What Are the Best Moveworks Alternatives for the IT Service Desk?

This guide is for IT operations, infrastructure, and service desk leaders evaluating what comes next after Moveworks. ServiceNow completed its acquisition of Moveworks in 2025, and for enterprise teams that built workflows around the platform, this has created uncertainty around Moveworks’ future.

Choosing an agentic service desk automation platform requires looking past the demo and into how the platform handles your actual environment: hybrid infrastructure, cross-system orchestration, and the operational complexity that breaks most automation programs six months in.

Below, you'll find five alternatives to Moveworks evaluated against orchestration depth, autonomous resolution capabilities, integration coverage, and total cost of ownership.

Quick Guide: 5 Best Agentic Service Desk Platforms for Enterprise IT Operations

1. ‍Resolve: The best platform for end-to-end ITSM automation and cross-system orchestration
2. ‍Aisera: Multi-department AI agent platform with pre-built service desk workflow‍
3. BMC Helix: Legacy ITSM platform with added AI categorization and cognitive service capabilities‍
4. Freshservice: Portal-based ITSM tool with AI-assisted ticket routing and virtual agent add-on‍
5. Kore.ai: Conversational AI platform with pre-built IT service desk agents and multi-agent orchestration‍

How We Chose the Best AI Service Desk Automation Platforms

The platforms on this list were selected based on how well they address the operational realities enterprise IT teams face when replacing Moveworks. Each platform was evaluated against criteria that predict whether it will hold up in production, not just in a demo environment.

• Time to value: How quickly can your team deploy foundational workflows and start measuring outcomes? Platforms that require months of professional services before the first automation runs create a gap between contract signing and operational impact.
• Autonomous resolution rate: Can the platform resolve tickets end to end without human intervention, or does it stop at classification and routing? Platforms that close the loop on their own reduce ticket volume. Platforms that just triage create a different kind of backlog.
• Cross-system orchestration depth: Does the platform execute workflows across your ITSM, identity provider, cloud infrastructure, and monitoring tools, or is it confined to a single domain? The use cases that surface real platform limits are the ones that cross several systems.
• Integration maturity: How many production-grade connectors does the platform maintain, and do they cover your actual stack (ServiceNow, Okta, Azure AD, Jira, Datadog, Splunk)? Connector count matters less than connector quality.
• Governance and auditability: Does the platform log every action, enforce role-based access, and maintain an audit trail? In regulated industries, this isn't optional.
• Total cost of ownership: What does the platform actually cost to run, including professional services, ongoing engineering maintenance, and ITSM licensing impact? The license fee is often the smallest part of the real number.

The 5 Best Agentic Service Desk Platforms for Enterprise IT Operations

1. Resolve: Best Overall Service Desk Automation Platform for Enterprise IT

Resolve approaches AI service desk automation differently from platforms that bolt AI onto existing ticketing systems. The IT Automation and Orchestration Platform combines deterministic workflows with AI agents to resolve tickets autonomously, orchestrate remediation across systems, and close the loop without human intervention.

Resolve is more than just a service desk tool. It's also an orchestration engine that connects your ITSM, identity management, cloud infrastructure, monitoring, and collaboration platforms into governed, automated workflows.

RITA, the agentic assistant, handles the employee-facing side: interpreting requests through chat or portal, diagnosing the issue using contextual data, triggering the right workflow, and updating the user when it's done.

Resolve was named the only Visionary in the 2026 Gartner Magic Quadrant for Service Orchestration and Automation Platforms (SOAP). Across its customer base, Resolve runs over 1 billion automations and has helped save more than $500 million annually, with customers reporting 90% or greater ticket reduction and MTTR improvements of up to 99%.

Resolve features

• Closed-loop autonomous resolution: RITA listens, triages, executes the workflow, and confirms the outcome with the user. Password resets, access requests, VPN troubleshooting, and software provisioning all resolve end to end without creating a ticket.
• 5,000+ pre-built automation components: A library of reusable workflows, integrations, and automation building blocks that cover common IT operations scenarios across ITSM, networking, cloud, and infrastructure.
• Cross-domain orchestration: Workflows execute across ServiceNow, Jira, Okta, Azure AD, AWS, Splunk, Datadog, and hundreds of other systems using native connectors, REST API, SNMP, SSH, and more.
• No-code to full-code flexibility: Build automation with a drag-and-drop workflow builder or write custom logic in a full-code environment. Both approaches run on the same engine with no performance trade-offs.
• Outcome Intelligence dashboards: Track ticket deflection, MTTR, automation completion rates, and cost per resolution in real time. Every automation maps back to a measurable business outcome.

