COMPARISON
RPA platforms automated repetitive tasks by replicating human clicks and keystrokes across application interfaces.
Adopt AI represents a different architectural model, agentic automation that operates at the system level, executing workflows through APIs and actions rather than UI scripting.
.webp)
Trusted by the best
Synthesized from community discussions and documented platform capabilities
Mature UI automation for legacy and desktop environments.
Established governance models and centers of excellence.
Structured task automation with defined workflows.
Extensive ecosystem and marketplace of pre-built bots.
Bot maintenance increases as UIs change or logic evolves.
Task-oriented automation that follows scripts, not goals.
Limited cross-system reasoning without additional tooling.
Scaling complexity compounds maintenance overhead.
Not a replacement for RPAs, but an expansion into autonomous execution.
RPA tools automate predefined UI steps and structured task sequences. They execute exactly what is recorded or configured. Change the interface, the workflow breaks.
.webp)
Agents plan, execute, verify, and adapt across UI, APIs, and browser surfaces. Instead of following fixed scripts, they reason about goals and determine the next best action dynamically.
DISCOVERY
Discovers API behavior from live applications through browser-based exploration, producing a usable catalog of actions.
ACTIONS
Transforms discovered behaviors into validated, reusable actions with inputs, outputs, and guardrails.
EXECUTION
Builds goal-driven agents using natural language or configuration, then deploys with governance and observability.
Focus chart shows emphasis, not quantified metrics.
.webp)
You're prioritizing structured UI automation at scale and:
Repetitive, deterministic UI workflows dominate operations.
Primary need is desktop or legacy task automation.
Automation teams are structured around RPA programs.
Best aligned with teams seeking agentic automation beyond UI scripting and:
.svg)
Want outcome driven execution with IT governance, oversight, verification and recovery.
Looking to have agents built into your product, or made available through MCP and other platforms.
Require deployment flexibility, compliance-grade governance, and a commercial model aligned to outcomes.
