Serval vs Aisera vs Moveworks vs Atomicwork - Comparison

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We used Oden to analyze Serval, Aisera, Moveworks, and Atomicwork so you don’t have to wade through marketing sites and scattered reviews. If you’re trying to cut ticket volume, improve time-to-resolution, or replace a legacy ITSM with something AI-native, the differences between these platforms matter. Below we pull from vendor documentation, G2 reviews, Reddit threads, and third‑party analyses to map out where each platform actually shines—and where it falls short.

Which AI IT Support platform has the best performance?

Here we use public review scores as a proxy for user‑reported performance and satisfaction. Only Aisera, Moveworks, and Atomicwork currently have G2 ratings; Serval relies on case studies rather than review aggregators.

Platform/ToolRating# ReviewsNotes
Servaln/a (no major aggregator rating yet)n/aEarly-stage AI-native ITSM; vendor case studies report >50% IT ticket automation at customers like Perplexity, but no independent aggregate rating, so results are anecdotal. Source: Serval – Perplexity case study, Reuters – Serval funding story
Aisera4.4 / 5147Mature agentic AI service platform with strong overall satisfaction; reviewers frequently praise automation and integrations but mention complex setup and higher cost. Data as of late 2025. Source: G2 – Aisera
Moveworks4.6 / 551Highest rating in this group but from a smaller sample; users highlight fast IT assistance, strong NLP, and Slack/Teams experience, with some concerns about cost and integration complexity. Source: G2 – Moveworks
Atomicwork4.0 / 51Single G2 review praising workflow deflection and automation, but one data point is not statistically meaningful—treat this as an early signal only. Source: G2 – Atomicwork

Takeaways

  • Only Aisera (147 reviews) and Moveworks (51) have enough G2 data to start drawing conclusions; Atomicwork (1) and Serval (none) don’t yet have statistically meaningful public ratings. Source: G2 – Aisera, G2 – Moveworks, G2 – Atomicwork
  • Moveworks edges out Aisera on average rating (4.6 vs. 4.4), but Aisera has nearly 3× as many reviews, which usually makes its score more stable statistically. Source: G2 – Aisera, G2 – Moveworks
  • Serval’s performance evidence is primarily vendor-driven (e.g., claims of automating over 50% of IT tickets and onboarding at Perplexity), so you should validate via pilots and references rather than review sites. Source: Serval – Perplexity case study, Serval – Process and pricing
  • Atomicwork’s early case studies show strong deflection (e.g., 50–65% ticket deflection and 60% of requests handled by its agent at some customers), but with almost no third‑party reviews yet. Source: Atomicwork – Homepage & case studies
  • Because sample sizes differ, you should pair these ratings with your own POC metrics (deflection rate, MTTR, CSAT) rather than choosing solely on G2 scores.

How much do AI IT Support platforms really cost?

Public pricing is sparse in this category. Only Atomicwork publishes a concrete per‑employee price; the others rely on custom enterprise quotes.

