The Tech Matchmaker

Think Forward - Gina Gibson

The Tech Matchmaker Podcast is your go-to show for discovering the latest breakthroughs transforming the contact center industry. Hosted by Gina Gibson of Think Forward, each fast-paced, ten-minute episode spotlights the smartest, most innovative solutions designed to tackle real-world contact center challenges. Whether you’re a tech leader searching for your next CCaaS solution, a decision-maker eager to stay ahead of the curve, or simply passionate about the future of customer experience, this podcast delivers the insights you need to keep your business moving forward. Tune in for engaging interviews with industry trailblazers, inspiring client success stories, and practical tips to help your organization thrive in a rapidly evolving landscape. Join us as we match today’s contact center challenges with tomorrow’s technology — and have some fun along the way! Subscribe now and never miss an episode as we explore what’s next in CCaaS innovation

  1. -3 j

    AI Token Costs, Agent Sprawl & Enterprise AI Strategy | Krista

    YouTube Description  The Tech Matchmaker Podcast welcomes back Aaron Symbolik, AI Orchestration Consultant at Krista, for his second appearance with host Gina Gibson. A year has passed since his last visit, and this episode is a full check-in on how Krista's platform, and Aaron's view of AI strategy, has evolved.  The conversation covers three things nearly every company is dealing with right now, whether they realize it or not: uncontrolled token spend, security gaps caused by unmanaged AI agents, and the temptation to chase big AI use cases before doing the foundational work. Aaron lays out a practical alternative, starting with what he calls the enterprise brain and moving into how Krista governs AI costs and access before problems compound. He also explains how Krista's document understanding agent handles unstructured data more reliably than traditional OCR, why building workflows in natural language removes the need for a developer, and shares two client examples, a security company and a utility company, where this approach solved very different operational problems.  In this episode:  ✅ What the "enterprise brain" is and why it's the right place to start an AI strategy  ✅ How LLM access governance gives companies visibility and control over token spend  ✅ The security risk behind unmanaged AI agents, known as agent sprawl  ✅ How Krista's document understanding agent goes beyond traditional OCR  ✅ Why natural language workflow building removes the need for a developer  ✅ Two real client examples, in security and utilities  ✅ Who Krista is the best fit for today  ⏱️ Timestamps (approximate, final times may shift slightly after edit)  0:00 – Welcome back, Aaron  0:31 – A refresher on what Krista does  1:27 – The elevator pitch and the core problems Krista solves  3:22 – Token expense management, the number one issue right now  9:22 – Deterministic logic versus probabilistic AI  10:08 – Security concerns and agent guardrails  11:50 – The document understanding agent explained  14:08 – What sets Krista apart from other platforms  16:32 – The ideal Krista customer profile  17:49 – Client examples: security and utilities  20:07 – Rapid fire with Aaron  📎 Follow us on LinkedIn for insights and updates https://www.linkedin.com/company/the-tech-matchmaker-podcast/  📺 Subscribe on YouTube: youtube.com/@ThinkForwardLLC  🎧 Listen and subscribe on Apple Podcasts: bit.ly/3ScRty0  🎶 Never miss an episode on Spotify: bit.ly/4wyEBAc  📩 Want to learn more? Reach out to Gina Gibson at info@thnkforward.com  #AgenticAI #AIOrchestration #EnterpriseAI #AICostManagement #LLMGovernance #AIStrategy #NoCodeAutomation #CXTech #AgentSprawl #AIGovernance #WorkflowAutomation #EnterpriseAutomation #AISecurity #IntelligentAutomation #AIatScale #DocumentAutomation #ProcessAutomation #B2BTech #EnterpriseTech #DigitalTransformation #GinaGibson #TechMatchmaker  Music licensed through Soundstripe.  Code: MXT7NGEZ0KCSEIJY

