Stack AI
Contact SalesEnterprise AI agent orchestration with security, governance, and Asana integration.
By Tanmay Verma, Founder · Last verified 20 Jun 2026
5.8k views
Added 4/28/2026
93/100Safe BetIn short
Stack AI — Enterprise AI agent orchestration with security, governance, and Asana integration. Best for Enterprise IT teams building secure AI agent workflows, Healthcare or financial services with strict compliance needs, Organizations requiring on-prem or VPC deployment. Free to use.
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Editorial Verdict
Best for
Enterprise IT teams building secure AI agent workflowsHealthcare or financial services with strict compliance needsOrganizations requiring on-prem or VPC deploymentTeams already using Asana wanting to embed AI agents
Not ideal for
Solo developers or startups needing a free or low-cost AI toolTeams without compliance or governance requirementsUsers wanting a consumer-grade no-code experienceNon-enterprise scenarios with minimal integration needs
Best for enterprises in regulated sectors that need secure, governed AI agent deployment. Strong compliance certifications (HIPAA, SOC 2, ISO 27001) and flexible deployment options (on-prem, VPC) set it apart. The recent Asana acquisition adds native work management integration, but smaller teams will find the pricing jump from Free to Enterprise prohibitive. Consider alternatives like Dify (open-source) or LangChain if you need a mid-tier option or less vendor lock-in.
Compare with: Stack AI vs Relevance AI, Stack AI vs Agent.ai, Stack AI vs Smithery
Last verified: June 2026
Behind the Verdict
Stack AI excels in environments where compliance and control are non-negotiable. The platform's emphasis on governance—with feature controls, audit logs, and human-in-the-loop oversight—gives IT teams confidence to deploy AI in production. The recent Asana acquisition (May 2026) is a significant strategic move that integrates agentic workflows into Asana's work management platform, potentially reducing friction for existing Asana customers. However, this also raises questions about long-term independence and roadmap alignment. The pricing model is a pain point: there's a chasm between the $0 Free tier (500 runs/month, 1 seat) and a Custom-priced Enterprise tier with no public mid-tier. Teams that exceed Free quotas must enter a sales conversation, which can stall adoption. The platform is LLM-agnostic, supporting models from OpenAI, Anthropic, Meta, Google, Mistral, and Groq, giving you flexibility. But agent reliability is still an industry-wide challenge—multi-step workflows can drift on edge cases. Vendor lock-in is significant: workflows built on Stack AI's canvas don't export to competing platforms like Dify or Flowise without a rebuild. On-prem and VPC deployments are real but come with higher costs and longer timelines. Overall, Stack AI is a strong fit for large enterprises with dedicated AI budgets, compliance mandates, and existing Asana ecosystems. It's overkill for small teams or those who just need a quick chatbot.
Skip Stack AI if Skip Stack AI if you need a free or low-cost AI agent builder for small teams, are not in a regulated industry, or prefer an open-source platform to avoid vendor lock-in.
Latest from Stack AI
Updated yesterdayAcross the latest 5 updates: 1 launch, 2 changelog entries and 2 news mentions.
LaunchBlog·3 days agoNewest
StackAI Partners with E2B to Give Every Agent a Computer
Announced partnership with E2B to enable AI agents to execute code in sandboxed environments.
NewsBlog·25 days ago
StackAI Joins Asana to Build the Future of Agentic Work Management
Asana acquires StackAI; every human-agent workflow now runs in one place, with native Asana integration.
NewsBlog·May 21
Announcing StackAI's Inaugural Customer Advisory Board
Formation of a customer advisory board to guide product development and strategy.
ChangelogChangelog·Apr 16
Mid-April Product Update
Product update with new features and improvements.
ChangelogChangelog·Apr 2
April Product Update
Monthly product update with enhancements to the platform.
Viability Score
93/100
Safe BetHow likely is Stack AI to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
momentum
100
funding runway
70
website health
90
wrapper dependency
100
Last calculated: June 2026
How we score →About Stack AI
Stack AI (StackAI) is an enterprise AI transformation platform that enables IT and enterprise architecture teams to build, deploy, and govern AI agents with enterprise-grade security. Acquired by Asana in May 2026, the platform now integrates agentic workflows with Asana's work management. You can go from a time-consuming process to a working AI agent in minutes using a visual workflow builder. Key capabilities include agentic workflows, human-in-the-loop oversight, LLM-agnostic model deployment (supporting GPT-4o, Claude, Llama, Mistral, Gemini, and more), and 100+ enterprise integrations. Deployment options include multi-tenant SaaS, VPC, and on-premises. The platform holds HIPAA, GDPR, SOC 2 Type II, and ISO 27001 certifications. It is designed for regulated industries such as healthcare, finance, and government, where security, audit trails, and compliance are critical.
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Key Features
- Visual workflow builder for AI agents
- Human-in-the-loop oversight
- LLM-agnostic model deployment
- Multi-tenant, VPC, and on-premises deployment
- Feature controls and audit logs
- Asana work management integration (post-acquisition)
- 100+ enterprise integrations
- Knowledge base upload (PDF, Word, PowerPoint, Drive)
- Custom API endpoints and Slack bot deployment
- Multi-modal inputs (text, image, audio, video)
- Python/JavaScript code nodes
- MCP (Model Context Protocol) server support
- Role-based access control (RBAC) and SSO
- HIPAA, GDPR, SOC 2 Type II, ISO 27001 compliance
- Templates for finance, healthcare, industrial use cases
Real-world workflow fit
Concrete scenarios for the personas Stack AI actually fits — and what changes day-one when you adopt it.
Compliance officer at a healthcare provider
Need to deploy a chatbot that answers employee questions about benefits using internal PDFs and SharePoint docs, while ensuring HIPAA compliance.
