Stack AI Review (2026): Pricing, Features, Pros, Cons and Alternatives

A plain review of Stack AI in 2026: what it is, what the Free and Enterprise plans include, where it wins, where it falls short, and which alternative fits each job.

Stack AI Review (2026): Pricing, Features, Pros, Cons and Alternatives
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Feb 7, 2026 06:14 AM
Stack AI is an enterprise platform for building, deploying, and governing AI agents with a no-code workflow builder, and it fits IT and operations teams in regulated industries that automate multi-step internal processes. It has a Free plan with 500 runs a month and one paid plan, Enterprise, sold by custom quote. Teams that only need a chatbot that answers customer questions from their own content can launch faster on a tool with a published price.
TL;DR
  • Stack AI (the vendor writes StackAI) is a drag-and-drop builder for AI agents and workflows. Asana acquired it in May 2026, and it still runs as its own product and brand.
  • Pricing has two plans. Free costs $0 for 500 runs a month, 2 projects, and 1 seat. Enterprise is a custom quote, and no paid price is published.
  • Enterprise holds the controls most regulated buyers need: SSO, access control, on-premise and VPC deployment, and a HIPAA BAA. None of them are on Free.
  • Stack AI holds 4.5 out of 5 on G2 from 39 reviews. Reviewers praise ease of use and integrations, and some report usage limits and a learning curve.
  • Stack AI is a workflow layer. If the job is customer service answers from your own content, SiteGPT does that from $39 a month billed yearly. It has no workflow builder and no free plan.
Aspect
Verdict
Best for
IT and operations teams in regulated industries that automate multi-step internal processes
Free plan
Yes. 500 runs a month, 2 projects, 1 seat, community support on Discord
Paid pricing
Enterprise only, by custom quote. No published price
Biggest strength
A no-code workflow builder with 300+ integrations and on-premise deployment
Biggest limitation
No self-serve paid plan. Production use starts with a sales conversation
Compliance
SOC 2 Type II, HIPAA, GDPR, and ISO 27001 listed. BAA on Enterprise
Owner
Asana, since May 2026
G2 rating
4.5 out of 5 from 39 reviews
Summary graphic titled Stack AI at a glance with four cards: what it is, what it costs, where it wins, and where it costs you
Summary graphic titled Stack AI at a glance with four cards: what it is, what it costs, where it wins, and where it costs you

What is Stack AI?

Stack AI is an enterprise platform for building, deploying, and governing AI agents. Its documentation says IT and operations teams use it to deploy internal applications that automate business processes.
Stack AI homepage with the headline The Enterprise AI Agent Factory and a banner announcing the Asana acquisition
Stack AI homepage with the headline The Enterprise AI Agent Factory and a banner announcing the Asana acquisition
The vendor spells the name StackAI. Most people search for it as Stack AI, and both names refer to the same product.
The use cases in the documentation range from a chatbot that retrieves information from Microsoft SharePoint to an automation that researches a company and drafts an investment memo. Stack AI says its customers include banks, hospitals, and defense contractors.
Stack AI sits on the workflow side of the AI tools market. A content-trained chatbot answers questions from your documents. A workflow platform runs a process with several steps, tools, and approvals. The difference between those two levels is covered in AI agent vs chatbot.

Who owns Stack AI?

Asana owns Stack AI. The company announced the acquisition on May 27, 2026, in a letter signed by its two co-founders.
The announcement makes four commitments to existing customers:
  • Stack AI continues to operate as its own product and brand.
  • Existing workflows keep running as they are.
  • Workflows do not have to connect to Asana.
  • On-premise and VPC deployments are not affected.
G2 now lists the product as StackAI by Asana.

How does Stack AI work?

Stack AI works in four steps:
  1. Start a project. Open a blank project or pick a template such as Chat with Knowledge Base.
  1. Build the workflow. Drag nodes onto a canvas and connect them. Nodes cover inputs, AI models, knowledge bases, tools, logic, and outputs.
  1. Pick an interface. Choose a form, a chat assistant, a website chatbot, a Slack app, or an API in the Export view.
  1. Publish and monitor. Publish the workflow, then track runs, tokens, and conversations in the Analytics and Manager views.
Answers from your own documents come from a Knowledge Base node. It handles indexing and retrieval, the pattern known as retrieval-augmented generation (RAG). The documentation says its default settings fit about 90% of use cases.

What features does Stack AI offer?

