How AliceOS is powering Banking and Healthcare leaders?

For CTOs and Heads of AI in highly regulated sectors, the challenge of Generative AI is no longer about testing the capabilities of Large Language Models (LLMs). The real bottleneck is operationalizing them.

Moving from an isolated AI proof-of-concept to a secure, autonomous AI workforce requires orchestration, deployment speed, and strict lifecycle management. You don’t just need an LLM; you need a unified workspace to manage how AI operates safely within your enterprise.

That is why we built AliceOS.

AliceOS is the enterprise-grade platform that empowers Banking and Healthcare teams to build, test, and manage complex AI Agents. It provides a orchestration layer that bridges the gap between IT and business—allowing operational teams to build agents quickly, while giving IT complete control over architecture, security, and governance.

Proven at Scale: How Industry Leaders Use AliceOS

Before diving into the architecture, it is important to look at how AliceOS operates in production for Tier-1 institutions today:

• Santander: To eliminate clunky phone menus and streamline support, Santander deployed "Sandi," a custom voice agent built on AliceOS. Sandi instantly understands complex banking requests and executes end-to-end tasks, bypassing legacy IVR limitations entirely. Read the Santander Case Study

  
  

• Vivalto Santé: Facing massive call volumes for routine appointments, these healthcare leaders deployed "Lusi." Powered by AliceOS, Lusi handles complete patient workflows—from directly managing inbound scheduling to executing automated, proactive outbound calls that drastically reduce no-show rates. Read the Vivalto Santé Case Study / Read about the Vivalto Santé Partnership

How Does AliceOS Help You Build AI Agents?

How do organizations like Santander and Lusíadas deploy AI so effectively? To scale AI securely in high-stakes environments, you cannot rely on a single, monolithic prompt.

AliceOS is engineered on a highly fine-tuned, 7-layer architecture designed specifically to manage complexity, eliminate hallucinations, and execute real-world tasks:

1. Agent Creator

Building enterprise AI shouldn’t drain your engineering resources. The Agent Creator is a environment that allows business teams to create, iterate, and optimize agents using natural language. Simply upload your rulebooks, workflows, or documents, and the platform translates business logic into a functional AI agent.

2. Orchestrator Agent

Managing a multi-agent ecosystem requires flawless routing. The Orchestrator acts as the central hub, parsing complex user requests and seamlessly routing the conversation to the right specialized agent. Already managing over 100+ agents in production environments, the Orchestrator abstracts the complexity of multi-step operations.

3. Domain Agents

General-purpose AI fails in regulated industries because it lacks context. Our Domain Agents layer comes pre-built with the strict operational and regulatory requirements of Banking and Healthcare. This layer includes out-of-the-box workflow optimizations and components that already know how to navigate your industry’s specific nuances.

4. Workflow & Micro Agents

High-stakes environments demand high accuracy. AliceOS deconstructs complex processes into smaller, highly specialized Micro Agents. By giving each agent a dedicated, narrow focus, the platform minimizes error rates, mitigates hallucination risks, and ensures reliable execution.

5. Knowledge & Tool Agents

This is where reasoning meets action. These agents securely connect to your internal knowledge bases, CRM systems, and enterprise APIs. They don’t just converse—they execute real-world state changes within your existing infrastructure.

6. Guardrails Agents

In banking and healthcare, compliance is non-negotiable. The Guardrails layer operates as a silent, continuous supervisor. It monitors every interaction, response, and API call in real-time, ensuring that your AI workforce remains strictly within your organization’s defined safety, ethical, and regulatory boundaries.

7. Supervisor Agent

The final layer of the stack closes the feedback loop. The Supervisor Agent continuously observes system-wide performance, interaction quality, and latency. It provides the telemetry and analytics data necessary for evidence-based, continuous refinement of your operations.

One Platform. Your Entire AI Workforce.

Organizations don't need fragmented codebases or disconnected AI wrappers. They need a cohesive operating system. AliceOS delivers a secure, multi-layered architecture that empowers your business teams to innovate rapidly without bypassing IT governance.

Ready to see the architecture in action?

Talk to our technical team about deploying AliceOS in your environment.