Michael Martino Show

This isn’t just about technology. It’s about how residents, businesses, service providers, and employees interact with government across every channel—phone, web, email, chat, mobile apps, in-person, kiosks, partner portals—everything.    So, how do you align all those channels into a consistent, intentional experience? That’s where a Channel Experience Roadmap comes in.    Why Channel Planning Ma...

The current landscape   If you’ve ever worked with a worker’s compensation system — whether you’re a case manager, an employer, or a healthcare provider — you know it can be complex.    Paperwork. Phone calls. Forms that look like they haven’t been redesigned since the 1990s. And long waits for updates or approvals.    Over the past decade, many worker’s compensation boards have made large strides...

For most of the last century, healthcare was built around hospitals, clinics, and specialists. You got sick, you went somewhere, and someone took care of you.    But the future? It’s distributed. It’s digital. It’s everywhere.    We’re seeing the rise of virtual care, where patients can consult with doctors from home — and not just for colds or prescriptions. Mental health support, chronic disease...

Today we are going to talk about how governments deliver services, and what the future holds for those delivery channels.    We hear plenty about “digital government,” “online portals,” or “e-services,” but that only tells part of the story. Behind that is a complex ecosystem of channels—web, mobile, call centers, kiosks, in-person offices, even physical mail—and the big question is--how will that...

What we mean by “Digital Government 2.0”  “Digital government 2.0” isn’t just tech procurement. It’s a shift in how government works:  Citizen-centric design — services built around life events: birth, starting school, moving, starting a business, retirement  Shared platforms — identity, payments, notifications, document exchange that any department can plug into  Data as infrastructure — high-qua...

Why cross-functional teams matter  Let’s start with the “why.”    AI projects in government aren’t like rolling out a new app in Silicon Valley. A model that predicts traffic congestion, or flags fraudulent tax claims, or helps prioritize emergency services—these are high-stakes solutions.    If you only put data scientists in a room, you’ll get technically sound models, sure—but they may not alig...

In this episode, we’re going to explore:  Why citizen experience is now the north star for government transformation,  How AI is being used to improve accessibility, responsiveness, and trust, and  What agencies can do right now to start their AI journey responsibly.    The new expectation   Citizens today expect their government to be as responsive as their favorite app.     They want fast, accur...

The Changing Role of Contact Centre Agents  If we rewind 10 or 15 years, the job of a contact centre agent was often about following a script. You answered the call, read from the knowledge base, and handled routine requests.    Today, automation and AI have taken over those routine, repetitive interactions. Customers reset their passwords online. They get status updates through a bot. They pay bi...

For decades, it’s been human agents answering phones, handling emails, and more recently, chat messages. Over time, automation has played a bigger role—IVRs, chatbots, even self-service portals.    With generative AI and agentic AI, we’re seeing something much bigger. These systems aren’t just automating routine tasks—they’re becoming intelligent partners that can support agents in real time, anti...

Why an AI strategy matters in government  Citizens don’t wake up saying, “Today I’m going to experience government.”    They wake up needing something: renewing a driver’s license, applying for benefits, paying taxes, asking questions about permits. These aren’t just transactions—they’re moments that shape how people trust government.    The problem citizens have is many agencies have legacy syste...

Customer Experience Platforms  A CX platform is a technology foundation that allows organizations to manage, analyze, and optimize every interaction they have with their customers across multiple channels.    Think of it like a control tower for the customer journey. It doesn’t just answer a phone call or manage a chat session—it connects everything: email, voice, social media, mobile apps, websit...

Agentic AI is the next evolution—it’s not just about automation, it’s about intelligence, adaptability, and agency. It’s about creating government services that feel less like bureaucracy and more like a helpful guide, walking you through what you need, when you need it.    What do we mean by Agentic AI?  Traditional AI in government might look like a chatbot on a website that answers simple quest...

What do we mean by a frictionless?  Frictionless doesn’t mean invisible. It doesn’t mean people never interact with government. It means interactions are smooth, intuitive, and require as little effort as possible from the customer.    Think about ordering a ride through an app: one click, and everything else happens behind the scenes. Imagine if renewing your driver’s license felt that easy.    T...

