Stack AI

Stack AI is an enterprise no-code platform that lets IT and operations teams build, govern and deploy AI agents on top of company data. It is aimed at regulated organizations, so the pitch centers less on clever demos and more on controls: audit logs, human review checkpoints, private deployment and a list of compliance certifications. The site states that Asana has acquired Stack AI, which signals the product will sit closer to work management over time.

What is Stack AI used for?

Stack AI is used to automate document-heavy and judgment-heavy processes where answers must be traceable. Examples include:

• Legal teams reviewing contracts against playbooks and flagging clauses
• Risk and compliance teams checking documents against policies
• Finance teams extracting data from statements and invoices
• Customer service agents that answer from approved knowledge
• IT service management triage and ticket routing
• Internal assistants grounded in SharePoint, drives and databases

Who Stack AI is best for

Stack AI fits IT departments, innovation teams and operations leaders at mid-size and large companies in healthcare, financial services, insurance, legal and industrial sectors. It is a strong match when security review, data residency and on-premise options decide which vendor you can buy. Small businesses and solo builders looking for cheap self-serve automation will find the free tier narrow and the paid tier sales-led.

Stack AI pricing

As of October 2026, Stack AI lists a free plan with 500 runs per month, 2 projects, 1 seat and community support on Discord. The Enterprise plan is custom priced and adds unlimited projects, custom seats and runs, all data loaders, dedicated infrastructure, VPC or on-premise deployment, access control, SSO, and SOC 2, HIPAA and GDPR compliance, with dedicated solution engineers. There is no published self-serve paid tier, so you request a quote from sales for anything beyond the free plan.

Limitations to keep in mind

• Paid pricing is only available through sales, which slows small purchases
• The free plan is limited to one seat and two projects
• The pricing page does not define what counts as a run
• The Asana acquisition may change roadmap and packaging, so confirm terms in contracts

Stack AI vs alternatives

Relevance AI is the better choice for sales and operations teams who want to build agents self-serve with published plans. Dust suits companies that want an AI workspace where every employee uses assistants connected to internal tools. Glean is stronger when enterprise search across all company knowledge is the main need, with agents as an add-on. n8n wins for technical teams that want open-source automation they can self-host freely. Stack AI is the pick when regulated workflows, on-premise deployment and compliance paperwork are requirements, not nice-to-haves.

Tips for getting started with Stack AI

Use the free plan to build one workflow on a real but non-sensitive document set, such as public policies, before requesting enterprise access. Decide early where human review must happen and add those checkpoints in the first version. Pick different models for extraction and drafting steps to balance cost and quality. Bring your security team the compliance documents up front to shorten procurement.

Stack AI FAQ

Is Stack AI free?

Yes, Stack AI has a free plan with 500 runs per month, 2 projects and 1 seat. Larger usage requires the Enterprise plan, which is priced by quote.

Can Stack AI be deployed on-premise?

Yes. Stack AI supports multi-tenant cloud, virtual private cloud and on-premise deployment, with on-premise and VPC options included in the Enterprise plan.

Is Stack AI safe to use with company data?

Stack AI lists SOC 2 Type II, ISO 27001, HIPAA and GDPR compliance and offers a BAA, though each company should still run its own security review.

What is the best alternative to Stack AI?

Relevance AI is a good self-serve alternative for business agents, Dust suits company-wide AI assistants, and n8n is better for open-source automation you host yourself.