The Rise of the Micro-Bot Model
Description
"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
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