Netfor

08/31/2026

80% of AI projects fail in year one. Spoiler: it's rarely the AI's fault.
It's usually the knowledge base nobody's updated since 2023, or the one process that only lives in your IT guys head (you know the one).

Episode 4 is live, and our new AI Readiness Assessment scores 7 things before you spend a dollar on tools:
📚 Knowledge
📊 Data
🔁 Process
🧠 Intelligence
🔌 Integrations
👥 Team
🛡️ Governance

Netfor CTO David Cady breaks down all seven, and yes, knowledge and data are doing most of the heavy lifting.

Full episode: https://hubs.la/Q04ssH5V0

Everyone's under pressure to deploy AI. Almost nobody has an honest...

08/28/2026

Data centers…in space? 🚀

It sounds futuristic, but David has a few questions about the logistics. And if space doesn’t work, what about deep in the ocean?

Episode 2 takes a quick detour from voice AI to explore where data centers could go next, and why we’re probably not ready for either option just yet.

🎙️ Check out the clip.

08/24/2026

Which generation is most accepting of AI?

Ian expected younger generations. David says it may actually be the opposite.

From Baby Boomers to Gen Z, attitudes toward AI might not be what you’d expect.

🎙️ Hear their take in Episode 2 of the podcast.

08/20/2026

A wifi installation that holds up under real business traffic doesn't start with mounting equipment. It starts with understanding the space itself: the walls, the layout, how many devices will actually connect, and where signal is going to struggle.

Only after that groundwork is done does the physical install happen, followed by testing every connection to confirm it actually performs the way it's supposed to.

Skip any of that, and you find out the hard way, usually a few months in.

08/18/2026

What does AI actually look like when applied to real customer workflows?
Netfor’s BI and Development teams are building around workflow-heavy environments like orthopedic and specialty clinics, mapping AI to the processes clients already rely on.

The goal isn’t to reinvent the workflow. It’s to add capacity, then measure and improve performance through the same QA standards used for human agents.

🎙️ More from Episode 2 of the podcast.

08/17/2026

Copper phone lines aren't just old office phones. They're still running critical infrastructure most people forget about.

Fire alarm panels. Elevator emergency phones. Security dialers. POS payment backups. Fax lines. All of it still depends on a technology carriers are actively retiring.

The catch: not every replacement works for every device. Fire panels and elevator phones need a certified cellular gateway, not standard VoIP, because VoIP compression can scramble the exact signal these systems rely on. Get the swap wrong and a system can fail without any visible warning.

We put together a breakdown of what's still running on POTS and what actually replaces it correctly, device by device.

08/14/2026

Most support breakdowns happen at intake, before an agent's even involved.

Netfor's AI intake process:
→ Answers instantly, no queue, no hold time
→ Triages by urgency, not who called first
→ Escalates to a human with full context, no re-explaining

AI routing accuracy: 89-96%. Manual routing: 60-70%.

Same people. Smarter front door.

08/13/2026

70% of voice AI implementations fail within the first year.

One major reason? AI can’t rely on tribal knowledge like a human call center agent can.

Without the right knowledge, guardrails, and a clear path to a human, AI can quickly create a bad customer experience.

🎙️ David Cady breaks down why in Episode 2 of the podcast.

08/12/2026

Plot twist: sometimes the best consulting advice we give is "don't buy this yet."

Podcast Episode 4 is here, and we just launched our AI Readiness Assessment. Netfor CTO David Cady breaks down why an honest "you're not ready" beats an expensive "sure, why not" every time.

7 categories. One working session. Zero sales pitch disguised as a scorecard.

Your boss is going to ask about AI eventually. Get ahead of it 👇
Watch: https://hubs.la/Q04ssDRG0

Everyone's under pressure to deploy AI. Almost nobody has an honest...

08/11/2026

Most people picture a chatbot when they hear "AI customer service," and that's exactly the wrong image.

It's not a script that pretends to be human. It's a layer built to catch the repetitive stuff before it ever reaches your team, so the people you have can focus on what actually needs a person.

Here's how it works, in plain terms:
• Listens to what the customer needs
• Sorts it by urgency and type
• Solves it on the spot, or hands it off with full context

Same playbook whether they call, text, chat, or email. Not a replacement. A teammate that handles the boring part first 🦾

Take a deeper dive here:

Learn what AI customer service is, how it works in real businesses, and how to tell if your operation is ready to use it without replacing your team.