Turn advanced technologies into human-centered solutions, so you can make them work in your business.
We help you explore, evaluate, and develop human-centered AI solutions around business challenges, grounded in your own context, data, and decision-making needs. Through applied research, rapid experimentation, and human-centered design, you can learn faster, reduce uncertainty, and turn emerging technology into practical business value.
The AI Center studies emerging advances in AI and connects them to the practical problems the network faces today.
We build and apply methods grounded in how the network actually works, which lets us work through the harder parts of people and AI together and turn what we learn into tools others can reuse.
Working this way, you move faster and keep full control over your own AI development.
Fast Labs are a focused 2-week R&D cycle focused on solving a well-posed problem that supports Associated Companies with a working prototype, documented findings, and integration recommendations.
In-depth anthropology research cycle focused on the Individual Contributor Level to understand AI adoption and its impacts across future of work topics to identify strategies and tactics to make AI scale at the current frontier.
Network onlyOn a crisp February morning in Stockholm, Accenture Chair and CEO Julie Sweet sat down for a conversation with Mats Agervi just moments before stepping on stage at the Combient Senior Executive Conference 2026. The interview goes behind the keynote and into the boardroom reality of AI. Rather than another high‑level talk about potential, Julie reflects on why the coming years will separate those who experiment with AI from those who truly reinvent their businesses with it. She discusses what she is hearing from global CEOs, where the urgency is coming from, and what changes most when companies move from pilots to large‑scale deployment.
Network onlyChina's automation landscape is drawing global focus, but the story is richer than simple data or robot numbers suggest. At a recent Combient Smart Production Forum, IKEA showcased how it is fundamentally rethinking global supply chain automation in China's distinctive manufacturing environment.
As generative and agentic AI technologies rapidly evolve, organizations must align these tools with human needs and operational strategy. In this video, Jeff Chen, Head of the AI Center at Combient, explores how we normalize human-centered AI by combining interdisciplinary research, collaborative sprints, and clear governance frameworks. Discover key insights on honing human delegation skills, establishing organizational "rules of the game," avoiding over-reliance on AI, and applying autonomous decision-making at the edge.
What is true today in AI is perhaps not true tomorrow.