100% Online · Executive-ready · Strategy + Governance + 90‑day plan
What does an executive team need to turn AI into real decisions (not scattered experiments)?
Your leadership team does not need “more AI news”. It needs alignment, a decision framework, governance guardrails, and an execution plan that people can actually run. Bastelia delivers AI training for executive teams fully online, designed to produce a clear portfolio of initiatives and a practical 90‑day roadmap.
Because we work 100% online and use AI throughout our internal production workflow (with expert review), we keep delivery fast and pricing competitive without sacrificing depth or quality.
Board-ready clarity
A shared strategy narrative, priorities, owners, KPIs.
Governance included
AI Act / GDPR / IP / security controls translated into operations.
90‑day execution plan
Concrete steps, milestones, and measurement cadence.
What is “AI training for executive teams” (and what is it not)?
It is a leadership-level program that converts AI into decisions: what to prioritise, what to avoid, how to govern AI safely, and how to execute in 90 days with measurable KPIs. It is designed for the C‑suite and senior leadership, not for engineers.
It is not a generic “AI trends” talk, and it is not a tool demo marathon. Tooling matters, but executives usually get stuck because of misalignment, unclear ownership, uncontrolled usage, and weak measurement. This program fixes those problems first.
What problems does it solve?
Pilot chaos, shadow AI usage, inconsistent quality, unclear compliance posture, vendor noise, and lack of ROI discipline. Your leadership team leaves with one story, one framework, and one plan.
Who is it designed for?
Executive committees (6–20 participants): CEO, COO, CFO, CIO/CTO, CDO, CMO, CHRO, Legal/Compliance, business unit heads, and transformation leaders. No technical background required.
Online-first advantage: shorter sessions, easier scheduling, faster iteration, and lower cost. The work stays practical because decisions are captured live and converted into deliverables your teams can reuse.
What will your leadership team have after the training?
Executive teams get value from AI when they can answer four questions clearly: Where is value? What is safe? Who owns what? How do we measure progress? This program is structured to produce tangible outputs.
- A shared executive AI narrative (one-page strategy + board-ready summary).
- A prioritised portfolio of use cases (value × feasibility × risk), by function.
- A governance baseline (roles, approval gates, documentation, human oversight requirements).
- An AI usage policy employees can actually follow (data/IP rules, allowed tools, escalation paths).
- A 90‑day execution plan with owners, milestones, KPIs, and risk mitigations.
- A delivery approach (build vs buy, vendor evaluation criteria, integration reality).
- An adoption plan (communication, training cascade, measurement cadence).
What changes after alignment?
AI stops being a collection of disconnected experiments and becomes a managed portfolio. Shadow AI decreases because teams have rules. ROI improves because prioritisation is consistent, and scaling decisions are made with measurable evidence—not enthusiasm.
If your organisation already has pilots, we focus on governance + operating model + scale criteria. If you are starting, we focus on safe quick wins + policy + capability building.
Which online format fits an executive schedule (without losing depth)?
Online delivery works when sessions are engineered for decisions: short blocks, high interaction, and deliverables produced in real time. Choose the format that matches your urgency and maturity.
Option A — Executive Briefing (2–3 hours)
You need a high-signal briefing that cuts through hype and frames decisions: value areas, risks, governance essentials, and a path to first pilots. Best when you need alignment fast.
Option B — Executive Workshop (6–8 hours)
A deeper format split into 2–4 online sessions. You leave with a prioritised first portfolio, initial governance guardrails, and clear owners. Best when you want decisions, not theory.
Option C — Executive Bootcamp (16–24 hours)
You want functional depth: Finance, Ops, HR, Marketing/Sales, Support, IT. Includes hands-on exercises (safe data) and a 90‑day plan draft. Best when you want a plan that is ready to execute.
Option D — 3–6 Week Online Program (recommended)
Weekly leadership sessions + guided work in between. Best for real alignment and fast execution because it creates space for review, iteration, and ownership. Ideal when you want speed with control.
How to pick quickly: If your team can decide in one meeting, use Option B. If you need cross-functional alignment and a reliable 90‑day plan, use Option D. If you want a board briefing first, start with Option A and then decide.
What do executives learn in this AI training (in business language, not technical jargon)?
The curriculum is modular. We keep what creates decisions, and we remove what does not. The goal is to make AI understandable and governable at leadership level—without diluting the complexity that actually matters.
How do we separate AI reality from vendor hype?
We cover what generative AI is strong at (drafting, summarising, extracting, classifying, assisting) and where it breaks (facts, compliance-sensitive claims, unsafe data handling). You learn the failure modes that create reputational and legal risk—and how to design around them.
How do we select use cases that will actually scale?
You get a prioritisation method executives can reuse. We score initiatives by value, feasibility, and risk. You learn what “good ROI” looks like in AI: cycle time reduction, error reduction, cost-to-serve, quality improvement, and adoption—not vanity metrics.
