AI Voice bot

Dave

Navigate the evolving landscape of voice technology and AI-powered bots with The AI Voice Bot Podcast. Creative by Dave, a seasoned voice and AI veteran, this podcast uncovers practical applications, expert knowledge, and cutting-edge trends in voice automation. If you're looking to build, implement, or simply understand the power of voice bots, this podcast will keep you informed and ahead of the curve. 📣 Get in Touch Got a question about voice bots? Want to collaborate or see how they can work for your business? I’d love to connect. 🌐 Website: ai-voice.ai📞 Book a Call: Schedule a 30-min chat🔗 LinkedIn: Dave💬 Text "Just ask Dave"

  1. 31 JAN

    Ai Agent that has a memaory

    "Just ask Dave send him a text" This episode explores one of the most important shifts happening in artificial intelligence right now: the move from AI systems we talk to toward autonomous AI agents that actually do work. Using a small open-source project (formerly known as Clawd.bot) as the lens, the discussion unpacks why long-term memory, proactive behaviour, and task execution mark a fundamental break from traditional chatbots. Unlike typical AI tools that respond and forget, this new class of agents can remember context, operate inside everyday messaging apps, trigger workflows, manage emails and calendars, and take initiative without constant prompting. Crucially, the episode highlights the trade-offs. Self-hosted AI agents offer control, privacy, and flexibility — but they also introduce real responsibility. Granting an AI access to files, emails, and system permissions raises serious security and governance questions, which is why these tools currently appeal more to developers and technical users than mainstream businesses. Rather than a finished product, this project is framed as a signal: a glimpse of where AI is heading. The conversation draws parallels to the early days of personal computing — powerful, enthusiast-driven, and not yet user-friendly — and suggests we are still in the “command-line era” of AI agents. The key takeaway is clear:  the future of AI isn’t about better conversations — it’s about systems that operate quietly in the background, execute workflows, and deliver real outcomes. AI is evolving from something you chat with into something that actually gets things done. 📣 Get in Touch Got a question about voice bots? Want to collaborate or see how they can work for your business? I’d love to connect. 🌐 Website: ai-voice.ai📞 Book a Call: Schedule a 30-min chat🔗 LinkedIn: Dave••💬 Text "Just ask Dave"

    5 min

  2. 23 JAN

    AI Vibes Syndrome

    "Just ask Dave send him a text" This episode of the AI Voice Bot Podcast takes aim at a big, uncomfortable truth: companies are pouring billions into AI but often have no idea whether it’s actually delivering value. The core argument is simple and blunt — AI should be measured like labour, not magic. Businesses would never hire a sales team without tracking cost per sale, conversion rates, or ROI, yet many deploy AI systems and judge success on vanity metrics like conversation volume or “engagement.” The episode breaks down why this happens: AI often sits in organisational limbo, with no clear owner.Dashboards focus on activity, not outcomes.“Cheaper than humans” is the wrong benchmark — cost per outcome is what matters.Using voice AI as a sharp example, the discussion highlights the real risks of getting this wrong: lost leads, damaged trust, compliance issues, and hidden costs such as integration, maintenance, and monitoring. Cheap or “free” AI can end up being very expensive. The solution is straightforward but rarely applied: Track real business metrics (cost per lead, booking, resolution, revenue influenced).Account for full costs, not just licensing.Assign clear ownership and governance.Define acceptable performance thresholds — and be willing to switch systems off if they don’t perform.The takeaway is clear: the experimental phase of AI is over. AI isn’t free, it isn’t magic, and it shouldn’t be exempt from commercial accountability. If we wouldn’t tolerate a human team operating without performance metrics, we shouldn’t accept it from AI either. 📣 Get in Touch Got a question about voice bots? Want to collaborate or see how they can work for your business? I’d love to connect. 🌐 Website: ai-voice.ai📞 Book a Call: Schedule a 30-min chat🔗 LinkedIn: Dave••💬 Text "Just ask Dave"

