Companies are quickly adding artificial intelligence to their daily work. Businesses expect to spend billions on these tools over the next decade. This huge shift shows that leaders want to use AI deeply within their teams to improve how they operate.
However, hospitals, clinics, and financial groups need special care. These teams require smooth workflows and perfect alignment with strict privacy rules. StackAI offers a simple platform where users can build smart AI agents without writing code. These agents read messy data and complete complex tasks on their own. This article explores how StackAI provides the secure setup needed for highly regulated fields. We will look specifically at the AI providers that sign Business Associate Agreements and achieve full HIPAA compliance.
🔗 Learn More: Read our previous LLM leaderboard article here.

Building Secure and HIPAA Compliant AI Agents with StackAI
The integration of artificial intelligence into the global enterprise ecosystem has transitioned to a phase of mission critical infrastructure deployment. Global corporate spending on generative AI platforms is currently projected to reach an unprecedented 803 billion dollars by the year 2033. This financial trajectory underscores a profound operational shift. The modern enterprise requires sophisticated workflow orchestration, seamless integration with legacy data environments, and absolute adherence to stringent regulatory compliance frameworks.
StackAI is the no code, drag and drop platform for building enterprise grade AI agents that automate manual work across every team. It is deployed in over 200 org from regulated industries. By providing a comprehensive infrastructure, StackAI enables enterprises to orchestrate complex AI agents that understand unstructured data and execute multi step actions autonomously across disparate departmental functions. Compared to alternatives like Boomi, Langflow, Relevance AI, and Ketryx, StackAI provides an unmatched environment for regulated sectors.
How We Evaluate AI Models for the Enterprise
Choosing the right AI brain for your company requires looking at specific cognitive and reasoning test scores. We compare models based on how well they understand complex subjects, write code, and solve problems.
Leaderboard Benchmark | Primary Cognitive Measurement | Direct Enterprise Application Relevance |
|---|---|---|
MMLU | Breadth of knowledge across subjects including Law and Medicine | Foundational competency for cross departmental AI agents |
GPQA | Graduate level expert reasoning in specialized domains | Clinical research workflows and legal contract analysis |
SWE Benchmarks and HumanEval Plus | Software engineering and multi language code generation | IT automation and developer deployments |
MT Bench Analysis | Multi turn conversational abilities and instruction following | Patient support bots and HR onboarding assistants |
GSM8K Reasoning | Multi step mathematical and sequential logical reasoning | Automated invoice reconciliation and complex financial reporting |
DROP | Extract and synthesize discrete data from dense text | Data extraction from unstructured PDFs and scope of work synthesis |
Organizations can transition from using just one model to a smart system that routes tasks to different providers. You can send simple sorting tasks to a fast and cheap model while routing sensitive financial research to a highly secure and advanced model. This keeps your setup fast, affordable, and safe.
HIPAA Compliance and Secure AI Providers
Using AI in healthcare means dealing with strict privacy laws. In the United States, HIPAA sets the rules for protecting patient health information. To legally handle this sensitive data, an AI platform needs strong security measures and formal agreements with its cloud and AI model providers.
StackAI meets these requirements through multiple layers of security. The platform is SOC 2 Type II certified, GDPR compliant, ISO 27001 certified, and fully HIPAA certified. This makes it a highly reliable partner for healthcare organizations. StackAI supports both self hosted and on premise deployment, giving you flexibility and control.
What sets StackAI apart is its network of signed agreements with major AI providers. These agreements ensure that your data and patient details are never used to train or improve the public models of these providers. Your information stays private at all times.
Here are the main secure AI providers and their most prominent models you can use through the platform.
AI Provider | Specific Model | Primary Use Case |
|---|---|---|