  2. Bande-annonce de l’épisode 15, saison 2

    Are Your AI Token Costs Out of Control? | Krista

    LinkedIn Teaser (pre-launch)  🎙️ New Episode Dropping Soon!  Quick question: do you actually know what your company is spending on AI tokens right now? Most leaders don't, until the bill doubles overnight and nobody can explain why.  Gina Gibson sat down with a familiar face this week: Aaron Symbolik, AI Orchestration Consultant at Krista, back on the show one year after his first appearance. A lot has changed at Krista since then, and Aaron came back with a much sharper answer to a question every company is quietly wrestling with: what does a mature AI strategy actually look like, and where do you even start?  His answer isn't another flashy use case. It's building what he calls the enterprise brain first, then getting real visibility into AI spend before it spirals, then locking down the security gaps most companies don't even know they have. He even brings up a recent incident where an AI agent duplicated itself and slipped into another software application entirely, the kind of thing that keeps security teams up at night.  Here's a preview of what we're covering:  🧠 The "enterprise brain" concept, and why it should come before any flashy AI use case  💸 Where token costs actually go, and how to stop losing money once you hit critical mass  🔐 Agent sprawl, the security blind spot most companies don't know they have yet, and a real example of an AI agent going rogue  🗣️ Building automations by just describing what you need in plain language, no coding required  🔌 How Krista connects directly into tools like Salesforce, Zendesk, and Jira  🏢 Two client stories, one in security and one in utilities, that show all of this playing out in the real world  If AI spend, AI security, or AI strategy in general has been on your radar lately, block off ten minutes for this one. It's worth it.  📅 Episode drops 8/27  📺 Subscribe on YouTube: https://lnkd.in/gyxEhstb  🎧 Listen and subscribe on Apple Podcasts: bit.ly/3ScRty0  🎶 Never miss an episode on Spotify: bit.ly/4wyEBAc  📩 Want to learn more? Reach out to Gina Gibson at info@thnkforward.com  #TechMatchmaker #GinaGibson #ThinkForward #Krista #AgenticAI #AIOrchestration #EnterpriseAI #TokenManagement #AICostManagement #LLMGovernance #AIStrategy #NoCodeAutomation #AgentSprawl #AIGovernance #WorkflowAutomation #EnterpriseAutomation #AISecurity #IntelligentAutomation #AIatScale #Season2

  3. 20 août

    Vintel AI: Real-Time Intent Data That Beats Static Lists

    Ulysses Alvarado spent decades in marketing and media before he ever touched tech, starting at IBM and later building his own advertising agency. Watching clients burn through stale, resold contact lists is what led him to found Vintel AI, a real time, high intent consumer intelligence platform.  Today, Vintel AI monitors tens of billions of behavioral signals across tens of millions of websites, expanding toward one hundred million, to identify people and businesses actively searching for a product or service right now. Once their AI confirms real intent through a thirty point check, it matches that anonymous signal to a full identity, all without listening to or following anyone.  In this episode, Ulysses joins Gina Gibson to break down how the identity graph actually works, why real time intent beats static or predictive data, and the exact onboarding sequence that's helping clients see results in days instead of months.  What you'll learn:  🧩 How everyday moments, like connecting to free airport wifi, opt you into the identity graph that powers this kind of targeting  🔍 The difference between being "listened to" and being served by compliant, signal based intent data  📊 Why Vintel AI's ideal customer profile spans nearly every B2B and B2C industry  📈 The client story behind a three to four day accuracy confirmation and a booking surge that followed  📩 The recommended sequence before a single cold call: email, then certified text, then digital, then the phone  🤖 How Ulysses keeps Vintel AI ahead of a market that shifts every few months, and the one hire that makes it possible  🎁 A first of its kind offer for Tech Matchmaker listeners: a free consultation and 1000 data profiles at no charge  🎤 A rapid fire round covering silence on the road, a barking dog at 3am, and a future in photography  📣 Exclusive offer: Schedule your free in market preview with Vintel AI and receive 1000 data profiles at no cost.  Timestamps:  00:00 Welcome to The Tech Matchmaker, introducing Ulysses Alvarado and Vintel AI  00:34 The Vintel AI elevator pitch  01:22 From IBM to marketing to founding Vintel AI  02:51 Sixty billion signals, eighty million websites, and the scary coincidence of instant retargeting  03:31 How the identity graph works, and why it's compliant by design  06:38 Who Vintel AI serves, and a client success story from the contact center space  07:35 Why the ideal customer profile is B2B and B2C, and how that differs from competitors  09:49 The onboarding playbook: email, text, digital, then the call  13:34 Staying ahead in a fast moving AI market  16:43 A first of its kind offer for our listeners  17:51 Rapid fire round  18:55 Closing thoughts  📎 Follow The Tech Matchmaker on LinkedIn: linkedin.com/company/the-tech-matchmaker-podcast/  📺 Subscribe on YouTube: youtube.com/@ThinkForwardLLC  🎧 Listen and subscribe on Apple Podcasts: bit.ly/3ScRty0  🎶 Never miss an episode on Spotify: bit.ly/4wyEBAc  📩 Want to learn more? Reach out to Gina Gibson at info@thnkforward.com  Music licensed through Soundstripe.  Code: MXT7NGEZ0KCSEIJY

