AI Adoption
8 out of 10 AI projects fail, and only 1 out of 10 because of the technology. The rest get stuck exactly where we've worked for years: decision clarity, workflows, and people afraid of change. We facilitate the part of AI adoption a software implementer can't deliver.
Sound familiar?
"We bought the licenses. 10% of people actually use them." Tools don't adopt themselves. Without redesigned workflows and a personal reason to use them, licenses stay a cost, not a capability.
"Every department is experimenting on its own." Shadow AI: people are already using AI, unaligned and unsafe. The fix isn't a ban: it's shared direction and clear limits within which experimentation is safe.
"People are afraid layoffs are coming, so they smile in training and quietly sabotage it." 67% of executives name organizational resistance as the top barrier (McKinsey). Fear doesn't get cancelled by a memo; it gets worked through in the room, with processes that create safety.
Why AI projects fail (and why it's a facilitation problem)
The numbers behind the failure don't point to a technical problem; they point to people and process, the same raw material we've worked with for years.
- BCG: causes of failure
- 70% people and process, 20% infrastructure, 10% algorithms.
- MIT NANDA (2025)
- 95% of GenAI pilots show no measurable financial impact.
- McKinsey
- 88% of organizations already use AI, but only 39% see impact on EBIT.
None of these numbers get solved with more technology. They all get solved with alignment, process, and people taken seriously, which is exactly what a facilitator does.
The program, in three interventions
AI Strategy Offsite
- Who it's for
- leadership teams feeling the pressure to "do something with AI", without a shared direction.
- What you get
- an AI maturity diagnosis, an opportunity map prioritized by value vs. effort, a strategic roadmap and 90-day action plan, and the first governance decisions (what's allowed, what isn't, who decides).
- Format
- one facilitated day; an optional 1–2 hour keynote to open.
- Who facilitates
- Bülent Duagi + Raluca Păduraru.
Team adoption labs Most popular
- Who it's for
- non-technical teams: sales, marketing, HR, finance, operations, customer support.
- What you get
- a needs analysis before the session, hands-on labs built on participants' real workflows (not generic demos), real tasks solved during the session, and a responsible-use guide.
- Format
- a lab from 4 hours to 2 days, groups of up to 15.
- Who facilitates
- Raluca Păduraru + Ana Răduț.
The AI Champions Program
- Who it's for
- organizations that want adoption to continue after the facilitators leave.
- What you get
- selection and training of an internal network of AI champions, a moderated community of practice, facilitated redesign of key workflows, and adoption pulse checks at 30/60/90 days.
- Format
- a 3–6 month engagement, monthly sessions plus support in between.
- Who facilitates
- Ana Răduț + Bogdan Grigore (fear dynamics and psychological safety during change).
Every intervention is built on your context, not off the shelf. We also cover employees' AI-literacy obligation under Article 4 of the EU AI Act, in force since February 2025.
For teams who want AI to train conversation skills directly (feedback, sales, support), not just workflows, we also run a conversation simulator with AI role-play, as repeated practice after any lab.
How we work on this
- Diagnosis. Where adoption gets stuck: at direction (leadership), competence (teams), or fear (culture). The first conversation is free.
- Alignment. We start at the top: without shared direction at leadership level, any training is a cost, not an investment.
- Labs. Teams work on their own real tasks, not generic examples.
- Follow-through. Adoption is measured at 90 days, not at the end of the workshop.
Who's in the room
The team is assembled at diagnosis, depending on where adoption is stuck. Three facilitators come up most often on this topic: Raluca Păduraru (Strategic Foresight & AI), Bülent Duagi (strategy & team effectiveness), and Ana Răduț (leadership & organizational development). For longer accompaniment programs, Bogdan Grigore brings his psychological-safety practice for the moments when fear of change blocks adoption.
Frequently asked questions
No. Projects that start with picking the technology have the highest abandonment rates; only 15% of employees say their organization has communicated a clear AI strategy. Direction and the business problem come first, the tool comes after.
We're complementary, not competitors. The implementer delivers the system; we deliver the part that kills 70% of projects: leadership alignment, workflow redesign, real adoption inside teams. We work well alongside an internal or external technical team.
That's exactly when it makes sense. Unspoken fear is the most expensive blocker of adoption: people smile in training and route around the systems afterward. We work with resistance out in the open, not around it.
Article 4, in force since February 2025: organizations using AI systems must ensure a sufficient level of AI literacy among the staff operating them. Our labs cover the requirement with documentation at the end.
Has the pressure to "do something with AI" reached you too?
A free, 30-minute diagnosis tells us whether the blocker is direction, competence, or fear, and whether we can help.
Let's talk about AI adoption