Stack AI

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.

87/100Safe BetFree planFreemium

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

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
  • Companies that require VPC or on-premise deployment for data residency or security policy
Not ideal for
  • 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
Visit Website

IntermediateFree-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.Web · API · PluginAPI available5.8k viewsVerified 7h ago
Pricing
Free plan
FreemiumFree tier2 plans4 hidden costs
Learning curve
Intermediate
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.
Runs on
WebAPIPlugin
API available · 15 integrations
Who it's for
Enterprise IT architect at a health systemSupport operations lead at a SaaS companyFinancial services compliance engineer
Live sentiment
Is Stack AI actually worth it?

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Skip it if

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.

The 30-second take
Biggest gripe

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.

Price reality

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 today

Across the latest 5 updates: 1 launch, 2 changelog entries and 2 news mentions.

Viability Score

87/100
Safe Bet

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

Recent activity
90
Traction
not measured
Site health
95
User sentiment
not measured
What the vendor publishes
80

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

FreemiumIntermediateAPI availableWeb · API · Plugin

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.

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Real-world workflow fit

Concrete scenarios for the personas Stack AI actually fits — and what changes day-one when you adopt it.

Enterprise IT architect at a health system

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.

Support operations lead at a SaaS company

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.

Financial services compliance engineer

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

Models Under the Hood

ClaudeGPT-4oLlama 3.2MistralGeminiDeepgram Nova 2

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.

  1. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  2. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  3. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  4. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  5. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  6. — 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.

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

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.

Hidden costs & gotchas

What the public pricing page doesn't put in bold. Captured from pricing-page footnotes, contract terms, and recurring complaints.

  • 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.
  • SSO, access control, BAA, on-prem, and VPC deployment all sit on the Enterprise side of the published comparison table, so security-conscious teams cannot stay on Free.
  • On-prem and VPC deployments are custom-priced with their own timeline, adding procurement and infrastructure cost beyond the license.
  • Free tier is limited to 1 seat and 2 projects, so bringing even a small evaluation team onto the platform requires a sales conversation.

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.

Migrating in
  • →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.
Migrating out
  • ↗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

AsanaSalesforceSlackGoogle DriveNotionSharePointConfluenceZendeskAirtableGmailOutlookHubSpotDocuSignStripeEgnyte

Resources & Guides

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.

Tools that pair well with Stack AI

Common stack mates teams adopt alongside Stack AI, with the specific reason each pairing earns its keep.

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Frequently Asked Questions

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