India— Databricks, the Data and AI company, has released its latest State of AI Agents report, which reveals that organisations are moving beyond AI chatbots to coordinated, multi-agent systems that run real business workflows.
Based on insights from more than 20,000 Databricks customers worldwide, including over 60% of the Fortune 500, the report tracks how organisations are scaling and embedding their AI agents, modernising data architectures, and putting GenAI use cases into production.
Key findings include:
- Multi-agent systems are becoming the new enterprise operating model:
- Enterprises are transitioning from single chatbots to multi-agent systems built on domain intelligence. Use of these multi-agent systems grew by 327% in just 4 months.
- Real-time AI now dominates enterprise workloads, with 96% of AI requests processed in real time. Asia Pacific organisations process 82% of AI requests in real time, supporting use cases like copilots, customer support and personalisation.
- AI agents are driving core database activities:
- 80% of databases are built by AI agents.
- 97% of database testing and dev environments are now built by AI agents. This shift is driving the need for a new kind of AI-ready database designed to support autonomous, real-time AI workloads.
- AI is now part of critical workflows across industries:
- Most GenAI use cases are focused on automating routine necessary tasks, with 40% related to customer experiences.
- In Asia Pacific, market intelligence and strategic analytics are the top AI use cases in the region.
- Model flexibility is the new AI strategy with 78% of organisations using two or more AI model families and nearly 60% using three or more.
- AI evaluations and governance are the building blocks of production:
- AI evaluations are critical to ensuring high-quality outputs. Companies that use evaluation tools get nearly 6x more AI projects into production. Companies using AI governance put over 12x more AI projects into production.
- AI governance is a top investment priority, and grew 7x in nine months.
“Across Asia, we’re already seeing a decisive shift from pilots to production, with organisations embedding AI agents across critical workflows, infrastructure and databases,” said Nick Eayrs, Vice President, Field Engineering, Asia Pacific and Japan, Databricks . “Governance and evaluation are emerging as early signals of those scaling with confidence. The organisations that succeed will be those with strong data and AI foundations, clear ownership, and a disciplined focus on scaling what already works.”
Read the full State of AI Agents report here. We also have visualisations of some of the key findings here