How do we govern AI without slowing down the business?
We translate AI Act / GDPR / IP and security principles into an operating model: roles, approval gates, documentation, monitoring, and human oversight. The outcome is a pragmatic baseline, not legal theatre.
How do we move from pilots to outcomes in 90 days?
We build a short execution plan with owners, milestones, KPIs, and risk mitigations. You leave with a realistic path that accounts for data access, integration constraints, change management, and vendor/tool decisions.
Where does AI create value for each executive function?
Below is a practical view of AI value by leadership area. The point is not to chase “AI everywhere”, but to pick workflows where AI reliably improves speed, quality, or cost—and where risks can be governed. Use these as starting points for your own portfolio.
Question: How can the CEO or GM use AI without creating operational risk?
Answer: Use AI to improve decision support and communication speed, while keeping sources controlled and ensuring human review for external outputs. Typical high-value use cases:
- Executive brief synthesis: convert internal updates into a consistent weekly narrative (with traceable sources).
- Strategy option framing: compare scenarios and decision trade-offs using a structured template.
- Portfolio dashboards: one view of initiatives, owners, KPIs, governance status, and risks.
- Change communication: consistent messaging for managers and teams during rollout.
Question: What AI use cases are most realistic for CFO and Finance?
Answer: Finance often benefits from AI in narrative generation, variance analysis support, reconciliation assistance, and document-heavy workflows—provided that controls exist for accuracy and data handling.
- Close support: draft variance explanations, consolidate commentary, reduce manual reporting effort.
- FP&A assistance: scenario narratives, driver analysis drafts, budget review summaries.
- Policy and controls support: generate checklists and documentation (with approval gates).
- Exception triage: summarise anomalies and route to owners with evidence attached.
Question: Where does AI help operations without creating quality issues?
Answer: Operations value comes from standardisation and speed: SOP creation, incident summaries, knowledge access, and decision support—always paired with validation where errors are costly.
- SOP drafting and updates: consistent formats, faster revisions, versioned outputs.
- Incident and quality summaries: faster post‑mortems, clearer root-cause narratives.
- Planning support: structured analysis for demand/supply discussions (human validated).
- Frontline enablement: governed internal assistants for procedures and troubleshooting.
Question: How can HR use AI responsibly?
Answer: HR wins come from knowledge access and consistency (policies, onboarding, training), not from replacing judgement in sensitive decisions. Responsible HR adoption includes clear rules for privacy and fairness.
- Onboarding assistants: policy Q&A using controlled internal documents.
- Manager enablement: consistent guidance for procedures and people processes.
- Skills mapping: training pathways for AI adoption by role (not generic).
- Internal comms drafting: faster updates, consistent tone and structure.
Question: What AI initiatives usually work best for marketing and sales leadership?
Answer: The strongest use cases improve speed and consistency in content-heavy workflows while protecting brand and compliance through review gates.
- Proposal copilots: structured drafts aligned with brand voice and legal constraints.
- Account research briefs: meeting preparation from approved sources.
- Sales enablement content: faster creation of battlecards and FAQs (reviewed).
- Customer insight synthesis: summarise feedback into themes and actions.
Question: What do CIO/CTO and Security leaders need to decide early?
Answer: Tool access, identity/permissions, data boundaries, logging, and vendor controls decide whether AI becomes safe and scalable—or chaotic and risky. Governance must be operational from day one.
- Tool stack decisions: what is allowed, where, and under what conditions.
- Access controls: identity, permissions, data classification, retention rules.
- Evaluation & monitoring: quality checks, audit trail, incident response.
- Internal assistants: safe “search + summarise” patterns with controlled sources.
Practical note: if a use case touches external claims, regulated decisions, or sensitive personal data, your governance tier must be stricter: documented sources, human oversight, and clear accountability.
How do you govern AI in an executive-friendly way (AI Act / GDPR / IP / security)?
Governance only works when it is translated into daily operational rules. Executive teams need a baseline that enables speed while reducing risk: not a document that nobody uses.
What governance elements matter most?
Role ownership, tool approvals, data boundaries, documentation, human oversight, and an audit-friendly evidence trail. We structure this into a light operating model: what is allowed, what is forbidden, and what requires approval.
How do we keep governance practical?
We define risk tiers and attach specific controls to each tier. Low-risk use cases move fast; high-risk use cases require stricter validation and documentation. This avoids blocking innovation while protecting the organisation.
- AI usage policy: data/IP rules, approved tools, and escalation paths.
- Approval gates: when a use case needs review (legal, security, compliance, business owner).
- Human oversight: where humans must verify outputs before internal/external use.
- Vendor/tool due diligence: security, privacy, retention, logging, auditability questions.
