Contact Center Management

A woman with curly hair and glasses writing on a tablet at a desk with plants in the background.

How to Optimize AI for Accuracy and Efficiency

AI is everywhere in the contact center right now. But in my conversations with customers, one question keeps coming up: what happens after you go live?

Sarika Prasad Director, Product Marketing

Hands typing on a laptop with AI graphics in the background.

Your AI Pilot Worked. Now What?

A lot of contact centers spent the last couple of years running AI pilots. Testing an AI agent here, a summarization tool there, maybe a guidance card rollout for a handful of agents. And a lot of those isolated pilots worked well enough to get leadership buy-in and show some early ROI.

But 2026 is a different conversation.

Sarika Prasad Director, Product Marketing

Two women collaborating at a desk; one wears a headset and the other points to a laptop screen.

5 Strategic Frameworks to Boost Contact Center Agent Productivity

Customers expect fast, connected, and consistent experiences. But in many contact centers, agents still navigate disconnected systems, repetitive tasks and constant pressure to move faster.

Here’s the reality:

Kenzie Fitzpatrick Content Strategist

Smiling man in a green shirt making a payment at a cafe counter.

AI Segmentation Mastery: Unifying Data to Outperform Every Time

You’re not short on data. You’re short on clarity. Customer signals are everywhere — website visits, past interactions, transaction history — even channel preferences. But when that data lives in silos, it doesn’t guide action. It creates noise.

And that noise shows up where it matters most: missed connections, low contact rates and revenue left on the table — directly impacting contact center revenue generation.

Subramanian T Director, Product Management

Subramanian is a seasoned product leader with over 18 years of experience in the contact center and collaboration space. He has led product strategy and innovation across Agent Experience and Data Cloud products, embedding AI-driven capabilities to transform customer engagement, improve agent productivity, and deliver measurable business outcomes. With deep expertise in building scalable platforms and AI-powered solutions, he is passionate about solving complex customer problems and mentoring teams to think beyond features and focus on business impact.

A man with glasses and a headset smiles while working at a computer, a woman sits nearby.

How Can AI Improve Contact Center Productivity?

“Let me just check that for you.” It’s the most common sentence in the contact center and a polite way of saying the answer exists somewhere, just not where it’s needed.

Kenzie Fitzpatrick Content Strategist

Two people closely examining a tablet, with colorful lights and another person in the background.

Building a Contact Center AI Roadmap: From Strategy to ROI

Most contact center AI strategies don’t fail because of technology.

They fail because teams start in the wrong place.

Kenzie Fitzpatrick Content Strategist

Hands typing on a laptop with digital AI icons overlaying the scene.

From Configuration to Adoption: AI Deployment Best Practices for Contact Centers

Getting AI into your contact center is no longer a question of if — it’s a matter of how. But the ROI of AI isn’t guaranteed. A rushed or poorly planned rollout can create more problems than it solves.

Sarika Prasad Director, Product Marketing

A woman with headphones focused on her work in a modern office setting.

The KPI Reality Check: Why Your Current Metrics Might Be Stalling Your AI Transformation

Hear me out: a lot of the metrics contact centers rely on today are useful, but they no longer tell the full story.

Willem Schouwstra Sr. Manager, Solution Architecture

A person pointing at a digital presentation with charts in a modern office setting.

Data, AI, and the Contact Center: Turning Insight into Real Business Growth

Customer expectations are shifting faster than many organizations can adapt. People expect brands to know who they are, understand their needs, and resolve issues without friction. At the same time, a powerful new intermediary is stepping between brands and their customers to reshape customer experience (CX): artificial intelligence (AI).

Kenzie Fitzpatrick Content Strategist

A man gestures while speaking in front of two large digital displays with colorful graphics.

Beyond the Buzzwords: A Data-Driven Framework for Contact Center AI Roadmaps

AI is everywhere.

Every vendor promises transformation. Every demo looks impressive. And yet, when it’s time to secure budget or prioritize initiatives, clarity often disappears.

I see this tension every day.

Contact center leaders know AI can drive efficiency, improve customer satisfaction and support agents. They know it can move the needle on customer experience. But how do you decide what to implement first? How do you prove the ROI? And how do you build a roadmap that resonates beyond your team — especially with the C-suite?

Adam Saad CTO and Founder, Tech Stack Advising

Adam Saad is the CTO and Founder at Tech Stack Advising. Tech Stack's mission is to help businesses generate better outcomes from contact center technology and maximize their investments.

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