CCW Vegas

Join us in Las Vegas, June 22–25 for live AI demos, roundtables & 1:1s

Book a 1:1

Table of contents

Reading progress

Summarize this content with AI:

ChatGPTPerplexityGemini

TL;DR

  • The acquisition of Moveworks by ServiceNow will affect the market, particularly those businesses that do not have ServiceNow implemented.
  • It all depends on what you want, whether it be autonomous execution of tasks by IT, search within the company, ITSM, customer support, or anything else.
  • Platforms based on artificial intelligence can perform the task, but ITSM tools are usually used to assist humans.
  • Thunai is worth considering when it comes to customer support with voice, chat, email, CCaaS integration, AI agent, and call quality assurance.

Is your AI service desk still the right investment after ServiceNow acquired Moveworks? 

For CEOs and IT leaders, this is no longer just about choosing a smarter chatbot. 

It is about lowering support costs, automating real work, and avoiding long-term platform dependency. 

The following article will list 7 Moveworks alternatives in 2026 that will help you in making the right choice.

The short answer

The right Moveworks alternative will be different depending on your actual problem. Here's the short answer:

Evaluation Category Best Platform Core Architectural Strength Target Deployment Profile
AI-Native IT Execution Console Direct chat resolution and deep access provisioning Slack or Teams environments needing high auto-resolution
Enterprise Search Glean / GoSearch Unified enterprise RAG and cited cross-app retrieval Knowledge-intensive teams needing cross-silo discovery
Cross-Department AI Kore.ai Enterprise orchestration and complex dialogue governance Large organizations coordinating multi-system workflows
Multi-Domain Breadth Aisera Broad pre-built domain taxonomies across IT and HR Enterprises seeking unified internal service management
ITSM Modernization Freshservice / Jira Service Management AI assistance embedded into proven ITIL workflows Desks modernizing existing ticketing processes
Mid-Market Agentic ITSM Rezolve.ai Turnkey Teams service desk with rapid deployment Mid-sized firms targeting fast time-to-value
Customer-Facing Agentic AI Thunai Omnichannel voice, chat, screen-share, and 100% QA Contact centers running Amazon Connect, NICE, or Genesys
AI-Native IT Execution
Best Platform
Console
Core Architectural Strength
Direct chat resolution and deep access provisioning
Target Deployment Profile
Slack or Teams environments needing high auto-resolution
Enterprise Search
Best Platform
Glean / GoSearch
Core Architectural Strength
Unified enterprise RAG and cited cross-app retrieval
Target Deployment Profile
Knowledge-intensive teams needing cross-silo discovery
Cross-Department AI
Best Platform
Kore.ai
Core Architectural Strength
Enterprise orchestration and complex dialogue governance
Target Deployment Profile
Large organizations coordinating multi-system workflows
Multi-Domain Breadth
Best Platform
Aisera
Core Architectural Strength
Broad pre-built domain taxonomies across IT and HR
Target Deployment Profile
Enterprises seeking unified internal service management
ITSM Modernization
Best Platform
Freshservice / Jira Service Management
Core Architectural Strength
AI assistance embedded into proven ITIL workflows
Target Deployment Profile
Desks modernizing existing ticketing processes
Mid-Market Agentic ITSM
Best Platform
Rezolve.ai
Core Architectural Strength
Turnkey Teams service desk with rapid deployment
Target Deployment Profile
Mid-sized firms targeting fast time-to-value
Customer-Facing Agentic AI
Best Platform
Thunai
Core Architectural Strength
Omnichannel voice, chat, screen-share, and 100% QA
Target Deployment Profile
Contact centers running Amazon Connect, NICE, or Genesys

If your ServiceNow environment is mature and deeply configured, staying put often makes sense. If you're running something else, or you need to automate a contact center, that's where the Moveworks alternatives below earn their place.

What the ServiceNow acquisition changes for buyers

  • ServiceNow’s purchase of Moveworks occurred on March 10, 2025. The acquisition was finalized on December 15, 2025, at the cost of $2.85 billion.
  • This did not take long before ServiceNow released EmployeeWorks, which integrated Moveworks conversational search into the workflow engine of ServiceNow. 
  • This took place in February 2026. Later, in May 2026, ServiceNow went ahead and integrated EmployeeWorks, Now Assist, and its AI layer into one front end known as Otto.
  • Existing Moveworks contracts still stand, and standalone sales haven't stopped. But the product roadmap has clearly shifted toward the Now Platform. 
  • Support is migrating into ServiceNow Now Support. If your organization doesn't run ServiceNow, that shift is reason enough to start comparing Moveworks alternatives now, not later.

