Regulated enterprise workflows
Build document and operations agents with access controls, private deployment options, SSO, and contract-level compliance support.
Independent tool overview
StackAI at a glance
StackAI is a visual enterprise platform for building governed AI agents and workflows that connect language models with company documents, databases, applications, code, APIs, and user-facing interfaces.
Visit the official StackAI site ↗
- Best for
- Governed enterprise AI agents and document workflows
- Builder
- Visual no-code canvas with code and API escape hatches
- Model approach
- Multi-provider, bring-your-own-key, and local endpoint support
- Free plan
- 500 runs, 2 projects, and 1 seat per month
- Enterprise pricing
- Custom quote
- Deployment
- Managed cloud, dedicated, VPC, or on-premises options
- Ownership update
- Joined Asana in May 2026
Overview
What StackAI is
StackAI is designed to help organizations build and deploy AI agents without assembling every model, retrieval pipeline, integration, interface, and governance control from scratch. Its visual Workflow Builder connects inputs, language models, knowledge bases, business applications, logic, tools, and outputs on a drag-and-drop canvas.
Non-technical teams can start with templates and managed components, while developers can extend workflows with Python, JavaScript, custom API calls, REST endpoints, local models, and MCP servers. Completed projects can be published as chat interfaces, APIs, browser experiences, Slack or Teams bots, and other internal or customer-facing applications.
StackAI announced in May 2026 that it was joining Asana. The company stated that existing workflows and customer relationships would continue unchanged, and StackAI remains an active standalone platform. Buyers should still ask how the Asana relationship affects the long-term roadmap, commercial agreement, and integration strategy.
Use cases
Who StackAI is best for
The strongest fit depends on the job you need the product to complete, not the size of its feature list.
Knowledge assistants
Connect PDFs, Office files, websites, Google Drive, SharePoint, Notion, and other sources to retrieval-based internal assistants.
Document-heavy operations
Extract, classify, compare, summarize, route, and act on unstructured files in finance, healthcare, legal, procurement, and back-office teams.
Cross-application automation
Use agents and tools to read from or write to systems such as Salesforce, HubSpot, Workday, Jira, Slack, Outlook, databases, and cloud storage.
Mixed technical teams
Let business users assemble workflows visually while developers add Python, JavaScript, APIs, custom tools, and private models where needed.
Capabilities
Core StackAI features
Visual Workflow Builder
Connects model, data, logic, tool, and interface nodes on a drag-and-drop canvas with an in-builder assistant.
Multi-model support
Works with models from OpenAI, Anthropic, Google, Meta, xAI, Mistral, Azure, Bedrock, and other hosted or local endpoints.
Knowledge bases and document readers
Ingests websites, uploaded files, cloud drives, and business repositories, with readers for PDF, Word, PowerPoint, and other formats.
Agents and tool calling
Lets LLM nodes select tools, take actions, route requests, and use custom functions or connected applications.
Code and API nodes
Adds Python, JavaScript, HTTP requests, custom APIs, data processing, and bespoke logic when visual components are insufficient.
MCP connectivity
Connects workflows to third-party Model Context Protocol servers in addition to StackAI's built-in integrations.
Publishing surfaces
Deploys projects through hosted interfaces, REST APIs, custom domains, Slack, Microsoft Teams, and browser extensions.
Enterprise governance
Offers SSO, access controls, model-provider governance, dedicated infrastructure, VPC or on-premises deployment, analytics, and support.
Bring-your-own models and keys
Administrators can set default provider connections, disable StackAI-managed keys, restrict providers, or connect a local LLM endpoint.
Process
How the StackAI workflow works
Step 1
Choose a bounded use case
Define the business outcome, approved data, allowed actions, human owner, risk level, and measurable success criteria.
Step 2
Connect data and models
Add document loaders, databases, applications, model providers, credentials, and retrieval settings with least-privilege access.
Step 3
Build the workflow
Arrange prompts, agents, routes, tools, code, APIs, templates, and outputs on the visual canvas.
Step 4
Test with real cases
Run representative documents and user requests, inspect intermediate outputs, measure errors, and add fallbacks or human approval.
Step 5
Publish an interface
Expose the approved version through a hosted UI, internal bot, custom domain, API, or application integration.
Step 6
Govern and improve
Monitor runs, cost, quality, access, model changes, and user feedback; version workflows and revalidate high-risk changes.
