Deploy No-Code AI Agents with Stack AI for Enterprise Compliance
We integrate and deploy Stack AI, an enterprise no-code platform for building AI workflows and agents. It features SOC2 Type II certification, HIPAA compliance, and supports on-premise deployment—designed for regulated industries. We have implemented it in banks and medical centers: the time from idea to first workflow is 1–2 weeks. Infrastructure cost savings reach $50,000 per year by eliminating GPU cluster rentals and optimizing token usage.
How We Solve Enterprise Compliance Problems with Stack AI
In regulated industries, every model must pass an audit trail. Stack AI provides built-in approval gates (human-in-the-loop), logging of all actions, and a role-based access model. In practice, this means: when an AI agent accesses a financial document, the system automatically requests confirmation from a senior analyst. All decisions are recorded for subsequent audits. This approach is documented in the Stack AI Security Whitepaper confirming compliance with SOC2 Type II and HIPAA standards.
Enterprise Compliance: HIPAA for healthcare, FERPA for education, SOC2 for finance. Full on-premise deployment capability without data leaving the client's infrastructure—this meets the requirements of most regulators.
Why No-Code AI Agents Implement 8x Faster
Stack AI's Visual Workflow Builder resembles Flowise or Langflow but with enterprise-grade security. Instead of writing code, you use drag-and-drop blocks. We have seen projects where custom development on LangChain took 3–4 months, while on Stack AI it took 2 weeks. The speed difference reaches 8x due to ready-made templates and integrations. Unlink Langflow, Stack AI includes built-in compliance and human-in-the-loop from day one.
| Criterion | Stack AI | Custom development |
|---|---|---|
| Time to MVP | 1–2 weeks | 2–4 months |
| Compliance audit | Built-in | Requires separate development |
| Integrations | 50+ ready-made | Each written from scratch |
| Human-in-the-loop | Out of the box | Custom implementation |
How We Ensure Data Security with Stack AI
The platform offers several deployment options: SaaS (data encrypted at rest and in transit), VPC (isolated cloud), and on-premise. In on-premise, the client manages encryption keys themselves and can configure audit logging at the infrastructure level. In one project, we deployed Stack AI in a bank's private cloud: compliance review took 3 days, after which the system processed up to 10,000 requests per day with zero incidents.
| Deployment option | Control level | Setup time |
|---|---|---|
| SaaS | Basic | Days |
| VPC | Medium | Week |
| On-premise | Full | 1–2 weeks |
Applications and Results
Healthcare: AI assistant for medical documentation under HIPAA — error reduction by 40% through compliance checks at every step. Finance: analysis of financial documents under SOC2 — processing 1000 pages per minute. Legal: contract review and summarization — 3x acceleration over manual review.
What We Deliver in Each Project
We provide the full cycle: audit of current infrastructure, compliance configuration, building business logic in the visual builder, integration with corporate systems (CRM, ERP, DMS), team training, and comprehensive documentation. After deployment, we offer ongoing support and token optimization. With over 50 AI projects delivered and 10 years of enterprise development experience, we guarantee results.
Example healthcare workflow
A medical center wanted to automate patient chart filling. We used Stack AI with integration to the EMR system (Epic). Workflow: request data from EMR → generate a draft note via GPT-4 → check compliance rules (HIPAA) → send for physician approval. The entire cycle took 1 week after compliance review. Documentation errors decreased by 60%.
How We Do It: Tech Stack and Approach
Tech stack: OpenAI GPT-4/4o, Claude 3.5, LLaMA 3, Hugging Face Transformers, LangChain, LangGraph for complex workflows. Vector DB: Qdrant or pgvector for RAG. Deployment: Kubernetes + Triton Inference Server with auto-scaling under load.
In one project, we integrated Stack AI with Salesforce and SharePoint: the AI agent automatically extracted contracts from SharePoint, checked them for SOC2 compliance, and created records in Salesforce. The entire workflow was built in 5 days, including compliance review.
Timelines: 1–2 Weeks to First Workflow
Setup + compliance review + workflow building + integration with corporate systems. Complex scenarios take up to 4 weeks. Pricing is calculated individually based on tasks, typically starting from $15,000 for a basic workflow.
We have 10+ years in enterprise AI and 50+ successful deployments. Request a consultation to assess your project and propose an architecture. Schedule a demo to see the platform work with your data.