Behavioral Relationship Intelligence for AI Communications
Every Communication Verified. Integrity. Security. Privacy.
+Trusted.
ICA AI provides a patented trust layer for AI-driven and other communications, built on behavioral relationship intelligence — a new field the USPTO has confirmed. Before a call is placed, a message is sent, or an action is taken, our platform evaluates whether a trusted relationship exists — and routes the interaction accordingly.
Just as SWIFT, Visa, and ACH became the trust infrastructure for financial transactions, +Trusted is the trust infrastructure for AI communications.
The result: lower inference costs, stronger governance, preserved privacy, and auditable decision records — without content inspection.
Projected Cost Reduction
Architectural modeling
U.S. Patents Granted
6 additional pending
Total Patent Filings
Four PATENT FAMILIES
None
None of your content is read for scoring. Privacy by design, not by promise.
Watch
See +Trusted.
The trust layer for AI communications — explained.
The Problem
AI is Everywhere. Trust is Nowhere.
Autonomous AI agents — software that initiates calls, sends messages, and transacts on behalf of users — are now a deployed reality, not a forecast. Open-source frameworks have made AI callers as accessible as web browsers. Sam Altman has predicted AI callers will generate more phone calls than all human beings combined. The communications stack was built for a world where every caller was human. None of it was designed for this.
No Relationship Verification
AI agents can authenticate an account or device, but not whether a legitimate relationship exists between the parties involved.
Unsustainable Economics
Every AI interaction hits a large language model at full inference cost — even when most of those interactions don’t require generative reasoning.
False Promise of Privacy
Most AI workflows depend on inspecting message content to function, creating avoidable privacy and data-handling exposure.
Weak Decision Auditability
Enterprises need a clear record of why an AI-assisted action was allowed, routed, escalated, or denied. Current architectures don’t produce them.
How +Trusted Works
A Trust Layer That Verifies Relationships Before Every Interaction.
Identity verification confirms who is calling. That’s necessary — but not sufficient. A caller can be fully verified and still be unwanted. +Trusted adds the layer that didn’t exist until now: behavioral authorization. It evaluates relationship patterns, frequency, timing, and context to determine whether a trusted relationship actually exists between the parties — then routes the interaction before any inference occurs.
It analyzes how people communicate — patterns, frequency, context, timing — never what they say. Most interactions are resolved deterministically and never touch a language model at all.
Each decision produces an auditable record. And the system improves over time — because resolved queries graduate into the deterministic library permanently, sharpening deterministic precision with every interaction.
Semantic Routing Layer (SRL)
Deterministic resolution against the stored pattern library. Returns a trust answer in under 100 milliseconds — no inference, no LLM cost.
~12–13%
Model-Free Reinforcement Learning (MF-RL)
Adaptive efficiency. Handles medium-sophistication unwanted communications — adaptive spam, behavioral mimicry — and returns a deterministic verdict.
~2–3%
Model-Based Reinforcement Learning (MB-RL)
High-stakes precision. The architectural answer to adaptive AI-driven threats — a deterministic verdict on the most consequential interactions.
A multi-modal LLM is available as an optional capability inside the Communication Assistant — a linguistic utility for genuinely ad-hoc language. It is not one of the three Decision Engines and makes no routing decisions.
Every routing decision is deterministic — explainable, auditable, and correct where a wrong answer costs the most.
What a +Trusted Routing Decision Looks Like
Illustrative
This is what +Trusted produces. Every interaction that enters the platform generates a structured routing decision — not a prediction, not a probability, but a deterministic evaluation of whether a trusted relationship exists.
In this example, an inbound voice call is evaluated against 14 months of behavioral history. Seven relationship signals confirm a recurring weekly pattern. The TrustScore is 94. The call is routed directly through the decision engine — no language model invoked, no content accessed, no inference cost incurred.
PRIVACY BY ARCHITECTURE
How Does +Trusted Keep Your Data Private?
Most AI systems analyze what people say — the content of messages, calls, and documents — to make decisions. That creates privacy exposure, regulatory complexity, and data-handling costs that scale with every interaction.
+Trusted takes a fundamentally different approach. It evaluates relationship signals — communication patterns, frequency, timing, reciprocity, and behavioral context — to determine whether a trusted relationship exists between parties. The content of the interaction is never ingested, stored, or analyzed.
This is what makes the 85+% cost reduction possible: the system doesn’t need an LLM to evaluate a relationship. It needs pattern recognition operating on metadata — which is deterministic, fast, and private by design.
Probabilistic AI (Industry Standard)
Reads content to understand context. Every interaction requires inference. Privacy depends on policy controls. Cost scales linearly with usage.
+Trusted (Deterministic)
Reads relationship patterns to determine trust. Most interactions resolved without inference. Privacy is structural — content is never accessed. Cost declines over time as the deterministic library grows.
USE CASES
Built for Organizations Deploying AI Into Real-World Communications.
+Trusted is infrastructure — it deploys underneath the platforms and products your business already runs.
