From insight to execution.
This workshop lays the groundwork for targeted AI deployment. Together, we analyze core processes in your organization to identify where AI can deliver tangible impact—aligned with your tech and operational reality.Target group: Management, process owners, business & ops teams, innovation managers. Suited for both entry-level and experienced teams.

This compact, benchmark-based assessment helps you evaluate how well your organization is positioned to leverage AI effectively. Together, we analyze the four key dimensions – strategy, processes, technology, and culture – to uncover blind spots, clarify your AI potential, and define actionable next steps.

Duration: 1½ days total (incl. Prep & Wrap-up)

Target group: Executives & decision-makers, especially: C-Level, department heads, digital, strategy & innovation leads, IT and process owners

In this strategic workshop, we develop a tailored GenAI ambition for your organization. Together, we define a shared understanding, clear goals, and a realistic vision for the role of AI in your business. It’s the ideal starting point for companies wanting to think ahead before building.

Duration: 1 day + Prep & Wrap-up

Target group: Management, strategic decision-makers, and transformation leads – especially in strategy, innovation, and digitalization.

This multi-day offsite format helps leadership teams build a realistic, organization-specific GenAI strategy. Away from daily operations, we evaluate your market, technology, and structures, and define your most impactful action areas for clear, aligned roadmap with realistic next steps and full organizational buy-in.

Duration: 3-4 days offsite (confidential format)

Target group: Executives, strategy leads, and decision-making teams.

You bring the use case — we bring the AI expertise. We work together to validate your idea, design a fit-for-purpose solution, and build a functional prototype that fits your tech stack and workflows. Whether it's an internal tool, a client-facing assistant, or a data-heavy automation case — we’ll rapidly iterate with no-code or low-code tools, test feasibility, and deliver a first proof-of-concept.

Relevant for: Innovation teams, IT architects, and domain experts with specific challenges

Solutions:

AI-assisted onboarding & role-specific training

Internal knowledge base copilots

Document-based learning assistants

Relevant for: HR, L&D, and operations teams in training-intensive or regulated industries

Solutions:

Legal & policy document review

Compliance monitoring & alerts

Export control & ESG copilots

Relevant for: Legal, compliance, and ESG leaders in export-heavy, regulated sectors

Solutions:

AI research agents for customer discovery

Automated sales collateral & pitch generation

CRM task assistants

Relevant for: Any sales team out there

Solutions:

Executive report copilots

Scenario simulation tools

Go-to-market optimization assistants

Relevant for: Strategy, finance, and executive teams driving growth or market entry

Solutions:

Anomaly detection from sensors

Monitoring dashboards

Predictive maintenance copilots

Relevant for: Ops, quality, and maintenance teams in manufacturing and engineering firms

Solutions:

Virtual chat & email assistants

Sentiment and feedback analysis

Multilingual support copilots

Relevant for: Heads of Customer Service, CX & Support, B2B service providers, insurers, utility companies, companies with multilingual customer bases

Challenge:

Enterprises overspend on AI inference by using the same model for every task, regardless of complexity.

Our Solution:

A smart, prompt-aware router that dynamically selects the optimal model for each task—reducing inference costs by up to 85% while maintaining output quality.

Finding:

Our LLM router achieved over 95% accuracy in model selection, enabling faster, cheaper, and more efficient deployments.

Challenge:

Lack of transparency in AI outputs creates trust and compliance issues, especially in retrieval-augmented generation (RAG) settings.

Our Solution:

We integrate real-time explainability algorithms that detect hallucinations and trace model reasoning paths through external knowledge.

Finding:

We reduced hallucinations in RAG scenarios by up to 95% and provided interpretable outputs aligned with the EU AI Act.

Challenge:

Large models are compute-heavy and environmentally costly to run in production.

Our Solution:

We distill large models into compact, performant versions using advanced pruning techniques and knowledge distillation on HPC clusters.

Finding:

Our KafkaLM-15B achieved a 37.5% size reduction with over 90% of the teacher model’s performance, enabling faster inference, lower cost, and better carbon efficiency.

This strategic hackathon helps leadership teams explore what a truly AI-first version of their company could look like – from structure to culture. Together, we build a future vision, key priorities, and a bold transformation blueprint.

Duration: 3 days offsite – weekends possible

Confidential format.

Target group: Executive boards, founders, and C-suite leaders with innovation mandate.

In this collaborative format, you bring the use case—we bring the AI expertise. Together, we’ll validate the idea, design the solution, and deliver a working prototype tailored to your tech stack. With rapid iterations and no-code tools, you’ll leave with a functional and testable PoC—built for real-world needs

Target group: Innovation Leads, Product Managers, IT Architects, C-Level Teams

In just a few days, we define and prototype your AI idea. With real use cases and rapid testing, you get clarity, validation, and a roadmap for execution – including technical feasibility.

Duration: 2 days + Prep & Follow-up

Target group: Product, innovation, and business owners solving real problems with AI.