    6 min

  3. 19 JAN

    How AI Predicts Customer Churn Before It Happens

    "Just ask Dave send him a text" Most businesses don’t realise a customer is leaving until months after the early warning signs have already started. The podcast dives into how AI voice bots completely flip that script by detecting subtle behavioural shifts long before churn shows up on any report. AI essentially acts like emotional intelligence at scale. It hears the things humans miss — shorter conversations, tone changes, hesitation, longer pauses, and even complete silence. And silence is the big one: customers often go quiet 30–90 days before they churn, and that drop in engagement is one of the strongest predictors of an upcoming exit. These bots don’t just analyse what customers say; they analyse how they say it. They track patterns across thousands of calls, spotting trigger phrases (“again,” “still not working”), repeated complaints, shorter call duration, reduced frequency, and the classic slow fade-out where a loyal weekly caller suddenly becomes a monthly one. The real power comes from pattern recognition. When lots of customers show the same behavioural dip at the same time, AI can detect broader issues — from a broken feature to competitor pressure — long before a human team would notice. And it’s not just detection. These systems trigger proactive interventions: retention calls, personalised messages, solutions before the customer asks. It shifts customer service from reactive to truly proactive. The big takeaway?  AI isn’t making customer relationships less human — it’s making them more attentive. By catching the early signs people naturally miss, businesses can prevent churn before customers slip away, turning potential breakups into stronger relationships. 📣 Get in Touch Got a question about voice bots? Want to collaborate or see how they can work for your business? I’d love to connect. 🌐 Website: ai-voice.ai📞 Book a Call: Schedule a 30-min chat🔗 LinkedIn: Dave••💬 Text "Just ask Dave"

    6 min

  4. 8 JAN

    the Ratchet Effect

    "Just ask Dave send him a text" Podcast Summary – The Ratchet Effect in AI Voice Bots In this episode of the AI Voice Bot Podcast, Dave explores one of the biggest hidden risks in AI voice technology: the ratchet effect — where AI systems repeat and reinforce the same mistakes over time without correction. The discussion unpacks how voice bots often misinterpret silence or quick agreement as positive feedback, causing flawed behaviour to become entrenched. With studies showing bots can repeat critical errors hundreds of times before detection, the episode highlights why traditional success metrics like call handling time are dangerously incomplete. Key insights include: Why voice bots are especially vulnerable to reinforcing bad behaviourHow oversimplified metrics and constant learning amplify errorsThe role of segmented learning, human oversight, and “scheduled friction” in reducing riskWhy bots that admit uncertainty build significantly more user trustHow strong governance and guardrails reduce AI incidents by more than halfThe takeaway is clear: successful AI isn’t about smarter algorithms alone — it’s about humility, transparency, and human-centred control. The best AI systems aren’t perfect; they’re designed to recognise mistakes and improve safely. Powered by ib2.  Got a question or topic you want covered next? Just ask Dave. 📣 Get in Touch Got a question about voice bots? Want to collaborate or see how they can work for your business? I’d love to connect. 🌐 Website: ai-voice.ai📞 Book a Call: Schedule a 30-min chat🔗 LinkedIn: Dave••💬 Text "Just ask Dave"

    5 min

  5. 18/12/2025

    The hard truth

    "Just ask Dave send him a text" Most AI voice bot projects don’t fail because the tech is bad — they fail because people are ignored. This episode breaks down why 72% of AI implementations collapse, even when the technology works perfectly. The real killer is human psychology: fear of job loss, lack of trust, and being excluded from decisions. Employees don’t usually revolt loudly — they resist quietly, through workarounds, avoidance, and gaming the system. The companies that win do three things differently: They involve staff early in identifying real problems (not tech design).They position AI as a teammate, not a replacement.They start small — one workflow, one win, then scale.The data is blunt: AI adoption is 3.5x higher when this approach is usedProductivity drops 23% when AI metrics are used punitivelySuccessful companies spend ~60% of their AI budget on people, not techBottom line:  AI voice bots succeed when treated as a change-management project first and a **technology project second. 📣 Get in Touch Got a question about voice bots? Want to collaborate or see how they can work for your business? I’d love to connect. 🌐 Website: ai-voice.ai📞 Book a Call: Schedule a 30-min chat🔗 LinkedIn: Dave••💬 Text "Just ask Dave"

    6 min

  6. 07/12/2025

    The Rise of the Micro-Bot Model

    "Just ask Dave send him a text" This episode dives into the major shift happening in AI: moving away from giant, do-everything systems and towards networks of small, specialised micro-bots. Dave explains how this new architecture mirrors how effective organisations actually work — no single “employee” does every job, and AI shouldn’t either. Specialised bots dramatically boost accuracy, reduce errors, and can be deployed in stages. A business can roll out a booking bot one day, add a receptionist bot the next, and build an entire automated workflow within a week. The orchestration layer acts like a conductor, coordinating each bot while keeping data securely isolated in its own container. This isn’t just about performance — it’s about resilience and security. Smaller bots mean smaller attack surfaces, independent audit trails, clearer compliance boundaries, and easier scaling. Companies adopting this model are already seeing major improvements: up to 40% higher task-completion rates and 60% fewer errors. The customer experience benefits too. Instead of one confused, overloaded AI assistant, callers are routed to highly competent micro-bots that know their role and hand off cleanly when required. The takeaway: the future of AI voice systems isn’t size — it’s smarts. Specialisation, orchestration, and modularity are setting a new standard for performance, governance, and scalability. And as Dave points out, the businesses embracing this shift early are pulling ahead fast. AI Voice Solutions — powered by ib2. Beyond voice. Beyond automation. Pure performance. Got a question for Dave? Just ask. 📣 Get in Touch Got a question about voice bots? Want to collaborate or see how they can work for your business? I’d love to connect. 🌐 Website: ai-voice.ai📞 Book a Call: Schedule a 30-min chat🔗 LinkedIn: Dave💬 Text "Just ask Dave"

