Delivered programme · 2026

AI MindshiftAI Business TransformationLead adoption with clarity.

For leaders who want to implement AI with clarity and control. AI is not a tool. It is a paradigm shift. Built interdisciplinarily: business, technology and the human factor.

May – June 2026Oradea · Cluj-Napoca · București · Iași · TimișoaraSecurity First

Led by

Bogdan HrubanLigia Cremene

Bogdan Hruban & Ligia Cremene, psychologist

Why it's urgent

Every month of delay costs more than you think.

It's not a technology problem. It's a decision problem. And you're the one who has to make it.

2–4 hours

lost by one employee daily

on repetitive tasks AI can reduce to minutes. Multiply by your team, multiply by 250 working days.

2 hrs × 50 employees × 250 days = 25,000 hrs/yr

20–40%

reduction in operating costs

reported by companies that have implemented AI. Not large companies with huge budgets — SMEs with 10–50 employees too.

12–18 months

unrecoverable lead

that is how much your competitors who have already started are accumulating. Wait 6 more months and catching up is hard. Wait 18 and you will not.

AI is not risky. Not implementing AI in your company is risky. Every day of inaction is a missed opportunity for clarity, decision and competitive advantage.

The cost of waiting

Every week of waiting is a lead given to others.

Companies implementing now

Run faster processes at lower cost. Deliver more with the same team. Quote more competitively.

Companies that have a plan

Know what they will do, have chosen a pilot, have communicated internally. They are moving — they will see ROI in 60–90 days.

Companies still delaying

Lose good employees who want to work with modern tools. Lose tenders to more efficient competitors. Lose margin.

The workshop doesn't change the AI reality. It changes your company's position relative to it.

What stops leaders

The 4 fears that block AI adoption

We've heard them in every room. They're legitimate — and each of them has a concrete answer.

"AI will replace my team"

AI doesn't replace good people — it lifts them out of repetitive work. We show you how to redesign roles so your team ends up doing higher-value work, not unemployment.

"It's too expensive and the ROI is unclear"

Starting small — a pilot with low risk and visible impact — often pays for itself in 60–90 days. We give you the method to choose the right first use case.

"My data will be exposed"

This is exactly why we start from security first — covering how to keep models from training on your data, zero-retention setups, on-premise vs. EU cloud, what data protection requires in practice, and auditability.

"I don't know where to start"

That was the whole point of the workshop. Participants left with a personal digital-maturity report, a chosen pilot project and a 90-day action plan.

The real risk isn't adopting AI — it's adopting it badly, or waiting so long your competitors get a 12-month head start.

What's different

Not a course. A working day.

Most AI workshops inform. This one made participants build. Each module produced a concrete document. By the end they had an actionable plan, not notes.

Implementation, not theory

Each module produced a document. Participants left with deliverables, not concepts.

Security from the start

Every decision was made under the security-first premise — nobody exposed themselves or their clients.

Decision, not experiment

Participants left with a chosen, approved and planned pilot — not with "ideas to explore".

ROI calculated on the spot

Participants picked the pilot by impact, feasibility and payback period — knowing what was worth it before spending a euro.

Technical premise

Security First — the AI adoption framework

Everything we teach rests on one premise: AI can be used safely in a business environment. Not as an add-on or a checklist — but as the foundation of every decision.

Where your data goes

Where a model runs and what it keeps — on-premise vs. EU cloud, retention windows, training-on-your-data terms. The programme walks through how to read a vendor's answer on each, so your trade secrets stay trade secrets.

Data protection

DPAs, data-processing records, subprocessor lists, data-subject rights — the questions the workshop walks through for handling personal data when AI is involved.

Auditability & control

Every decision, every prompt, every output — logged and inspectable. You keep the governance layer that traditional software demanded.

Human-in-the-loop

For every critical process, a human signs off. AI accelerates; people decide. No automation of irreversible actions without explicit approval.

Workshop agenda

What you'll take home

6–7 hours of structured work, in groups of max 20 people, so nobody stays on the sidelines.