Pros:

• End-to-end problem resolution reduces ticket volume by up to 90% and cuts MTTR by as much as 99% across enterprise environment
• Cross-system orchestration connects ITSM, identity, cloud, monitoring, and collaboration tools into a single governed workflow engine
• Fixed, predictable pricing with an ROI dashboard that links every automation to measurable business outcomes

Cons:

• Advanced orchestration scenarios that span five or more integrated systems may require initial workflow design time, though the platform's guided onboarding accelerates this
• Organizations with very small IT environments (under 500 employees) may not fully use the platform's enterprise-scale orchestration capabilities

2. Aisera: Multi-department AI Agent Platform for IT and HR Service Automation

Aisera positions itself as a general-purpose agentic AI automation platform with domain-specific agents for IT, HR, Finance, and customer support. The platform uses natural language understanding to interpret employee requests and execute resolution workflows through its pre-built "Hyperflows."

For IT service desk use cases, Aisera can handle ticket classification, knowledge retrieval, and some automated resolution. The platform includes an AI workflow builder and agent orchestration capabilities that let teams configure multi-step processes across connected systems.

Pros:

• Covers IT, HR and customer support use cases on a single platform, which can simplify vendor consolidation for multi-department automation
• Includes pre-built workflow templates (Hyperflows) that reduce initial configuration time for common service desk scenarios
• Offers an AI workflow builder and agent orchestration engine for teams building custom automation

Cons:

• Breadth across departments can mean the IT-specific automation depth is narrower compared to platforms focused exclusively on IT operations
• Onboarding and deeper customization may require vendor-managed professional services, which extends time to value and adds cost
• Cross-system orchestration for complex, multi-domain IT workflows is still developing compared to purpose-built IT automation platforms

3. BMC Helix: Legacy ITSM Platform with AI-assisted Categorization and Cognitive Services

BMC Helix is a traditional ITSM platform that has added AI capabilities through its cognitive service layer. The platform uses machine learning for ticket categorization, classification, and routing, and more recently has introduced agentic AI features for incident and change management.

BMC Helix fits organizations that already run BMC infrastructure and want to add AI-assisted capabilities on top of their existing ITSM investment. The platform's architecture reflects its history as an on-premises ITSM suite, now available in cloud and hybrid deployments.

Pros:

• AI-assisted categorization and classification improve routing accuracy for organizations processing high ticket volumes
• Agentic AI features for incident management are being added, expanding the platform beyond basic ticket routing
• Integrates with the broader BMC ecosystem, which suits enterprises already running BMC infrastructure

Cons:

• AI capabilities are layered onto a legacy ITSM architecture, which can limit how deeply automation reaches into cross-system workflows
• Total cost of ownership is higher due to the platform's infrastructure requirements and the engineering effort needed to maintain and extend automation
• The platform's AI features are newer additions, and production maturity for autonomous resolution use cases is still building compared to platforms designed with AI at the core

4. Freshservice: Portal-based ITSM with AI-assisted Ticket Routing

Freshservice by Freshworks is a cloud-based ITSM platform that offers incident, problem, change, and asset management with AI-assisted capabilities layered on top. The Freddy AI agent handles ticket classification, suggests responses, and can resolve some requests through a virtual agent interface.

Freshservice works well for IT teams transitioning from email-based or ad-hoc support to a structured ITSM environment. The platform's strength is its approachable interface and lighter operational overhead compared to enterprise-grade ITSM suites.

Pros:

• Approachable interface and faster deployment compared to heavyweight ITSM platforms, making it a reasonable starting point for teams new to structured IT service management
• Freddy AI handles basic ticket classification and response suggestion, which reduces manual triage work
• Includes incident, problem, change, and asset management in a single platform

Cons:

• AI capabilities are layered onto a portal-based operating model, which means the platform classifies and routes tickets rather than resolving them autonomously
• Cross-system orchestration for complex workflows (identity provisioning, infrastructure remediation, multi-tool diagnostics) is limited compared to platforms built for cross-domain automation
• The platform is designed around a conventional ITSM model where a human closes most requests, which limits the ceiling for ticket deflection and autonomous resolution

5. Kore.ai: Conversational AI Platform with Pre-built IT Service Desk Agents

Kore.ai is an enterprise conversational AI platform that offers pre-built agents for IT, HR, and customer service. The platform includes multi-agent orchestration, an agent marketplace with 300+ pre-built agents, and no-code/pro-code development tools for building custom workflows.

