Top 9 Kore.ai Alternatives for Process Automation

Kore.ai Alternatives for Process Automation in 2025

Kore.ai is an enterprise platform known for automating IT service management, HR workflows, and customer support using conversational AI. It offers strong NLP (natural language processing), out-of-the-box ITSM integrations, and prebuilt templates that speed up deployment in service-heavy environments.

However, as automation strategies evolve in 2025, many enterprises, especially those in regulated sectors, need platforms that go beyond chatbots and ticket deflection. The focus has shifted toward full-process orchestration, governance-first architecture, and agentic automation that can mirror human decision-making across complex workflows.

If you're looking for Kore.ai alternatives that provide deeper orchestration, compliance, or broader enterprise fit, these are the top contenders.

1. AgentFlow (Multimodal.dev)

For regulated enterprises automating high-stakes workflows like underwriting or claims, AgentFlow offers the most governance-forward approach to agentic AI.

Unlike Kore.ai, which centers on conversational experiences, AgentFlow orchestrates full workflows with explainability, model selection, and auditability built in.

Its standout strengths include private deployments, confidence-scored decisions, and templates purpose-built for finance and insurance, domains where compliance isn’t optional.

AgentFlow uniquely balances technical flexibility with business configurability, enabling SMEs to guide agent behavior without code. While it doesn't prioritize chatbot UX, that’s a conscious trade-off in favor of governed, production-grade automation.

• Key Features: Multi-agent orchestration, audit trails, confidence scoring, business-configurable logic
• Best For: Regulated industries like finance and insurance
• Pros: Strong compliance tooling, domain-specific templates, VPC deployment options
• Cons: Less optimized for chatbot interfaces
• Pricing: Custom enterprise pricing; SOC 2 Type II deployments

2. UiPath

UiPath is best suited for enterprises modernizing legacy desktop or back-office workflows. While Kore.ai focuses on natural language interfaces, UiPath excels in system-level orchestration through robotic process automation (RPA) and AI-enhanced document processing.

Its strengths lie in automating legacy systems and offering deep administrative controls for governance. UiPath’s ability to combine RPA with machine learning makes it powerful for bridging old and new systems.

However, it requires specialized RPA knowledge and lacks the conversational fluency of Kore.ai.

• Key Features: RPA, document processing, legacy system automation, AI Center
• Best For: Enterprises modernizing legacy RPA estates
• Pros: Deep automation capability, hybrid deployment, strong admin tooling
• Cons: Requires RPA expertise, not chat-focused
• Pricing: Tiered pricing based on bot usage

3. Aisera

For teams automating IT, HR, and support requests, Aisera offers a more plug-and-play experience than Kore.ai.

Like Kore.ai, it focuses on service desk workflows, but it emphasizes prebuilt integrations and certifications like HIPAA and SOC 2 for quicker deployment in enterprise environments.

Aisera offers strong overlap with Kore.ai but differentiates with its ease of setup and pre-trained virtual agents. It's an attractive option for organizations that want fast automation with minimal configuration. Its trade-off is a narrower focus, it’s not built for cross-functional or multi-agent workflows.

• Key Features: AI service desk, virtual agents, ITSM/HR integrations
• Best For: IT and HR teams seeking quick automation wins
• Pros: Easy setup, enterprise-ready compliance, fast time-to-value
• Cons: Narrower scope beyond service desk
• Pricing: SaaS model with enterprise options

4. IBM Watsonx Orchestrate

IBM Watsonx Orchestrate fits best in hybrid enterprise environments that already depend on IBM Cloud or software infrastructure. Unlike Kore.ai, which is centered on chat-based interactions, Watsonx is designed to automate back-end workflows using digital workers and task orchestration.

Its main strengths are hybrid deployment flexibility, responsible AI tooling, and deep enterprise support. For companies with large IBM investments, it’s a natural path to orchestrated automation.

The trade-off is that conversational UI is not a core focus.

• Key Features: Digital workers, hybrid deployment, governance frameworks
• Best For: IBM-aligned enterprises needing hybrid automation
• Pros: Deep support, hybrid flexibility, responsible AI integration
• Cons: Less focused on conversational UX
• Pricing: Part of the broader Watsonx suite

5. ServiceNow (Now Assist + AI Agents)

ServiceNow’s Now Assist expands the capabilities of the company’s dominant workflow platform by embedding agentic automation directly into existing ITSM, HR, and customer support modules. Unlike Kore.ai, which builds around conversation design, ServiceNow integrates AI agents into its native process engine, offering tighter control and better alignment with ServiceNow data.

