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Atlas/StackAI
Vendor dossier / Horizontal AI

StackAI

Enterprise agent builder oriented to governed workflows and private deployment.

REVIEWED 23 SEPTEMBER 2026Marketing / Sales / CXNO HANDS-ON BENCHMARK

What it is

Official-source notesHorizontal AIscaling

StackAI combines a visual workflow builder, document ingestion and deployments into business channels. Its pricing page lists VPC and on-premise options, SSO and access controls for Enterprise. [V1] [V2]

Documented means the statement is present in the cited material. Capability effectiveness, customer outcomes and security assurances have not been independently audited here.

Promoted use cases

  • Extract and validate documents
  • Build internal knowledge assistants
  • Deploy enterprise approval workflows

Horizontal platforms compete on how people connect company knowledge, delegate work and keep control across tools. The central question is whether a reusable workspace can become an operating process, with a named owner and a reliable path from request to approved action. A visually appealing agent builder is only one part of that decision.

Pricing and buying model

Published commercial evidence

Free; Enterprise custom

Free: 500 runs/month, two projects, one seat. Enterprise runs and seats are negotiated.

Check current commercial source ↗

Budget for implementation, model and tool usage, data, human review and ongoing support. Credit units and outcome definitions differ between vendors. A missing numeric rate is marked unverified rather than replaced with an old third-party estimate.

Collaboration and governance

Private infrastructure and access controls are publicly described. Compliance statements remain vendor assertions until the relevant reports and contract scope are reviewed.

The relevant unit of control is permission to update the CRM and release approved follow-up. Inspect who can propose, approve, execute, interrupt and audit that action. Shared seats, shared content and a shared live agent session are different capabilities; require a demonstration of the one your process needs.

Evaluate memory correction, permission revocation and release control for updated instructions. An improvement loop should preserve the original evidence, proposed change, test results and named approver. A safety or security badge alone cannot establish those workflow properties.

Review and customer evidence

G2 has a product-specific StackAI listing and a dated January 2026 review surface. This establishes an independent review venue, but the visible sample retrieved in this pass was too thin to characterize recurring satisfaction or production governance. No aggregate rating is used; seek a reference using the same deployment and document controls.

Before relying on a testimonial, confirm the exact product, version, package, workload and baseline. Ask a relevant customer about setup effort, failed cases, ongoing manual work and support after launch. This dossier does not convert customer logos or vendor-hosted awards into independent proof.

Focused feature documentation

Focused documentation check · Sep 2026

Workflow builder, data boundary and purchased controls

StackAI documents a visual workflow builder with knowledge-base nodes for retrieval over uploaded files and connected sources. Its documentation describes role-based access over editing knowledge bases and publishing workflows, plus approval and version-control processes. These are more specific product controls than a generic claim that an enterprise AI platform is secure; their exact enforcement and edition should be checked in a tenant.

The current public plan lists 500 runs, two projects and one seat at $0 per month. Enterprise offers a custom run and seat allocation, dedicated infrastructure, VPC or on-premises deployment and SSO. A run is a vendor-defined usage unit rather than a completed growth outcome. For a regulated account-research pilot, ask StackAI to show a source edit, workflow promotion, restricted user and rollback while tracking both run usage and implementation work.

Primary sources: Official documentation overview ↗ · Official pricing and entitlements ↗

Published documentation and public illustrations; account behaviour was not independently tested.

Visual source

A screenshot was not captured for this entry. Open the official visual source ↗. The absence of an image does not affect the evidence status of the sourced notes.

Fit, limitations and proof requests

Editorial assessment

StackAI is worth examining when document handling and deployment boundaries dominate requirements. It is not inherently a packaged sales or marketing operating team; business process design remains part of the implementation.

Priority question: Which connector permissions, model calls and trace stores stay inside the quoted private deployment?

The evaluation owner should be a growth operations lead. Use accepted work completed across tools as the business target. Judge the solution in its own stack role: a cloud runtime, a specialist production tool and a managed AI team can be complementary purchases.

Use-case evaluation plan

Account research to approved follow-up

Give the team an account record, a current product brief and a small set of approved customer references. Ask it to identify a relevant problem, distinguish observed facts from inferred needs, and prepare a follow-up for review. Then change one source and require a second person to correct the draft without restarting the research.

Measure: source accuracy, reviewer minutes, approved follow-ups and CRM consistency.

Campaign brief to coordinated delivery

Start with one campaign objective, audience, budget constraint and brand guide. Require research, a brief, assets and a release checklist with distinct human owners. Introduce an unresolved claim midway through the process. The system should retain useful work while preventing that claim from silently propagating into every asset.

Measure: accepted assets, revision burden, approval latency and missing handoffs.

Customer insight to shared learning

Provide anonymized support themes and sales objections. Ask for a synthesized insight, a proposed campaign adjustment and a knowledge update. A marketing owner and a CX owner should review the same underlying evidence. The exercise tests cross-functional context and accountability, not merely summarization quality.

Measure: evidence coverage, disagreement resolution and reuse of approved learning.

Detailed comparison

Read the detailed Nagent vs StackAI guide for operating models, shared context, governance, cost, evidence gaps and a staged pilot.

Nagent vs StackAI

Sources and evidence register

Nagent · Multiplayer AI for growth teamsResearch: 21–29 September 2026 · Public-source analysis, no hands-on benchmark · Sources & method