Enterprise automation has moved beyond traditional bots that follow fixed rules across applications. AI agents, document intelligence, reasoning, and human review now allow platforms to handle more complex processes from start to finish. Automation Anywhere vs Roots Automation gives buyers a clear choice between enterprise-wide automation and domain-specific workflows.
Automation Anywhere provides a broad Agentic Process Automation environment across departments, applications, APIs, documents, bots, and employees. Roots Automation has taken a more specialized direction through Bevaya, its current insurance-focused AI agent platform.
In this article, we reviewed their current product information and compared platform scope, automation development, AI agents, document processing, and integrations. We have also compared their workflow orchestration, support, and pricing to show where each approach fits.
Automation Anywhere vs Roots Automation at a Glance
| Comparison Area | Automation Anywhere | Roots Automation / Bevaya |
| Current positioning | Agentic Process Automation | Insurance AI agent platform |
| Industry scope | Cross-enterprise | Insurance-specific |
| Operating model | CoE-led platform development | Managed AI workforce |
| Insurance workflow depth | Configurable insurance processes | Pre-built insurance agents |
| RPA and UI execution | Attended, unattended, and UI automation | No general-purpose RPA layer |
| Document intelligence | Embedded Document Automation | Insurance-focused Document Intelligence |
| Orchestration | Mozart Orchestrator | Workflow Canvas |
| Deployment | Cloud or on-premises | SaaS only |
| Pricing visibility | Community Edition plus enterprise sales | Annual subscription plus implementation |
| Best-fit buyer | Enterprise automation teams | Carriers, brokers, and TPAs |
Automation Anywhere Overview

Automation Anywhere is a horizontal Agentic Process Automation platform built for enterprises that want to coordinate AI agents, RPA, APIs, documents, applications, and human work across multiple functions. The capabilities most relevant against Bevaya are Mozart Orchestrator, Process Reasoning Engine, AI Agent Studio, Document Automation, Automation Workspace, Process Discovery, Automation Co-Pilot, and CoE Manager.
Together, they support process design, document extraction, agent creation, attended and unattended execution, orchestration, monitoring, and centralized governance. Its strongest fit is an insurer with an established automation team or CoE that wants one platform across insurance and non-insurance processes.
Automation Anywhere Key Features
- Mozart Orchestrator: Coordinates AI agents, automations, APIs, documents, systems, and human participation across long-running processes
- Process Reasoning Engine: Provides enterprise context and adaptive decision logic across agentic processes
- AI Agent Studio: Supports low-code creation and management of goal-driven enterprise AI agents
- Document Automation: Extracts and organizes information from business documents for use inside wider workflows
- Automation Workspace: Brings RPA, AI, APIs, and process orchestration into one development environment
- Process Discovery: Identifies process variations, bottlenecks, and automation opportunities before development
- Automation Co-Pilot: Lets employees initiate and participate in automated processes from their work applications
- CoE Manager: Provides centralized governance and performance visibility across enterprise automation programs
Automation Anywhere Strengths
- Extends insurance workflows across documents, APIs, browser interfaces, desktop applications, bots, agents, and employee tasks
- Supports attended and unattended RPA alongside agent-led process execution
- Allows reusing one automation platform across claims, underwriting, finance, service operations, and non-insurance functions
- Provides dedicated process discovery, orchestration, monitoring, and CoE-level governance capabilities
Automation Anywhere Limitations
- Insurance-specific processes require configuration within the broader platform rather than starting from Bevaya’s managed library of insurance-focused agents
- Complex agentic workflows, exception logic, and debugging can require deeper technical experience despite the platform’s low-code capabilities
- A wider automation estate brings additional responsibility for process design, credentials, deployment, governance, maintenance, and application changes
Roots Automation Overview

Roots Automation, Inc. now offers Bevaya as its go-forward platform and brand, replacing the former Roots platform. Bevaya is built specifically for insurance rather than as a horizontal RPA environment. Its AI agents focus on underwriting, claims, and policy servicing, with insurance-trained models, document processing, human review, and system handoffs built into the operating model.
Relevant components include Workflow Canvas, InsurGPT, Document Intelligence, Pre-built AI Agents, Workspaces, Live Runs, Human-in-the-Loop, Grounded Explainability, Analytics, and Governed Automation. Its target buyers are P&C carriers, brokers, and TPAs that want insurance-specific automation without building every workflow internally.
