StackAI vs Make: Governed AI Agents or Self-Serve Automation

The short answer: if your IT or security team must approve any AI that touches internal documents, StackAI is built for that buyer: a deployment stage can require a reviewer before a new version goes live, Enterprise adds on-premise and private cloud deployment, and the Free plan covers 500 runs a month, 2 projects and 1 seat, checked on 26 October 2026 on StackAI's pricing page. If marketing builds its own automations and buys by card, Make is the shorter road: self-serve plans, 3,000+ native apps, agents inside scenarios, and a Free plan of 1,000 credits a month (Make pricing).

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The vendor writes its name as one word, StackAI, and calls the product an enterprise AI agent factory "built for IT teams" on its homepage. What it changes, next to Make, is who is in charge: StackAI sells control over how agents are built, released and hosted, while Make sells a builder that anyone on the team can open on Monday.

Three questions to settle first:

1. How many runs a month, really. StackAI defines a run as the execution of a workflow instance, and its Free plan stops at 500 (pricing page). For example, a copy checker used on 30 assets a week runs 30 x 52 / 12 = 130 times a month, about a quarter of that allowance. On Make, an agent run costs 1 credit per operation, plus token credits when it runs on Make's AI Provider (credit usage for agents).
2. What it will read, and who signs it off. StackAI grounds agents in knowledge bases built from your documents (knowledge base guide), and lists 500+ enterprise integrations (homepage). List the folders and systems first, then find the person in IT who will approve access to them.
3. What you will judge it on. StackAI's Analytics view shows each run's status, input and output (triggers guide); Make shows operations and credits per module after a run (operations guide). Pick ten real assets, write the right answer for each, and score both against it.

What each one is

Where they part ways

A release process, or a save button

StackAI treats an agent like software. A change goes to a stage through a pull request, a stage can require approvals, and the previous version stays live until the request meets those requirements (deployments and approvals). Its docs also warn that a stage set to zero approvals deploys at once. If your organisation needs that kind of sign-off on Make, agree it as a team rule before the first scenario goes live.

Whose servers

StackAI's homepage lists multi-tenant, private cloud and on-premise deployment, with HIPAA, GDPR, SOC 2 Type II and ISO 27001 named (StackAI); the pricing page puts on-premise and private cloud on Enterprise. Make runs in its own cloud. For an agent that reads contracts or customer records, settle hosting with security before anything else.

Who uses the output

A StackAI project is published as an interface: a chat, a form, a batch table, an API or a Slack or Teams bot (interfaces). A Make scenario mostly runs in the background between apps. If colleagues need to ask the agent something, StackAI is shaped for that; if apps need to hand records to each other, Make is.

A human check inside the run

On StackAI, the Ask Human in Chat Interface step pauses a run to ask the person in the chat for a decision or missing detail, then continues with their answer (Ask Human). Applied to marketing: a published chat checks a landing page draft against the approved-claims knowledge base, lists the lines that fail, and asks the marketer to accept the fixes or revise before it produces the final text. StackAI's docs are clear on the limit: showing a question is not approval, and an unattended schedule cannot answer it. Make's documented equivalent sends the agent's draft to Slack for a person to act on (outreach agent).

What it costs

StackAI, checked on 26 October 2026 on its pricing page: Free is $0 a month with 500 runs, 2 projects and 1 seat. Enterprise is custom and adds dedicated infrastructure, solution engineers, on-premise and private cloud deployment, access control and SSO. No price between the two is published.

Make's plan prices load behind a security check and could not be read from its pricing page that day; the text confirms the Free plan's 1,000 credits and a lower price for annual prepayment.

A quoted price is anchored to what the vendor learns about your company in the demo. Settle your budget band and your run and seat counts before the first call, and ask which of runs, seats, projects or storage the quote is built on.

Prove it free first

Build one small, low-risk project on StackAI's Free plan, such as the claims checker above, and the same job on Make's Free plan with an agent that reads the claims file as knowledge (agent intro). Score both on your ten test assets. The free plans are enough to see which one your team will open again next week.

Choose StackAI if your job is

• Giving colleagues a governed assistant over approved documents, with releases signed off.
• Running AI where security requires private cloud or on-premise hosting.

Choose Make if your job is

• Moving records between marketing apps, with an AI step where it helps.
• Starting this week, by card, without a procurement process.

If the agent turns out to be the easy part, and the hard part is deciding which marketing jobs to hand to agents and who checks them, that is the agentic marketing work I sell.

FAQ

Is it Stack AI or StackAI?

The vendor writes StackAI, as one word, on its site; "Stack AI" is how many people search for it.

Does StackAI's acquisition change the product?

StackAI announced on 27 May 2026 that it is joining Asana and continues as its own product and brand, with existing workflows unchanged (announcement).

Can Make's agent read company documents?

Yes. Make's agent uses knowledge files, such as FAQs, brand guidelines and company policies, stored in its memory (agent intro).