Stack AI
StackAI is an enterprise AI platform for building and orchestrating AI agents with security, governance, and 100+ integrations. Trusted by IT teams.
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About Stack AI
Stack AI Review 2026
Stack AI positions itself as an enterprise-grade platform for building AI agents and internal automations without code. Founded in 2022 by MIT alumni and a Y Combinator W23 graduate, the platform targets businesses that need to connect AI workflows to their existing enterprise stack. For decision-makers in 2026, it represents a middle ground between custom development and consumer-grade chatbot builders, with a focus on governance and compliance.
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Overall Rating 4.2/5 Best For Enterprise operations teams needing governed AI automations across internal systems Pricing Free plan with 500 runs/month; Enterprise custom pricing Free Plan Yes Ease of Use 4.0/5 Business Value 4.5/5
What Is Stack AI and Why Does It Matter?
StackAI, now part of Asana, is an enterprise AI transformation platform that enables IT teams to orchestrate AI agents with enterprise-grade security. It supports agentic workflows across various use cases like claim processing, support desk, IT ticket triage, due diligence, and RFP drafting. The platform offers deployment options including multi-tenant, VPC, and on-premise, and is LLM agnostic, allowing the best model per task. It integrates with 100+ enterprise systems and holds certifications including HIPAA, GDPR, SOC 2 Type II, and ISO 27001. Pricing includes a free plan with 500 runs per month, 2 projects, and 1 seat, and a custom enterprise plan with unlimited projects, dedicated infrastructure, SSO, and compliance. StackAI's acquisition by Asana positions it to build the future of agentic work management.
Who Should Use Stack AI?
- IT and Enterprise Architecture teams StackAI is explicitly designed for IT and enterprise architecture teams to orchestrate, govern, and scale AI across the entire enterprise, with features like feature controls, audit logs, and SSO.
- Legal teams Legal teams can use StackAI to redline contracts, review data room evidence, and accelerate due diligence, as highlighted in the solutions section.
- Risk and Compliance teams Risk and compliance teams can strengthen all three lines of defense, from oversight to KYC, with AI, and the platform supports governance, validation, and oversight in highly regulated environments.
- Finance teams Finance teams can seamlessly draft memos, reconcile statements, and execute deep financial research, with example workflows like claim processing and financial report summarization.
Professional reality: While StackAI offers a free plan with 500 runs per month, the enterprise features that matter for production (custom runs, unlimited projects, dedicated infrastructure, on-prem/VPC deployment, SSO, and compliance certifications like SOC 2, HIPAA, and GDPR) are only available on a custom-priced Enterprise plan, so smaller teams may outgrow the free tier quickly.
Stack AI Features That Drive Results
Enterprise AI Transformation Platform
StackAI is built for IT teams to orchestrate, govern, and scale AI across the entire enterprise, with agentic workflows that turn time-consuming processes into working agents in minutes.
Deploy AI agents across your organization with governance and control.
Deploy Anywhere
StackAI supports multi-tenant, VPC, and on-premise deployment options, giving enterprises flexibility in how they run AI workloads.
Choose the deployment model that fits your security and infrastructure needs.
Enterprise-Grade Security & Certifications
StackAI is certified with HIPAA, GDPR, SOC 2 Type II, and ISO 27001, ensuring sensitive data is protected across industries.
Meet regulatory and compliance requirements with confidence.
100+ Enterprise Integrations
AI agents built on StackAI can read, write, and execute tasks within your existing systems, from Google Drive to Slack and more.
Connect AI agents to your current tech stack without friction.
Security and Governance Features
StackAI includes feature controls, audit logs, and human-in-the-loop oversight for critical decision points, ensuring responsible AI use.
Maintain control and transparency over AI operations.
LLM Agnostic
Deploy the best-performing model for every specific task, with support for leading models like Anthropic's Claude Sonnet 4.5.
Optimize performance and cost by choosing the right model per use case.
