Data topics

AI agents and workflow automation are often treated as competing approaches, but the real power emerges when they work together. As agents evolve from simple chatbots to autonomous decision-makers and automation platforms become more intelligent and flexible, organizations can combine both to achieve higher reliability, faster execution, and deeper insights. This post breaks down the agent and automation spectrums, explains why Mode 1 (Execute) and Mode 2 (Explore) are both essential, and shows how their convergence enables smarter, safer, and more scalable AI-driven operations.

In today’s data-rich world, asking questions is no longer enough—what matters most is taking action. This blog introduces Tellius Agent Mode, a transformative leap into agentic analytics where AI agents don’t just answer queries—they plan, analyze, explain, and act. You’ll learn how Tellius marries a semantic layer, multi-agent orchestration, and business context to create an analytics ecosystem that moves beyond dashboards. With Agent Mode, you can automate multi-step workflows like root-cause detection, forecasting, and scenario planning—all through conversational goals. The result? Analysts elevate their focus to strategy while operational teams get trusted insights when they need them. Whether you're scaling analytics across sales, finance, or supply chain, this blog shows why Agent Mode is the architecture ready for enterprise intelligence at the speed of decision.

This guide lays out a complete picture of where augmented analytics is headed in 2025. It goes beyond buzzwords to explain how AI agents, conversational interfaces, generative insights, and governed semantic layers combine to deliver more than just “what happened”—they show why things change and what to do next. Expect deep dives into agentic workflows, scalability, governance challenges, and real use cases across industries. Whether you’re redesigning your data stack or evaluating new analytics tools, this is your roadmap to making augmented analytics work in practice.

For years, analytics tools promised guided insights—but often delivered static dashboards, confusing filters, and a steep learning curve. This blog explores how modern AI agents are changing the game. Unlike their predecessors, these intelligent systems understand user intent, dynamically investigate data, and return clear, actionable results conversationally. They uncover deeper “why” analysis, adapt to context, integrate seamlessly into workflows, and make insights accessible to business users without technical expertise. Discover how Tellius is ushering in a new era of empowered decision-making: fast, trusted, and built for the way we think.

As AI agents take over routine data tasks, the traditional analyst role isn’t disappearing—it’s evolving. In the “agentic era,” analysts transition from data cleaners and report builders into orchestrators who guide AI workflows, interpret results, and embed insights into business decisions. This blog explains the mechanics of agentic analytics, explores how AI handles repetitive work, and defines the new skills needed—like prompt engineering, bias review, and ethical oversight—to thrive alongside autonomous systems.

Faster drug approvals are coming. Here's how field sales, market access, and brand teams must adapt—and why AI analytics is no longer optional.

Tellius has been named a Visionary for the 4th year in a row in the 2025 Gartner® Magic Quadrant™ for Analytics & BI Platforms. Why? Because we’re not just stopping at dashboards. We’re moving the industry forward with: - GenAI-powered conversational analytics - Agentic flows that connect insight to action - An end-to-end platform built for enterprise-grade governance The future of business intelligence isn’t just pretty charts. It’s intelligent decisions—made faster.

AI agents are not a “nice-to-have”; they’re a must-have if you want to break free from analysis paralysis, truly democratize data-driven decision-making, and scale your analytics across hundreds (or thousands) of business users. The real promise of data democratization is not just in enabling more people to ask questions, but in enabling those questions to be answered comprehensively and autonomously.

The path from dashboard sprawl to true self-service isn't just about better technology—it's about unlocking your team's ability to act on insights in real-time. While traditional BI tools force pharma teams into endless workarounds, AI-powered platforms like Tellius are purpose-built for the complexity, compliance requirements, and speed demands of commercial pharma.

Traditional self-service BI tools promised independence but often left users dependent on analysts and stuck with complex interfaces. AI agents are now transforming the analytics landscape by managing complexity, automating workflows, and reasoning behind the scenes. Paired with a semantic knowledge layer, these agents deliver accurate, business-aware insights. With Tellius, users don’t need to learn analytics—they just ask questions and get answers. True self-service has finally arrived.

AI analytics has evolved from dashboards and copilot tools to agentic intelligence Business users now get autonomous recommendations, not just answers Platforms like Tellius combine conversational AI, agent orchestration, and memory The result: faster insights, better decisions, and less dependency on data teams. In 2025, AI analytics isn’t a feature. It’s a fundamental shift in how decisions get made.

Tellius AI Agents and AgentComposer transform business analytics by automating complex multi-step analysis through specialized autonomous agents. Unlike generic chatbots or RPA tools, these agents leverage your enterprise data and business context to deliver deep insights across sales, marketing, finance, and manufacturing—turning questions into actions in minutes instead of days. With no-code agentic workflows, organizations can achieve 100X productivity gains and continuous, data-driven decision making.

AI agents aren’t just hype—they’re the engine behind the next generation of self-service analytics. This post breaks down how agentic AI enables multi-step, contextual analysis workflows that automate the grunt work of business intelligence. Learn what makes agentic systems different, what to look for in a true AI-native platform, and how Tellius is pioneering this transformation.