Question 1

What is RPA Supervisor?

Accepted Answer

RPA Supervisor (rpasupervisor.com, Bergen, Norway) is a digital-workforce orchestration platform that coordinates and monitors a fleet of software robots across RPA platforms and enterprise systems. It sequences and schedules bot runs, watches the estate for failures, and self-heals so the digital workforce keeps running, with observability of the workforce as its central function. Founded in 2018 and having raised about twenty five million dollars, it is a mature orchestration product now positioned around agentic AI; because that positioning is largely a relabel of established RPA orchestration, it is treated at low confidence for the agentic framing while its orchestration and monitoring capabilities are well established.

Question 2

How much does RPA Supervisor cost?

Accepted Answer

No public pricing. RPA Supervisor is sold through its sales team, with scope set per automation estate.

Question 3

What does RPA Supervisor integrate with?

Accepted Answer

Orchestrates and monitors software robots across RPA platforms and enterprise systems, with connectors for common RPA tools and APIs for integrating the orchestration layer.

Question 4

Who is RPA Supervisor for?

Accepted Answer

Enterprise, RPA teams, Shared-services and automation CoEs

Question 5

What are the best alternatives to RPA Supervisor?

Accepted Answer

Based on documented capability coverage across the Agentic Index 14 point taxonomy, the closest alternatives to RPA Supervisor among enterprise operations agents are Arkestro, Force Equals, Rapta, Techtouch. Each is graded on the same public evidence, and no vendor pays for placement.

Question 6

Does RPA Supervisor give you tracing and observability into agent runs?

Accepted Answer

Full under the Agentic Index verification standard. RPA Supervisor publishes public evidence of tracing, observability and audit logging into agent runs, so a team can see what an agent did and why. Evidence basis: Monitoring and observability of the digital workforce is the core of the product, as its name implies. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Question 7

Does RPA Supervisor support MCP and tool calling?

Accepted Answer

Partial under the Agentic Index verification standard. RPA Supervisor publishes some public evidence of tool calling and API or SDK extensibility, but narrower than full Model Context Protocol (MCP) support as defined by the Agentic Index taxonomy. Evidence basis: APIs for integrating the orchestration layer with other systems. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Question 8

Does RPA Supervisor have SOC 2, SSO and role based access control?

Accepted Answer

Partial under the Agentic Index verification standard. RPA Supervisor publishes some public evidence of security and identity controls, but narrower than the full set of SOC 2, single sign on (SSO) and role based access control (RBAC). Evidence basis: Enterprise governance over the bot estate; specific certifications not documented. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Integrations & Tool CallingOrchestrates and integrates a digital workforce of software robots across RPA platforms and enterprise systems.	Full
Workflow OrchestrationCentral orchestration of the digital workforce, coordinating and sequencing bot runs across the estate.	Full
Knowledge Grounding & RAGNo knowledge grounding or RAG documented.	Unable to verify
Human Oversight & GuardrailsHuman supervision and oversight of the digital workforce; granular approval gates not documented.	Partial
Security, Identity & GovernanceEnterprise governance over the bot estate; specific certifications not documented.	Partial
Observability & AuditabilityMonitoring and observability of the digital workforce is the core of the product, as its name implies.	Full
Memory & State PersistenceRun state and history of the digital workforce are tracked.	Partial
Deployment & Data ResidencyEnterprise deployment across cloud and on-premises environments.	Partial
Prebuilt Agents / Templates / PacksConnectors and prebuilt components for common RPA platforms.	Partial
Triggers & Channel CoverageScheduled and event-based triggering of bot runs, including self-healing on failure events.	Partial
Model Flexibility & RoutingNo LLM model flexibility or routing documented; the agentic framing is applied to RPA orchestration.	Unable to verify
APIs / SDKs / MCP ExtensibilityAPIs for integrating the orchestration layer with other systems.	Partial
Testing, Debugging & OptimizationSelf-healing detects and remediates bot failures, an operational optimization capability.	Partial
Browser / Computer-useNo browser or computer-use agent capability documented.	Unable to verify

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