Stack AI Pricing in 2026
StackAI offers flexible pricing for teams of all sizes, with a Free plan and a customizable Enterprise plan. The Free plan includes 500 runs per month, 2 projects, and 1 seat, with community support on Discord. The Enterprise plan provides custom runs, unlimited projects and seats, all features and data loaders, dedicated infrastructure, solution engineers, on-premise or VPC deployment, access control, SSO, and SOC 2, HIPAA & GDPR compliance. Get a custom quote for your enterprise needs.
| Plan | Price | What You Get |
|---|
Visit the official Stack AI website to check the latest pricing and plans.
Where Stack AI Is Strong / Where It Needs Care
- Enterprise-grade governanceThe combination of SOC 2, HIPAA, GDPR, PII redaction, and RBAC is rare in the no-code AI space and is a primary reason enterprises choose it.
- Deep system integrationsNative connectors for SharePoint, Salesforce, and Workday mean automations can live where your data already is.
- Non-technical accessibilityThe visual builder genuinely empowers business teams to build and modify their own AI workflows without coding.
- Model flexibilitySupport for all major LLMs with bring-your-own-key prevents lock-in and allows for cost optimization.
- Not for customer-facing chatbotsThe platform is optimized for internal use cases; building a public-facing support bot is possible but not its core strength.
- Complexity for simple tasksFor a simple Q&A bot or a single automation, the platform's feature set and learning curve are overkill compared to simpler tools.
- Costs can scaleWhile the base plan is affordable, token costs and enterprise features can add up quickly for large-scale deployments.
- Professional RealityBuyers should be clear that this is an internal automation platform, not a customer engagement tool, and should evaluate it only if they have a concrete, complex workflow to automate.
Real-World Use Cases
Claim Processing
StackAI's agentic workflows can underwrite and reconcile claims, pulling key financial indicators from uploaded reports and generating summaries using models like Claude Sonnet 4.5.
Support Desk
AI agents built on StackAI provide instant answers to customer inquiries, grounded in official policies and knowledge bases, and can triage IT tickets and route them intelligently.
Due Diligence
StackAI agents can scrape sites and filings to accelerate due diligence, helping legal teams redline contracts, review data room evidence, and speed up document review.
RFP Drafting
Business operations teams can instantly complete RFPs and extract insights from CRM data, while finance teams draft memos, reconcile statements, and execute deep financial research.
How to Get Started With Stack AI
Sign up for the free tier and create your first project to explore the interface.
Connect a core business system like SharePoint or Salesforce to the platform.
Use the visual builder to design a simple workflow, such as an internal Q&A bot over a specific document set.
Test the workflow with your team, then review usage and costs before scaling to more complex automations.
Is Stack AI Worth It in 2026?
For enterprises with complex internal processes and strict compliance needs, Stack AI is a worthwhile investment in 2026. Its strength is not in raw AI capability but in its governance, integrations, and accessibility for non-technical teams. The free tier allows for thorough evaluation, and the bring-your-own-key model offers cost control. The main limitation is its focus—it is not a general-purpose chatbot tool. If your business needs to automate internal workflows involving sensitive data across multiple systems, Stack AI delivers significant value. For simpler needs, a more basic tool would be more cost-effective.
Stack AI vs the Competition
| Decision Area | Stack AI | When Another Option Wins |
|---|---|---|
| Deployment options | StackAI supports multi-tenant, VPC, and on-premise deployment, giving enterprises full control over where their AI agents run. | If you need a purely cloud-based, fully managed solution with zero infrastructure management, other platforms like Microsoft Power Apps or Mendix may be simpler to start with. |
| Security and compliance | StackAI is certified for HIPAA, GDPR, SOC 2 Type II, and ISO 27001, with features like access control, SSO, and audit logs. | If your organization only requires basic security and doesn't need enterprise-grade compliance certifications, lighter tools like Bubble or Glide might suffice. |
| Agentic workflow capabilities | StackAI is purpose-built for agentic workflows, including human-in-the-loop oversight, LLM-agnostic model selection, and a full agentic development lifecycle. | If you're building standard CRUD apps or simple internal tools without AI agents, traditional no-code platforms like OutSystems or Mendix may be more straightforward. |
| Integrations | StackAI offers 100+ enterprise integrations, allowing AI agents to read, write, and execute tasks within your existing systems. | If you need a specific niche integration that StackAI doesn't cover, other platforms with broader app marketplaces (e.g., Mendix) might have it. |
| Pricing model | StackAI has a free plan with 500 runs/month and 2 projects, and a custom enterprise plan with unlimited projects and dedicated support. | If you need a predictable per-user or per-app pricing model without run-based limits, platforms like Bubble or Glide might be more cost-predictable for small teams. |
Stack AI vs Microsoft Power Apps
Microsoft Power Apps is a low-code platform for building business apps that integrate tightly with the Microsoft ecosystem. It's strong for rapid app development but lacks StackAI's focus on agentic AI workflows and enterprise AI governance.