Platform/ToolFree/Trial tierMain billing unitsExample entry point
Serval4‑week guided pilot with a dedicated forward deployed engineer; positioned as “risk‑free” and used to prove ROI before full rollout. Source: Serval – Process and pricingSeat-based SaaS targeting enterprise IT; contracts typically include full ITSM, access management, automation, and support, with no separate implementation fees according to Serval’s ServiceNow comparison. Source: Sacra – Serval business model, Serval – Compare ServiceNowNo public list price; Serval emphasizes “all features included, no add‑on fees” and “no implementation fees,” with value proven in the pilot before committing. Source: Serval – Process and pricing, Serval – Compare ServiceNow
AiseraFree trial available; no free tier. Marketplace listings show low “from $1/year” placeholders for some components. Source: Capterra – Aisera pricingTypically per user/seat for IT/employee coverage, with enterprise contracts by domain (IT, HR, CX). Third‑party analyses describe deployments in the ~$50–$100 per user/month range for many enterprises. Source: PixieBrix – Aisera pricing overviewOne analysis cites a median annual spend around ~$90K for AI service management, with deals ranging from ~$50K–$120K+ depending on seats and domains; exact tiers are quote‑based. Source: PixieBrix – Aisera pricing
MoveworksNo free tier; offers demos and a “Playground” environment after talking to sales. Source: Moveworks – PricingCustom enterprise pricing, generally linked to number of employees and scope (IT only vs. multi‑department). Contracts are oriented toward large enterprises and often part of broader ServiceNow strategies after the announced acquisition. Source: Moveworks – Pricing, Investors.com – ServiceNow to acquire MoveworksForrester’s Total Economic Impact study cited on Moveworks’ pricing page highlights 256% ROI and $11.5M savings over 3 years for large customers, implying high six‑ or seven‑figure annual deals rather than SMB pricing. Source: Moveworks – Pricing
AtomicworkFree trial and “see pricing” flow; Professional plan publishes a starting price. Source: Atomicwork – PricingPrimarily priced per employee per year, with usage limits on API calls and third‑party actions that scale by tier. Source: Atomicwork – Pricing, Atomicwork – Legacy pricing pageProfessional tier starts “from $90 / employee / year” for companies with ~500–1000 employees; Business and Enterprise are custom but include unlimited access to Atom AI and higher API limits. Source: Atomicwork – Pricing

What this means in practice

  • Pricing is highly sensitive to employee count, scope (IT‑only vs. IT + HR + other functions), and required integrations. Two organizations of similar size can see very different quotes based on complexity and support levels.
  • Serval’s pitch is “transparent pricing, no implementation fees, and all features included,” which can lower total cost of ownership compared with legacy ITSM that charge heavily for customization and implementation—but you still need a quote to know the actual spend. Source: Serval – Compare ServiceNow
  • Aisera and Moveworks skew toward large enterprise budgets; third‑party estimates and TEI studies suggest they’re usually multi‑year, six‑figure‑plus contracts rather than tools you expense on a credit card. Source: PixieBrix – Aisera pricing, Moveworks – Pricing
  • Atomicwork is the only one here with transparent entry‑level pricing, which can make budgeting simpler for mid‑market teams or enterprises piloting AI ITSM in a few regions first. Source: Atomicwork – Pricing

Pricing also varies by region, usage, and contract terms. Always double-check current prices with each vendor's calculator or sales team.

What are the key features of each platform?

Serval

Core positioning: AI-native ITSM and automation platform that uses AI agents and code‑backed workflows to automate help desk, access, and asset operations.

Key Features:

  • Unified AI-native ITSM platform combining help desk, access management, workflow automation, and asset management, all powered by an AI agent workforce rather than bolt‑on bots. Source: Serval – Product overview
  • Multi‑channel help desk agent that resolves requests, provisions just‑in‑time access, and answers knowledge‑base questions via Slack, Microsoft Teams, email, phone, or web portal. Source: Serval – Documentation, Serval – Resolve Requests
  • “Vibe coding” workflow builder: IT admins describe workflows in natural language, Serval generates code‑based automations, renders them in a no‑code UI, and keeps everything under Git‑style version control with deterministic execution. Source: Serval – Build Workflows, Serval – Introducing Serval
  • Integrated AI-native access management that automates JIT provisioning/deprovisioning and enforces least‑privilege policies directly from ITSM workflows. Source: Serval – AI-native access management
  • Asset hub that ingests data from MDM, procurement, IdP, and HRIS tools, reconciles conflicts, and maintains a single source of truth for assets. Source: Serval – Manage Assets
  • Enterprise-grade security: SOC 2 Type 2 compliance, alignment with HIPAA and GDPR, role‑based access control, detailed audit logs, and options for cloud, hybrid, or fully self‑hosted deployment. Source: Serval – SOC 2 announcement, Serval – Built for enterprise

Best For:

  • High‑growth SaaS and AI companies that want to replace or sit alongside legacy ITSM (e.g., ServiceNow, Jira) with an AI‑native platform focused on automation rather than just ticket tracking. Source: Serval – Customer stories, Serval – Compare ServiceNow
  • IT and security teams that care about deep workflow automation plus access management and asset management in one system of record. Source: Serval – Product overview
  • Enterprises that need flexible deployment (including self‑hosted) and strong compliance while still moving quickly with AI‑driven automation. Source: Serval – Documentation
  • Organizations willing to run a guided pilot and co‑design automations with Serval’s forward‑deployed engineers. Source: Serval – Process and pricing

Aisera

Core positioning: Agentic AI platform that layers AI service automation across IT, HR, and customer service to auto‑resolve requests and deflect tickets.