OpenAI | GPT 5.2 | Solving difficult clinical reasoning tasks with the newest cognitive architecture |
GPT 5 Pro | Pulling key numbers from investment documents and running complex research | |
GPT 4o Mini | Converting natural language questions into database searches instantly | |
Anthropic | Claude 4.6 Opus | Drafting formal statements of work and analyzing historical proposal data |
Claude 4.5 Sonnet | Building patient systems that pull together comprehensive medical histories | |
Claude 4.5 Haiku | Handling fast and simple classification tasks to keep operational costs low | |
AWS Bedrock | Claude 4 Opus | Processing massive documents with strict geographic data residency needs |
Nova Pro | Enterprise wide network deployments and advanced analytics | |
Llama 3 70B | Custom administrative tasks and internal routing | |
Microsoft Azure | Azure GPT 5.2 | Processing patient data inside private boundaries with top tier reasoning |
Azure o4 Mini | Fast reasoning tasks within an isolated private cloud | |
TogetherAI | DeepSeek R1 | Advanced reasoning and sequential logic tasks for financial teams |
Llama 3.1 405B Instruct Turbo | Sovereign data processing and dynamic custom scaling |
Platform Architecture and Orchestration Mechanics
StackAI turns unstructured files like scanned medical records and emails into clean, actionable information. It does this through a simple visual interface. People in legal, finance, and healthcare can build their own AI workflows without needing IT support.
The system handles three main jobs to support your daily operations.
Data Extraction: The platform pulls specific details from medical charts, bills, and regulatory forms.
Knowledge Retrieval: You can ask questions in normal words and get accurate replies pulled straight from your company documents. There are no made up facts.
Document Generation: The platform takes the retrieved data and writes polished reports automatically. You can export these results to formats like Microsoft Word or Excel.
Security is built into everything. All data is locked during storage and movement. The system automatically hides personal names and numbers before the AI sees them. Managers can utilize role based access control to define feature access, manage project versioning, and configure single sign on groups.
Real-World Use Cases and The Best LLM to Use
Member and Patient Engagement
Use Case | AI Task Description | Optimal AI Model |
|---|---|---|
Call Center Compliance | Automate QA and regulatory monitoring for all member interactions | OpenAI GPT 4o Mini |
Care Manager Copilot | Risk based patient prioritization and automated outreach drafting | Anthropic Claude 4.5 Sonnet |
Patient Chatbot | 24/7 AI agent for triage, benefits FAQs, and scheduling | Azure o4 Mini |
Utilization Management and Claims
Use Case | AI Task Description | Optimal AI Model |
|---|---|---|
Appeal Letter | Reads medical files to prove a treatment is needed ensuring the claim is accepted | OpenAI GPT 5.2 |
Claim Routing and Triage | Sorts incoming documents like faxes, emails, and clinical notes and directs them for review | Anthropic Claude 4.5 Haiku |
Prior Authorization | Automates approval workflows and submission packet assembly | Microsoft Azure GPT 5.2 |
Clinical Operations and Flow
Use Case | AI Task Description | Optimal AI Model |
|---|---|---|
Patient Flow and Intake | Automate intake forms from end to end | AWS Bedrock Llama 3 70B |
Patient 360 | A unified view aggregating clinical, claims, and SDOH data | Anthropic Claude 3.7 Sonnet |
Non-Healthcare Specific

Use Case | AI Task Description | Optimal AI Model |
|---|---|---|
Contract Review and Redlining | Analyzes formal statements of work and complex historical data | Anthropic Claude 4.6 Opus |
RFP Response Generator | Generates accurate responses using massive context windows | Anthropic Claude 4.6 Opus |
SDLC Processes | Executes advanced reasoning and sequential logic tasks for engineering | TogetherAI DeepSeek R1 |
Due Diligence and OM Analysis | Pulls key numbers from investment documents and runs complex research | OpenAI GPT 5 Pro |
Vendors and Procurement | Handles deep data processing while adhering to geographic data residency needs | AWS Bedrock Nova Pro |
Email and Teams Flagging Systems | Monitors and categorizes internal communications for fast internal routing | AWS Bedrock Llama 3 70B |
Choose the Best Model for Each Task in StackAI

In StackAI, you have access to one of the broadest selections of models and providers available, and you can use them across countless real-world tasks. Want us to walk you through the best models for your use cases? Book a demo with us here.




