Stack AI
Enterprise AI agent factory for IT teams to orchestrate, deploy, and govern agentic workflows under HIPAA, SOC 2 Type II, and ISO 27001.
If your agents touch PHI or regulated data and you need HIPAA, SOC 2 Type II, ISO 27001, on-prem or VPC deployment, and human approval gates without building them yourself, StackAI removes months of work. The September 2026 Multi-Agent Teams launch extends single agents into specialist teams, which matters for multi-step processes that used to drift. Everyone else should look hard at the Free tier's 500 runs/month before committing — the published ladder jumps straight from $0 to a custom Enterprise quote, and the comparison table puts SSO, BAA, on-prem, and VPC deployment on the Enterprise side. Teams comparing it against n8n or Dify are choosing between managed governance with dedicated
Verified 7h ago · liveness 87/100 · cite: rightaichoice.com/tools/stack-ai
- IT and enterprise architecture teams orchestrating governed AI agents across a large org
- Healthcare organizations whose agents touch PHI and need a BAA plus HIPAA and ISO 27001 coverage
- Financial services teams running AML screening, call compliance, and service desk automation
- Companies that require VPC or on-premise deployment for data residency or security policy
- Solo developers or early-stage startups looking for a low-cost agent builder
- Teams with no compliance, governance, or audit requirements to satisfy
- Hobbyist or consumer-grade no-code users expecting a plug-and-play chat app
We scan live Reddit threads, YouTube comments, X posts, G2 reviews and other communities — and hand you an honest verdict in under a minute.
- Honest verdict, not marketing
- Real pros & cons from real users
- Attributed quotes with receipts
3 free scans · no card needed
Skip StackAI if you need a sub-$100/mo self-assembled agent builder and have no compliance, audit, or data-residency requirement driving the purchase.
Runs are the metering unit, so a pilot that looks cheap at 500 runs/month can scale into a substantial Enterprise commitment once production traffic arrives.
StackAI's published pricing is a two-step ladder: $0/mo Free (500 runs, 2 projects, 1 seat) and a custom-quoted Enterprise tier with unlimited projects, custom seats, custom runs, SSO, BAA, and on-prem or VPC deployment. That shape fits mid-market and enterprise buyers with a procurement process. Teams below that bar — where n8n or Dify self-assembly is viable — will find the jump from $0 to custom quote hard to justify without a compliance driver.
In short
Stack AI — Enterprise AI agent factory for IT teams to orchestrate, deploy, and govern agentic workflows under HIPAA, SOC 2 Type II, and ISO 27001. Best for IT and enterprise architecture teams orchestrating governed AI agents across a large org, Healthcare organizations whose agents touch PHI and need a BAA plus HIPAA and ISO 27001 coverage, Financial services teams running AML screening, call compliance, and service desk automation. Free to use.
What's new in Stack AI
Checked todayAcross the latest 5 updates: 1 launch, 2 changelog entries and 2 news mentions.
Stack AI launches Multi-Agent Teams
Multi-Agent Teams turns one AI agent into a team of specialists, aimed at multi-step processes that previously drifted on edge cases.
Stack AI publishes enterprise AI patient acquisition piece
Stack AI blog post covering patient acquisition in enterprise healthcare AI.
Mid-August Product Update
Mid-August product update published by product manager JJ Miller.
August Product Update
August product update published by product manager JJ Miller.
Stack AI's Hakan Gureren on human-in-the-loop AI in VKTR
Stack AI's Hakan Gureren covers human-in-the-loop AI practices, matching the platform's approval-node feature.