Stack AI offers five feature groups that matter for a buying decision: the workflow builder, knowledge bases and integrations, interfaces, governance, and deployment options.

Workflow builder

The Stack AI workflow builder is a 2D canvas with a sidebar of nodes, described in the platform overview. You connect nodes to define what the agent reads, which model it calls, which tools it can use, and what it returns.
The pricing page lists Python and JavaScript code nodes on both plans. The platform is also model-agnostic. The integration catalog includes Anthropic models and models hosted on AWS Bedrock, among others.
An Evaluator view tests an agent on a batch of inputs from a CSV file. A second model can grade each output or compare it with a reference answer.
This is where Stack AI is the stronger pick. A content-trained tool such as SiteGPT has no workflow canvas. If a process must read a document, check a record, ask a person to approve, and write the result to another system, Stack AI is built for that job. If the workflow is a customer conversation on chat or phone, the Voiceflow pricing and review covers a builder made for that.

Knowledge bases and integrations

Stack AI connects agents to more than 300 integrations, according to its integrations catalog. It also supports MCP servers when a team needs a custom tool. The catalog groups integrations by type.
Category
Examples named by Stack AI
Enterprise systems
SharePoint, SAP, Workday, Salesforce
Data and storage
AWS S3, AWS Athena, AWS RDS, Azure Blob Storage, Snowflake
Project and work tools
Asana, Airtable, Atlassian (Jira and Confluence), Miro
AI models
Anthropic, AWS Bedrock
Knowledge base sources
Document upload, web scraping, Google Drive, Notion
Integrations do not all support the same actions. Stack AI's own guidance is to check the operations listed on each integration page before you design a workflow around one.

Interfaces: chat, forms, website chatbot, Slack, and API

Stack AI offers six ways to put an agent in front of users, listed in its interface documentation:
Interface
What it does
Typical use
Form
A web form that takes inputs and returns a result
Business users running a repeatable task
Chat Assistant
A hosted chat page with message history
Internal knowledge assistants
Website Chatbot
A chat icon embedded with HTML or React code
Visitors on a public website
Slack App
A bot that team members message in Slack
Internal team tools
API
A REST endpoint that runs a published workflow
Embedding the agent in your own product
Batch Run
Runs the workflow over a dataset of inputs
Bulk document processing
The documentation also mentions a Microsoft Teams integration, a voice interface, and deployment through WhatsApp or SMS.
Stack AI can serve customers directly. Its customer service page describes Penny, a public-facing assistant the YMCA Retirement Fund built to answer participant questions.
One plan limit matters here. The plan comparison lists API Access as an Enterprise feature, so the Free plan is for testing interfaces Stack AI hosts.

Security, governance, and compliance

Stack AI lists four certifications on its security page: SOC 2 Type II, HIPAA, GDPR, and ISO 27001. The same page lists these controls:
  • AES-256 encryption at rest and TLS 1.3 in transit
  • Customer-controlled data retention
  • Data processing addendums that bar AI model providers from training on your data
  • Custom SSO through SAML
  • Vulnerability scans tracked to resolution
Governance features go further than login. The documentation describes role-based access control over who can edit knowledge bases or publish workflows, approval flows before an agent goes live, and version control of every change.
The plan matters again. The pricing page lists SSO, access control, and a BAA under Enterprise only. A healthcare team cannot put patient data through the Free plan under a BAA. How BAA terms differ across chatbot vendors is covered in the guide to HIPAA-compliant AI chatbots.

Deployment options

Stack AI offers four deployment models, from multi-tenant cloud to air-gapped on-premise. The on-premise documentation says the platform can run inside AWS, GCP, Azure, or your own servers, and can orchestrate local AI models.
On-premise and VPC deployment are Enterprise features. Enterprise customers also get forward-deployed engineers and weekly co-building sessions, according to the documentation.

How much does Stack AI cost in 2026?

Stack AI costs $0 a month on the Free plan and a custom amount on Enterprise. The Stack AI pricing page publishes no price for Enterprise and lists no plan between the two.
Plan
Price
Runs a month
Projects
Seats
Support
Free
$0 a month
500
2
1
Community support on Discord
Enterprise
Custom quote
Custom
Unlimited
Custom
Dedicated support and solution engineers

What counts as a Stack AI run?

