Cloud Tech Gurus

You've never actually seen your whole contact center. Until now.

Genesys Cloud and Amazon Connect just went live on Peregrine Discover. Connect your org and it maps the entire environment automatically: every IVR, queue, routing flow, user, and integration, into one visual view.

The stuff nobody can see today:
→ IVR logic built by someone who left two years ago
→ Routing rules no one documented
→ Integrations that work until they don't

Discover finds all of it. No consultant engagement. No six-week discovery. And it's free, permanently. Not a trial, no credit card.

Run Genesys Cloud or Amazon Connect? You can map your environment today.

On Five9, NICE CXone, Avaya, Cisco, or Talkdesk? Join the waitlist now. Platforms onboard in signup order, and your position locks the moment you register. Sign up early and you move your whole platform up the list.

The 2-minute walkthrough is in the video. Then grab your spot.

If you inherited your contact center tomorrow, could you say what's actually running inside it?

Your biggest contact center cost never shows up on the P&L.

Call it the attrition tax.

A 1,000-seat operation at 40 percent attrition loses about 400 agents a year. At $10,000 to $20,000 to replace each one, that's $4M to $8M walking out the door. Quietly. Every year.

We dug into what the 2026 data actually says. A few things tend to stop people:

• 40 percent of all attrition happens in the first 90 days. It's a hiring problem before it's a retention problem.
• Only 9 percent of agents who can't quickly reach a supervisor are highly satisfied. Among those who can, it's 57 percent. One variable, a 6x swing.
• Top-quartile operators are 8x more likely to use AI on the floor, and they post 4.6x better CSAT.

The best teams now predict who will leave 30 to 90 days out, before the agent has decided. Early deployments are cutting attrition by more than half.

Full breakdown link in the comments.

What's driving attrition in your operation right now?

Your agents are losing deals on live phone calls.

When a customer raises a budget objection or asks a tough compliance question, agents usually have seconds to respond. Relying on memory or static cheat sheets often leads to missed opportunities and extended handle times.

One of our partner solutions solves this by providing instant in-call guidance.

The platform analyzes live audio and prompts recommended responses in under 0.4 seconds. It acts as a real-time copilot that guides agents through complex conversations while automatically scoring 100 percent of calls for quality assurance.

Real operational results include:
- 300 percent increase in agent sales per hour
- 67 percent reduction in new hire ramp time
- 83 percent decrease in total QA review time

You do not need more supervisors listening to recordings. You need real-time support where it matters most.

Drop a comment below or send a DM to explore this solution.

In your CCaaS, do you have a single view of every IVR, route, queue, user, and integration, so you can see how they connect before one of them breaks?

Could your team pull up every routing rule in your contact center right now?

Most can't. Here's the 60-second fix.

"We have AI."

Christa Heibel has walked into healthcare orgs that say exactly that - pointing to a speech analytics tool quietly recording calls in the background. Getting zero value from it. No use case, no one touching the data.

Having the tool isn't readiness. Readiness is boring: documented processes, clean workflows, knowledge management, and one clear use case before you spend a dollar.

If it doesn't improve the business, top line or bottom line, why are you buying it?

That's one moment from the full webinar, where Christa Heibel (CH Consulting Group), Kevin O'Brien (Authenticx), and Fred Stacey (Cloud Tech Gurus) also get into:

→ Where healthcare really sits on the AI curve (willingness is high — deployment is ~18%)
→ The tools actually in play: speech analytics, agent assist, AI agents
→ Why most AI projects fail — and it's rarely the technology
→ How to measure real ROI, hard and soft
→ Where patient experience is headed over the next 3–5 years

No demos. No pitch. Full conversation 👇
https://bit.ly/4wjw9Wm

Most contact center AI is bolted on, not built in.

Walk into most enterprise operations and it's the same picture. Routing in one system. Workforce management in another. Analytics somewhere else. A layer of AI stretched across the top, hoping it all connects.

It technically works. It just doesn't work well. Agents jump between tools, data sits in silos, and the AI only ever sees part of the picture.

One of our partners built the opposite. An AI-first platform where routing, workforce management, quality, analytics, and AI agents sit on a single foundation. The intelligence isn't an add-on. It's the ground floor.

But the platform is only half the story. What matters is what your operation actually needs. We're operators first, so we help you diagnose that, then point you to the right fit.
New video breaks down why built for AI beats bolted on. Where does your stack land?

6 a.m.: 60 calls. 7 a.m.: 90 calls. 8 a.m.: back to 30.

Your call volume swings 3x before lunch. Your shift schedule doesn't move at all.
So you make the bet every contact center makes: overstaff and torch labor, or understaff and torch your CX. There's no version where you win.

Jon Brown (SVP Client Results at LiveOps) has spent 25 years killing that tradeoff. On the new episode:

→ Staffing to the exact call count every 30 minutes — not the peak, not a forecast
→ Volume spikes? Trained agents on the phones in minutes, not hours
→ Why your best talent chooses gig work — and why that shows up in your NPS
→ The receipts: 25–30% lower cost, higher upsell, and the COVID surge they scaled to thousands of agents in 72 hours

The model that fixes the demand curve → https://bit.ly/4aN5Sag

Full episode drops Thursday, July 16. This is the preview.