Roots Automation Key Features
- Workflow Canvas: Designs and runs insurance workflows using configurable steps, rules, reviews, and system connections
- InsurGPT: Uses an ensemble of specialized insurance AI models trained for insurance documents and decisions
- Document Intelligence: Performs OCR, classification, splitting, and extraction across insurance documents
- Pre-built AI Agents: Provides insurance workflows for claims, underwriting, and policy servicing that can be configured to the organization
- Human-in-the-Loop: Routes lower-confidence work to reviewers before processing continues
- Grounded Explainability: Connects extracted values and recommendations with their source evidence for reviewer inspection
- Live Runs: Provides visibility into active work items and agent execution across production workflows
- Governed Automation: Supports audit trails, role-based access, flow versioning, and controlled production execution
Roots Automation Strengths
- Focuses exclusively on underwriting, claims, and policy servicing rather than requiring insurers to adapt a horizontal automation platform
- Provides pre-built insurance agents for workflows such as submission intake, loss-run processing, FNOL setup, claim indexing, endorsements, and premium audits
- Includes managed implementation, continuous retraining, drift management, and ongoing model curation within its delivery model
- Connects with Guidewire, Salesforce, Outlook, SFTP, and HTTP-accessible systems, with insurance-system handoffs built into current workflows
Roots Automation Limitations
- Bevaya’s current scope is deliberately insurance-specific
- It is currently SaaS only and does not offer an on-premises deployment option
- The managed delivery model may be less aligned with enterprises that want internal teams to build, operate, and control the complete automation lifecycle themselves
Automation Anywhere vs Roots Automation: Detailed Comparison
Automation Anywhere and Roots Automation take different approaches to enterprise automation. The comparison below looks at how they differ across platform scope, AI agents, document processing, integrations, governance, and ongoing management.
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Platform Scope and Operating Model
Automation Anywhere: The Agentic Process Automation System combines AI agents, RPA, APIs, documents, applications, and human participation across enterprise processes. Organizations can use the same environment across insurance operations, finance, IT, HR, and other functions.
Roots Automation: Bevaya is built specifically for insurance. Its operating model centers on AI agents that read, analyze, recommend, and execute work across underwriting, claims, and policy servicing.
Verdict: Automation Anywhere fits enterprises that want one automation environment across departments. Bevaya has the stronger fit when insurance operations themselves define the required workflows, models, and execution model.
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Insurance Domain Depth and Pre-Built Agents
Automation Anywhere: Insurance workflows are built using capabilities such as Document Automation, AI Agent Studio, RPA, and orchestration. This gives insurers flexibility to configure claims, underwriting, policy servicing, and other processes around their existing systems and operating rules.
Roots Automation: Bevaya provides pre-built AI agents for insurance workflows such as submission intake, ACORD extraction, loss-run processing, FNOL setup, claim indexing, claim-to-policy comparison, endorsements, policy renewals, and premium audits.
Verdict: For carriers prioritizing ready-made insurance depth, Roots Automation vs Automation Anywhere favors Bevaya. Automation Anywhere offers greater flexibility when insurers want to design workflows around their own processes, applications, and enterprise automation architecture.
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Automation Development and Implementation Ownership
Automation Anywhere: Automation Workspace and related low-code capabilities allow internal developers and automation teams to build, modify, and maintain workflows. Automation Anywhere University also supports teams that want to develop their own automation expertise.
Roots Automation: Bevaya follows a more managed implementation model. Its team or implementation partners configure workflows, integrate them with customer systems, tune agents against customer data, and support production deployment.
Verdict: Automation Anywhere suits organizations that want greater internal ownership of development and ongoing automation management. Bevaya fits insurers that prefer a managed approach with insurance specialists handling more of the implementation and continuing operation.
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RPA, Desktop, and Legacy-System Execution
Automation Anywhere: Automation 360 supports attended and unattended automation. Bots can work directly with user interfaces and applications, which is valuable when insurance workflows still depend on desktop software, browser interfaces, or systems without suitable APIs.
Roots Automation: Bevaya executes insurance workflows through Workflow Canvas and connected systems such as Guidewire, Salesforce, Outlook, SFTP, and API-accessible applications. Its architecture is centered on insurance agents and integrations rather than a general attended and unattended RPA environment.