A Stack AI run is one execution of a workflow. The pricing page defines it as "the execution of a workflow instance."
The 500 free runs work out to about 16 runs a day across a 30-day month, or about 22 a day across 22 working days. That is enough to build and test a workflow. It is thin for a tool a whole team uses every day.

What does the Stack AI Free plan include?

The Stack AI Free plan includes the core builder. The plan comparison shows agents, flows, storage, vision, speech, code nodes, data loaders, knowledge bases, and the Slack bot on both plans.
The Free plan leaves out the features a production deployment usually needs.
Feature
Free
Enterprise
Runs a month
500
Custom
Team members
1
Custom
Projects
2
Unlimited
Agents, flows, knowledge bases, code nodes
Yes
Yes
API access
No
Yes
Analytics
No
Yes
Custom domain
No
Yes
Email, priority, and dedicated support
No
Yes
SSO and access control
No
Yes
On-premise and VPC deployment
No
Yes
BAA
No
Yes
Comparison graphic of Stack AI plans: features not on the Free plan, such as API access, analytics, SSO, and a BAA, next to what Enterprise includes
Comparison graphic of Stack AI plans: features not on the Free plan, such as API access, analytics, SSO, and a BAA, next to what Enterprise includes

How do you budget for Stack AI Enterprise?

You budget for Stack AI Enterprise by getting a quote, because the pricing page gives no number to start from. The plan card says runs and seats are both custom, so the quote depends on at least four inputs:
  • How many workflow runs you expect each month
  • How many people will build or use agents
  • Whether you need cloud, VPC, or on-premise deployment
  • How much help you want from Stack AI's engineers
Bring those four numbers to the first call. Ask what happens when you pass the run allowance, since the pricing page does not say.
How published prices compare across chatbot vendors is in the AI chatbot pricing comparison.

What are Stack AI's pros and cons?

Pros

  • No-code workflow builder. Non-developers can connect models, knowledge bases, and tools on a canvas.
  • Code when you need it. Python and JavaScript nodes are listed on both plans.
  • 300+ integrations. The catalog covers enterprise systems, data stores, and AI model providers, plus MCP servers.
  • Several interfaces from one workflow. The same agent can ship as a form, a chat page, a website chatbot, a Slack app, or an API.
  • Deployment choice. Multi-tenant cloud, VPC, and on-premise are all offered, including air-gapped setups.
  • Governance built in. Role-based access, approval flows, version control, and audit logs are part of the platform.
  • A free plan to test on. 500 runs a month cost nothing.
  • Hands-on help. Enterprise customers work with forward-deployed engineers.

Cons

  • No published paid price. You cannot estimate cost without a sales conversation.
  • No plan between Free and Enterprise. A small team that outgrows 500 runs has one option.
  • The Free plan is a sandbox. It has 1 seat and no API access, analytics, custom domain, or SSO.
  • Compliance controls sit on Enterprise. SSO, access control, and the BAA are not on Free.
  • A learning curve for advanced work. G2 reviewers mention it 6 times.
  • Usage limits. G2 reviewers mention them 7 times.
  • You build the experience yourself. A customer service bot on Stack AI is a workflow someone has to design, test, and maintain.

What do users say about Stack AI?

Stack AI holds 4.5 out of 5 on G2 from 39 reviews. 30 of the 39 are five-star reviews.
G2 tags the themes that reviewers mention most often.
Theme on G2
Mentions
Type
Ease of use
24
Praise
Integrations
10
Praise
Ease of creation
9
Praise
Usage limitations
7
Complaint
Learning curve
6
Complaint
Limited features
3
Complaint
G2's summary of the reviews says users praise the drag-and-drop builder for letting non-coders build complex workflows quickly. The same summary notes a learning curve for more advanced features.
39 reviews is a small base. Read the individual reviews from companies of your size before you rely on the average.

Who should use Stack AI?