Key Features:

  • AI Service Desk for IT that reduces service desk tickets, boosts employee self‑service, and improves agent productivity, with vendor‑reported metrics like 80% auto‑resolution and <1‑minute resolution in some deployments. Source: Aisera – AI Service Desk
  • System of AI agents (Aisera Assistant, Agent Assist, UniversalGPT, etc.) that can search knowledge, execute workflows, and integrate with enterprise apps using an “Agent Composer” and open standards backbone. Source: Aisera – Homepage
  • Deep integrations with ITSM and collaboration tools such as ServiceNow, Microsoft Teams, and Slack, frequently highlighted by users for automating repetitive ITSM tasks. Source: Aisera – AI Service Desk, G2 – Aisera reviews
  • Pre‑trained LLMs and conversational AI tuned for ITSM scenarios, plus an LLM Studio to adapt models using organizational knowledge and ticket data. Source: Aisera – Gartner MQ blurb, PixieBrix – Aisera overview
  • Demonstrated business impact in case studies, such as Lifescan achieving a 65% auto‑resolution rate and saving $2.2M in support costs. Source: PixieBrix – Aisera case studies

Best For:

  • Large enterprises that want a cross‑department AI platform spanning IT, HR, finance, and customer service rather than a pure ITSM replacement. Source: Aisera – Homepage
  • Organizations already invested in ServiceNow or similar ITSM who want to layer advanced AI and self‑service on top. Source: Aisera – AI Service Desk
  • Teams with budget and internal resources to handle a more complex, configurable AI implementation. G2 reviewers often note setup and tuning effort but good long‑term payoffs. Source: G2 – Aisera reviews

Moveworks

Core positioning: Universal AI copilot/assistant for employee support, unifying search and automation across all business applications.

Key Features:

Best For:

Atomicwork

Core positioning: AI-native ITSM & ESM platform with a “Universal Agent” (Atom) that combines chat, workflows, and analytics to modernize internal service delivery.

Key Features:

  • Agentic AI service desk that processes, routes, and resolves IT requests via Atom, an employee-facing universal AI agent embedded in Slack, Teams, email, and browser. Source: Atomicwork – AI service desk
  • Modern ITSM & ESM modules (incidents, problems, changes, assets) built into the same platform as the AI agent, so you’re not just plugging AI into a legacy ticketing system. Source: Atomicwork – Homepage
  • AI-powered self-service: Atom learns from knowledge bases, wikis, and historical conversations in Slack/Teams to answer questions and deflect tickets, with claims like 50–65% deflection and 60% of requests handled by Atom at some customers. Source: Atomicwork – Homepage & case studies, Atomicwork – Employee self-service
  • Transparent pricing with a Professional tier starting at $90/employee/year and higher tiers offering unlimited Atom access, custom governance, and API limits suitable for large enterprises. Source: Atomicwork – Pricing, Atomicwork – Legacy pricing page
  • Enterprise security and compliance stack including SOC 2, ISO 27701, HIPAA, GDPR, CCPA, and Microsoft 365 certification. Source: Atomicwork – Homepage

Best For:

What are the strengths and weaknesses of each platform?

