SWIRL Blog

July 22, 2025

Agentic Search—Your Antidote to Tool Chaos

Technology companies love tools. Internal wikis, chat threads, versioned code, scattered docs, ephemeral insights—every system solves a problem, until it becomes one. Then the search begins. Your engineer needs a deployment script. Is it in Notion? Buried in a GitHub gist? Maybe in that shared Drive folder from last quarter? Good luck. Multiply that friction...

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...

May 9, 2025

Speaking Human—Conversational Search With AI

It’s time to stop searching in a foreign language. Working with computers forces people to think like a computer and communicate in a language the computer understands. Although keyword-based queries are a big step up from writing code, they are awkward, often require playing “guess the keyword,” and still frequently miss the mark. They’re still...

May 6, 2025

Agentic AI Without the Baggage: Why SWIRL + MCP is the Smarter AI Search Stack

There’s a common misconception in enterprise AI:If your AI agent needs access to internal knowledge, you first need to build a vector database. It sounds logical until you actually try it. Suddenly you’re drowning in embeddings, data pipelines, security concerns, and months of effort just to get a prototype off the ground. But here’s the...