  1. 1

    Mindshift — from fear to clarity

    We work on the limiting beliefs that block you and your team. Named, dismantled, replaced with a mindset of controlled experimentation.

  2. 2

    Security First — the technical framework

    On-premise vs. cloud, sensitive data, auditability, zero retention, what data protection requires. Participants left with a printable playbook to share with their team.

  3. 3

    Your digital maturity

    A questionnaire applied live that maps where you are today — what's ready to automate, what needs preparation and what should wait.

  4. 4

    Choosing your pilot project

    The method to pick your first use case — low risk, visible impact, clear ROI. Participants left with a chosen pilot, not a vague idea.

  5. 5

    Communicating the change

    How to talk about AI inside the company without generating panic. Practical change-management tools grounded in organisational psychology.

  6. 6

    Public commitment & follow-up

    Participants left with commitments they had written and signed, plus a plan for monthly check-ins to keep momentum going.

What participants built that day

8 concrete deliverables. Zero useless slides.

These aren't course materials. They're working documents applied directly to the business.

Completed digital maturity report

Score across 6 areas of your business (operations, HR, finance, marketing, IT, sales). A real document, ready to present to the board.

A chosen and documented pilot project

The goal, estimated budget in euros, timeline in weeks and 3 success metrics. Not a vague idea — a complete brief.

90-day action plan

Weekly milestones, owners for each step, checkpoints. Applied from the following Monday.

Printable protocol: data management, what data protection requires, zero retention, approved tools list. Shared with the team the same day.

Internal communication script

Message ready to send to your team. Explains AI adoption, addresses common objections, assigns roles. No panic.

Map of blocks and limiting beliefs

Participants identified and documented the real resistances to change in their organisation, and knew exactly where to intervene for real adoption.

Systemic mapping of key stakeholders

Participants thought systemically, identifying the strategic interdependencies in their business ecosystem — avoiding today's solutions becoming tomorrow's problems.

Articulated vision

Participants allowed themselves to discover what was possible for their business, beyond urgent needs — a safe space to experiment with the new world they were entering either way.

The method

The MAP.PICK.BUILD. method.

3 steps. 3 deliverables. An actionable plan by the end of the day.

STEP 1

Participants audited the business

Participants scanned 6 AI opportunity areas. Identified what is automatable today, what represents risk and what had to be postponed. Output: scored digital maturity report.

Output: Digital maturity report

STEP 2

Participants picked a single pilot

Participants applied a 4-criteria filter: impact, feasibility, data risk, return on investment, then picked one case — low risk, visible impact, ROI in 60–90 days. Output: documented pilot brief.

Output: Pilot brief with budget and timeline

STEP 3

Participants built the plan

Participants designed the implementation: owners, milestones, budget, team communication strategy, and left with an executable document. Output: 90-day action plan.

Output: 90-day action plan

Who it's for

This workshop was built for serious decision-makers.

  • CEO or founder with a team of at least 5 people
  • Director of operations, HR, finance or marketing with efficiency responsibility
  • Entrepreneur with clear repetitive processes and a desire to automate
  • Leader who wants to drive change — not endure it
  • Manager who needs to deliver an AI adoption decision to the board or investors

Who it's not for

It might not be for you if...

  • You are an individual freelancer with no team to lead
  • You want to "explore what AI can do" without a concrete business context
  • Your company does not have at least 2 identified repetitive processes and a minimum of structured data
  • You do not hold decision authority in the organisation
  • You are looking for "training" or "certification" — not concrete deliverables and real implementation

Your consultants — experts in

Technology + People. Both forces of adoption.

Most AI workshops teach you the tools. Most change workshops ignore the technology. We address both — in the same workshop.

Bogdan Hruban

Bogdan Hruban

Founder & Lead Architect, Wizeri

Creative spirit with 20+ years in digital transformation, delivering automation and AI implementation projects in Romania and internationally. He builds the technical and cybersecurity layer of every session — from data architecture and scalability to data protection and auditability.