Cost
StackAI pricing and free plan
StackAI publishes two current plans: Free at $0 and Enterprise at a custom price. Free includes 500 runs per month, two projects, one seat, and community Discord support. Enterprise customizes runs and seats, removes the project cap, and adds the full data-loader set, deployment choices, security controls, and dedicated support. Model or infrastructure usage terms should be confirmed in the quote.
Free
$0/month
A single-user workspace for testing StackAI and building small proofs of concept.
- 500 runs per month
- 2 projects
- 1 seat
- Community support on Discord
Enterprise
Custom quote
Custom capacity, governance, infrastructure, and support for organizational deployments.
- Custom run and seat allowances
- Unlimited projects
- All features and data loaders
- Dedicated infrastructure and solution engineers
- On-premises or VPC deployment
- Access control and SSO
- SOC 2, HIPAA, and GDPR support claims
Pricing checked . Check current pricing at the source ↗
Assessment
StackAI strengths and limitations
Where it stands out
- Balances a visual builder for business teams with code, API, model, and MCP extension points for developers.
- Broad data and application connectivity supports real operational workflows rather than isolated chatbots.
- Multi-provider and local-model controls reduce dependence on one LLM vendor.
- Private, VPC, on-premises, and dedicated deployment options address stricter enterprise requirements.
- Agents, retrieval, routing, data processing, and publishing live in one platform.
- A usable free plan allows teams to prototype before entering an enterprise sales process.
- Provider governance can restrict models and require organization-owned credentials.
What to consider
- There is no self-serve paid team tier between the small Free plan and a custom Enterprise contract.
- Enterprise total cost is difficult to compare because run capacity, seats, models, infrastructure, support, and deployment terms are quote-based.
- Complex visual workflows can become difficult to debug, version, test, and govern without disciplined engineering practices.
- Connector availability does not guarantee that every action, permission model, or edge case in a business system is supported.
- AI agents still need evaluation, human approval, auditability, and least-privilege access before taking consequential actions.
- Security and compliance labels such as HIPAA or GDPR do not automatically make a customer's specific workflow compliant; contracts, configuration, data flow, and operating procedures matter.
- The Asana acquisition introduces roadmap and product-positioning questions that prospective buyers should address during procurement.
Compare
StackAI alternatives
The right alternative depends on the specific output, workflow, controls and budget your project requires.
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Zapier Agents
An agent layer built on Zapier's broad application ecosystem, useful when SaaS connectivity matters more than private deployment.
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StackAI FAQs
What is StackAI?
StackAI is a visual platform for building enterprise AI agents and workflows that connect models to company data, applications, code, tools, and user interfaces.
Is StackAI still active after joining Asana?
Yes. StackAI announced in May 2026 that it was joining Asana and explicitly said the change did not alter the platform, existing workflows, or customer collaboration. The standalone product, documentation, and pricing remain active.
How much does StackAI cost?
The Free plan is $0 with 500 monthly runs, two projects, and one seat. Enterprise pricing is custom and depends on capacity, users, deployment, integrations, security, and support.
What counts as a run?
A run is an execution of a StackAI project or workflow. Because projects can contain very different numbers of model, retrieval, tool, and code steps, buyers should ask how complex executions and retries affect their allowance and model costs.
Can StackAI use different AI models?
Yes. It supports multiple commercial providers, Azure and AWS services, specialized model platforms, and local models through compatible endpoints. Administrators can enable, disable, and set default provider connections.
Can StackAI be self-hosted?
Enterprise materials list on-premises and VPC deployment as options, along with dedicated infrastructure. Architecture, responsibility boundaries, upgrades, and support terms need to be confirmed in the quote.
Does StackAI support private company documents?
Yes. It can build knowledge bases from uploaded documents, websites, Google Drive, SharePoint, Notion, and other sources. Teams still need appropriate permissions, retention rules, redaction, and retrieval testing.
Is StackAI no-code?
The main workflow experience is no-code, but it also supports Python, JavaScript, custom APIs, custom tools, and MCP servers for advanced requirements.
Is StackAI HIPAA compliant?
StackAI markets Enterprise support for HIPAA and offers BAA-related controls. Actual compliance depends on an executed agreement, eligible deployment, configuration, connected vendors, access controls, logging, and the customer's operating practices.
Bottom line
Our StackAI verdict
StackAI is a strong fit for organizations that need a governed bridge between no-code agent building and enterprise data, models, deployment, and access controls. Its free tier is useful for validation, but meaningful multi-user production use quickly becomes a custom procurement decision. The best evaluation is a narrowly scoped proof of value using real documents and permissions, with cost, accuracy, audit, and human-approval requirements agreed before expansion.
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