The Agentic AI Podcast
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"
The Agentic AI Podcast
Avoiding the Hidden Costs of AI: Bill Shock Explained
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"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"