Verdict: Automation Anywhere can execute directly through attended and unattended RPA. Bevaya fits insurance workflows where system access can be handled through its supported integrations and APIs.
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AI Agents and Reasoning
Automation Anywhere: AI Agent Studio lets teams build enterprise AI agents in a low-code environment. The Process Reasoning Engine provides process context and adaptive reasoning so agents can make decisions within wider workflows.
Roots Automation: Bevaya uses InsurGPT, an ensemble of specialized insurance AI models, to support agents across claims, underwriting, and policy servicing. Its AI Assistant can also help build workflows, manage review queues, and explain document-derived decisions.
Verdict: Agent scope separates Automation Anywhere vs Roots Automation more than agent availability. Automation Anywhere supports agents across many enterprise processes, while Bevaya concentrates reasoning and agent behavior on insurance documents, terminology, and operating decisions.
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Document Intelligence for Insurance Records
Automation Anywhere: Document Automation processes structured, semi-structured, and unstructured files, including policies, claims documents, spreadsheets, handwritten content, tables, and free-form text. Extracted information can then feed bots, APIs, agents, or human tasks.
Roots Automation: The Document Intelligence feature works with InsurGPT to classify, extract, and interpret insurance records such as ACORD forms, loss runs, claim files, submissions, endorsements, and related carrier documents.
Verdict: Bevaya is stronger when insurance document understanding is central to the process, while Automation Anywhere suits cases where document extraction must connect immediately with a wider automation estate.
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Human Review, Explainability, and Decision Traceability
Automation Anywhere: Human participation can be coordinated alongside bots and AI agents through Mozart Orchestrator and related workflow capabilities. Automation Anywhere also provides centralized auditability and governance across automated execution.
Roots Automation: Its Human-in-the-Loop capability routes lower-confidence items to reviewers. Grounded Explainability connects extracted values and recommendations with source evidence, while X-Ray Highlight Mode helps reviewers inspect where the information came from.
Verdict: Bevaya works well when insurance reviewers need source-level evidence behind individual recommendations. Automation Anywhere offers greater breadth when human involvement spans non-document tasks and multiple enterprise systems.
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Workflow Orchestration and Runtime Execution
Automation Anywhere: Mozart Orchestrator coordinates AI agents, automations, APIs, documents, systems, and people across long-running processes. It also provides centralized visibility and governance across process execution.
Roots Automation: Workflow Canvas combines workflow design with production execution for insurance agents. Live Runs provides per-step runtime visibility, retries, execution state, and selective recomputation when a specific step needs correction.
Verdict: Process breadth should guide the Roots Automation vs Automation Anywhere choice here. Automation Anywhere is stronger for orchestration across diverse enterprise processes, while Bevaya provides deeper runtime control inside managed insurance-agent workflows.
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Integrations and Core Insurance Systems
Automation Anywhere: The platform combines APIs, packaged application actions, UI automation, iPaaS connections, and reusable integrations. It can work with enterprise applications such as Salesforce, ServiceNow, SAP, databases, cloud services, and systems that require interface automation.
Roots Automation: Bevaya provides native connections for Guidewire, Salesforce, and Outlook and uses an API-first model for other systems. Its current insurance workflows also connect through SFTP and can write results into claims, policy, rating, and related systems of record.
Verdict: Bevaya offers more insurance-specific connectivity, while Automation Anywhere reaches further when the process spans varied enterprise applications, APIs, and legacy interfaces.
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Training, Support, and Ongoing Management
Automation Anywhere: Automation Anywhere University offers structured learning paths for professional developers, citizen developers, and automation program leaders. Customers can also draw on the Pathfinder Community and a wider network of implementation and technology partners.
Roots Automation: Bevaya follows a more managed model. Its team maps workflows, builds or configures agents, supports integration and production rollout, monitors accuracy, manages drift, retrains models, and provides ongoing account management after deployment.
Verdict: The operating-team question creates a meaningful Automation Anywhere vs Roots Automation split. Automation Anywhere is better suited to organizations that want to develop internal automation expertise, while Bevaya reduces that internal burden through continued insurance-specific management.
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Pricing, Implementation, and Total Ownership Cost
Automation Anywhere: Enterprise pricing is sales-led rather than publicly itemized. Community Edition provides free access for eligible users and qualifying small businesses, but its limits mean it should not be used as a proxy for enterprise cost.