Choose Stack AI if: You need to build AI agents that can autonomously execute tasks across your enterprise systems, with built-in governance, audit logs, and human-in-the-loop oversight. Choose Microsoft Power Apps if: You're already heavily invested in Microsoft 365 and need to quickly build simple forms and business apps without AI capabilities.
Stack AI vs Mendix
Mendix is a low-code application development platform that enables rapid creation of web and mobile apps. It offers strong collaboration features but doesn't specialize in AI agent orchestration or LLM-agnostic workflows.
Choose Stack AI if: You want a platform that combines no-code app building with advanced AI agent capabilities, including RAG, multi-model support, and enterprise security certifications. Choose Mendix if: You need a mature low-code platform with a large marketplace and strong on-premise deployment options for traditional enterprise applications.
Frequently Asked Questions
What is StackAI?
StackAI is an enterprise AI transformation platform that enables IT teams to orchestrate, govern, and scale AI across the entire organization. It supports agentic workflows, deployment options (multi-tenant, VPC, on-premise), security and governance features, human-in-the-loop oversight, and is LLM agnostic, allowing the best-performing model for each task.
What integrations does StackAI offer?
StackAI provides 100+ enterprise integrations, allowing AI agents to read, write, and execute tasks within existing systems. The platform supports data loaders for web scraping, file upload, Google Drive, Notion, and document readers for PDF, Word, and PowerPoint, among others.
What security certifications does StackAI hold?
StackAI is certified with HIPAA for sensitive health information, GDPR for personal data protection, SOC 2 Type II for enterprise-grade data protection, and ISO 27001 for information security management. These certifications help protect sensitive data across industries.
What are the pricing plans for StackAI?
StackAI offers a free plan at $0 per month with 500 runs per month, 2 projects, and 1 seat, plus community support on Discord. The Enterprise plan is custom-priced and includes unlimited projects, custom seats, dedicated infrastructure, on-prem or VPC deployment, SSO, and compliance with SOC 2, HIPAA, and GDPR.
What are common use cases for StackAI?
Common use cases include claim processing, support desk instant answers, IT ticket triage, due diligence (scraping sites and filings), RFP drafting, and financial report summarization. The platform is designed for legal, risk and compliance, finance, customer service, ITSM, and business operations teams.
Key Takeaways
- Stack AI is best for enterprise operations teams who need governed AI automations across internal systems
- Pricing starts with a free tier; paid plans begin at $30/month with LLM token costs passed through
- Biggest strength is enterprise-grade compliance and deep integrations — main limitation is its focus on internal use cases only
Best Stack AI Alternatives
- Zapier — Better for simple, broad app-to-app integrations without the need for AI governance or RAG.
- Flowise AI — Better for development teams that want an open-source, self-hosted platform with maximum customization control.
- N8N — A strong alternative for technical teams needing a self-hosted workflow automation tool with a large community.
Bottom Line: For enterprises with complex internal workflows and strict compliance requirements, Stack AI is a definitive investment in 2026, delivering a governed and accessible platform for AI agent deployment.
Last Reviewed: June 2026 | Reviewed by theaitoolsbox.com editorial team
Stack AI
🧩 No Code / Low Code
Pricing Plans
1st Free Subscription
Various plans available