Technology · innovation · cybersecurity · automation/AI · data protection · responsible AI

Ligia Cremene

Ligia Cremene

Organisational psychologist, systemic business consultant, executive coach

With a PhD in AI + telecommunications, expert in systemic dynamics and organisational change. She guides the mindset and vision work, identifying limiting or empowering beliefs and blocks. She brings the cultural lens that turns a technical workshop into real transformation.

Mindshift · complexity/systemic approach · change management · culture · interdisciplinarity

Technology is only a part of the AI story. The other part is people — and that's where most projects fail. We built this programme precisely to close that gap.

Technology is not the final frontier. Human systems are.
Peter Senge

Real implementations · Documented results

Results we've delivered for our clients

Three companies. Three different starting points. From platform integration to AI-powered support and a brand-new AI product line — implemented, tested, and live.

E-commerce & Integration

Webshop operator · Netherlands

The challenge

Three disconnected platforms — webshop, accounting, and a custom survey app — required manual data transfer between them. No AI was needed; the client came with a clear need and we delivered the optimal integration solution.

Before

~1 hour per flow for manual data transfer · Error-prone copy-paste between 3 separate systems · No audit trail or automated sync · Delays cascading into accounting and reporting

After

Fully automated data flow across all 3 platforms · End-to-end processing in under 1 minute · Zero manual intervention required · Reliable sync with full audit trail

<1 min

per flow, down from ~1 hour

Technology / SaaS

US company · AI Support pilot · 50–100 customer group

The challenge

Customer support demand required significant weekly effort. We implemented RAG-based AI Support in a controlled pilot (B group of 50–100 customers) to validate impact before full rollout.

Before

~6 hours/week of support effort · Manual responses to recurring questions · Slow ticket turnaround · Team stretched across support and core work

After

AI handles the vast majority of support interactions · Team now spends ~20 min/week on escalations only · RAG ensures accurate, context-aware answers · Pilot successfully validated for broader rollout

~95%

reduction in weekly support effort

Trucking & Insurance

US trucking company

The challenge

No scalable underwriting process existed for a new insurance product line. We implemented AI-generated underwriting reports, making a previously unfeasible product offering fully operational.

Before

No automated underwriting capability · Manual evaluation inconsistent and time-intensive · New product line not viable at scale · Unable to serve new customer segments profitably

After

AI generates structured underwriting reports automatically · New insurance product line launched and operational · Scalable process supporting business growth · Previously unavailable revenue stream now active

New LOB

entirely new business line enabled — not possible before

Frequently asked questions

Who is this programme really for?

Decision makers: CEOs, entrepreneurs, directors of operations, HR, finance, marketing, IT & security, and change leaders. Anyone who has to decide what, when and how AI is implemented in their organisation. Individual contributors can attend, but the content is built for people who hold the decision.

What does 'security first' actually mean?

It means we start from the premise that AI can be used safely in a business environment — and that you verify it rather than take it on trust. The workshop walks through the questions that decide it: where the model runs (on-premise or EU cloud), what the vendor's retention and training-on-your-data terms actually say, what data protection requires of you, how to keep decisions auditable, and where a human has to sign off before an irreversible action.

How long was the workshop and what did participants leave with?

6–7 hours in a single day. Participants left with a personal digital-maturity report, worksheets, the AI Security First playbook, a chosen pilot project and a signed 90-day action plan.

Where and when was the workshop held?

A tour across Romania in 5 cities — Oradea, Cluj-Napoca, București, Iași and Timișoara — between May and June 2026. Each session ran in small groups, capped at 20 decision-makers.

Who are the trainers?

Bogdan Hruban — founder of Wizeri, 20+ years in digital transformation, architect of the technical and security layer. Ligia Cremene — organisational psychologist and coach, specialist in systemic constellations and change management, leads the mindshift part of the programme.

Can I still get this programme for my team?

Yes — we now deliver AI Mindshift privately, on-site, for a single organisation. Get in touch to scope dates and format for your team.

Ready to lead AI adoption — not fear it?

The public tour across five cities has ended. We now deliver the same programme privately, on-site, for a single organisation — tailored to your team.

Request a private edition

Same method, same facilitators — scoped to your organisation's calendar and context.

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