Stack AI is a good fit if you:
  • Automate internal processes with several steps, systems, and approvals
  • Work in a regulated industry and need on-premise or VPC deployment
  • Have an IT or operations team that will own the agents
  • Want one platform for many use cases across departments
  • Can buy through a sales process and a custom contract
Stack AI is a poor fit if you:
  • Need a published monthly price before you commit
  • Want a website chatbot answering from your help content this week
  • Have no one to design and maintain workflows
  • Need more than 500 runs a month but are too small for an enterprise contract

The stack: which tool does which job

Stack AI and a customer service chatbot do different jobs, and many companies run both. The table shows where each tool sits.
Layer
Job
Tool
Workflow and agent orchestration
Run multi-step processes across business systems, with human review where it matters
Stack AI
Customer-facing answers
Answer customer questions from your website, help center, and files, and escalate to a person
Human queue
Tickets and live agents for the conversations the AI hands over
Your helpdesk, such as Zendesk
Systems of record
Hold the customer, finance, and document data the workflows act on
Salesforce, SAP, Workday, SharePoint
SiteGPT is the knowledge-trained answer layer in this stack. It trains on 12+ content sources, including websites, files, YouTube, Google Drive, Notion, and help centers. Human escalation is on every plan.
Its limits are plain. SiteGPT has no workflow builder, no on-premise deployment, and no free plan. It does not run back-office processes. It connects to Zendesk on the Scale plan and above, and it has no chat integrations on Starter.
Stack AI can also serve as the customer-facing layer through its Website Chatbot interface. The stack makes sense when the service team wants answers live without building a workflow, or when the Stack AI contract covers internal use only.

What are the best Stack AI alternatives?

The best Stack AI alternative depends on the job you need done. No tool here is best overall. Each row names the case it fits.
The ranking uses three criteria: how close the tool is to Stack AI's main job of workflow automation, whether it publishes a price, and how much building it asks of you.
#
Tool
Best for
Starting price
Free option
Main trade-off
1
Technical teams that want workflow automation with published plans
Published per-execution plans, listed in euros. The entry plan includes 2,500 executions a month
Self-hosted Community Edition on GitHub. Cloud trial with no card
Aimed at technical teams. SSO starts on the Business plan
2
The knowledge-trained customer service answer layer
$59 a month, or $39 a month billed yearly
7-day trial, card required
No workflow builder and no free plan
3
Custom conversation flows with code on messaging channels
$150 a month billed annually
Free plan, 100 conversations
Extra conversations cost $65 per 100 on Plus
4
Small teams that want a content-trained agent with a free tier
$40 a month on monthly billing
Free plan, 50 message credits a month
Removing branding costs $99 a month
n8n comes first because it is the closest match for the reason most people look at Stack AI: automating multi-step work across systems. SiteGPT is second because it solves a different job, and it only fits if that job is yours. If you want a similar no-code agent platform with WhatsApp, Telegram, and LINE channels and usage billed in credits, read the GPTBots review.
More builders with visual editors are compared in the guide to no-code chatbot builders. Larger customer service platforms are covered in enterprise AI chatbot solutions.

Stack AI vs SiteGPT: which one fits?

Stack AI and SiteGPT solve different problems. Stack AI builds agents and workflows for internal processes. SiteGPT is a chatbot trained on your own content for customer service and lead generation.
Criterion
Stack AI
SiteGPT
Core job
Build and govern AI workflows
Answer questions from your content
Workflow builder
Yes, visual canvas plus code nodes
No
Setup
Design, test, and publish a workflow
Add content sources and embed the widget
Content sources
Document upload, web scraping, Google Drive, Notion, and 300+ integrations
12+ sources: websites, sitemaps, files, YouTube, GitHub, Google Drive, Notion, Dropbox, OneDrive, SharePoint, Box, help centers
Deployment
Cloud, VPC, or on-premise
Cloud only
Free plan
Yes, 500 runs a month
No. 7-day trial with a card
Paid pricing
Custom quote
$59, $129, or $429 a month on monthly billing. $39, $79, or $259 a month billed yearly
Billing unit
Workflow runs
Messages
Human handoff
Human review steps you design into a workflow
Escalation to a person on all plans
HIPAA BAA
Enterprise
Enterprise only
Choose Stack AI when the AI must act inside your systems, follow an approval path, or run inside your own infrastructure.
Choose SiteGPT when the job is answering customers from content you already have. Annual billing lowers each plan's yearly cost:
SiteGPT plan
12 months on monthly billing
12 months on yearly billing
Saving
Messages a month
Starter
$708
$468
$240 (34%)
4,000 GPT-4.1-mini messages
Growth
$1,548
$948
$600 (39%)
10,000 GPT-4.1-mini messages
Scale
$5,148
$3,108
$2,040 (40%)
40,000 GPT-4.1-mini messages
The two tools count usage in different units. Stack AI counts workflow runs and SiteGPT counts messages. Estimate your own volume in both units before you compare.
A HIPAA BAA and a signed DPA are available on the SiteGPT Enterprise plan only, which has custom pricing. The SiteGPT HIPAA page has the program details.

