Episode Details

Deterministic AI Sets the Roadmap for Safer Communications, ICA AI Podcast. Rather than sending every word of every conversation into a large language model, Christensen describes a model where much of the decision-making is based on known patterns, trusted relationships, keywords, context, policy, and call behavior. In sensitive verticals such as financial services, healthcare, legal services, and government, that can be especially important because communications may involve private data, personally identifiable information, account details, medical information, or other sensitive content

By Doug Green

“As AI gets more powerful, the question is not simply whether it can answer a prompt. The question is whether it can be trusted in the communications path,” says Gerry Christensen, associate founder of ICA AI. “For high-security communications, deterministic AI is not just different. In many cases, it is necessary.”

In this Technology Reseller News podcast, Gerry Christensen of ICA AI joins Doug Green to define an important distinction that is becoming central to the future of AI-powered communications: probabilistic AI versus deterministic AI.

The conversation is less about a single product announcement and more about setting out a roadmap. Christensen explains why most people experience AI through probabilistic systems, including large language models that generate answers based on patterns, probabilities and prompts. Those tools can be powerful, but they can also hallucinate, miss context, or create outputs that sound confident while being wrong.

For communications providers, MSPs, UCaaS providers, MVNOs and telecom resellers, Christensen argues that this distinction matters because voice networks are entering an era where AI will be used on both sides of the call. Legitimate businesses will use AI in contact centers. Bad actors will use AI to scale fraud, spoofing, robocalls and deepfake-style attacks. Consumers and enterprises will increasingly need AI to help determine which calls should get through, which calls should be challenged, and which calls should be blocked.

ICA AI, short for Intelligent Communications Assistant, is built around that problem. Christensen describes the platform as an AI-based assistant that can support outbound calling and, perhaps more importantly, inbound call handling. The goal is to allow trusted calls from colleagues, friends, family and legitimate businesses to pass through, while filtering unwanted or suspicious calls.

The core idea is determinism.

Rather than sending every word of every conversation into a large language model, Christensen describes a model where much of the decision-making is based on known patterns, trusted relationships, keywords, context, policy and call behavior. In sensitive verticals such as financial services, healthcare, legal services and government, that can be especially important because communications may involve private data, personally identifiable information, account details, medical information or other sensitive content.

Christensen gives the example of a financial services call. A pro