DAIN Studios

Empowering people with data and AI skills means equipping them to drive real business impact. At A1 Telekom Austria Group, we collaborated on a large-scale training initiative designed to enhance data literacy and drive business-driven AI adoption. The program brought together 1,000 business leaders and 2,000 employees, equipping them with the skills to identify and develop AI use cases that make a difference. The approach combined: ✅ Hands-on learning tailored to business needs ✅ Cross-functional collaboration between data experts and business leaders ✅ A structured, scalable framework to ensure lasting impact And the results? 86 use cases generated across 8 cohorts, a stronger culture of data-driven decision-making, and increased collaboration across teams and countries. This kind of transformation is what happens when structured learning meets real-world business challenges. Read the full story (link in comments) to see how A1 is making data and AI work at scale.

Join us on March 31 at Tiedekulma in Helsinki—or online—for an in-depth discussion on turning AI strategies into real-world impact. AI is reshaping business decision-making, but moving from strategy to implementation is where the real challenge lies. This session brings together leading experts to explore frameworks, best practices, and concrete examples of AI in action. Our speakers include: Lauri Järvilehto, Professor of Practice, Aalto University Sami Ahma-Aho, AI Architecture Lead, Neste Niina Hagman, Director, Data & AI Transformation Advisory, DAIN Studios Karoliina Partanen, Director, AI Finland, will also be sharing the latest news from AI Finland. Looking to bridge the gap between AI strategy and execution? This session is for you. Register: link in comments.

Businesses today handle more data than ever, yet making timely, informed decisions remains a challenge. What if AI could change that—turning complexity into clarity, automating research, and delivering insights in real time? AI agents are reshaping how work gets done, acting as a coordinated team rather than isolated tools. At DAIN Studios, we’ve built multi-agent AI systems that enhance decision-making, streamline operations, and drive business impact across industries. In real-world applications, AI agents take on specialized roles: ✔ Market Research Agent gathers real-time insights on competitors, trends, and pricing ✔ Financial Planning Agent analyzes costs, forecasts, and risk scenarios ✔ Operations Agent optimizes workflows and resource allocation ✔ Custom AI Agents adapt to unique business needs, whether in compliance, customer service, or strategic planning This structured approach allows organizations to act faster, scale intelligence across functions, and focus on high-value strategic work. AI agents are becoming an essential part of modern business, enabling companies to manage complexity, improve decision-making, and create more adaptive, data-driven workflows.

Recognizing Women in AI on International Women’s Day Today, we highlight the contributions of women shaping the future of AI. Congratulations to Ulla Kruhse-Lehtonen, co-founder of DAIN Studios, for being recognized as one of the Top Women in AI in Finland by AI Finland Ulla has played a key role in advancing AI and data strategy, bringing expertise, vision, and a strong commitment to responsible AI. This recognition reflects her impact on the field and the broader AI community. Congratulations to Ulla and all the other women featured on the list. Their work is shaping the future of AI and setting an example for the next generation of leaders.

Congratulations to Ulla Kruhse-Lehtonen for being recognized as one of the top women in AI in Finland! I am proud to have you as a co-founder of DAIN Studios alongside Saara Hyvönen. Congratulations also to all the other inspiring women featured! For the none Finns - this is the list of the Top Women in AI of Finland!

Industries are shifting fast—AI, automation, and data-driven decision-making are no longer optional. Whether in telecoms, manufacturing, or finance, organizations must harness AI agents, predictive analytics, and real-time automation to stay ahead. At DAIN Studios, we work with businesses to embed AI into their core operations—from optimizing networks to enhancing customer engagement and driving data literacy. Our work with companies like A1 Telekom Austria Group proves that when employees embrace AI-driven tools, they unlock smarter strategies, proactive problem-solving, and competitive advantage. Read more: https://lnkd.in/dKCHDb7Z

Better AI experiences lead to stronger adoption and greater impact ->

AI is transforming knowledge work on a fundamental level. In his latest newsletter article, “The Knowledge Shift,” our Director of Data & AI Literacy, Tizian Kronsbein, examines how organizations can transition from merely using AI to actively curating the knowledge behind it. The result? Faster insights, streamlined workflows, and more informed decisions. Explore Tizian’s latest piece here: https://lnkd.in/g7TckBhe

2025 is in full swing, and at DAIN Studios we are curious: what will be your main priority, regarding AI, for this new year? Let us know below!

A few days ago, I shared our multi-agent solution for transforming enterprise sales negotiations. Throughout our development journey, we discovered how much an effective AI architecture mirrors successful human teams—clear roles, well-defined responsibilities, and a strong planning role to coordinate everything. Recently, I came across Patrick Dougherty’s post on designing an effective Multi-Agent System. His key points resonates with our experiences at DAIN Studios and provides valuable guidance for rethinking business processes through agents. Here are a few highlights: ▶️ Planner Agent (or Manager): A central coordinator ensures each specialized agent (finance, market research, scenario planning, etc.) focuses on its domain, validating and passing insights to the user. ▶️ The Two-Pizza Rule: Human teams benefit from being small, specialized, and agile—AI teams are no different. One orchestrator agent aligns everyone’s efforts for maximum efficiency. ▶️ Exponential Efficiency: A well-structured multi-agent approach can turn tasks that once took hours or days into mere minutes. ▶️ Rethinking Workflows: It’s not just about speeding up existing processes—it’s about reimagining them for greater impact. While agents imply a lot of automation i still want to emphasize that one of the core solution design element is to realize an effective and intuitive human-machine interface along the business process you aim to augment. This smart augmentation will allow the sales teams to amplifying their capabilities with instant insights and automated research—enabling them to make faster, more strategic decisions. To learn more, check out Patrick’s article https://lnkd.in/eRPJ4Gph and our blog post on the AI Sales Negotiator https://lnkd.in/eMcF-neB. Both pieces showcase how structuring AI teams around real-world, value-driven principles can yield transformative results.