September 11, 2025
Future-Fit or Bust: Building an Enterprise That Can Actually Keep Up
If your processes still run on spreadsheets and email, you’re not digital. You’re pretending. Digital transformation isn’t measured by how many SaaS apps you’ve bought. It’s measured by how seamlessly your people, processes, and data can adapt to change. Most enterprises fail that test.
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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...

May 5, 2025
The Data Strikes Back—Search Requires More Than Force
“The first amendment, the second amendment, the third amendment, the fourth amendment, the fifth amendment…” “Stop!” “The sixth amendment, the seventh amendment, the eighth amendment…” “Alexa, stop!” “The ninth amendment, the tenth amendment, the 11th amendment, the 12th amendment…” “Alexa STOP!” “The 13th amendment, the 14th amendment…” “ALEXA STOP!” One of my kids asked me...

May 1, 2025
Agentic Search: The Foundation of Successful AI Agents
Put on a blindfold at home, and you’ll probably manage just fine—barring the occasional stray Lego. Familiarity can carry you a long way, at least until you want to cook or rearrange furniture. But blindfold yourself on a busy sidewalk, and you’re suddenly a pinball, bouncing unpredictably without scoring points (and possibly getting flattened). We...

April 30, 2025
Interface Overload—How Fragmented Search Drains Focus and Productivity
Knowledge work frequently leaves us feeling like we’ve been navigating a particularly complex train system without the benefit of a smartphone. Instead of looking for information in one place, we’re bouncing between Slack, SharePoint, email, CRM tools, databases, and countless browser tabs. Information isn’t just scattered across silos of data—it’s scattered across silos of interfaces,...

April 30, 2025
It’ll Only Take Five Minutes is Killing Search—It Doesn’t Need To
It’s no secret in the world of enterprise software that what doesn’t scale doesn’t work. When software doesn’t scale, performance degrades rapidly as usage increases. The catch is knowing when something doesn’t scale and that’s not always immediately obvious. The problem here is that individual solutions can scale but when you put enough individual solutions...