Viability Score
How well maintained and how widely used is Stack AI? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: September 2026
How we score →Key Features
- Visual canvas builder for agentic workflows
- Multi-Agent Teams: turn one agent into a team of specialists (launched September 2026)
- Human-in-the-loop approval nodes at critical decision points
- LLM-agnostic model selection per task
- 300+ enterprise integrations for reading, writing, and executing tasks
- Deploy to multi-tenant SaaS, VPC, or on-premise
- Agentic Development Life Cycle for managing agents in production
- Audit logs, feature controls, and role-based access control
- SSO (Single Sign-On) for enterprise identity
- REST API access with custom domain and API access
- Slack bot deployment
- Chrome browser extension for interacting with published agents
- Multi-modal inputs and outputs: text, image, audio, video
- Vision, text-to-speech, and speech-to-text modules
- Python and JavaScript code nodes for custom logic
About Stack AI
StackAI is an enterprise platform for building, deploying, and governing AI agents — position it as an agent factory for IT teams rather than a loose LLM wrapper for individual business units. You build agentic workflows on a visual canvas, wire in knowledge bases and business systems, and route critical decision points through human-in-the-loop approval before anything executes. The platform is LLM-agnostic so you can pick the best-performing model per task, and it accepts text, image, audio, and video as inputs and outputs, with vision, text-to-speech, and speech-to-text modules. Deployment options run from multi-tenant SaaS to VPC and on-premise. Governance is the core of the pitch: feature controls, audit logs, role-based access control, SSO, and a signable BAA, backed by HIPAA, GDPR, SOC 2 Type II, and ISO 27001 certifications. Agents can be surfaced as a Chrome extension, REST API, or Slack bot. In September 2026 StackAI launched Multi-Agent Teams, which turns a single agent into a team of specialists. The company is now part of Asana, following Asana's acquisition of StackAI.
Behind the Verdict
StackAI's strongest asset is the combination of governance artifacts and a visual builder. You get a canvas for agentic workflows, Python and JavaScript code nodes when the no-code path runs out, and a deployment surface that includes chat, forms, APIs, a Chrome extension, and a Slack bot — all documented in a public GitBook docs site with an API reference and an MCP reference. Where it earns its enterprise positioning: the certification list is real and named — HIPAA, GDPR, SOC 2 Type II, and ISO 27001 — and the docs explicitly state 'No Training on Your Data,' alongside data retention policies and vulnerability tracking. You can sign a BAA directly with StackAI. For a hospital system or a bank that bans public SaaS, the VPC and on-premise options are the difference between a pilot and a production rollout. Multi-modality is broader than most competitors admit: text, image, audio, and video are all listed as both inputs and outputs, with vision, text-to-speech, and speech-to-text as distinct modules. Data loaders cover web scraping, file upload, Google Drive, and Notion, and document readers handle PDF, Word, and PowerPoint. The honest weaknesses sit in the commercial shape. The published comparison table has exactly two columns, Free and Enterprise, with runs, seats, and projects marked 'Custom' on the Enterprise side. That means you cannot budget from the website alone — you need a quote. Multi-step workflows can still drift on edge cases, which is precisely why the human-in-the-loop nodes exist. And workflows you build on the canvas do not export to other platforms; moving off means rebuilding. The Asana acquisition is the biggest strategic variable. Asana's framing is 'every human-agent workflow runs in one place,' and the site now carries a co-branded banner. For Asana shops this is a tailwind — agents can create and update tasks inside existing work management. For everyone else it is worth watching whether StackAI stays a standalone platform or becomes an Asana-shaped product.
Researching Stack AI? Get your full AI stack in 60 seconds.
Free, no signup — tell us your goal and get tools matched to your budget & existing stack.
Real-world workflow fit
Concrete scenarios for the personas Stack AI actually fits — and what changes day-one when you adopt it.
Stand up a PHI-safe 'chat with our docs' agent. Connect SharePoint and Confluence knowledge bases, attach PDF and Word document readers, set a human-in-the-loop approval node before any clinical answer leaves the app, and deploy to VPC under a signed BAA.
Outcome: A governed internal assistant that passes security review without a custom build, with audit logs recording every agent decision.
Build an agent that triages inbound Zendesk tickets, drafts replies, and updates Salesforce records. Route escalation replies to a human approval step and publish the agent as a Slack bot so agents can pull it into their existing workflow.
Outcome: Reduced first-response time with an explicit approval gate on anything customer-facing, plus a REST API endpoint if the team wants to embed the agent in-product.
Use Multi-Agent Teams to split a call-compliance review into specialist agents — one transcribes audio, one checks disclosures against a knowledge base, one flags exceptions for a human reviewer.