  4. Bande-annonce de l’épisode 12, saison 2

    Most AI Voice Agents Sound Great… Until They Don’t

    🎙️ New Episode Dropping Soon!  You mention something to your spouse at dinner, and thirty seconds later an ad for it shows up on your phone. It feels invasive. It's actually not how the best intent data works, and that distinction is the whole business.  In the upcoming episode of The Tech Matchmaker, Gina Gibson sits down with Ulysses Alvarado, Founder and CEO of Vintel AI, to talk about how real time consumer intent data is changing the way B2B and B2C companies find their next customer.  Here's what we're diving into:  🔍 How Vintel AI tracks tens of billions of behavioral signals across tens of millions of websites without listening to or following anyone  🧩 The identity graph, and how anonymous browsing signals get matched to a real, high intent buyer  📈 Why one contact center software company booked more meetings in three days than they had in a month with their previous list provider  📩 The multi channel sequence Vintel AI recommends before a single cold call ever happens  🎁 A limited time offer Ulysses is making available exclusively to Tech Matchmaker listeners  If you're looking for a smarter way to find buyers who are actually ready, this one is worth your time.  📅 Episode drops 8/20  📎 Follow us here on LinkedIn for insights and updates  📺 Subscribe on YouTube: youtube.com/@ThinkForwardLLC  📩 Want to learn more? Reach out to Gina Gibson at info@thnkforward.com  #TechMatchmaker #GinaGibson #ThinkForward #VintelAI #IntentData #LeadGeneration #MarTech #SalesIntelligence  #B2BMarketing #B2CMarketing #ArtificialIntelligence #ConsumerIntelligence #DigitalMarketing #RevenueGrowth #GrowthMarketing #Season2

  5. 12 août

    Why Most AI Voice Agents Fail in Production | Simple AI

    Most AI voice agents sound fine on a demo and fall apart in production. Cat Li, CEO and Founder of Simple AI, joins Gina Gibson on The Tech Matchmaker to explain why, and what her team does differently.  Before founding Simple AI, Cat studied computer science and math at MIT, built backend systems for Facebook Newsfeed and Instagram Stories, and led engineering and product at Y Combinator, where she met her co-founder and got an early look at the technology that became the modern AI boom. Today, Simple AI builds voice and conversational agents for B2C companies handling high volumes of customer interactions across phone, email, SMS, and web chat, along with automated quality monitoring and agent assist.  In this episode, Cat and Gina get into why so many AI voice deployments underdeliver, what Simple AI does instead, and the real story behind a 10 day deployment for a hundred year old direct to consumer brand.  What you'll learn:  🧠 How Simple AI studies your best performing human reps to identify exactly what they do differently, then trains its AI on those patterns instead of a generic script  📉 The two biggest mistakes buyers make when evaluating AI voice vendors, and why the cheapest option usually costs more in lost retention and CSAT  💰 Why sales leaders care about upsell and conversion, not just cost cutting, and how Simple AI's agents are outperforming trained live reps  🔁 How real time A/B testing on voice, accent, and upsell copy replaced rollout cycles that used to take months  🥩 The full story behind a 10 day deployment for a hundred year old direct to consumer brand, and what had to happen in parallel to make that timeline possible  🔒 How Simple AI approaches HIPAA, SOC 2 Type II, and PCI compliance for enterprise and payment focused clients  🎯 The "customer brain" behind Simple AI, and how details customers share on a call are quietly powering proactive, personalized selling  🎤 A rapid fire round covering piano, off tune singing, and Cat's secret life in an a cappella group  Timestamps:  00:00 Welcome to The Tech Matchmaker, introducing Cat Li and Simple AI  00:28 Cat's background: MIT, Facebook Newsfeed, Instagram Stories, and Y Combinator  01:41 Meeting her co-founder and the early days of the AI boom  03:15 The Simple AI elevator pitch  04:05 Where AI voice deployments go wrong, and what buyers miss  07:16 Why Simple AI's agents outperform trained live sales reps  09:33 Flipping the problem: training AI on your best reps instead of fixing your worst  10:38 Real time A/B testing on voice, accent, and upsell copy  10:47 The 10 day deployment story for a hundred year old direct to consumer brand  13:24 Security and compliance: HIPAA, SOC 2 Type II, and PCI  14:15 What's next for Simple AI, including natural conversation handling  16:44 The "customer brain" and proactive, personalized selling  17:50 A jewelry brand's most heartwarming personalization story  18:10 Rapid fire round  19:00 How to reach Cat and the Simple AI team  📎 Follow The Tech Matchmaker on LinkedIn: linkedin.com/company/the-tech-matchmaker-podcast/  📺 Subscribe to our YouTube channel: youtube.com/@ThinkForwardLLC  📩 Want to learn more? Reach out to Gina Gibson at info@thnkforward.com  Music licensed through Soundstripe.  Code: FD9RDJTPQJHCUHGI

