The Agentic AI Podcast

Dave

Navigate the fast-moving world of AI agents, automation, and intelligent workflows with The Agentic AI Podcast. Hosted by Dave, a long-time voice and AI specialist with more than 20 years of industry experience, this podcast explores real-world AI deployments, autonomous agents, voice technology, operational automation, and the future of agentic systems. Each episode breaks down practical use cases, emerging trends, business strategies, security challenges, and the lessons learned from deploying AI in real organisations. From AI voice agents and workflow automation to governance, compliance, and customer experience, the podcast focuses on what works in the real world. If you are building AI systems, exploring autonomous agents, or looking to understand where AI is heading next, The Agentic AI Podcast keeps you informed, practical, and ahead of the curve. 📣 Get in Touch Have a question about AI agents, voice technology, or automation for your business? Want to collaborate or appear on the podcast? Dave would love to connect. 📞 Book a Call: Schedule a 30-min chat🔗 LinkedIn: Dave💬 Text "Just ask Dave"

  1. Jun 22

    AI Agents Don't Just Save Money. They Make It.

    "Just ask Dave send him a text" Most businesses still view AI as a way to reduce costs and save time. While that's true, the bigger opportunity is revenue generation. AI agents are transforming how businesses attract, engage, and grow customers. Instead of waiting for staff to respond to enquiries, AI agents engage prospects instantly, qualify leads, answer questions, collect information, and book appointments around the clock. Every missed enquiry becomes a potential sales opportunity. The impact goes far beyond lead generation. AI agents can analyse customer behaviour, identify upsell opportunities, and proactively engage existing customers before a salesperson even notices the opportunity. This helps businesses increase revenue from customers they already have, often at a much lower cost than acquiring new ones. AI is also creating entirely new revenue streams. Financial advisors, accountants, healthcare providers, consultants, and legal firms can now deliver services to hundreds or thousands of clients simultaneously through AI powered monitoring, reporting, and advisory services. What was once limited by staff capacity becomes a scalable subscription offering. Another major opportunity lies within business data. AI agents can uncover under-billed accounts, identify customers at risk of leaving, detect high converting market segments, and reveal growth opportunities hidden inside sales and customer records. The value comes not from the data itself, but from acting on the insights. The businesses seeing the greatest success with AI are no longer asking how many hours they can save. They are asking how many leads they can generate, how many customers they can retain, and how much additional revenue they can create. AI is moving beyond automation and becoming a digital workforce that generates leads, converts prospects, identifies opportunities, and drives growth every day. Saving money is useful. Making money is transformational. 📣 Get in Touch Questions about Agentic AI, AI workflows, or automation? Want to collaborate, partner, or appear on the podcast? Dave is always happy to connect. 📞 Book a Call: Schedule a 30-min chat🔗 LinkedIn: Dave💬 Text "Just ask Dave"

    7 min

  2. Jun 18

    AI is transforming financial management

    "Just ask Dave send him a text" This episode explored how AI is transforming financial management for businesses. The AI Financial Management Agent helps businesses save hundreds of hours each year, reduce overdue invoices by more than 30%, and cut data entry errors by up to 75%. More importantly, it improves cash flow, speeds up payments, and helps business owners make better financial decisions. Phase 1 focuses on bookkeeping compliance and debtor management. The AI identifies missing financial information, automatically follows up with staff, manages overdue invoices, and escalates high-risk accounts. Businesses reported a 70% reduction in manual debtor follow-up and a 35% reduction in overdue receivables. Phase 2 automates data capture and reconciliation. The system reads supplier invoices from email, creates draft bills in Xero, matches payments against invoices, and reconciles transactions automatically. This reduced invoice processing time by 80%, bank reconciliation effort by 60%, and data entry errors by 75%. Phase 3 introduces an AI Financial Advisor Voice Agent. The AI calls directors with weekly financial updates covering sales performance, cash flow, debtor risks, expense changes, and upcoming tax obligations. Instead of waiting for month-end reports, business owners receive timely insights that help them act sooner. After 12 months, businesses achieved over 500 hours of administrative savings annually, improved cash flow visibility, reduced debtor balances, and gained greater confidence in financial decision-making. The key takeaway is simple. AI is moving businesses from reactive bookkeeping to proactive financial management. Rather than recording what happened, AI helps predict risks, identify opportunities, and support better business decisions. That's our show for this week. Powered by Dave. If you enjoyed this episode, follow, rate, and share. Until next time, keep talking smart. 📣 Get in Touch Questions about Agentic AI, AI workflows, or automation? Want to collaborate, partner, or appear on the podcast? Dave is always happy to connect. 📞 Book a Call: Schedule a 30-min chat🔗 LinkedIn: Dave••💬 Text "Just ask Dave"

