SWIRL Blog

November 20, 2025

The Confidence Economy: Don’t Be The Sorcerer’s Apprentice

The problem is no longer lack of data. It’s no longer an inability to retrieve data. Today’s problem is knowing which data to trust. It’s like the sorcerer’s apprentice commanded the broomstick to bring buckets of bits instead of buckets of water, but the result is much the same: data, data everywhere, with no time to stop and think.

June 17, 2025

SWIRL Enterprise 4.2: Bringing AI Search to the Kingdom of Search

You’d be forgiven for thinking it’s a little strange—maybe even pointless—to bring AI-powered search to Google Workspace. After all, this is Google. The company whose name is synonymous with search. Trying to enhance Google with better search feels a bit like installing sprinklers in a rain forest. But here’s the thing: while Google’s public web...

June 12, 2025

When Agents Go Rogue: How Agentic Search Keeps AI in Its Lane

AI agents are quickly becoming a centerpiece of enterprise transformation strategies. They promise to handle routine tasks, retrieve information, make decisions, and even initiate actions autonomously. On paper, they look like the future. In reality? They often act more like cats given car keys—enthusiastic, fast-moving, and completely unaware of the chaos they can cause. It’s...

June 10, 2025

Doing Trust Falls with AI: Agent Adoption Starts Long Before You Think

When we talk about building AI agents, most of the focus is on infrastructure: how to connect agents to the right systems, how to manage access controls, and how to ensure reliable, secure data delivery. And yes, those are critical components—after all, agents can’t do much if they don’t have access to the right information...

June 5, 2025

What’s Stopping You? Overcoming the Three Most Common Obstacles to Building AI Agents

You’ve got the vision. The pilot runs beautifully. Everyone’s excited about automation, AI-powered productivity, and the promise of agents that can handle everything from summarizing meetings to drafting reports and answering questions. But just when it’s time to scale… progress stalls. Reality obnoxiously asserts itself. That promising AI agent project starts to fizzle, and no...

June 4, 2025

Escape the Complexity Trap—Powering Agentic Search Without the Overhead

Everyone wants AI agents, whether to create multi-step automation, automatically update wikis and other information repositories, generate sales leads, or dozens of other uses. The biggest challenge, however, isn’t the AI part of the equation; rather, it’s providing the fuel: data. Data Powers AI—If You Can Get It More than ever, data is the fuel...

May 29, 2025

Beyond Data Centralization: Evolving Agentic Data Access

It’s a bit like evolution in action. In nature, evolution favors traits that help organisms thrive. But when the environment shifts suddenly, those once-useful traits can become useless appendices. The same holds true for enterprise technology. Every software or system you adopt solves a problem… until the environment changes. And in 2025, the environment has...

May 23, 2025

The End of Data Remodeling? How to Develop AI Agents Faster, Cheaper, and More Securely

ETL and other data remodeling projects are, quite possibly, the biggest blockers of AI agent development. According to BCG, 74% of organizations struggle to achieve value from their AI initiatives, only 4% have developed truly cross-functional AI capabilities, and 29% of AI agent projects missed deadlines in 2024. AI agents are only as good as...

May 23, 2025

Missed Insights Are Expensive. What’s In Your Data Blind Spot?

Ever feel like there’s some critical piece of information that you just can’t find? That there’s something important, something that would help you make better decisions, sitting just out of sight? Data should be a strategic advantage. It’s supposed to fuel smarter decisions, drive customer satisfaction, and reveal new revenue opportunities. But for many businesses,...

May 13, 2025

Lost in Data—Seeking, Not Finding

Hansel and Gretel had it easy. They were only lost in the woods once. And despite some awkwardness with a witch and a candy house, it ended up working out pretty well for them. Modern teams, on the other hand, may not have to worry about being eaten by a wicked witch, but they do...