Roots Automation: Bevaya uses an annual subscription based on processing volume and deployed AI agents, plus a one-time implementation charge. The subscription includes account management, continuous retraining, drift management, and ongoing model curation.
Verdict: Total ownership cost should reflect who performs the ongoing work. Automation Anywhere may make more economic sense when an existing CoE can spread platform investment across many workflows, while Bevaya may appeal to insurers willing to pay for a managed insurance-agent model.
How Scry AI Compares in Automation Anywhere vs Roots Automation

Scry AI fits a different stage of insurance automation when operational data must agree with financial, contractual, or reinsurance records before the result is accepted. It shares document interpretation, validation, exception review, and system handoffs with Bevaya, while also overlapping with Automation Anywhere in controlled workflow execution.
Its distinction is deeper multi-record reconciliation across claims, policies, treaties, bordereaux, accounting records, invoices, and related evidence. Reinsurance operations, claims finance, controllers, compliance teams, and insurance shared services can consider Scry AI when mismatches require investigation before settlement, reporting, posting, or close.
Automation Anywhere vs Roots Automation vs Scry AI
| Requirement | Automation Anywhere | Roots Automation / Bevaya | Scry AI |
| Platform breadth | Enterprise-wide automation | Insurance-specific AI agents | Document intelligence and controlled workflows |
| Category depth | RPA, agents, APIs, and orchestration | Underwriting, claims, and policy servicing | Validation and multi-record reconciliation |
| Document intelligence | Embedded Document Automation | Insurance-focused Document Intelligence | Contextual structured and unstructured processing |
| Validation | Document and process-level checks | Insurance rules, confidence, and review | Cross-record and external-data validation |
| Reconciliation | Configured within wider automations | Insurance workflow comparisons | N-way financial and insurance reconciliation |
| Human review | Document and process tasks | Human-in-the-Loop with source evidence | Discrepancy-focused exception review |
| Workflow execution | UIs, bots, APIs, agents, and people | Insurance-agent workflows and integrations | Verified-data handoffs to enterprise systems |
| Deployment | Cloud and customer-hosted options | SaaS only | Cloud or on-premises |
| Best-fit buyer | Enterprise automation CoE | Carriers, brokers, and TPAs | Teams with complex reconciliation needs |
How to Choose Between Automation Anywhere, Roots Automation, and Scry AI
Start with the operating model rather than the feature count. Consider how much insurance-specific configuration is required, which systems the process must reach, who will maintain the automation, where data can be hosted, and which records must agree before the business accepts an outcome.
Choose Automation Anywhere when
- Insurance workflows must continue across desktop applications, browser interfaces, APIs, bots, agents, and employee tasks
- An internal automation CoE wants direct responsibility for development, governance, deployment, and continuing process changes
- Customer-hosted or on-premises deployment is required for selected workloads
Choose Roots Automation when
- Underwriting, claims, or policy servicing account for most of the targeted automation program
- The organization prefers Bevaya specialists to configure, deploy, monitor, and continue managing the agents
- SaaS deployment and API-led connections to insurance systems fit existing security and architecture requirements
Choose Scry AI when
- Claims, policy, treaty, bordereaux, accounting, or payment records must reconcile before settlement, reporting, or posting can proceed
- Exceptions arise from conflicting financial or contractual evidence rather than only low-confidence document extraction
- Review teams need discrepancy-level context across several source records before approving an outcome
- Insurance operations require verified data to pass into accounting, claims, reinsurance, compliance, or other enterprise systems
Final Verdict: Automation Anywhere vs Roots Automation
Automation Anywhere and Roots Automation now address insurance automation from distinctly different starting points. Automation Anywhere offers greater breadth when insurers need RPA, AI agents, documents, APIs, legacy interfaces, and human tasks coordinated across a wider enterprise environment. Roots Automation’s Bevaya platform goes deeper into underwriting, claims, and policy servicing through insurance-trained models, pre-built agents, managed implementation, and continuing model management.
The right choice depends on workflow scope, application access, document types, deployment policy, internal skills, exception levels, and the cost of maintaining the automation after launch. Scry AI becomes relevant when insurance, financial, treaty, or accounting records must be reconciled before the business accepts the result.