AI Training for Executives & Leaders
Your board is asking for an AI strategy, and pilots are multiplying without a plan. This executive briefing answers at the altitude you decide from: the state of AI without the hype, a use-case portfolio for your P&L, the build-vs-buy call, regulatory awareness, and a 90-day roadmap each leader leaves with.
- modules
- 6
- hours
- 10


Why this training
Why executive AI training?
Your board pack already has a slide asking what the AI strategy is, and stalling for another quarter won't satisfy anyone this time. Three pilots are running with no shared logic for funding the next one. Vendor pitches arrive faster than anyone can compare them, and tools touching personal data carry KVKK exposure. Selling into the EU adds AI Act concerns. This is where a broader "AI for business" mandate has to become a portfolio with named owners. Without that, proofs of concept stall while senior leaders catch up to how their teams already use these tools.
The format can be a half-day briefing, two-day workshop, or focused board session. Leaders get a use-case portfolio scored against the P&L, the build-versus-buy call, KVKK and EU AI Act awareness, and a 90-day roadmap with named owners.
It stops at leadership altitude: no coding, prompt-writing drills, or legal opinion standing in for your own counsel. Each leader leaves with a defensible position and a plan for next quarter. The briefing doesn't certify anyone to build AI systems. Hands-on prompt work sits in our AI literacy and prompt engineering training, among the role-specific options in the AI training catalog.
The board already wants a straight answer
Every board now wants an answer to what the AI strategy is, and "we're looking into it" is wearing thin. Leadership needs a position it can defend, and the tone the rest of the organization takes gets set from the top.
Pilots without a portfolio
Teams spin up AI experiments with no prioritization logic and no way to compare them. Leaders need a value map that scores each initiative against the P&L, so disconnected proofs of concept stop piling up without ever scaling.
Build-vs-buy paralysis
Vendor noise is loud, and nobody has time to compare it properly. Without a framework for what to build, what to buy, and what to hand to a partner, decisions stall, or get made on the strength of whoever pitched loudest.
Regulation you can't ignore
Any AI touching personal data falls under KVKK, while selling into the EU brings AI Act exposure that leaders need to understand at an awareness level.
The AI-literacy gap runs top-down
In most organizations, the leadership team is visibly behind its own junior staff on these tools. Adoption takes its tone from the top. That's why this work starts with the people who set direction.
Syllabus
Training syllabus
State of AI, minus the hype
90 minBeginner
What large language models and agents can and cannot do in 2026, shown live on your own market and website. This session gives the leadership team a realistic read on where things stand before any strategy gets set.
- What large language models and agents actually do in 2026, and where they fail
- Live demos on your own market and website
- The capability curve leaders have to plan against
- Reading AI vendor claims without the marketing gloss
- Telling durable shifts apart from passing hype
The AI value map
120 minIntermediate
A use-case portfolio built for your P&L. Each initiative gets scored on impact, feasibility, and data readiness, with the strongest proof coming from marketing and growth, where these tools already pay for themselves.
- Building a P&L-scored use-case portfolio
- Scoring initiatives for impact and feasibility, with data readiness checked separately
- Where AI already pays: marketing and growth, from real deployments
- Sequencing quick wins against longer bets
- Setting a realistic budget
- Avoiding the pilot-that-never-scales trap
Build versus buy, with a partner option
90 minIntermediate
Leaders compare the vendor field with the cost economics. Data readiness often decides the call. A reusable framework separates what to build in house from what to buy off the shelf, then shows where a partner fits.
- The vendor landscape, from foundation models to point tools
- Cost economics: API usage vs. per-seat licenses vs. custom builds
- Data readiness as the binding constraint
- Why most pilots die, and what makes one actually scale
- A reusable build-buy-partner decision framework
Risk and regulatory governance
90 minIntermediate
Hallucination and IP risk become working guardrails, including the brand-safety implications. Your KVKK obligations and EU AI Act exposure at an awareness level. This module gives leaders a plain-language risk briefing. Your own counsel still delivers the legal opinion when one is needed.
- Hallucination and IP risk in practice, including brand safety
- Your KVKK obligations when AI touches personal data
- EU AI Act exposure for EU-facing business, at an awareness level
- A practical guardrail checklist for sanctioned AI use
- What to escalate to legal counsel, and when
Org design and talent
90 minBeginner
How to move from trained individuals to an organization that uses AI well: the operating model, a champions program, and an upskilling cadence for the teams below you, handled with honest change management.
- Center of excellence vs. a federated operating model
- A champions program that spreads good practice
- An upskilling cadence for the teams below you
- Change management and honest handling of job-loss fears
- Who is accountable for AI outcomes, and how ownership gets assigned
Your 90-day roadmap
120 minIntermediate
Everyone in the room works the plan. Nobody just watches slides. Each leader leaves with a prioritized list of initiatives, named owners, and a measurement plan for the next quarter, the deliverable the whole briefing builds toward.
- Leaders build the plan themselves
- A prioritized initiative list each leader leaves with
- Named owners and a measurement plan for each initiative
- Quick wins to show progress in the first quarter
- Governance checkpoints, review cadence
- How to communicate the plan to the wider organization
Outcomes
Outcomes & audience
What you will learn
- State a clear board position
- Build a use-case portfolio scored for impact and feasibility, then check data readiness
- Apply the build-buy-partner framework to current vendor decisions
- When AI touches personal data, you know your KVKK and EU AI Act exposure at an awareness level
- Choose an operating model for AI in your organization: center of excellence or federated
- Set a cadence for upskilling
- Leave with a 90-day AI roadmap: prioritized initiatives with named owners and measures
- See where AI pays first, in marketing and growth, from documented deployments
Who should attend
- CEOs and general managers, including managing directors
- C-suite leaders setting functional AI direction (CMO, COO, CFO, CIO/CTO)
- Board members and non-executive directors
- Senior managers and department heads who own a P&L or growth target
- Strategy and chief-of-staff offices leading transformation
- HR and L&D leaders designing leadership development programs
Format
Training format
The core format is a half-day executive briefing that expands into a two-day leadership workshop or compresses into a 60 to 90 minute board session. Both onsite and live-online sessions run the same material.
- Format
- Onsite or live online
- Duration
- Half-day briefing, expandable to a 2-day workshop (60–90 min board-session option)
- Group size
- 5–20 leaders per session
- Language
- English or Turkish
- Materials
- Use-case scoring template, build-vs-buy checklist, and a 90-day roadmap worksheet
- Certificate
- Certificate of completion
About Zeo
Why Zeo
Zeo started in 2011 and now works out of San Francisco, Istanbul, Ankara, and Lisbon. We run Copilot Academy and organize Digitalzone, an international digital marketing conference. This program draws on the 10+ years of consulting and training work behind that, applied to corporate AI adoption.
- 2011founded in Istanbul
- 10+years of consulting and training experience
- 3offices: San Francisco, Istanbul, Ankara, Lisbon
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