Serval

Strengths:

  • Automation-first design. Serval’s core thesis is that it should be “easier to automate a task forever than to do it manually once,” with natural-language workflows that generate code and can automate a large share of tickets very quickly (e.g., Jamf’s write‑up describes automating up to 80% of tickets within hours). Source: Serval – Introducing Serval, Jamf – Serval AI demo
  • Proven high automation at early adopters. Case studies like Perplexity and Mercor report >50% of IT requests automated, fully automated onboarding flows, and 24/7 AI help desk coverage that handles requests while IT sleeps. Source: Serval – Perplexity case study, Serval – Mercor case study
  • Deep ITSM + access + asset integration. Instead of only answering FAQs, Serval ties help desk, access management, and asset management into a single AI-native platform, reducing tool sprawl and providing unified governance. Source: Serval – Product overview
  • Enterprise‑grade security with flexible deployment. SOC 2 Type 2, HIPAA, and GDPR alignment plus options for cloud, hybrid, or self‑hosted deployment make it attractive to security‑sensitive customers. Source: Serval – SOC 2 announcement, Serval – Built for Enterprise
  • High‑touch onboarding with guarantees. Serval offers a 4‑week guided pilot with a dedicated engineer and markets a “50% of your tickets automated, guaranteed” outcome before you commit. Source: Serval – Process and pricing, Sacra – Serval business model

Weaknesses:

  • Limited independent reviews. As of late 2025 there are no major aggregator ratings (e.g., G2, Capterra), so you’re relying on vendor case studies, press, and your own pilot rather than broad user feedback. (Based on web search; no G2 or Capterra listing found.)
  • Young company risk. Serval was founded in 2024 and is scaling rapidly, going from under 30 employees to a planned 100+ and achieving unicorn status off a $75M Series B—impressive, but it means shorter track record and potentially evolving processes. Source: Reuters – Serval funding, FinSMEs – Serval funding
  • Category hype around “AI agents for IT.” Practitioners on Reddit caution that many “AI agents for IT” are excellent at narrow repetitive tasks but fall short of the marketing promise of running your entire stack autonomously—so expectations and change management matter. Source: Reddit – Do AI agents for IT actually work?

Aisera

Strengths:

  • Solid, broad user satisfaction. A 4.4/5 rating across 147 G2 reviews indicates generally strong satisfaction, especially in automation and self‑service. Source: G2 – Aisera
  • Proven large-scale auto‑resolution. Case studies and third‑party summaries cite auto‑resolution rates in the 60–80% range and multi‑million‑dollar cost savings in some deployments (e.g., Lifescan saving $2.2M). Source: Aisera – Homepage & case studies, PixieBrix – Aisera case studies
  • Cross‑department reach. Aisera’s platform supports IT, HR, finance, and customer support, making it fit for organizations that want a single AI layer over multiple service domains. Source: Aisera – Homepage
  • Recognized by analysts. Aisera is highlighted in Gartner and IDC research on AI for ITSM and conversational AI, signaling maturity in the enterprise AI service automation space. Source: Aisera – Industry recognition

Weaknesses:

  • Complex setup and tuning. Multiple G2 reviewers mention that configuring Aisera, fine‑tuning responses, and aligning it with internal workflows requires significant technical effort and ongoing tuning. Source: G2 – Aisera reviews
  • Pricing opacity and enterprise focus. Users and third‑party analyses describe Aisera pricing as opaque and generally geared toward enterprise budgets, with comments that it can be expensive for smaller companies. Source: G2 – Aisera reviews, PixieBrix – Aisera pricing
  • Documentation and analytics usability. Some reviewers note that advanced analytics and reporting are less intuitive than they’d like, and documentation could be more structured for self‑serve configuration. Source: G2 – Aisera reviews

Moveworks

Strengths:

Weaknesses:

Atomicwork

Strengths:

  • AI-native ITSM & ESM in one. Atomicwork combines ITSM/ESM modules with agentic AI in a single platform, simplifying architecture versus bolting AI on top of legacy systems. Source: Atomicwork – Homepage
  • Clear entry-level pricing. A published Professional tier at $90/employee/year is unusually transparent for this space and gives IT leaders a starting point for budget planning. Source: Atomicwork – Pricing
  • Compelling case studies. Customers report 50–65% ticket deflection, 60% of requests handled by Atom, and no additional headcount required after rollout, along with improved ESAT and MTTR. Source: Atomicwork – Homepage & case studies
  • Strong collaboration and self-service UX. The Universal Agent, Atom, is tightly integrated into Slack and Teams and learns from both documentation and channel history, which is valuable when wikis are outdated. Source: Atomicwork – AI service desk, Atomicwork – Employee self-service