  6. 7 août

    How Sanas Is Changing Contact Centers With Accent AI

    Tiffany O'Malley from Sanas is back on The Tech Matchmaker, and this time she brought her team with her. In this episode, Gina Gibson sits down with Tiffany for a full live demo across three continents, with agents in India, Cameroon and the Philippines showing Sanas' technology in action, not just talking about it. The conversation covers what's changed since Tiffany's last appearance, the real world results customers are seeing, and a first look at Sanas' newest product, Speech Intelligence. It closes with what the recent Tomato.ai acquisition means for Sanas' move into telco. What you'll see in this episode: ✅ A live accent translation demo, with the noise cancelled in real time ✅ Universal accent translation, now working in both directions and in any region ✅ A hotel chain's $40 per call revenue lift after a two week pilot ✅ How United Healthcare used Sanas to bring outsourced work back to India without losing quality ✅ A live language translation demo, English to French, at a fraction of the cost of a language line ✅ A live before and after of Sanas' speech enhancement tool ✅ An introduction to Speech Intelligence, Sanas' new on device tool for real time insights and PII redaction ✅ What the Tomato.ai acquisition means for Sanas' expansion into telco ✅ Sanas Translate, the free app anyone can use Timestamps: 00:00 Welcome back, Tiffany O'Malley 00:25 Meet the global Sanas team: Asha, Cathy and Luzielle 01:19 What is Sanas in a nutshell 03:26 Live demo: accent translation with Asha 05:56 What's new: universal accent translation 07:45 Real results: revenue per call and reduced outsourcing risk 09:51 Live demo: language translation with Cathy 13:17 Latency and cost breakdown 14:11 Live demo: speech enhancement with Luzielle 17:31 Introducing Speech Intelligence 20:14 The Tomato.ai acquisition and what it means for telco 21:20 What's next for Sanas 22:27 Sanas Translate, the free app for anyone #GinaGibson #TechMatchmaker #ThinkForward #Sanas #CCaaS #ContactCenter #ContactCenterAI #ContactCenterTechnology #CustomerExperience #CXInnovation #SpeechAI #AccentTranslation #SpeechEnhancement #SpeechIntelligence #LanguageTranslation #VoiceTechnology #VoiceAI #NoiseCancellation #RealTimeAI #EnterpriseAI #BPO #BPOIndustry #Outsourcing #OutsourcingStrategy #GlobalWorkforce #WorkforceTechnology #RemoteWork #DigitalTransformation #Multilingual #PIIRedaction #TelcoInnovation #CCWVegas #VendorMatchmaking #CustomerServiceTechnology #CXLeaders #FutureOfCX #Innovation #SaaS #TechPodcast #BusinessPodcast Music licensed through Soundstripe. Code: ZIQ2FFH3UCXYDIIA

  7. 7 août

    Journeyfront: How to Spot Hiring Fraud Before Day One

    What if the biggest risk in your hiring process isn't a bad interview, it's a candidate who isn't even who they say they are? In this episode of The Tech Matchmaker Podcast, host Gina Gibson talks with Daniel Ash, CEO and Co Founder of Journeyfront, the intelligent hiring platform built for BPOs and contact centers. Daniel's path to solving this problem started long before Journeyfront existed, watching his father move through nearly a dozen careers in search of one that actually fit. That idea, job fit as something measurable, became the foundation for a platform now used across the BPO industry to hire faster, reduce fraud, and predict which candidates will actually stay and perform. Daniel breaks down how Journeyfront's real time fraud detection catches IP address mismatches, sudden location changes, VPN use, and professional test takers before they ever reach day one. He also explains how a machine learning algorithm built nearly 10 years ago, long before generative AI, ties pre hire assessments directly to post hire retention and performance, giving hiring teams a genuine feedback loop instead of a guess. ✅ → 🔍 How up to 25% of an applicant funnel can be fraudulent, and what Journeyfront tracks to catch it 💰 The real dollar cost of a bad hire in high volume contact centers 📊 How pre hire scoring connects to post hire performance and retention ⚙️ What separates Journeyfront from a standard applicant tracking system 🏆 Two client success stories, including a 100%+ turnover turnaround 🤖 The 13 agentic AI solutions Journeyfront is building next 📖 A brand new book, launched at CCW Vegas, written just for BPO hiring teams ⏱️ TIMESTAMPS 00:00 Welcome and introduction 00:20 Daniel's background and the origin of Journeyfront 02:32 What is Journeyfront? The elevator pitch 04:03 The true cost of a bad hire in contact centers 05:10 Hiring fraud: how common it really is 08:24 Pre hire scoring and predicting retention and performance 11:19 What sets Journeyfront apart 13:25 Client success stories 16:15 What's next: agentic AI and the future of hiring 17:36 Daniel's new book, The BPO Hiring Playbook 18:43 Rapid fire questions 20:30 How to connect with Journeyfront 📎 Follow The Tech Matchmaker on LinkedIn: linkedin.com/company/the-tech-matchmaker-podcast/ 📺 Subscribe on YouTube: youtube.com/@ThinkForwardLLC 📩 Questions? Reach out to Gina at info@thnkforward.com 🌐 Learn more about Journeyfront: journeyfront.com #TechMatchmaker #GinaGibson #ThinkForward #Journeyfront #BPO #ContactCenter #HiringTechnology #HRTech #CCaaS #TalentAcquisition #WorkforceManagement #HiringFraud #AIinHiring #CustomerExperience #PodcastForBusiness #RecruitmentTech #PreHireAssessment #FutureOfWork #Recruiting #BPOIndustry #ContactCenterLeaders #CXTech #PeopleAnalytics #HRLeaders Music licensed through Soundstripe. Code: OZFZ97LHLX2ANIQ0

