Enterprise AI workflow automation platform designed for regulated industries with 100+ integrations, compliance features, and no-code agent building
Build AI workflows and agents with a visual interface — connect AI models to your data sources without coding.
Stack AI is an enterprise-focused AI agent platform that transforms complex business processes into automated workflows within minutes. Unlike typical AI builders targeting individual users, Stack AI specifically serves large organizations in regulated industries like finance, healthcare, and insurance that require SOC 2, HIPAA, and GDPR compliance alongside powerful automation capabilities. The platform enables non-technical teams to build sophisticated AI agents that connect disparate enterprise systems - from Salesforce and SharePoint to Snowflake databases - creating unified workflows that eliminate manual data jumping. Stack AI's strength lies in its enterprise-grade security, 100+ native integrations, and intuitive visual workflow builder that feels 'buttery smooth' according to user reviews. The platform offers both cloud and on-premise deployment options, with dedicated solution engineers providing hands-on support for enterprise customers. Key differentiators include conversational AI agent building (you can literally 'talk' to the platform to create workflows), comprehensive compliance certifications, and the ability to 'stack' smaller workflows into complex master automations. Stack AI is trusted by major brands including HP, IBM, Red Bull, and MIT's entrepreneurship center for automating everything from accounts payable processing to academic program management.
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Stack AI offers a visual workflow builder for enterprise AI applications with pre-built templates and data connectors. Well-suited for internal enterprise automation but pricing and flexibility may not satisfy startup teams.
Node-based editor where you drag and connect blocks representing LLM calls, document processing, integrations, and logic steps. Workflows are built visually and tested in real-time within the editor.
Use Case:
Building a document analysis pipeline that ingests PDFs, extracts key information, classifies documents by type, and routes results to different downstream processes.
Extensive library of blocks for document loading (PDF, DOCX, CSV, email), LLM operations (summarize, extract, classify, generate), integrations (Google Drive, Notion, Slack, HubSpot), and logic (conditions, loops, formatters).
Use Case:
Creating an email processing workflow that reads incoming emails, classifies urgency, extracts action items, and posts summaries to Slack channels.
Upload documents that are automatically processed into a searchable knowledge base with vector embeddings. Workflows can query the knowledge base for context-aware responses.
Use Case:
Building a customer support chatbot that answers questions using product documentation, FAQs, and internal knowledge base articles.
Use different LLM providers (OpenAI, Anthropic, Google) for different blocks within the same workflow. Compare model outputs or route tasks to the most appropriate model.
Use Case:
Using Claude for long document analysis blocks and GPT-4 for structured data extraction blocks within the same workflow.
Deploy workflows as REST API endpoints, scheduled automations, embeddable chat widgets, or connected to Slack/Teams bots. The platform handles scaling and execution management.
Use Case:
Deploying a document processing workflow as an API that your CRM calls whenever a new contract is uploaded.
Pre-built templates for common use cases: document Q&A, email classification, data extraction, lead enrichment, and content generation. Templates provide starting points for customization.
Use Case:
Starting with the 'Contract Analysis' template and customizing it to extract your specific contract fields and compliance requirements.
Free
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View Pricing Options →Automate accounts payable processing, credit risk analysis, financial report reviews, and fraud detection workflows with full HIPAA/SOC 2 compliance
Build HIPAA-compliant physician co-pilots, automate SOAP notes, pull patient histories from EHRs, and streamline clinical documentation
Create AI assistants for student services, automate administrative tasks, build personalized tutoring systems, and streamline program management like MIT's entrepreneurship center
Implement AI ticket triage, automated help desk workflows, and IT service management that reduces manual intervention
Automate underwriting decisions, claims analysis, document processing, and compliance checks across multiple insurance products
Automate client onboarding workflows, create content generation pipelines, and build custom AI tools for clients without requiring developer resources
Connect Salesforce, SharePoint, Snowflake, and other enterprise systems to eliminate manual data jumping and create unified business intelligence
Stack AI works with these platforms and services:
We believe in transparent reviews. Here's what Stack AI doesn't handle well:
Stack AI is a no-code platform for building AI workflows and agents. It lets you connect LLMs, data sources, and APIs through a visual interface without writing code.
Stack AI offers a free tier for testing. Paid plans start at $199/month for teams, with enterprise pricing available for larger deployments.
Yes. Stack AI integrates with databases, APIs, Slack, Google Sheets, and most common business tools through pre-built connectors and custom API nodes.
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In 2026, Stack AI expanded its enterprise offering with SOC 2 compliance, added on-premise deployment options for regulated industries, and introduced pre-built AI workflow templates for HR, legal, and customer support automation use cases.
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