Weaknesses:

  • Very limited public reviews. With only one G2 review so far, there isn’t enough third‑party data to benchmark satisfaction or performance statistically. Source: G2 – Atomicwork
  • Early feedback requests more customization. The existing G2 review is positive but notes a desire for more workflow customization options and smoother integrations in some areas. Source: G2 – Atomicwork
  • Younger vendor vs. incumbents. Atomicwork is newer than Aisera and Moveworks, so you should evaluate roadmap stability, ecosystem maturity, and support capabilities carefully—especially for very large or highly regulated environments. Source: Atomicwork – Funding & recognition

How do these platforms position themselves?

Serval markets itself explicitly as “AI Agents for IT” and an “AI-native ITSM” that unifies help desk, access management, workflows, and assets, with the tagline that automating a task forever should be easier than doing it once. It leans heavily on case studies with high‑growth tech and AI companies (Perplexity, Mercor, Together AI) and positions against ServiceNow/Jira with promises of lower TCO, natural‑language workflows, and no implementation fees. Source: Serval – Homepage, Serval – Introducing Serval, Serval – Compare ServiceNow

Aisera presents itself as an “Agentic AI for the Enterprise” platform and the “industry’s most awarded AI agent platform,” spanning IT service desks, customer service, and other internal functions. Its messaging emphasizes high auto‑resolution, rapid time‑to‑value, and the ability to plug into existing ITSM and collaboration tools. Analyst recognition (e.g., Gartner Magic Quadrant mentions) and customer ROI stories feature prominently in its positioning. Source: Aisera – Homepage, Aisera – AI Service Desk

Moveworks brands itself as “The AI Assistant platform for your entire workforce” and “one agentic AI Assistant to empower your entire workforce,” focusing on search + action across business apps. It emphasizes its Reasoning Engine, 100+ languages, and hundreds of integrations, plus its customer list (350+ enterprises and 10% of the Fortune 500). Recent messaging also highlights its role as a ServiceNow‑owned platform and a key agent within Microsoft 365 Copilot. Source: Moveworks – Homepage, Moveworks – AI Assistant overview, Moveworks – Microsoft 365 Copilot integration

Atomicwork positions itself as “The AI-native ITSM & ESM platform” and an “agentic service management platform” built around a Universal Agent (Atom) that brings “Smarter IT. Faster business.” It explicitly targets organizations looking to “reset” their ITSM, replace multiple incumbent tools, and centralize IT, HR, and other service teams on one AI-native platform, with strong emphasis on Microsoft 365 certification and enterprise‑grade security. Source: Atomicwork – Homepage, Atomicwork – Agentic service management explainer

Which platform should you choose?

Below are pragmatic guidelines based on the data above. You should still run a structured POC with your own metrics, but these filters can narrow the shortlist.

Choose Serval If:

  1. You want to aggressively automate IT tickets and access workflows, fast. You’re targeting at least 50% ticket automation within weeks and are willing to co‑design workflows in a 4‑week guided pilot that Serval guarantees will hit that bar. Source: Serval – Process and pricing, Serval – Perplexity case study
  2. You need ITSM + access management + asset management in one AI-native system. Your pain isn’t just L1 ticket volume; it’s also fragmented access provisioning, manual onboarding/offboarding, and scattered asset data. Source: Serval – Product overview
  3. You care about developer‑friendly, code-backed workflows. Your IT team is comfortable reviewing code and appreciates deterministic workflows under Git‑style version control rather than opaque drag‑and‑drop flows. Source: Serval – Build Workflows, Serval – Documentation
  4. You need strong security/compliance and possibly self‑hosting. You’re in a regulated industry or security‑sensitive environment where SOC 2 Type 2, HIPAA/GDPR alignment, full audit logs, and optional self‑hosting are must‑haves. Source: Serval – SOC 2 announcement, Serval – Deployment options
  5. You’re comfortable betting on a fast‑moving, well‑funded new entrant. You want something more modern than legacy ITSM and are okay with a younger vendor that has just raised a $75M Series B at a $1B valuation. Source: Reuters – Serval funding, FinSMEs – Serval funding

