Andrew Bolis on Creating ‘Lifelike’ AI Personas for Business Communication

In a recent LinkedIn post, Andrew Bolis explores the evolving landscape of AI chatbots and introduces a platform designed to create more human-like digital interactions. Bolis argues that while current AI chatbots are becoming technically advanced, they often lack the natural feel and emotional resonance that users desire in communication.

He highlights a key gap in the market: the need for AI that can engage in meaningful communication, making users feel heard and understood. This is where the platform Anam, as detailed by Bolis, aims to make a significant impact.

“AI chatbots are getting smarter. But they feel robotic, scripted, and emotionless. They deliver information, but it doesn’t feel like a natural human interaction.”

According to Bolis, users are seeking more than just information retrieval; they want authentic engagement. This need extends to businesses that require scalable communication solutions across various products and services.

Introducing Anam: Beyond Robotic Interactions

Andrew Bolis explains that Anam is a platform focused on creating AI Personas that can communicate in real time, mimicking human interaction. He breaks down the core components of these Personas, emphasizing their three key layers:

• Face: Users can select, upload, or generate a visual representation that aligns with their brand identity.
• Voice: The platform offers natural voice engines to adjust tone, warmth, and clarity, making the AI sound more human.
• Brain: Bolis notes the flexibility in connecting advanced language models, including GPT-4, GPT-5, Claude, or even custom models, to power the AI’s intelligence.

These Personas are designed for rapid responses, operating in under a second, and maintaining a consistent brand tone while appearing realistic.

“These Personas respond in under a second. They look realistic and stay consistent with your brand tone.”

Applications Across Business Functions

Bolis outlines a wide range of applications where these lifelike AI Personas can be deployed. He points out that Anam’s technology can transform static customer support FAQs into dynamic, live conversations. In sales enablement, the Personas can offer consistent coaching and role-playing scenarios.

For learning and development, Bolis suggests that Anam can make training more interactive and adaptive. Other key areas highlighted include:

• Onboarding: Guiding new users or employees through processes step-by-step.
• Healthcare Training: Simulating patient interactions in a safe, controlled environment.
• Language Learning: Providing personalized practice and real-time correction.

As Andrew Bolis emphasizes, the goal is to simplify how teams design and implement human-like digital interactions that are crucial for modern customer engagement.

A Practical Guide to Building an AI Persona

To illustrate the platform’s usability, Bolis shared a step-by-step process he followed to build a Customer Support persona using Anam. This practical guide demystifies the creation process, starting with account setup and moving through persona design.

“Anam simplifies how teams design human-like digital interaction. The personas work for support, sales, training, onboarding, and learning.”

The steps involve choosing a face, integrating a language model for the ‘brain,’ selecting an appropriate voice, defining the Persona’s behavior through system prompts, and connecting relevant knowledge bases like FAQs and help documents. The final stage includes testing for accuracy and tone before publishing the Persona to a website or application.

In conclusion, Andrew Bolis argues that real-time interaction is no longer a luxury but a fundamental requirement for modern digital experiences. His insights suggest that platforms like Anam are paving the way for more engaging and effective AI-driven communication.