- Documentation: inventory of tools/use cases, risk register, decision log, evidence capture.
What tangible deliverables does Bastelia provide (so the work continues after the sessions)?
Executive training becomes valuable when it leaves behind assets that your teams can reuse. We focus on templates that reduce friction: they standardise decisions, clarify ownership, and accelerate adoption.
Executive AI Playbook
Principles, roles, governance gates, oversight rules, and decision framework in executive language.
Use‑case inventory + scoring
A structured portfolio view: value, feasibility, risk, owners, and next actions.
90‑day execution plan
Milestones, owners, KPIs, risks, mitigations, and governance gates to scale safely.
AI usage policy
Employee-ready rules for data, IP, confidentiality, and tool usage.
KPI + ROI templates
Baseline, targets, measurement cadence, and proof requirements to avoid “pilot theatre”.
Vendor evaluation checklist
Questions that protect you: retention, training on your data, access control, audit logs, and security posture.
Why this matters: deliverables reduce dependency on external consultants because your team has a reusable system for decisions, governance and rollout.
Do you want a quick executive-level AI prioritisation and a 90‑day starter plan (right now)?
Use the tools below to structure your internal conversation. They are intentionally simple: the goal is to produce a clear direction that you can refine with real data. No forms, no tracking—just practical outputs you can copy into an email.
Tool 1 — Use‑case prioritiser (value × feasibility × risk)
Pick quick ratings. You’ll get a tier recommendation and a copy-ready summary.
Result
Select ratings above to get a tier recommendation.
Tip: value and feasibility push toward action; risk pushes toward stronger governance and slower scaling.
Tool 2 — 90‑day executive AI plan builder
Choose an objective and your current maturity. You’ll get a practical 90‑day outline you can forward to your team.
90‑day outline
Select options above to generate a 90‑day starter plan.
Note: this is a structured starting point. We refine it with your constraints, data boundaries, and governance requirements.
What are the most common questions executive teams ask before booking?
The answers below are written for C‑level decision-making: scope, outcomes, governance, and what “success” looks like after the sessions.
Do we need technical knowledge to benefit from this executive AI training?
No. The program is designed for executives. We focus on decisions: strategy, prioritisation, governance, operating model, and KPIs. Technical concepts are explained only to the extent that they affect risk, cost, feasibility, or time-to-value.
Is the training really 100% online, and does that reduce effectiveness?
Yes, it is 100% online. Effectiveness depends on design, not location. We run short high-focus sessions, capture decisions live in templates, and iterate between sessions so you end with concrete deliverables. Online delivery also reduces friction, scheduling delays, and cost.
What is the difference between an executive briefing and a full program?
A briefing creates shared understanding and a decision direction. A full program produces deliverables: prioritised portfolio, governance baseline, usage policy, and a 90‑day plan with owners and KPIs. If you want execution, not only clarity, choose the workshop/bootcamp/program.
Will you recommend specific AI tools (Copilots, LLMs, platforms)?
We are tool-agnostic. We help you define requirements and evaluation criteria (security, privacy, retention, logging, auditability, cost). If you already use a platform, we adapt the governance and rollout plan to your environment.
How do you handle AI risks like hallucinations, data leakage, and IP issues?
We treat them as operating model problems. Outputs that can create legal, financial or reputational harm require stronger controls: governed tools, restricted data access, documented sources, human review gates, and evidence capture. We build this into your governance baseline.
Does the program cover EU AI Act and GDPR in a practical way?
Yes. We translate compliance expectations into operational controls: documentation, oversight, tool inventory, risk tiers, approval gates, and accountability. The goal is to reduce surprises during audits and reduce risk while keeping innovation moving.
What should we prepare before the training to maximise outcomes?
Prepare a short list of priority workflows (3–5 per function), your current tool constraints, and any non-negotiables (data rules, regulated contexts). We can work with anonymised or non-sensitive examples and still produce a realistic 90‑day plan.
How do we measure success after the executive training?
Success is visible in three layers: (1) decisions made (portfolio, owners, governance), (2) pilot execution (milestones met, adoption), and (3) outcomes (cycle time, error rate, cost-to-serve, quality, customer metrics). We build KPI baselines and a review cadence.
What is the next step if we want a proposal?
Email info@bastelia.com with: industry, participant roles, team size, current tools (if any), top 3 priorities, and your preferred time window. We’ll propose the best online format and the deliverables you will receive.
What is the fastest next step to get started?
Email info@bastelia.com and include five lines: your industry, who will attend (roles + number), current tools (if any), top 3 priorities, and when you want to start. We’ll answer with a format recommendation and a proposal scope.
Reminder: we deliver 100% online, which keeps logistics simple and cost low—without losing depth. The goal is a leadership-grade outcome: decisions, governance, and a 90‑day plan that can be executed.