What Is Customer Experience Management?   Customer experience management is the discipline of understanding, designing, and optimizing every interaction a customer has with your brand—across channels, over time.    It’s not just about having a call center or a website—it’s about orchestrating a journey that’s seamless, personalized, and responsive to the customer’s needs.  CXM includes three big c...

People don’t care about channels. They care about outcomes. They just want quick, accurate help—whether it’s on the phone, online, chat, AI self-service, or in person.    That’s where AI-powered omnichannel experiences come in.    What Does Omnichannel Actually Mean?  Omnichannel isn’t just about being available on lots of channels. It’s about seamlessly connecting those channels so the experience...

We’ve come a long way from static IVRs and robotic scripts. Now we’re staring down a future where AI doesn’t just respond—it anticipates, emotes, adapts, and collaborates.    What’s Next in AI: Proactive, Emotional, and Agentic  Let’s start with what’s coming around the corner.    We’re moving from reactive AI—responding to questions and routing calls—to proactive AI. Imagine a contact center that...

Today, we’re breaking down:  common mistakes organizations make when implementing AI  why so many AI pilots fail to scale  how to build a strong AI foundation from the start  what we can learn from those who’ve already stumbled.    Implementation mistakes  1. Bad Data:  AI is only as good as the data you feed it. If your data is outdated, incomplete, or inconsistent across systems, your AI is goin...

AI is reshaping how organizations serve their customers — from handling routine inquiries with chatbots to supporting agents with real-time prompts. But just because we can automate something doesn't mean we should — at least, not without asking tough questions first.    What’s ethical AI? It’s AI that respects the rights of customers, minimizes harm, and operates with accountability. In custo...

Personalization used to mean inserting someone’s name into an email subject line. Maybe a birthday discount. That was cute—for 2010. But today’s customers expect more.     At its core, AI turns data into insight. Every click, call, and conversation creates a trail of behavioral data. AI ingests that information—purchase history, browsing patterns, service inquiries, even tone of voice—and builds w...

One of the biggest misconceptions is AI is going to replace agents.     AI doesn’t replace agents—it supports them.    AI handles repetitive, low-value tasks like looking up data, summarizing past interactions, or suggesting knowledge articles. That frees up the human agent to do what they do best—use empathy, judgment, and creativity to solve real customer problems.    When AI handles the routine...

If you've ever slammed “zero” on your phone just to get past a robot or been stuck in a loop with a chatbot that keeps saying, “I didn’t get that,” this one’s for you. We’re going to take a look at how customer service automation has evolved—from those frustrating IVRs to today’s dynamic, intelligent virtual agents.    The Big Shift: From decision trees to dynamic AI  Old systems followed a sc...

In this series we will unpack the value, challenges, and future of AI in modern customer experience operations.     Today, we're kicking off the series with a critical episode in our Power of AI in the Contact Center series.    We’re talking about how artificial intelligence — once a flashy novelty — has evolved into a business necessity. We’ll look at what’s happening in contact centers right...

What are AI Agents   When people hear “AI agent,” they often think of those clunky, rules-based bots from a decade ago. You know — the ones that make you type “representative” five times before giving up and transferring you.    That’s not what we’re talking about.    Today’s AI agents are autonomous, adaptive, and context-aware. They can learn, make decisions, and take actions — just like a human...

Today, I want to talk about something that’s moving fast—the rise of AI agents.    Not just chatbots. Not just machine learning models that spit out answers. But agentic AI—autonomous systems that can take initiative, make decisions, and complete tasks on your behalf. These aren’t just tools. They’re becoming co-workers, collaborators, and in some cases—replacements.    From tools to agents  For t...

Welcome back to The Michael Martino Show    Today, I want to talk about something that’s become a hallmark of modern transformation program – working with multiple service integrators.    On paper, it makes sense. You bring in specialized vendors to focus on different layers of the tech stack. One’s great at infrastructure, another leads the cloud migration, a third owns user experience, and maybe...