    8 min

  3. Jun 9

    AI's Hidden Revolution: Transforming Workflow Automation

    "Just ask Dave send him a text" This episode explores how Agentic AI is transforming business operations far beyond chatbots and content generation. While most people think of AI as a tool for answering questions, some of the biggest benefits are happening behind the scenes through workflow automation. The discussion focuses on how AI agents are handling complex business processes that traditional automation struggles with, especially when exceptions occur. Modern AI systems can analyse situations, make decisions, and take action automatically when payments don't match, documents are missing, or customers fail to respond. A key focus is payment reconciliation and revenue assurance. AI agents can monitor transactions in real time, identify missed payments, bounced transactions, duplicate payments, underpayments, overpayments, and incorrectly allocated funds. They can then update systems, notify teams, create tasks, and even initiate customer follow up automatically. The episode also explores how AI improves customer experiences by automating document collection, application triage, onboarding, and customer communications. Customers receive faster responses, greater transparency, and quicker issue resolution. Importantly, the conversation highlights that AI is not replacing employees. The organisations achieving the strongest results are using AI to remove repetitive administration and manual tasks so staff can focus on customer relationships, strategy, analysis, and higher value work. The key takeaway is simple. The greatest value of Agentic AI is not replacing people. It is removing friction from business processes, improving accuracy, accelerating outcomes, and allowing employees to focus on work that creates real business value. This podcast is powered by Dave, a veteran of the voice and AI voice bot industry with more than 20 years of hands on experience helping organisations improve customer interactions, automate workflows, and deliver better business outcomes through AI. 📣 Get in Touch Have a question about AI agents, voice technology, or automation for your business? Want to collaborate or appear on the podcast? Dave would love to connect. 📞 Book a Call: Schedule a 30-min chat🔗 LinkedIn: Dave••💬 Text "Just ask Dave"

    7 min

  4. Jun 3

    Avoiding the Hidden Costs of AI: Bill Shock Explained

    "Just ask Dave send him a text" AI Bill Shock is becoming a growing challenge for businesses using AI chatbots, agents, and automation tools. The problem occurs when organisations expect a small monthly AI bill, only to receive an invoice worth thousands of dollars due to unexpected token consumption. AI providers charge based on tokens, which are the pieces of text processed by the AI. Every question, response, document upload, conversation history, system prompt, and workflow interaction consumes tokens. While individual costs appear small, usage can grow rapidly. Some of the biggest causes of AI Bill Shock include long conversation histories, large context windows, AI agents calling other AI agents, embedding large document libraries, and generating overly detailed responses. Many businesses are unaware that every interaction includes hidden costs such as system instructions, previous chat history, and supporting documents. Real world examples include internal helpdesk chatbots that cost far more than expected because they stored entire conversation histories, legal firms that underestimated the cost of indexing thousands of contracts, and AI research agents that ran continuously over a weekend and generated massive token usage. The good news is that AI Bill Shock is preventable. Businesses should set spending limits and alerts, monitor usage regularly, choose the right model for each task, reduce unnecessary conversation history, optimise prompts, limit response lengths, and place guardrails around AI workflows. Tracking costs through dashboards and measuring cost per task or workflow also provides valuable visibility. The key lesson is simple. AI costs are not usually driven by bad technology. They are driven by a lack of visibility and governance. Organisations that understand token usage and actively manage it will gain the benefits of AI without receiving unexpected invoices. Behind this podcast is Dave, a long time voice technology expert with more than 20 years of experience in AI voice bots, customer interaction systems, and business automation. Until next time, keep talking smart. 📣 Get in Touch Have a question about AI agents, voice technology, or automation for your business? Want to collaborate or appear on the podcast? Dave would love to connect. 📞 Book a Call: Schedule a 30-min chat🔗 LinkedIn: Dave••💬 Text "Just ask Dave"

    10 min

  5. May 28

    Unmasking AI Bias: The Hidden Hiring Crisis

    "Just ask Dave send him a text" A Stanford study analysing more than 4 million job applications across 156 employers found some AI hiring systems were disproportionately screening out Black and Asian applicants.  The issue was not limited to one company. Many organisations were using the same underlying AI models and assessment systems, creating what researchers called “algorithmic monoculture.” If one AI model contains bias or flawed assumptions, those problems spread across multiple businesses and industries.  The AI systems used behavioural assessments instead of simple resume filtering. Candidates completed tasks measuring memory, attention, decision making, and behavioural traits. The AI then compared those results against profiles of existing “successful employees.” The problem is that if historical workforce data already contains bias or lacks diversity, the AI learns and reinforces those same patterns.  The podcast explains that businesses should not treat AI systems as invisible black boxes. Strong AI governance requires:  • Human oversight  • Bias and fairness testing  • Independent audits  • Transparent reporting  • Monitoring of rejection patterns  • Red teaming and stress testing AI systems  • Clear escalation paths for incorrect decisions  The discussion also highlights that this issue extends beyond recruitment into finance, healthcare, insurance, fraud detection, and customer service workflows where AI is increasingly making operational decisions.  The main takeaway is simple. AI improves speed and automation, but businesses still need governance, monitoring, transparency, and human accountability built into every operational AI workflow. 📣 Get in Touch Have a question about AI agents, voice technology, or automation for your business? Want to collaborate or appear on the podcast? Dave would love to connect. 📞 Book a Call: Schedule a 30-min chat🔗 LinkedIn: Dave••💬 Text "Just ask Dave"