What it means if ServiceNow is your system of record

  • If you're already deep in ServiceNow, this acquisition probably works in your favor. 
  • EmployeeWorks gives you a conversational front door wired directly into Now Platform workflows and governance. 
  • No middleware to maintain. CMDB queries get simpler. Vendor management consolidates under one contract. 
  • For these teams, staying is the low-friction choice.

What it means if it is not

This is not the case for teams using Jira Service Management, Freshservice, Zendesk, and Salesforce. 

The investment in engineering for native ServiceNow integrations is happening first, which does raise the valid point of how the third-party connectors will continue to compete.

It's also common for acquired products to get folded into premium bundles at renewal time, which quietly erodes your negotiating leverage. 

That combination is pushing a lot of non-ServiceNow buyers to shop around.

Why teams evaluated alternatives even before the acquisition

The acquisition accelerated a search that was already underway. Procurement and IT teams had real complaints about Moveworks well before the deal closed:

  • Departmental scope. It was built for internal IT and HR, with no real support for customer-facing operations.
  • Access provisioning limits. Time-bound, granular access automation often needed heavy custom integration work.
  • Administrative overhead. Routine workflow changes frequently required going through a vendor CSM instead of doing it yourself.
  • Workflow friction. Coordinating actions across Slack, Teams, and Jira created ongoing sync headaches.
  • Opaque pricing. Headcount-based enterprise pricing penalized companies with low per-employee ticket volume.
  • No contact center channel. There was no native voice telephony, call auditing, or contact center co-pilot support.

Those gaps, not just the acquisition, are what sent buyers looking elsewhere.

Two camps: AI-native execution versus ITSM with AI attached

The AI help desk market really splits into two different architectures, and this distinction matters more than most vendor pitches let on.

Architectural Camp Operational Workflow Technical Fulfillment Model Resolution Impact
ITSM with AI Attached Classifies intent, summarizes, routes to human queues Human agents manually fulfill requests in backend systems Cuts triage time, but labor costs stay tied to manual fulfillment
AI-Native Execution Understands intent, validates policy, executes backend actions autonomously Autonomous execution via Okta, Entra ID, MDM, or cloud apps Removes the fulfillment backlog by resolving requests end-to-end
ITSM with AI Attached
Operational Workflow
Classifies intent, summarizes, routes to human queues
Technical Fulfillment Model
Human agents manually fulfill requests in backend systems
Resolution Impact
Cuts triage time, but labor costs stay tied to manual fulfillment
AI-Native Execution
Operational Workflow
Understands intent, validates policy, executes backend actions autonomously
Technical Fulfillment Model
Autonomous execution via Okta, Entra ID, MDM, or cloud apps
Resolution Impact
Removes the fulfillment backlog by resolving requests end-to-end

Traditional ITSM suites bolt a language model onto an existing ticketing flow. The intake conversation feels smart, but a human still resets the password or provisions the access behind the scenes. That's where most of the labor cost actually lives between the ticket being logged and the work getting done.

AI-native platforms skip that handoff. An employee requesting app access triggers authentication and verification, followed by routing of the request within the chat and API-driven provisioning of the entitlement. There is no request waiting to be actioned by a human being in a queue.

When you're comparing Moveworks alternatives, ask directly: does this platform execute the task, or does it just describe the task to someone else who will?

The 7 best Moveworks alternatives

Console - best for AI-native IT execution

console-ai-native-itsm-platform

Console is an ITSM software designed for solving IT-related problems within the organization via Slack and Microsoft Teams.

  • What it is: An ITSM service platform residing in Slack and Teams.
  • Best for: Teams that want autonomous resolution of internal IT tickets and software entitlements, not just faster routing.
  • Strengths: Autonomous resolution rates above 50% on routine IT requests, with some production deployments reaching 87%. Strong identity and access automation.
  • Limitations: Internal IT and access only; no customer-facing capability.
  • Deployment model: Cloud Saas with Chat Integrations.
  • Price: Usage-based and linked to workflows rather than seat fees.

If your team needs a product that is close in terms of architecture to Moveworks but without reliance on humans, try Console.

Kore.ai - best for cross-department conversational AI at enterprise scale

kore-ai-enterprise-conversational-ai-platform

The Kore.ai platform is a Conversational AI for Enterprise, which automates complicated processes in IT, HR, procurement, and other departments of any company.