Choose Aisera If:

  1. You’re a large enterprise looking for broad, cross‑domain AI automation. You want one agentic AI platform to cover IT, HR, finance, and customer service use cases instead of separate tools. Source: Aisera – Homepage
  2. You prioritize proven auto‑resolution and ROI metrics. You expect 60–80% auto‑resolution on well‑defined processes and are willing to invest in the setup required to reach case‑study outcomes like 65% auto‑resolution and multi‑million‑dollar savings. Source: PixieBrix – Aisera case studies, Aisera – AI Service Desk
  3. You already run ServiceNow or similar ITSM and want to layer AI on top. Aisera is a natural fit if you view AI as an overlay for self‑service and ticket deflection rather than an ITSM replacement. Source: Aisera – AI Service Desk, G2 – Aisera reviews
  4. You have internal IT capacity for a more complex rollout. You’re prepared to allocate technical resources to configuration, integration, and ongoing tuning—something G2 reviewers repeatedly call out as necessary. Source: G2 – Aisera reviews
  5. Your budget matches enterprise SaaS expectations. You’re comfortable with custom, higher‑end pricing in the tens‑of‑thousands to low‑hundreds‑of‑thousands per year range, based on third‑party pricing analyses. Source: PixieBrix – Aisera pricing

Choose Moveworks If:

  1. You want a single AI assistant for the whole workforce, not just IT. Your primary objective is an employee‑facing copilot that handles IT, HR, finance, and more across apps in natural language. Source: Moveworks – Homepage
  2. You operate at large‑enterprise scale with complex app ecosystems. You have thousands to tens of thousands of employees, many SaaS tools, and a need for omnichannel, multilingual support (100+ languages). Source: Moveworks – Enterprise Copilot page
  3. You’re aligned with the ServiceNow and Microsoft 365 ecosystems. You see value in Moveworks’ deep ServiceNow heritage and its role as a third‑party agent inside Microsoft 365 Copilot, and you’re not concerned about future roadmap being ServiceNow‑centric. Source: Moveworks – Microsoft 365 Copilot integration, Investors.com – ServiceNow acquisition
  4. You have budget for a premium, high‑touch solution. You’re expecting a custom enterprise contract with strong ROI but higher absolute spend, consistent with Forrester’s TEI study and user feedback about cost. Source: Moveworks – Pricing, G2 – Moveworks reviews
  5. You value mature developer tooling and want to build custom agents. Your team plans to use Agent Studio and extensive APIs to go beyond out‑of‑the‑box workflows. Source: Moveworks – Developers, Moveworks – Developer docs

Choose Atomicwork If:

  1. You’re ready to modernize (or replace) your ITSM with an AI-native platform. You see more value in a new AI-native ITSM/ESM system than in retrofitting AI onto a legacy platform. Source: Atomicwork – Homepage
  2. You want clear per‑employee pricing to start. Your organization (500–1000+ employees) prefers a transparent starting point like $90/employee/year and can grow into custom Business/Enterprise tiers later. Source: Atomicwork – Pricing
  3. You care about employee self‑service in Slack/Teams. A big part of your strategy is deflecting L1 tickets by embedding an AI agent directly in collaboration tools, learning from both docs and conversation history. Source: Atomicwork – AI service desk, Atomicwork – Employee self-service
  4. You want IT, HR, and other teams on one agentic platform. You’re trying to reduce siloed tools and give multiple internal service teams a shared system of action and AI, as highlighted in Atomicwork’s multi‑team case studies. Source: Atomicwork – Homepage & case studies
  5. You’re comfortable being an early adopter. The strong customer stories and recognition (e.g., “New Guard” in a Battery Ventures report) are appealing, but you’re okay with fewer public reviews and will rely on trials and references to de‑risk. Source: Atomicwork – Homepage

Company Websites

Pricing Pages

Documentation

G2 Review Pages

Reddit Discussions

Additional Resources