    7 min

  6. May 27

    AI Revolutionizing Property Management: Time-Saving Insights

    "Just ask Dave send him a text" AI is rapidly changing property and strata management workflows. AI voice agents and workflow automation systems are now handling calls, maintenance requests, contractor coordination, compliance tracking, after-hours emergencies, and tenant communication automatically. Property management groups are reporting savings of 20 to 40 hours per week by reducing repetitive admin tasks and improving workflow consistency. The biggest gains are coming from: • 24/7 AI call handling • Automated maintenance triage • Faster tenant updates • Compliance reminders • After-hours emergency escalation • Reduced voicemail and missed requests The focus is not replacing staff. The goal is giving teams more time for customer relationships, problem solving, and operational management. 📣 Get in Touch Have a question about AI agents, voice technology, or automation for your business? Want to collaborate or appear on the podcast? Dave would love to connect. 📞 Book a Call: Schedule a 30-min chat🔗 LinkedIn: Dave••💬 Text "Just ask Dave"

    8 min

  7. May 23

    The Shift From AI Tools to AI Operations

    "Just ask Dave send him a text" This podcast explores how AI is rapidly becoming part of everyday business operations instead of remaining a simple productivity tool. The discussion focuses on how businesses are moving from basic AI use, like writing emails and summarising meetings, into full operational AI workflows including: • AI voice agents • automated follow ups • appointment booking • compliance monitoring • workflow automation • customer engagement The episode explains that successful AI adoption is not mainly about buying software. The biggest challenges are workflow integration, governance, security, compliance, staff adoption, and operational monitoring. The presenters also discuss how AI is changing employee roles by reducing repetitive admin work and allowing staff to focus more on strategy, customer relationships, and problem solving. Another key topic is AI governance and security, especially in industries like healthcare, finance, and legal where businesses need private AI environments, audit logging, role based access, and stronger operational controls. The overall message is that businesses focused on practical implementation and measurable operational value are seeing the strongest AI results. 📣 Get in Touch Have a question about AI agents, voice technology, or automation for your business? Want to collaborate or appear on the podcast? Dave would love to connect. 📞 Book a Call: Schedule a 30-min chat🔗 LinkedIn: Dave••💬 Text "Just ask Dave"

    7 min

  8. May 21

    Revolutionizing Tax Compliance: AI is Changing the Role

    "Just ask Dave send him a text" This episode of the AI Voice Bot Podcast explores how AI is transforming tax compliance and accounting workflows. The discussion explains how AI systems now monitor regulation changes, pre fill tax forms, identify deductions, and flag compliance risks in real time.  The podcast highlights several major benefits for accounting firms: • AI continuously tracks tax law and compliance changes, reducing the risk of missed updates and penalties.  • AI pulls information from payroll systems, bank feeds, and accounting platforms to automate data entry and reduce errors.  • AI identifies possible deductions and compliance issues before they become expensive problems.  • Accountants spend less time on repetitive admin and more time on strategic client advice and planning.  • AI improves consistency by applying the same level of review across every return and transaction. The episode also discusses common concerns around AI adoption, including software integration, region specific tax rules, security, and explainability. The key point is that successful firms are using AI as a partner to support accountants, not replace them. The broader message is that accounting firms adopting AI early are shifting from reactive compliance management toward proactive risk management and advisory services. The future accountant becomes more focused on strategy, relationships, and decision making while AI handles monitoring and repetitive workflow tasks.  📣 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. 📞 Book a Call: Schedule a 30-min chat🔗 LinkedIn: Dave••💬 Text "Just ask Dave"

    7 min
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About

Navigate the fast-moving world of AI agents, automation, and intelligent workflows with The Agentic AI Podcast. Hosted by Dave, a long-time voice and AI specialist with more than 20 years of industry experience, this podcast explores real-world AI deployments, autonomous agents, voice technology, operational automation, and the future of agentic systems. Each episode breaks down practical use cases, emerging trends, business strategies, security challenges, and the lessons learned from deploying AI in real organisations. From AI voice agents and workflow automation to governance, compliance, and customer experience, the podcast focuses on what works in the real world. If you are building AI systems, exploring autonomous agents, or looking to understand where AI is heading next, The Agentic AI Podcast keeps you informed, practical, and ahead of the curve. 📣 Get in Touch Have a question about AI agents, voice technology, or automation for your business? Want to collaborate or appear on the podcast? Dave would love to connect. 📞 Book a Call: Schedule a 30-min chat🔗 LinkedIn: Dave💬 Text "Just ask Dave"

Information

  • Creator
    Dave
  • Years Active
    2025 - 2026
  • Episodes
    92
  • Rating
    Explicit
  • Copyright
    © 2026 The Agentic AI Podcast
  • Show Website
    The Agentic AI Podcast

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