  • What it is: Business chat software with a no-code agent builder and dialogue governance.
  • Ideal for: Enterprises that require development of complex agents in various departments, such as IT, HR, procurement, operations, etc.
  • Pros: LLM orchestration, strong dialogue management capabilities, multilingual capabilities.
  • Limitations: Building custom workflows takes real administrative and technical effort.
  • Deployment options: Multi-cloud, hybrid, and on-premises deployment options.
  • Cost: Custom, per session, bots, and platform level.

Kore.ai stands out when the scope is broad enterprise orchestration rather than a single department.

Glean and GoSearch - best when the real problem is enterprise search

gosearch-ai-enterprise-search-platform

GoSearch is a search engine that utilizes artificial intelligence in searching for information from different business systems.

  • What it is: A generative search engines that index across drives, chat, wikis, and internal databases.
  • Best for: Knowledge-intensive companies where the real problem is sourcing valid information rather than completing tasks.
  • Strengths: Permission-based RAG with citations to validate answers.
  • Limitations: Retrieval-focused; doesn't execute backend IT tasks or provision access.
  • Deployment model: Cloud SaaS.
  • Pricing: Per-user annual subscription.

If your teams keep re-asking questions that already have answers buried somewhere in your stack, this is the fix, not a task-execution platform.

Aisera - best for multi-domain breadth

aisera-ai-service-automation-platform

Aisera is a service automation solution that utilizes AI in order to aid IT, HR, and customer service processes.

  • What it is: A platform that delivers automation of enterprise services such as IT, HR, and customer support, along with pre-built domain packs.
  • Best for: Enterprises that want an AI-based platform for their internal services as well as ticketing services.
  • Strengths: A huge selection of pre-made integrations and service catalogs across departments.
  • Limitations: Implementation overhead is real; expect professional services time to align taxonomies.
  • Deployment model: Cloud SaaS.
  • Pricing: Custom, based on modules and interaction volume.

In head-to-head Moveworks vs. Aisera comparisons, Aisera generally wins on out-of-the-box departmental coverage.

Freshservice and Jira Service Management - best for modernizing an existing service desk

freshservice-ai-itsm-platform

Freshservice is an ITSM cloud computing solution that enables incident, asset, change, and service request management with the help of AI.

  • What it is: Established ITSM suites with generative AI layered in (Freddy AI, Atlassian Rovo).
  • Best for: Desks standardizing on structured ITIL processes and developer-aligned workflows.
  • Strengths: High-level incident, assets, and change management; highly aligned to Atlassian and/or Freshworks platforms.
  • Limitations: Designed for agent-assisted triaging process, but not end-to-end resolution.
  • Deployment model: Cloud SaaS deployment.
  • Pricing: Published per-agent subscription.

Both are dependable choices if the goal is modernizing what you already have, not replacing it.

Rezolve.ai - best for mid-market agentic service desk

rezolve-ai-agentic-service-desk

Rezolve.ai is a solution that utilizes AI capabilities to manage employee service desk requests and automate IT/HR processes on Microsoft Teams.

  • What it is: It is a dedicated agent service desk solution for Microsoft Teams.
  • Best for: Medium enterprises that need to see value fast in Microsoft Teams.
  • Strengths: 65% to 70% of support queries are addressed on the platform itself by the staff on their own, within 2 to 4 weeks from the date of deployment.
  • Weaknesses: It lacks the required coupling with the on-premises system required by some large organizations.
  • Deployment Model: The platform is natively deployed on Microsoft Teams as a SaaS solution.
  • Cost: Clear cost structure with price starting from $2.50 to $3.00 per user per month.

Rezolve.ai could be said to be the quickest Moveworks competitor available for Microsoft 365 customers.

Thunai - best when the harder problem is customer-facing

thunai-agentic-cx-platform

Thunai is an Agentic CX system that aims to automate customer service via voice, chat, email, and contact center transactions.

  • What it is: An Agentic CX system that automates the large-scale operation of the contact center in terms of voice, chat, and email.
  • Best for: Enterprises whose problem lies in the time required to solve their customer service issues.
  • Strengths: 
    • Thunai can plug right into current CCaaS technology platforms like NICE, Amazon Connect, Genesys, RingCentral, and Microsoft Teams Phone without dismantling the underlying architecture.
    • It provides human-like AI agents in more than 150 languages, co-pilot support for human agents, and voice agent technology with screen-share capabilities.
    • It also automates 100% of call scoring and QA review. Real deployments back this up: Bazooka Candy cut ticket triage time by 60% and projected $4M in annual supply chain savings, and a large retail client automated more than 210,000 monthly calls at a 78% deflection rate while holding a 4.8+ CSAT score. 
    • Setup takes under two days.
  • Limitations: Built for customer experience, not internal ITIL ticketing.
  • Deployment model: Cloud AI layer over existing contact center telephony.
  • Pricing: Scalable, based on capacity and interaction volume.