It stands out with enterprise-grade governance features like Control Tower and native role-based access. For teams already committed to the ServiceNow ecosystem, this is the most efficient path to embedded automation.

The main limitation is that it delivers the most value only within the ServiceNow platform.

• Key Features: Embedded AI agents, Control Tower, native governance
• Best For: Enterprises already using ServiceNow
• Pros: Deep platform alignment, strong governance, process-native AI
• Cons: Less value outside the ServiceNow ecosystem
• Pricing: Add-on to existing ServiceNow licensing

6. Beam.ai

Beam.ai is best suited for teams looking to operationalize orchestration across a growing catalog of business processes. Unlike Kore.ai, which centers on conversation-led automation, Beam focuses on agent lifecycle management and compliance observability.

Its advantages include a managed orchestration layer and a growing template library tailored to enterprise needs. Beam supports RBAC, monitoring, and deployment flexibility, important for compliance-conscious buyers.

However, its conversational features are limited and its enterprise references are still maturing.

Here is the list of the top 9 AI alternatives to Beam.ai.

• Key Features: Agent orchestration, lifecycle management, SOC 2 compliance
• Best For: Orgs prioritizing orchestration over conversation
• Pros: Strong admin tools, template library, compliance posture
• Cons: Fewer conversational UX capabilities
• Pricing: SaaS subscription with enterprise options

7. Relevance AI

Relevance AI targets mid-market teams seeking quick wins with no-code AI workers for internal processes.

While Kore.ai focuses on robust conversational design, Relevance excels in simplicity, allowing non-technical teams to deploy agents fast. Its SOC 2 Type II compliance and data privacy claims make it enterprise-ready, even if its feature set is narrower.

Relevance works well for business teams in sales, support, or ops that need automation without deep orchestration complexity. The downside is limited scalability for complex, cross-functional workflows.

• Key Features: AI workers, no-code interface, compliance focus
• Best For: Mid-market teams with minimal IT support
• Pros: Fast deployment, business-friendly, plug-and-play
• Cons: Limited depth in multi-step orchestration
• Pricing: Tiered SaaS pricing

8. Google Agentspace

Google Agentspace fits companies already committed to the Google Cloud ecosystem. Unlike Kore.ai, which is platform-agnostic, Agentspace provides native hooks into Workspace and Vertex AI for tightly integrated automation.

It’s ideal for teams using Gmail, Docs, or BigQuery as part of their operational stack. Advantages include built-in security policies, enterprise-grade controls, and simplified provisioning.

However, its product maturity is limited, and adoption outside of GCP remains low.

• Key Features: GCP-native agent builder, Workspace integration, secure provisioning
• Best For: GCP-centric organizations
• Pros: Tight GCP alignment, strong security, easy setup
• Cons: Limited use outside Google ecosystem
• Pricing: Usage-based via GCP

9. Sana

Sana is designed for knowledge-heavy environments that require accurate search and action across unstructured data.

While Kore.ai excels in ticket and task automation, Sana differentiates with its RAG-style retrieval pipeline and permission-aware automation. It offers a strong compliance profile and is especially valuable in legal, healthcare, and documentation-heavy fields.

The platform shines in scenarios where grounded responses and document context matter more than dialog trees. Its trade-off is limited applicability to transactional workflows like ITSM or HR service desks.

• Key Features: Enterprise search, permission-aware agents, document-grounded actions
• Best For: Knowledge-first enterprises
• Pros: Strong retrieval, security certifications, grounded automation
• Cons: Narrow fit for transactional automation
• Pricing: Enterprise subscriptions available

The Verdict: Which Is the Best Process Automation Platform?

Choosing the right Kore.ai alternative comes down to your goals:

• For end-to-end financial or insurance workflow automation with auditability: Choose AgentFlow.
  
  
• For RPA modernizations at scale: Choose UiPath.
  
  
• For fast ITSM/HR deployment: Choose Aisera or ServiceNow.
  
  
• For hybrid cloud and enterprise alignment: Choose IBM Watsonx Orchestrate.
  
  
• For mid-market teams needing fast setup: AgentFlow.
  
  

If your workflows are mission-critical, regulated, and complex, AgentFlow is the only platform built with both IT and business stakeholders in mind.

Book a demo to see how AgentFlow automates your entire workflow, not just one task.