  8. 7 août

    How XEBO.ai Handles 20x More Complaints With AI

    Anand Nigam, Co-Founder and Partner at XEBO.ai, joins Gina Gibson on The Tech Matchmaker Podcast to talk about building an AI native experience platform that's helping organizations rethink how they listen to customers, and how it's holding its own in Gartner's Magic Quadrant for Voice of the Customer Platforms. In this episode, Anand shares: 🤖 How XEBO.ai trains its AI on a client's own historical complaint responses so it can answer customers in real time 📈 How one complaint management team of 12 agents now handles 20 times their original volume with no added headcount 🏆 XEBO.ai's recognition in Gartner's Magic Quadrant for Voice of the Customer Platforms in both 2025 and 2026 ✈️ The story behind a 15 day custom feature build for a global airline that turned into a three year partnership 💡 The two things Anand believes actually separate a platform that gets used from one that doesn't: simplicity and price 🔮 Why the future of Voice of the Customer means going beyond surveys into omnichannel listening and predictive churn Timestamps: 0:00 Welcome and introduction 0:23 Anand's background and the founding of XEBO.ai 2:43 Elevator pitch and platform overview 3:41 Gartner Magic Quadrant recognition and platform origins 5:55 How AI is changing complaint management 8:45 Differentiators: simplicity and cost 11:10 Emerging trends: omnichannel listening and predictive churn 14:43 Ideal customer and industries served 18:02 Client success story: the global airline partnership 21:38 What's next for XEBO.ai 22:04 Rapid fire questions 23:07 Where to learn more and closing 📎 Follow us here on LinkedIn for insights and updates 📺 Subscribe on YouTube: youtube.com/@ThinkForwardLLC 📩 Want to learn more? Reach out to Gina Gibson at info@thnkforward.com #TechMatchmaker #GinaGibson #ThinkForward #XEBOai #VoiceOfTheCustomer #CX #AIinCX #GartnerMagicQuadrant #CustomerExperience #CXPlatform #ExperienceManagement #AIinnovation #ContactCenterTech #Season2 #TechPodcast #CustomerInsights #CXLeaders #DigitalTransformation #CustomerFeedback #AIplatform #VOC #CXstrategy #EmployeeExperience #ExperienceEconomy #TechLeaders #CXInnovation #AIforBusiness #CustomerJourney #DataDrivenCX #FutureOfCX #ContactCenterAI

Bande-annonce

À propos

The Tech Matchmaker Podcast is your go-to show for discovering the latest breakthroughs transforming the contact center industry. Hosted by Gina Gibson of Think Forward, each fast-paced, ten-minute episode spotlights the smartest, most innovative solutions designed to tackle real-world contact center challenges. Whether you’re a tech leader searching for your next CCaaS solution, a decision-maker eager to stay ahead of the curve, or simply passionate about the future of customer experience, this podcast delivers the insights you need to keep your business moving forward. Tune in for engaging interviews with industry trailblazers, inspiring client success stories, and practical tips to help your organization thrive in a rapidly evolving landscape. Join us as we match today’s contact center challenges with tomorrow’s technology — and have some fun along the way! Subscribe now and never miss an episode as we explore what’s next in CCaaS innovation