For companies whose real problem lives in the contact center rather than the internal help desk, Thunai is the strongest Moveworks alternative on this list. Worth a look: Thunai's Enterprise Contact Center overview.

Full comparison table

Vendor Primary Architecture Channel Footprint Deployment Time Pricing & Commercials Governance & Audit Level
Moveworks Hybrid Orchestration Slack, Teams, Web 8-16 Weeks Custom Per Employee Enterprise SOC2, FedRAMP
Console Autonomous Execution Slack, Teams, G-Chat 2-4 Weeks Usage-Based Granular Access Audit
Kore.ai Multi-Agent Orchestration Omnichannel (30+) 12-24 Weeks Custom Quoted Enterprise Dialog Audit
Glean / GoSearch Retrieval (RAG) Browser, Slack, Teams 1-3 Weeks Per User Annual Permission-Aware Access
Aisera Hybrid Execution Web, Slack, Teams 8-16 Weeks Custom Enterprise Role-Based Access Control
Freshservice / JSM AI-Assisted Ticketing Portal, Email, Teams 4-8 Weeks Per Agent Monthly Standard ITSM ITIL Logs
Rezolve.ai Autonomous Execution MS Teams Native 2-4 Weeks Per Employee ($2.50+) Integrated Teams Logs
Thunai Autonomous CX Execution Voice, Chat, Email, CCaaS Under 2 Days Interaction Capacity 100% Call QA & Voice Logs
Moveworks
Primary Architecture
Hybrid Orchestration
Channel Footprint
Slack, Teams, Web
Deployment Time
8-16 Weeks
Pricing & Commercials
Custom Per Employee
Governance & Audit Level
Enterprise SOC2, FedRAMP
Console
Primary Architecture
Autonomous Execution
Channel Footprint
Slack, Teams, G-Chat
Deployment Time
2-4 Weeks
Pricing & Commercials
Usage-Based
Governance & Audit Level
Granular Access Audit
Kore.ai
Primary Architecture
Multi-Agent Orchestration
Channel Footprint
Omnichannel (30+)
Deployment Time
12-24 Weeks
Pricing & Commercials
Custom Quoted
Governance & Audit Level
Enterprise Dialog Audit
Glean / GoSearch
Primary Architecture
Retrieval (RAG)
Channel Footprint
Browser, Slack, Teams
Deployment Time
1-3 Weeks
Pricing & Commercials
Per User Annual
Governance & Audit Level
Permission-Aware Access
Aisera
Primary Architecture
Hybrid Execution
Channel Footprint
Web, Slack, Teams
Deployment Time
8-16 Weeks
Pricing & Commercials
Custom Enterprise
Governance & Audit Level
Role-Based Access Control
Freshservice / JSM
Primary Architecture
AI-Assisted Ticketing
Channel Footprint
Portal, Email, Teams
Deployment Time
4-8 Weeks
Pricing & Commercials
Per Agent Monthly
Governance & Audit Level
Standard ITSM ITIL Logs
Rezolve.ai
Primary Architecture
Autonomous Execution
Channel Footprint
MS Teams Native
Deployment Time
2-4 Weeks
Pricing & Commercials
Per Employee ($2.50+)
Governance & Audit Level
Integrated Teams Logs
Thunai
Primary Architecture
Autonomous CX Execution
Channel Footprint
Voice, Chat, Email, CCaaS
Deployment Time
Under 2 Days
Pricing & Commercials
Interaction Capacity
Governance & Audit Level
100% Call QA & Voice Logs

Employee support and customer support are different purchases

One mistake shows up again and again: trying to run internal and external support through the same platform. They're just not the same problem.

Operational Dimension Internal Employee Support External Customer Support (Contact Center)
Response SLAs Multi-hour windows (4 to 24 hours) Sub-second responsiveness on voice and chat
Identity Verification Enterprise SSO, Active Directory, Okta Telephony ANI, CRM records, order data, OTPs
Error Tolerance High: employees rephrase and clarify Low friction here damages the brand and drives churn
Channel Footprint Async chat (Slack, Teams) Real-time voice, chat, email, CCaaS
Escalation Path Async routing to Tier 2 queues Instant live transfer with full context and transcript
Response SLAs
Internal Employee Support
Multi-hour windows (4 to 24 hours)
External Customer Support (Contact Center)
Sub-second responsiveness on voice and chat
Identity Verification
Internal Employee Support
Enterprise SSO, Active Directory, Okta
External Customer Support (Contact Center)
Telephony ANI, CRM records, order data, OTPs
Error Tolerance
Internal Employee Support
High: employees rephrase and clarify
External Customer Support (Contact Center)
Low friction here damages the brand and drives churn
Channel Footprint
Internal Employee Support
Async chat (Slack, Teams)
External Customer Support (Contact Center)
Real-time voice, chat, email, CCaaS
Escalation Path
Internal Employee Support
Async routing to Tier 2 queues
External Customer Support (Contact Center)
Instant live transfer with full context and transcript