Outcome: Multi-step review that would previously drift on edge cases now has explicit specialist boundaries and an audit trail.
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.
- Automate due diligence for M&A by scraping legal filings and summarizing risks.
- Draft RFP responses in seconds using pre-approved language stored in a knowledge base.
Models Under the Hood
as of 2026-09-14
Limitations
- The published comparison table has only two columns — Free and Enterprise — so runs, seats, and projects on the Enterprise side are all quoted as Custom, and you cannot budget from the website without a quote.
- Workflows built on StackAI's canvas cannot be exported to other platforms without rebuilding.
- Multi-step workflows may drift on edge cases, which is what the human-in-the-loop nodes are there to catch.
- On-prem and VPC deployments require custom pricing and timeline.
- Free tier is capped at 1 seat and 2 projects, so evaluation by a real team is hard before you buy.
as of 2026-09-29
Verification history
We have re-verified Stack AI 18 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 18 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
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
A single evaluator or developer testing whether StackAI's canvas, knowledge bases, and multi-modal modules fit before bringing in a team.
What this tier adds
Starting tier — $0/mo for 500 runs per month, 2 projects, 1 seat, and Discord community support.
Enterprise
Custom
Ideal for
Regulated mid-market and enterprise buyers in healthcare, finance, or industrials that need a BAA, SSO, and VPC or on-prem deployment.
What this tier adds
Adds custom runs, unlimited projects and seats, dedicated infrastructure, dedicated solution engineers, on-prem and VPC deployment, SSO and access control, and SOC 2, HIPAA & GDPR compliance.
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.
StackAI's published pricing is a two-step ladder: $0/mo Free (500 runs, 2 projects, 1 seat) and a custom-quoted Enterprise tier with unlimited projects, custom seats, custom runs, SSO, BAA, and on-prem or VPC deployment. That shape fits mid-market and enterprise buyers with a procurement process. Teams below that bar — where n8n or Dify self-assembly is viable — will find the jump from $0 to custom quote hard to justify without a compliance driver.
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.
Free-tier evaluation: minutes to a working 'chat with your docs' agent using the visual canvas and document upload. Enterprise production deployment: expect a longer cycle because VPC or on-prem rollout, SSO configuration, and BAA paperwork run alongside the build, and a dedicated solution engineer is assigned to guide it.
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.
- →From n8n: rebuild visual workflows on StackAI's canvas, then map n8n nodes to StackAI's app nodes and code nodes.
- →From Dify: re-create prompt chains as agents and flows, and replace Dify knowledge bases with StackAI document upload or Google Drive loaders.
- →From a custom LangChain build: move orchestration into the visual builder, and use Python and JavaScript code nodes for logic you do not want to reimplement.
- →From Zapier-style automation: replace linear trigger-action zaps with multi-step agents that add human-in-the-loop approval where Zapier had none.
- ↗To n8n: export the underlying process logic and rebuild each StackAI node as an n8n node — there is no canvas export path.
- ↗To Dify: re-create agents and knowledge bases from source documents; workflows do not transfer.
- ↗To a custom build: reuse any code you wrote in Python or JavaScript nodes, and re-point integrations at your own orchestration layer.
Integrations
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
YouTube returned 6 videos for “Stack AI”, and we withheld 6: 6 could not be judged, because “Stack AI” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Stack AI.
Official links
Tools that pair well with Stack AI
Common stack mates teams adopt alongside Stack AI, with the specific reason each pairing earns its keep.
Relevance AI
Build, deploy, and govern specialist AI agents that run your enterprise workflows autonomously.
Gumloop
Visual AI agent platform for building, deploying, and governing multi-agent workflows that run inside Slack, Teams, Gmail, and Outlook.
C3 AI
C3 AI is an agentic operating system for building and governing enterprise AI applications at scale.
Alternatives to Stack AI
View allRelevance AI
Build, deploy, and govern specialist AI agents that run your enterprise workflows autonomously.
Frequently Asked Questions
Best-of guides
Used Stack AI? Help shape our editorial sentiment research.