How to choose between Stack AI and its alternatives

If you need...
Pick...
Why
Multi-step internal workflows with approvals
Stack AI
The builder, integrations, and human review steps are made for it
On-premise or air-gapped deployment with vendor help
Stack AI
Enterprise includes on-premise deployment and solution engineers
Workflow automation with a published price
n8n
Plans and execution limits are listed on its pricing page
Workflow automation you host and run yourself for free
n8n
A self-hosted Community Edition is on GitHub
Customer service answers from your own content, live this week
SiteGPT
It trains on existing content with no workflow to build
A flat, published bill for a website chatbot
SiteGPT
Plans have fixed prices and message limits
Scripted conversation flows on WhatsApp or other messaging channels
Botpress
Its Studio combines visual flows with code
A free tier for a content-trained agent
Chatbase
The free plan includes 50 message credits a month
Decision tree with three questions: what job the AI needs to do, whether you need a published price, and whether the software must run inside your own infrastructure
Decision tree with three questions: what job the AI needs to do, whether you need a published price, and whether the software must run inside your own infrastructure

Frequently asked questions

Basics

What is Stack AI?

Stack AI is an enterprise platform for building, deploying, and governing AI agents. It combines a no-code workflow builder, knowledge bases, 300+ integrations, and interfaces such as chat, forms, and an API.

What is Stack AI used for?

Stack AI is used to automate business processes with AI agents. The vendor lists use cases in legal, risk and compliance, finance, customer service, IT service management, and business operations.

Can non-technical teams use Stack AI without writing code?

Yes. Workflows are built by dragging and connecting nodes, and the Knowledge Base node handles document retrieval with default settings. G2 reviewers mention ease of use 24 times and a learning curve for advanced features 6 times.

Who owns Stack AI?

Asana owns Stack AI. The acquisition was announced on May 27, 2026, and Stack AI continues as its own product and brand.

Pricing

How much does Stack AI cost?

Stack AI has a Free plan at $0 a month and an Enterprise plan with a custom quote. The pricing page publishes no price for Enterprise.

Is Stack AI free?

Stack AI has a free plan with 500 runs a month, 2 projects, and 1 seat. It does not include API access, analytics, a custom domain, SSO, or a BAA.

What is a run in Stack AI?

A run is one execution of a workflow. Each time a published workflow processes a request from start to finish, it uses one run.

Does Stack AI have a plan between Free and Enterprise?

No. The pricing page lists two plans, Free and Enterprise.

Features and security

Is Stack AI good for customer service chatbots?

Stack AI can run a customer service chatbot through its Website Chatbot interface, and the YMCA Retirement Fund uses it for a public assistant. You build that bot as a workflow. A content-trained tool such as SiteGPT is faster to launch when answering from existing content is the whole job.

Can Stack AI combine several AI models and APIs in one workflow?

Yes. A workflow can call different models at different steps, use tools and integrations, and run Python or JavaScript code. The API interface lets your own application trigger a published workflow.

Is Stack AI HIPAA compliant?

Stack AI lists HIPAA among its certifications, next to SOC 2 Type II, GDPR, and ISO 27001. The plan comparison lists a BAA on Enterprise only, so covered healthcare work needs the Enterprise plan.

Can you self-host Stack AI?

Yes, on Enterprise. Stack AI offers on-premise deployment in AWS, GCP, Azure, or your own servers, and a VPC option.

Does Stack AI integrate with existing business tools?

Yes. Stack AI lists more than 300 integrations, including SharePoint, SAP, Workday, Salesforce, Snowflake, and Asana. Supported actions differ by integration.

Alternatives

What are the best Stack AI alternatives?

n8n fits technical teams that want workflow automation with published plans. SiteGPT fits customer service answers from your own content. Botpress fits custom conversation flows with code. Chatbase fits small teams that want a free tier.

What is the difference between Stack AI and Botpress?

Stack AI is built for internal workflows and enterprise governance, and it sells its paid plan by custom quote. Botpress is built for conversational agents on chat channels and publishes per-conversation prices from $150 a month billed annually.

Is Stack AI or SiteGPT better for customer service?

Stack AI is better when service work involves multi-step processes inside your systems. SiteGPT is better when most questions can be answered from your website and help center and you want a published monthly price.

Sources

All pages opened on 5 October 2026.

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