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.

November 18, 2025

The 2.4-Hour Black Hole: How Your Teams Waste a Third of Their Week

Employees want to do meaningful work. But too often, they spend their days hunting for it. According to a Forester report, across enterprises, workers lose about 2.4 hours a day simply trying to find the right document, the latest version of a spreadsheet, or an answer buried in an email chain.

November 13, 2025

Agentic AI: Beyond Chatbots and Into the Enterprise

Chatbots and copilots have captured the imagination of business leaders and employees alike. They can draft an email in seconds, summarize a meeting transcript, or brainstorm copy. But when you ask them a complex, business-critical question, “What are the top compliance risks across our contracts and email threads this quarter,” they fail. Why? Because they’re only as good as the data they see.

November 11, 2025

Your Organization is Fractured and it’s Killing Your AI Ambitions

On the surface, most enterprises look digital. There’s a slick stack of cloud apps, collaboration tools, and analytics platforms. But underneath, those tools don’t connect. Marketing runs its dashboards. Finance locks away spreadsheets. Sales lives in the CRM. Product has its own delivery systems.

November 6, 2025

Agentic AI Is Starving for Context—SWIRL Delivers It Without Breaking Your Stack

CTOs already see what’s coming: agentic AI will be embedded in core business processes, not just chatbots or copilots. But the leap from generative novelty to autonomous utility exposes a hard truth—our data infrastructure isn’t ready. Agents need access to live, high-quality, multi-source enterprise data to function. Right now, they’re flying blind.

November 4, 2025

You Don’t Need a Clean Stack. You Need a Smarter Interface

Too many systems. Too many formats. Too many security layers, brittle APIs, and legacy platforms are duct-taped to cloud services. So you wait. You plan a data centralization project—18 months, maybe 24. You draft the budget. You start scoping integrations.

October 31, 2025

Save the Zombies! AI Search Keeps Brains Where They Belong!

Data analysts are spending more and more of their time hunting data, not analyzing data. Hunting in multiple locations. Multiple interfaces. Apps. Databases. Internal wikis. Cloud drives filled with PDFs. Hunting for hours each day. Hunting until their brains dribble out of their ears.

October 30, 2025

From Silos to Search: How SWIRL + M-Files Unlock Enterprise Knowledge Without Migration

Most organizations depend on M-Files to keep their knowledge structured, searchable, and secure. But as firms grow, so do their repositories — SharePoint, shared drives, CRMs, ticketing systems, databases, archives. The result? Time lost hunting for information that you know is ‘somewhere’ in your systems.

October 28, 2025

From Compliance to Contracts: How Federated AI Search Delivers Legal ROI

From compliance reporting to contract review, legal teams are drowning in fragmented data. Federated AI search bridges internal systems and external research platforms to deliver secure, real-time insights — no migration, no risk, just measurable legal ROI.

October 23, 2025

Search That Never Tires, Never Ages, Never Gets Bored—Unlike the Rest of Us

The trouble with life sciences isn’t a lack of information. It’s the shape of it. SOPs live in SharePoint folders no one’s touched in three years. Clinical protocols are buried in Veeva under five levels of permissions and a sign reading “Beware of the Leopard.” Adverse event documentation hides in PDF attachments, email threads, scanned forms. And regulatory updates? They trickle in from a dozen sources, never in sync, always just late enough to create risk.