Internal ITSM tools generally lack the low-latency telephony, speech recognition, and agent co-pilot tooling a contact center needs. Companies with both needs typically run a dedicated Moveworks alternative internally and a specialized platform like Thunai for the contact center side.

Evaluation criteria and the RFP questions that matter

When you're comparing proposals and Moveworks pricing structures, a few pointed questions cut through the marketing fast:

moveworks-alternatives-rfp-evaluation-criteria
  1. Resolution definition. Does "resolved" mean the user saw a help article, or did the system actually complete the task through an API?
  2. Fulfillment automation. Can it provision and revoke time-bound access in Okta or Azure AD without custom scripting?
  3. Telephony integration. Does it plug natively into Amazon Connect, NICE, or Genesys?
  4. Model privacy. Can you choose the underlying LLM, and will the vendor commit contractually to zero training on your data?
  5. Maintenance dependency. Can your own admins adjust intents and build workflows without paying for professional services every time?

These five questions do more to separate real Moveworks alternatives from repackaged chatbots than any demo will.

When to stay with Moveworks

Sometimes the right move is no move. Staying makes sense if:

  • ServiceNow is your enterprise system of record across the business.
  • You're above 10,000 employees and benefit from Moveworks' pre-trained enterprise models.
  • Your automation need is strictly internal IT and HR, with no contact center requirement.
  • Your existing contract locks in multi-year price protection.

For organizations in that position, switching creates more friction than it solves.

How to design a pilot that measures resolution, not deflection

Deflection and resolution get confused constantly, and it costs teams real money. Deflection just means someone left a chat without filing a ticket that can hide an unresolved problem as easily as it can reflect a solved one. Resolution means the system actually finished the task.

A tight four-week pilot keeps vendors honest:

  • Week 1: Define target workflows. Pick 5 to 10 high-frequency, structured requests: password resets, software access, that kind of thing.
  • Week 2: Run parallel testing. Deploy alongside your human team on live queues, without auto-closing tickets, so you can check classification accuracy.
  • Week 3: Enable autonomous execution. Let the system complete end-to-end API actions and track how often a human still has to step in.
  • Week 4: Audit the metrics. Calculate the real autonomous resolution rate, average handle time change, CSAT, and the hours spent on prompt tuning.

Looking for AI that does more than route tickets? Book a demo with Thunai and see how agentic AI can automate real customer support work. 

FAQs on Moveworks Alternatives

Did ServiceNow acquire Moveworks? 

Yes. ServiceNow signed the agreement on March 10, 2025, and closed the deal on December 15, 2025, for about $2.85 billion. Moveworks' conversational search and reasoning tech now sits inside ServiceNow EmployeeWorks and Otto.

Should I still buy Moveworks after the acquisition? 

If you're standardized on ServiceNow, the acquisition strengthens the platform through deeper integration. If you're not, it introduces roadmap dependency and possible licensing cost increases, which is exactly why it's worth comparing Moveworks alternatives.

What is the best Moveworks alternative? 

It depends on the problem. Console leads for AI-native internal IT execution. Kore.ai fits large-scale conversational governance. Glean excels at enterprise search. Thunai is the strongest option for customer-facing contact centers.

What's the difference between ticket deflection and resolution? 

Deflection means a user left a chat or viewed an article without opening a ticket. Resolution means the software actually completed the request or fixed the issue end-to-end.

Can one AI platform handle both employee and customer support? 

Rarely well. Internal support is about access control, ITSM tickets, and async workflows. Customer support demands instant response times, voice CCaaS integration, and context-rich routing. Most enterprises get better resolution rates by running separate, specialized platforms for each.

Aditya Santhanam is a technology entrepreneur and the Co-Founder & CTPO of Thunai AI, Entrans Technologies, and Infisign. A former AWS product leader, he specializes in building advanced agentic AI systems and decentralized cybersecurity architectures.

Let AI Handle the Busywork.

Try Thunai yourself with a 16-day free trial

Get Started for Free
Get Started