Outcome: Upload benefits PDFs to Knowledge Base, connect to SharePoint, deploy the agent behind SSO with audit logging. Human-in-the-loop approved for any PII requests.
IT architect at a financial services firm
Must automate claim processing on a VPC because public cloud is off-limits. Data includes scanned forms and claims databases.
Outcome: Set up VPC deployment, connect to Azure SQL and S3 buckets. Workflow extracts fields from scanned PDFs, runs validation logic in Python nodes, and updates the claims database with human approval for exceptions.
Operations manager using Asana
Want to automate triage of incoming support tickets into Asana tasks with priority levels and AI-generated summaries.
Outcome: Use Asana integration to create tasks, assign to teams, and set due dates. Workflow reads emails from Gmail, classifies urgency via LLM, and creates Asana tasks with summaries and attachments.
Use Cases
- Build a HIPAA-compliant 'chat with our docs' app for healthcare using SharePoint and Confluence sources.
- Automate support ticket triage, draft replies, and update Salesforce with human approval on escalations.
- Deploy an internal RAG assistant on VPC for a financial services firm that bans public SaaS.
- Stand up a customer-facing AI agent with API endpoints and rate-limited access control for a SaaS product.
- Use the Asana integration to create agents that read, update, and create tasks within Asana projects.
- Process insurance claims by extracting data from uploaded PDFs and routing to the appropriate team.
Models Under the Hood
GPT-4oClaude Sonnet 4.5Llama 3.2MistralGeminiGroqCerebrasAzure OpenAIAWS Bedrock
Limitations
Pricing discontinuity is a real friction—there is no public mid-tier between Free and Enterprise. Any team over 500 runs/month enters a sales conversation immediately. Agent reliability is the same gap that affects every platform in this category—multi-step workflows still drift on edge cases. Vendor lock-in is significant: workflows on Stack AI's canvas don't export to Dify or Flowise without a rebuild. Default LLMs are GPT-4o/Claude Sonnet 4.5 via the platform's router; verify support for your specific model (e.g., on-prem LLaMA, Azure OpenAI deployment) during procurement. On-prem and VPC deployments are real but priced and timed accordingly. The Asana acquisition may shift product focus, so long-term roadmap alignment is uncertain.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Annual total
Free
Over 12 months
Effective monthly
Free
Billed monthly
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Stack AI tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0/mo
Ideal for
Solo developer or small team exploring AI agents with low volume (up to 500 runs/month) and basic integration needs.
What this tier adds
Free entry point with 500 runs/month, 2 projects, 1 seat, and community Discord support.
Enterprise
Custom
Ideal for
Large enterprise in regulated industry needing custom runs, unlimited projects, dedicated infrastructure, on-prem/VPC deployment, and compliance certifications.
What this tier adds
Adds custom runs, unlimited projects and seats, dedicated solution engineers, on-prem/VPC deployment, SSO, access control, and priority support.
Integrations
Where the pricing makes sense
The company stage and team size where Stack AI's pricing actually pencils out — and where peers do it cheaper.
Stack AI's pricing targets enterprises with compliance budgets: a $0 Free tier is a limited try-before-you-buy, and Enterprise is custom-priced for scale. There is no mid-tier, so it's not ideal for SMBs. Compared to Dify (open-source, free self-hosted) or LangChain (open-source but requires engineering), Stack AI offers lower operational overhead but at a higher cost floor. For regulated industries, the compliance certifications and deployment flexibility may justify the premium.
Setup time & first value
How long it actually takes to get something useful out of Stack AI — broken out by persona, not the marketing-page minute.
For a simple chatbot using pre-built templates, you can get started within an hour after account creation. The Free tier offers 500 runs/month for experimentation. For a VPC or on-prem deployment, expect 2–4 weeks for infrastructure setup and configuration, including network setup, SSO integration, and compliance reviews. The Academy offers 12 lessons to accelerate onboarding.
Switching to or from Stack AI
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
Migrating in
- →From Dify: Rebuild workflows manually in Stack AI's canvas—export/import not supported.
- →From Flowise: Similar rebuild required; no export path exists.
- →From custom scripts: Adopt Stack AI's visual builder to replace hand-coded agent workflows.
- →From SharePoint/Azure: Use Stack AI's native connectors to reuse existing data sources.
Migrating out
- ↗To Dify or Flowise: Export not supported—must manually recreate workflows.
- ↗To custom code: Export workflows as JSON from Stack AI API (limited) and rebuild in Python.
- ↗To LangChain: No direct migration; use Stack AI's export API to extract logic and reimplement.
Recent material changes
Pricing, brand, ownership, or deprecation changes worth knowing before you commit. Most-recent first.
- •2026-05-27: Asana acquires StackAI to integrate agentic workflows into Asana's work management platform.
- •2026-05-21: StackAI forms its inaugural Customer Advisory Board.
- •2026-04-16: Mid-April product update with new features.
- •2026-04-02: April product update with enhancements.
Resources & Guides
- Documentationstack-ai.com
Overview | StackAI
Full product docs from stack-ai.com
- Documentationstack-ai.com
Platform Overview
Full product docs from stack-ai.com
- Documentationstack-ai.com
Security And Governance
Full product docs from stack-ai.com
- Documentationstack-ai.com
Tutorials And Examples
Full product docs from stack-ai.com
- Resourcestack-ai.com
Ai Agent Use Cases For Legal Teams In 2026
Helpful link from stack-ai.com
- Resourcestack-ai.com
AI Agent Use Cases for Management Consulting | StackAI
AI Agent Use Cases for Management Consulting: From Research to Delivery
Tutorials & Learning
Frequently Asked Questions
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