Automa brings AI agents, robotic execution, and human governance into one enterprise Intelligent Process Automation platform on AWS. Designed for complex and regulated operations, it uses Agentic AI to reason through exceptions, optimize workflows, and orchestrate secure automation across cloud-native, on-premises, or hybrid environments.
Automa Enterprise Agentic AI and Intelligent Process Automation Platform
Automa gives enterprises one place to design, run, and control automation across people, systems, AI agents, bots, APIs, documents, browsers, and data workflows. Built for AWS automation, SaaS automation, and hybrid enterprise automation, the platform brings AI decision-making, robotic process automation, RPA software capabilities, workflow automation, and human governance into one operating model.
Instead of relying only on fixed rules or brittle scripts, Automa uses Agentic AI to help AI agents understand business context, detect exceptions, and route work to the right next step. Robotic execution handles structured actions across enterprise applications, SaaS tools, databases, web portals, APIs, and legacy systems, while human-in-the-loop controls keep approvals, escalations, and policy-sensitive decisions under business oversight.
Platform Capabilities
Agentic Workflow Orchestration - Design, run, and monitor workflow automation across AI agents, RPA bots, enterprise systems, APIs, documents, browsers, and human approval steps. Teams can coordinate end-to-end processes without stitching together separate automation tools.
AI Agents for Business Decisions - Create and manage AI agents that can reason through context, evaluate exceptions, support decision routing, and assist with workflows that require judgment beyond static rules.
Robotic Process Automation Execution - Use robotic process automation to complete repeatable, structured work across SaaS tools, web portals, legacy systems, databases, APIs, and business applications. RPA execution works as part of the broader intelligent process automation platform, not as a standalone task runner.
No-Code Workflow Design - Build no-code workflow automation for approvals, document handling, browser tasks, data movement, and cross-system processes. Business and IT teams can design automations faster without relying on heavy custom development.
Document Processing and Data Workflow Automation - Automate document-heavy and data-driven work such as invoice processing, customer onboarding, KYC review, financial reconciliation, reporting, compliance checks, and cross-system data routing.
Browser and SaaS Process Automation - Automate browser automation and SaaS application workflows, including form handling, data entry, file movement, web portal actions, and repetitive operational tasks that connect to larger enterprise processes.
Human Oversight and Process Control - Keep automation accountable with approval steps, exception queues, monitoring, audit trails, role-based access control, policy enforcement, and traceable activity records across automated workflows.
Enterprise Use Cases
Automa supports enterprise automation programs across finance, operations, customer service, HR, IT, supply chain, compliance, and other regulated business functions. Teams can use the platform to streamline customer onboarding, KYC workflows, accounts payable and receivable, invoice processing, financial reconciliation, document review, reporting, data workflow automation, browser-based processes, and compliance operations.
For organizations modernizing legacy automation, Automa provides a path from isolated RPA scripts to agentic automation that connects AI agents, robotic execution, APIs, documents, systems, and human approvals in one workflow. Business teams can reduce manual handoffs and process delays, while IT and governance teams keep visibility into how work is executed, reviewed, and audited.
Enterprise Deployment and Trust
Automa is designed for enterprises that need flexible deployment without giving up control over data, infrastructure, or operations. Organizations can run automation in cloud-native, private, or hybrid environments and align Automa with existing AWS environments, SaaS applications, enterprise systems, and internal security policies.
For regulated automation programs, Automa gives IT, risk, and business teams oversight across AI agents, robotic execution, human approvals, and cross-system workflows. The platform supports AES-256 encryption, role-based permissions, traceable activity logs, monitoring, policy enforcement, and compliance-ready reporting, with architecture aligned to SOC 2, GDPR, HIPAA, and ISO standards.
Highlights
Agentic AI-Powered Enterprise Automation
Automa combines intelligent process automation, AI agents, robotic process automation, and RPA software execution in one governed enterprise automation platform. It helps organizations orchestrate complex workflows across people, systems, bots, APIs, and human approvals while keeping AI decision-making, robotic execution, auditability, and operational control in a single scalable model.
No-Code Workflow Automation Across Systems
Build and deploy no-code workflow automation that connects SaaS apps, enterprise systems, APIs, documents, browsers, and data workflows. Automa supports document processing, browser automation, exception handling, human-in-the-loop approvals, bot orchestration, and real-time monitoring so business and IT teams can automate complex processes without heavy coding.
Secure AWS and SaaS Automation at Scale
Run AWS automation and SaaS automation across cloud-native, on-premises, or hybrid deployments with enterprise-grade security, AES-256 encryption, RBAC, audit trails, monitoring, policy enforcement, and compliance-ready governance. Automa helps regulated teams scale agentic automation while maintaining data control, visibility, and operational resilience.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
You buy this platform through a contract that bundles licenses. Four options set how many licenses you receive. Starter includes 1 license. Starter Plan includes 2 licenses. Growth Plan includes 5 licenses. Enterprise Plan includes 10 licenses. The options scale by license count, so you pick the tier that matches the number of licenses your team needs. All four deliver the same agentic AI and process automation platform; only the included license quantity changes as you move up.
Top-of-mind questions for buyers
What does one license let me run on this platform?
A license grants access to the agentic AI and process automation platform, where you orchestrate AI agents, RPA bots, and people across workflows. The number of licenses in your tier sets how many of these seats or automation processes your team can run concurrently.
If my team grows past my tier's license count, how do I get more licenses?
Each tier bundles a fixed license count: 1, 2, 5, or 10. To add capacity, you move to a tier with a higher license count. The change is not automatic. You select the tier matching the number of licenses your team needs.
Can I deploy this on my own infrastructure to keep data in-house?
Yes. The platform supports on-premise deployment, keeping automation processes and data within your firewall. It also offers cloud or hybrid options. On-premise uses role-based access, encryption, and audit logging. This capability applies across all four license tiers.
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SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
We provide end-to-end technical support and operational assurance for all enterprise subscribers, to ensure the stable, secure, and efficient operation of your no-code RPA and AI agent automation workflows.
Onboarding guidance and best practice consultation for no-code RPA workflow design and AI agent configuration
Diagnosis and resolution of runtime errors, performance anomalies, and third-party system integration failures
Enterprise-level deployment guidance, including role permission configuration, team collaboration management, and data security policy settings
Full-cycle handling for subscription, billing, and account permission issues
Advisory support for compliance and data governance of enterprise automation business
Response Service Level Agreement (SLA)
General inquiries, usage guidance, and non-critical issues: Response within 24 business hours
Critical production failures affecting core business operations: Response within 8 business hours, assigned to a senior technical engineer for dedicated follow-up until full resolution
Service Hours
Monday to Friday, 9:00 AM to 6:00 PM (GMT+8).
Emergency requests submitted outside business hours will be prioritized for processing on the next business day.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Automa AI Implementation Service helps enterprises assess, design, deploy, and scale AI-powered RPA and AI Agent workflows across web apps, desktop software, APIs, documents, databases, and legacy systems with governed execution and enterprise support.
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