For IT service desk use cases, Kore.ai agents can interpret employee requests, search knowledge bases, and execute some resolution workflows. The platform is model-agnostic and cloud-agnostic, which gives teams flexibility in how they deploy and run their AI infrastructure.

Pros:

• Multi-agent orchestration allows multiple AI agents to collaborate, share context, and hand off tasks across IT, HR, and customer support
• Model-agnostic and cloud-agnostic architecture gives teams flexibility in LLM selection and deployment environment
• Agent marketplace with 300+ pre-built agents reduces development time for common IT service desk scenarios

Cons:

• The platform's broad scope across conversational AI use cases means IT-specific orchestration depth is narrower compared to platforms focused exclusively on IT operations and infrastructure automation
• Complex deployments across enterprise environments may require extended onboarding and planning, particularly for teams without a defined starting point
• Documentation for newer connectors and integrations is still catching up, which can add time during initial configuration

Comparison Table: Moveworks Alternatives for AI Service Desk Automation

The 5 Criteria That Matter When Selecting AI Service Desk Platforms

1. Does the platform resolve tickets or just route them?

This is the single most important distinction. Some platforms classify and triage tickets, then hand them to a human. Others execute the full workflow from request to resolution. Ask the vendor: what percentage of tickets does the platform close without human involvement in production environments comparable to mine?

2. How deep does the orchestration go?

A workflow that resets a password through Active Directory is table stakes. A better test would be a multi-step remediation that spans your ITSM, identity provider, cloud environment, and monitoring stack in a single governed workflow. Workflows confined to a single system rarely surface architectural limits.

3. What does the platform cost to run, not just to buy?

The license fee may be the number that goes into the budget request, but make sure you factor in professional services, ongoing engineering time, ITSM licensing changes, and the cost of maintaining automations as your environment evolves.

4. How quickly do foundational workflows go live?

Platforms that require months of professional services before your first automation runs create a gap between contract signing and operational value. Ask the vendor: how many days from contract to first production workflow?

5. Can you audit every action the platform takes?

In regulated industries, every automated action needs a traceable audit trail. Ask the vendor to show you the governance model: role-based access controls, action logging, and compliance reporting. A platform that can't demonstrate embedded governance isn't ready for enterprise production environments.

Frequently Asked Questions

Why are IT teams looking for Moveworks alternatives?

ServiceNow completed its acquisition of Moveworks in 2025, which has prompted many enterprise IT teams to re-evaluate their AI service desk strategy. Teams that built workflows on the platform are assessing whether the post-acquisition roadmap aligns with their automation goals, integration requirements, and budget expectations. The uncertainty around product direction, combined with the opportunity to evaluate platforms with deeper orchestration capabilities, is driving the shift.

What is autonomous ticket resolution, and why does it matter?

Autonomous ticket resolution means the platform handles the full lifecycle of a service desk request, from intake to resolution, without human intervention. The platform interprets the request, diagnoses the issue, executes the workflow, and confirms the outcome with the user.

This differs from AI-assisted triage, where the platform classifies and routes the ticket but still requires a human to close it. Resolve's closed-loop approach enables customers to reduce ticket volume by up to 90% and cut MTTR by as much as 99%.

How do I calculate the total cost of ownership for an AI service desk platform?

Start with the license fee, then add professional services for implementation, ongoing engineering time for maintenance and workflow development, ITSM licensing impact, and training costs. Some platforms will increase your ITSM spend, while others might reduce it.

Ask the vendor for reference customers running environments with complexity comparable to yours and request their actual TCO breakdown.

Can AI service desk automation work with our existing ITSM platform?

Yes. Purpose-built AI service desk automation platforms are designed to work alongside your existing ITSM, not replace it. Resolve integrates with ServiceNow, Jira, and other ITSM platforms as the system of record while automating ticket resolution, triage, and remediation across connected systems. The ITSM remains the source of truth for tickets and reporting while automation handles the repetitive operational work.