CPaaS & UCaaS Providers
Reduce AI inference costs
Problem: As communications platforms add AI features, inference cost rises faster than revenue. The more customers use it, the worse the economics get.
Enterprise AI Governance
Add audit controls to AI-assisted actions
Problem: AI agents are making decisions, but compliance teams can’t produce per-action audit trails. Regulators are asking questions that current architectures can’t answer.
Carriers & Communications Infrastructure
Authenticate calls without reading your private content
Problem: Spoofed calls, deepfake voices, and AI-generated phishing are eroding subscriber trust. Network-level authentication validates the path — not the relationship.
AI Platform Companies
Deploy AI agents that enterprises actually trust
Problem: Autonomous agents become useful at scale only when enterprises can apply trust and policy checks before an action is taken.
What Subscribers Experience
Every subscriber. Every device. Every call verified.
What the subscriber sees — and what they don’t.
Verified Through
TrustScore 76–100
Recognized fingerprint. Trusted relationship confirmed. The phone rings normally, with caller name and TrustScore displayed.
Screened
TrustScore 51–75
Unknown but plausible. The Communication Assistant handles the call end-to-end — caller is screened, queried for identity and purpose, and the result is presented to the subscriber as a Trust Card before the phone rings.
Every decision is deterministic. Every decision is logged. The human always has the final word.
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Nothing changes about outbound. The subscriber makes calls exactly the way they always have. +Trusted is invisible until the system needs to show you something — and even then, the interaction comes to you as a notification. You don’t go to the app. The app comes to you.
HOW +TRUSTED DEPLOYS
No App Store. No Install. Works on Every Device.
+Trusted is a cloud-native platform — operators integrate it at the network level, not through app store distribution. The subscriber-facing view is delivered as a Progressive Web App that works on every modern device without requiring anyone to visit an app store, create an account, or install anything.
Operator integration. Cloud-native.
The platform integrates with operator infrastructure at the cloud and network level — no app store gatekeepers, no per-platform builds, no Apple or Google approval cycles. One integration, every customer.
Subscriber view. PWA-delivered.
The Relationship Intelligence Dashboard — the subscriber’s window into +Trusted — is delivered as a Progressive Web App. It works on every Android phone, every iPhone running iOS 16.4 or later, and every Windows, Mac, and Linux laptop or desktop with a modern browser.
Activation. One tap. Or silent.
On Android, the carrier provisions the PWA invisibly. On iPhone, the subscriber sees one screen on first power-on: “Tap here to protect your calls and texts.” That is the only action any subscriber ever takes.
The Phone Only Rings When It Should.
Every call verified. Every ring earned. Every decision in the subscriber’s hands.
+Trusted is not an app you use. It is infrastructure that protects you. The PWA is the display layer for when the system needs to show you something.
IN DEPLOYMENT
Selecting partners. Proving it live.
ICA AI is selecting deployment partners for +Trusted — measuring before-and-after results across cost, security, privacy, and productivity with a rigorous 60-day baseline methodology.
Measured results will be published here.
The proof-of-concept follows a census methodology — every employee, every call, every channel, every day — producing investment-grade evidence. When results are available, they’ll replace this section with measured data, not projections.
WHY ICA AI
A Patented Architecture for AI Trust Using Relationship Intelligence.
PATENTS GRANTED
6 additional pending in communications and AI-era filings
OF TRAFFIC RESOLVES WITHOUT LLM INFERENCE
Deterministic routing at near-zero cost
ARCHITECTURE, TEN OUTCOMES
One body of code, ten categories of value
Inventors, Architects, and Industry Strategists.
Ray Sheppard
Chairman, Founder & CEO
Alan McCord, PhD
Chief AI Architect & Co-Inventor
Gustavo Marin
Co-Inventor & Patent Strategy
John Cronin
IP Advisor · ipCapital Group · 400+ Patents
Bob Fike, PhD
Systems Engineering · 8 Patents
Gerry Christensen
+Trusted Industry Strategist
COMMON QUESTIONS
What Platform Partners Ask Next.
NewsRoom
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Deterministic AI Sets the Roadmap for Safer Communications: ICA AI Podcast
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…
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The Market Wants AI It Can Trust. +Trusted Built the Foundation
As AI calls become impossible to tell apart from real people, ICA AI, Inc. holds the patents for a new kind of infrastructure — one that verifies trust before a connection is made, and delivers the privacy, security, and integrity the market is now demanding. BOCA RATON, FL – May 28, 2026 – For fifty years,…
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ICA AI Announces +Trusted: Deterministic AI Platform to Replace Probabilistic Canned AI Across the UCaaS Industry
Boca Raton, FL – February 11, 2026 – As Unified Communications as a Service (UCaaS) providers accelerate the deployment of artificial intelligence, the majority of enterprise solutions continue to rely on what industry observers increasingly describe as “canned AI”—assistants powered primarily by public, probabilistic models designed to interpret intent and generate responses, but unable to guarantee…
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— here’s where to start.
Platform & Infrastructure Partners
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