after the programme.
an addition to the two training days
Optional strategy session — one day
+€4,000
Choose a priority process, design the changes and agree the next step. Preparation depends on the data available.
financial services / life sciences / public sector
In-depth industry customisation
Optional add-on
Standard preparation includes examples tailored to your industry. For more detailed customisation, we can involve a domain expert and develop additional cases. We agree this scope and its price separately.
Executive team programme
Discuss executive training for your team.
Tell us about your executive team. We can arrange a call with one of our leads to understand the context, check the fit, and agree on dates and next steps.
Related reading
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