Stack AI

What is Stack AI

Stack AI is an enterprise-ready platform for building and deploying AI agents without code. With a drag-and-drop interface, teams design workflows that connect unstructured data, back-office systems, and large language models to automate routine tasks. The platform streamlines operations like document processing, ticket triage, and knowledge retrieval while preserving governance and oversight. With integrations, monitoring, and human-in-the-loop controls, Stack AI helps organizations turn generative AI into reliable, secure business applications.

Main Features of Stack AI

• No-code visual builder: Create end-to-end AI workflows with a drag-and-drop canvas for rapid prototyping and iteration.
• Data connectors: Integrate files, databases, and business apps to unify structured and unstructured data.
• RAG and knowledge base: Ground agents with retrieval-augmented generation, embeddings, and vector search for accurate answers.
• Tool and prompt orchestration: Configure prompts, function calling, and tools to handle multi-step tasks reliably.
• Human-in-the-loop: Add approvals, reviews, and handoffs for sensitive decisions and quality control.
• Observability: Monitor runs, costs, latency, and outcomes with logs, analytics, and version management.
• Security and governance: Enterprise controls like SSO, RBAC, audit logs, and encryption to meet compliance needs.
• Flexible deployment: Ship as an API, embedded chat widget, internal app, or connect to existing systems.
• Scalability: Caching, batching, and robust runtime support production-scale workloads.
• Templates and components: Prebuilt blueprints speed up common use cases and standardize best practices.

Who Can Use Stack AI

Stack AI suits operations teams, customer support, finance and HR, IT service desks, and data leaders who need to automate back-office workflows. Product managers and solution architects can ship AI-powered apps without heavy engineering. Consulting firms and systems integrators can prototype and deploy enterprise AI agents faster while maintaining compliance and governance.

How to Use Stack AI

1. Sign up and create a workspace, then start a new project for your AI agent or workflow.
2. Connect data sources such as documents, knowledge bases, databases, or business applications.
3. Design the workflow on the canvas by adding nodes for prompts, tools, data retrieval, and logic.
4. Configure guardrails, access policies, and human-in-the-loop steps where needed.
5. Test in a sandbox with sample inputs and refine prompts, tools, and routing.
6. Set evaluation metrics, observability, and cost controls for production readiness.
7. Deploy via API, embed a chat widget, or integrate with internal systems.
8. Monitor usage and performance, review logs, and iterate for continuous improvement.

Stack AI Use Cases

Organizations use Stack AI to automate ticket triage and resolution in IT and support, accelerate document intake and extraction in finance and procurement, and power internal knowledge assistants for HR policies and compliance. E-commerce teams deploy agents for order inquiries and product Q&A, while operations automate supplier onboarding, invoice matching, and status updates. Professional services use it for research synthesis, proposal drafting, and workflow orchestration.

Stack AI Pricing

Stack AI typically offers flexible plans aligned to team size, usage, and enterprise requirements such as SSO and advanced governance. Enterprises can request a demo and tailored quote. For the latest plan details and any available trials, visit the official website or contact the sales team.

Pros and Cons of Stack AI

FAQs about Stack AI

• What is Stack AI used for?

  It is a no-code platform to design, deploy, and operate AI agents that automate back-office processes and knowledge workflows.

• Does Stack AI work with unstructured data?

  Yes. It supports retrieval-augmented generation and a knowledge base to ground agents on documents and other unstructured content.

• How do I integrate Stack AI with my systems?

  You can connect common data sources and business applications, then expose your agent via API or embed it where your users work.

• Is Stack AI secure for enterprise use?

  It includes enterprise controls such as SSO, role-based access, encryption, and audit logging to support governance and compliance.

• Can humans approve or review agent actions?

  Yes. Human-in-the-loop steps add reviews, approvals, or escalations for sensitive tasks to maintain quality and oversight.