Strategy's Q1 2025 Release: Adopting an Agentic Architecture
In the rapidly evolving landscape of AI-driven analytics, Strategy's Q1 2025 release of Auto 2.0 introduces a groundbreaking agentic architecture, empowering businesses to harness specialized AI agents for tailored, automated solutions that transform data into actionable insights.
Introducing Auto 2.0
Our Q1 2025 release marks a major leap forward with Auto 2.0, the next generation in AI-driven analytics.
Built on an agentic AI architecture, Auto 2.0 leverages multiple specialized AI agents to automate business functions, enabling customers to build tailored solutions for their most valuable use cases.
Beyond AI innovation, Strategy One offers superior performance and user experience, empowering you to stay ahead in an era of rapid transformation. Explore the power of agentic AI and discover what’s new in our latest release.
What is Agentic Architecture?
Agentic architecture is a subcategory within AI that refers to systems designed with autonomous agents. The specialized agents perform specific tasks in order to better analyze data and generate insights.
These customizable agents are equipped to respond to natural language queries by offering contextual recommendations, actively assisting decision-making, and triggering workflows using the latest data.
Strategy’s Auto 2.0 is powered by an agentic AI architecture that enables AI agents to specialize further and enhance the entire analytics lifecycle. This flexible framework fosters stronger customer partnerships, allowing us to develop tailored solutions that address your most valuable business needs and streamline existing workflows.
Real-World Application for AI Agents: Retail Banking
AI agents are revolutionizing how businesses interact with data, making it easier for users of all skill levels to explore insights through natural language conversations. With Auto 2.0, enhanced conversational capabilities and interactive visualizations allow a more intuitive and seamless data experience.
A Banking Associate at a retail bank may already be using Strategy for financial reporting when preparing for client meetings. While a consolidated view provides valuable insights, the associate may require additional details. With Auto 2.0, non-technical users can ask the AI agent direct questions and uncover relevant information without manually searching through reports.
Thanks to its agentic architecture, Auto 2.0 seamlessly navigates the semantic layer where critical information like security filters, access control lists (ACLs), and object descriptions reside. Its intelligent design respects these boundaries while delivering comprehensive insights.
Banking associates can effortlessly explore multiple domains in a single conversation – from recent account activity and product performance metrics to fee structures and customer relationship data.
Specialized Agents for Secure, Dynamic Insights
Behind this seamless experience, specialized AI agents work in concert, each trained to access and interpret specific datasets while maintaining data governance protocols.
For example, the router agent directs questions to the appropriate knowledge domains, while other agents retrieve precisely filtered information and transform complex data into actionable insights, ensuring precise insights on everything from operations to customer experiences.
With Strategy AI's secure framework, financial institutions can maintain granular control over who sees their information, ensuring compliance while empowering associates to make informed, data-driven recommendations that truly benefit their customers.
Whether automating financial reporting, predicting inventory needs, or generating dynamic insights, agentic AI helps businesses act faster and make smarter decisions, transforming data into a powerful competitive advantage.
The Future of AI and BI is AUTOnomous
Agentic architecture is not just an improvement on traditional BI, it represents the future of how businesses interact with data. As AI continues to evolve, BI systems will shift from passive data reporting tools to proactive, intelligent assistants that drive real business outcomes.
Businesses that embrace agentic AI will be better equipped to navigate complexity, seize opportunities, and maintain a competitive edge in an increasingly data-driven world.

The Q1 2025 Strategy One release reinforces our vision of Auto supporting the entire analytics lifecycle from data management to visualizations to actionable insights.
Curious about how our upgraded Auto is revolutionizing the AI BI landscape? Learn more about Strategy One product releases in our release notes or on the What's New page.
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