Learn AI in practice: build an AI solution and discover how to deploy it in business processes with experts.
Our clients
We run a hands-on workshop: data assessment, quick wins, PoC, roadmap.
No “let's try” - we define the business hypothesis, models, integration, and success criteria from the start
Most AI projects stall at the start.
We run a workshop where, over 3-5 days, we define the task, validate the data, and launch an MVP model for a specific business problem.
AI Workshop: PoC, hypotheses, and business value in 5 days
We work on a specific business pain point: forecasting, classification, recommendations, CV, NLP. No abstractions or academic models.
During the workshop, we assess how suitable the data is for training models. We then prepare recommendations on how to improve or extend the dataset. Data collection and training of a basic AI model: together with the team, we build a minimum viable model (PoC). It demonstrates potential and provides a basis for justifying investment.
At the end, we create a realistic scaling plan, from pilot to production. All work is documented and handed over to your team.
From "let's try it" to a PoC that works in a week. The solution includes:
We run sessions with the business: define the hypothesis and the success metric
We assess data readiness, build the sample, and train the MVP model
We test on real cases, prepare a roadmap and ROI calculation. Business result:
You get a result - not a presentation about AI capabilities
The team is engaged and understands how it works
You get a ready development plan with a realistic assessment of the solution's potential, without unnecessary complexity, from idea and analysis to results
We consult We discuss goals and tasks, define priorities, and set expected outcomes for the joint work
We analyze your processes We study current processes and approaches, identify growth points, and determine which solution will deliver tangible results
We plan the solution rollout, define scope, stages, and timelines, assign responsibilities, and agree on the criteria for success.
Launch and support We implement the solution, train your team and provide support so the solution delivers tangible value
We run 3-5 day workshops: we validate data, build a PoC, and create a roadmap. The result is a working model, not a presentation. 5 days - from hypothesis to PoC 30+ workshops delivered across different industries 80% of ideas are confirmed by working prototypes 100% of the team is involved in the process Client reviews
FAQ
3-5 days. Deliverables include a defined business hypothesis with a success metric, a data suitability assessment, a minimum viable model (PoC), and a scaling roadmap from pilot to production. All work is documented and handed over to your team.
This is determined during the workshop itself: we check how suitable the dataset is for training models and prepare recommendations on how to improve or supplement it. An honest answer that the data is not yet sufficient is also a result - it saves the pilot budget.
A specific business pain point: forecasting, classification, recommendations, computer vision, or text processing. No abstractions or academic models - the task is defined together with the business, and the models, integration, and success criteria are defined at the same time.
Business stakeholders participate in the sessions where the hypothesis and success metric are defined, as well as the team that will continue working with the model: the PoC is built together with them, so after the workshop they understand how the solution works.
Make investment decisions based on a working prototype, not a presentation of AI capabilities. For that, there is a ready development plan with a realistic assessment of potential and project success criteria.