    6 min

  7. 03/12/2025

    flu-season

    "Just ask Dave send him a text" An healthcare provider proved that automation doesn’t have to kill the human touch. By deploying an outbound AI voice bot, they booked 50,000 flu shot appointments in 30 days, cut long wait times, and increased patient satisfaction by 25%. The big breakthrough wasn’t just the technology it was the persona. The first version of the bot was efficient but too formal. When they redesigned it to sound like a warm, caring nurse, engagement jumped 10% overnight. Patients described the experience as “easy” and “surprisingly smooth,” often preferring the bot to traditional call centres. With scheduling automated, staff could finally focus on complex patient needs instead of admin work. The system became more human, not less. This case shows a new path for healthcare: automation that enhances empathy, frees clinicians to provide real care, and creates more meaningful patient interactions. It’s a blueprint for future healthcare services from chronic condition management to post-op follow-ups proving that AI doesn’t replace the human touch; it amplifies it. 📣 Get in Touch Got a question about voice bots? Want to collaborate or see how they can work for your business? I’d love to connect. 🌐 Website: ai-voice.ai📞 Book a Call: Schedule a 30-min chat🔗 LinkedIn: Dave💬 Text "Just ask Dave"

    5 min

  8. 23/11/2025

    Cloud vs On-Premise for AI

    "Just ask Dave send him a text" This episode exposes the uncomfortable truth: 90% of companies choose their AI infrastructure based on habit, not strategy — and it’s costing them millions. The presenters unpack why both cloud and on-premise AI deployments are riddled with hidden risks and invisible costs. Cloud AI is often launched without proper security controls, leading to major vulnerabilities, foreign data processing, and long-term cost blowouts. Some organisations see their cloud bills triple by year three due to unexpected data-processing volume and “add-on creep.” On the other side, on-premise AI is frequently underestimated — with power, cooling, hardware replacement, and specialist staffing pushing real costs 40% above expectations. Some data centres are literally spending more on cooling than on the AI itself. The conversation highlights how industries like manufacturing are shifting to hybrid models, using cloud for speed and imaging workloads while keeping sensitive IP on-prem. But managing hybrid environments requires rare talent — engineers who understand cloud, on-prem, and security — often commanding $200k+ salaries. The real breakthrough discussed is the rise of “intelligent hybrid AI systems.” These automatically route workloads between cloud and on-premise based on real-time performance, security, and cost analysis. Companies using this approach are cutting AI infrastructure expenses by 45% while improving security. The biggest takeaway:  Choosing cloud or on-prem is no longer an IT decision — it’s a strategic business decision. Companies that treat it as a technical checkbox are three times more likely to fail. Those that plan properly, measure performance/security/cost together, and adopt intelligent hybrid models are winning. The future isn’t Cloud vs On-Prem. It’s adaptive, strategic, hybrid AI designed for performance, protection, and long-term efficiency. 📣 Get in Touch Got a question about voice bots? Want to collaborate or see how they can work for your business? I’d love to connect. 🌐 Website: ai-voice.ai📞 Book a Call: Schedule a 30-min chat🔗 LinkedIn: Dave💬 Text "Just ask Dave"

    6 min
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About

Navigate the evolving landscape of voice technology and AI-powered bots with The AI Voice Bot Podcast. Creative by Dave, a seasoned voice and AI veteran, this podcast uncovers practical applications, expert knowledge, and cutting-edge trends in voice automation. If you're looking to build, implement, or simply understand the power of voice bots, this podcast will keep you informed and ahead of the curve. 📣 Get in Touch Got a question about voice bots? Want to collaborate or see how they can work for your business? I’d love to connect. 🌐 Website: ai-voice.ai📞 Book a Call: Schedule a 30-min chat🔗 LinkedIn: Dave💬 Text "Just ask Dave"

Information

  • Creator
    Dave
  • Years Active
    2025 - 2026
  • Episodes
    81
  • Rating
    Explicit
  • Copyright
    © 2026 AI Voice bot
  • Show Website
    AI Voice bot