Automation fabric
Automation Success Platform
The cloud-native platform for developing, deploying and managing bots and processes, with centralized control, analytics and governance.
Cloud-native enterprise automation combining RPA, document AI and agentic process automation.
Cloud-native automation
Discover, automate and orchestrate processes from a cloud-native platform.
Find candidate processes.
Build automations.
Run attended or unattended.
Track value.
Delivered as a service.
AI agents in processes.
Document Automation.
Assistance for users.
Automation fabric
The cloud-native platform for developing, deploying and managing bots and processes, with centralized control, analytics and governance.
AI-driven work
AI agent capabilities that interpret variable inputs, make bounded decisions and act within orchestrated business processes under enterprise governance.
Unstructured input
AI-powered extraction and validation of data from business documents such as invoices, forms and claims, feeding downstream automation.
Find and assist
Discovery tooling that surfaces automation opportunities from how work actually happens, plus assistant experiences that bring automation to business users.
Situation
Invoices arrive in every format and consume teams in manual keying and matching.
Approach
Automate capture, extraction, validation and posting with human review only for exceptions.
Value
Shorter processing cycles and cleaner audit trails.
Situation
High-volume case intake mixes documents, portals and judgment.
Approach
Combine document AI with agents that classify and route, automating the mechanical steps end to end.
Value
Faster intake and consistent handling at scale.
Situation
Routine requests queue behind busy service teams.
Approach
Automate fulfillment for standard requests across systems, with approvals where policy demands.
Value
Faster service for employees with controlled access changes.
Situation
The organization suspects automation potential but cannot see where it concentrates.
Approach
Use process discovery to quantify repetitive work and build a prioritized automation backlog.
Value
Investment flows to the highest-value processes first.
Enterprise adoption of Automation Anywhere typically involves designing the automation operating model: process discovery and prioritization, reference architectures for attended and unattended work, document AI pipelines, governance and change control, and enablement so internal teams can sustain and grow the program.
Questions buyers ask
Both are credible leaders. Differences that often decide it: cloud-native operating preference, existing ecosystem and skills, document-processing specifics and commercial structure. Assessment against an organization's actual process portfolio, rather than brand, tends to be more reliable.
AI agents that interpret variable inputs and make bounded decisions inside orchestrated processes, instead of purely deterministic rules — expanding what can be automated while requiring stronger governance.
Yes, with guardrails: a center of excellence owns standards, credentials and production promotion, while business builders handle well-bounded tasks. Ungoverned citizen development becomes sprawl.
High volume, rule-based, stable underlying systems, measurable outcomes. Discovery exercises help quantify candidates and identify the first wave where proof is fastest.
Independent editorial profile. Vendor facts reviewed against official sources, September 24, 2026.
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