Workshops “Data and Artificial Intelligence in the organization”

The first, conscious step toward
a data- and AI-driven organization

Data and Artificial Intelligence are becoming key strategic assets today. Organizations collect vast amounts of data, invest in analytical tools, and test AI solutions, yet many still struggle to translate these efforts into concrete business decisions and measurable results.

The problem is rarely the technology itself. Much more often, there is a lack of clarity about:

• which areas of the company’s operations can realistically be supported by Artificial Intelligence solutions in a way that leads to measurable business benefits,
• which use cases are worth starting AI investments with, taking into account profitability, scalability, and real implementation feasibility,
• whether ready-made AI tools available on the market are sufficient and how to adapt them to the organization’s specific needs, or whether it is necessary to design a dedicated solution.

Every organization today has data – operational, transactional, analytical, or customer-related. What is often missing is a shared understanding of their potential and the direction in which they should be developed and used.

During the workshops, together with the client’s teams, we:

• analyze available data and its actual usefulness,
• identify areas where data and AI can deliver real business value,
• uncover bottlenecks and issues in current data and analytics processes,
• align data & AI initiatives with the organization’s business goals.

The result is a clear picture of opportunities, constraints, and priorities, enabling informed decision-making instead of experimenting blindly.

The workshops are designed for organizations at different levels of data and Artificial Intelligence maturity, especially those that:

1. want to start working with data and AI in a structured and strategic way,
2. are already running analytics or AI initiatives but lack coherence and prioritization,
3. need better alignment and understanding between business, IT, and analytics teams,
4. want to avoid fragmented, costly experiments that deliver no real value.

The workshops are particularly valuable for people responsible for digital transformation, data strategy, analytics, AI, and business development.

The workshops are a comprehensive consulting service that combines preparation, intensive hands-on workshop collaboration, and structured post-meeting recommendations.

The workshops are delivered by a dedicated team of experienced 3Soft experts, combining business, analytics, and technology perspectives.

The main goal of the workshops is to support organizations in the practical and business-justified implementation of solutions based on Artificial Intelligence.

• an initial analysis (pre-work),
• full-day workshops with the participation of business and technology teams,
• summary, recommendations, and post-workshop support.

When and why should data and AI be used?

• Which business problems truly matter, and where can AI deliver the greatest value?

What should the outcome be?

• How do we measure success, and how do data and AI initiatives support the organization’s long-term goals?

• What data do we need, what do we already have, and which platforms and architectures make sense?
• Should we implement off-the-shelf tools, or do we need dedicated Artificial Intelligence solutions?
• Should we choose cloud-based solutions or on-premises ones?

Thanks to this approach, AI implementation is purposeful, responsible, and aligned with strategy – not driven by short-term hype.

The outcome of the workshops is a set of concrete deliverables that genuinely support decision-making and next steps.

The organization receives:

• a structured list of data and AI use cases,
• a prioritization matrix (business impact vs. implementation effort),
• an initial assessment of scale, complexity, and benefits of the solutions,
• high-level solution and architecture models (including recommendations – cloud or on-premises),
• an implementation roadmap showing sequence and dependencies.

These results reduce risk, bring clarity to the direction of activities, and provide a solid foundation for the next stages.

A key element of the workshops is the prioritization of identified data and Artificial Intelligence use cases.

After the workshops, we create a structured overview of initiatives along with an assessment of the trade-off between:

• potential business impact,
• and the estimated effort required to design and implement them.

Each use case is analyzed in terms of impact (e.g. cost optimization, additional revenue) and feasibility (data availability, analytical complexity, critical dependencies).

Based on this, we classify initiatives as:

• priority initiatives,
• quick wins,
• long-term investments,
• lower-priority actions or initiatives suitable for selective execution.

The outcome is a clear recommendation on which use cases are worth starting with, based on data, shared workshop discussions, and 3Soft’s experience from delivering previous projects.

We deliver our workshops based on Design Thinking – a proven workshop methodology that combines business needs, user perspectives, and technological capabilities.

This approach allows us not only to generate ideas, but above all to focus on the right problems and guide them toward real, implementable solutions.

Design Thinking provides a collaborative framework in which data and Artificial Intelligence are analyzed in the context of the organization’s real challenges, rather than in isolation from them.

Applying Design Thinking in the workshops ensures that the resulting recommendations:

1. are better aligned with the organization’s real-world context,
2. gain stronger stakeholder buy-in,
3. provide a solid foundation for next stages such as PoC, MVP, or production deployment.

As a result, the workshops are not a one-off event, but a conscious starting point for a coherent data & AI development journey.

The workshops are led by experienced 3Soft experts operating at the intersection of business, data, and Artificial Intelligence.

We work based on real organizational challenges and proven approaches developed through projects delivered for clients.

The workshops are led by our Chief AI Officer, Marcin Dąbrowski, who, based on an analysis of the client’s needs and organizational specifics, tailors the workshop team to the specific needs of each client.

Marcin Dąbrowski

Chief AI Officer

A business and systems analyst with over 10 years of experience, combining business and technological expertise to identify valuable applications of LLM-based solutions and implement them effectively.

A GenAI enthusiast, co-creator of Poland’s largest language model BIELIK and leader of the Obywatel Bielik project – an application supporting one of the largest European citizen science initiatives in AI.