Rovo, Freddy, Halo AI & Atomicwork: A Neutral Guide

AI in IT service management, explained by a neutral partner

AI in IT service management has moved from experiment to everyday reality. Service desks now use AI to summarise tickets, suggest replies, route requests, draft knowledge articles and resolve routine issues before a human ever sees them. The question for most IT leaders is no longer whether to adopt AI, but which approach fits their organisation.

Four names come up again and again in those conversations: Atlassian Rovo, Freshworks Freddy AI, Halo AI from HaloITSM, and Atomicwork. Each is a strong option, and each reflects a different philosophy about how AI should support people at work.

At BDQ, we have spent more than two decades designing, implementing and supporting service and work management platforms for over 180 customers in 30+ countries. We are partners with Atlassian, Freshworks, HaloITSM and Atomicwork, so we have no reason to steer you towards one platform over another. Our aim is simple: to help you understand what each AI offering is designed to do, so you can match it to your goals.

This guide covers what each platform's AI does, where it is designed to shine, a side-by-side comparison, and the questions we recommend asking before you decide.

Atlassian Rovo: AI that connects knowledge across teams

Atlassian Rovo is Atlassian's AI layer across its cloud platform, including Jira, Confluence and Jira Service Management. Its defining strength is context. Rovo draws on the Atlassian Teamwork Graph, which links work, people, decisions and code across connected tools, so answers reflect how your organisation actually operates.

Key capabilities include:

• Rovo Search: semantic search across Atlassian products and 50+ connected apps, such as Slack, Microsoft Teams, Google Drive, SharePoint, GitHub and Salesforce, while respecting existing permissions.

• Rovo Chat: a conversational assistant that answers questions using your organisation's own work data.

• Rovo Agents: prebuilt and custom agents that can be assigned Jira work, mentioned in comments and embedded in workflows, with actions logged for auditability.

• Rovo Studio: a no-code way to build custom agents by describing a workflow in plain language, with access controls and guardrails.

• Open context: the Rovo MCP Server lets other AI tools securely draw on live Atlassian context.

Where Rovo is designed to shine: organisations where IT, development and business teams already collaborate in Jira and Confluence. For Jira Service Management users, AI benefits extend beyond the service desk, linking incidents, changes and knowledge with the engineering work behind them. Rovo is available on Atlassian Cloud Standard, Premium and Enterprise plans.

Learn more about our Atlassian services, including Jira Service Management implementation and Data Center to Cloud migration.

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Freshworks Freddy AI: practical AI built into Freshservice

Freddy AI is the AI suite built into Freshworks products, including Freshservice for IT and business teams. Its defining strength is practicality: Freddy focuses on the everyday tasks that consume service desk time, and presents AI help directly inside the agent's workspace.

Freddy AI in Freshservice has three components:

• Freddy AI Agent: conversational self-service for employees across Slack, Microsoft Teams, email and the support portal, answering from your knowledge base and taking actions such as raising tickets.

• Freddy AI Copilot: an assistant for service desk agents that summarises tickets, suggests replies (including in multiple languages), finds similar past tickets, recommends field values, drafts resolution notes and post-incident reports, and turns resolved tickets into help articles.

• Freddy AI Insights: analytics for service leaders that surface trends and support root cause analysis.

Where Freddy AI is designed to shine: organisations that want a fast time to value, an intuitive agent experience and AI features that work well out of the box. It also suits teams extending service management beyond IT into HR, facilities and finance through Freshservice for Business Teams. Copilot is available as an add-on for Pro and Enterprise plans.

Find out how we help with Freshworks and Freshservice implementation, optimisation and managed support.

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Halo AI: intelligent automation inside HaloITSM

Halo AI brings context, automation and intelligence to HaloITSM, the UK-built service management platform. Its defining strength is depth across ITIL processes: Halo AI agents are designed around specific service management roles, and they operate within the role-based permissions you define.

Key capabilities include:

• Conversational agents: an End-User Virtual Agent for self-service across web chat, Microsoft Teams, Slack and the portal, plus a Fulfiller Operations Agent that supports service desk staff.

• Process agents: dedicated agents for dispatch, first-line support, major incidents, knowledge and change management.

• Smart suggestions: matched tickets and knowledge articles, plus recommended categorisation, prioritisation, team routing and SLA-breach warnings.

• Pattern detection and sentiment: machine learning that spots high-volume recurring issues, and CSAT/NPS sentiment analysis that highlights relationships needing attention.

• Knowledge and reporting: turning ticket records into standardised knowledge articles, and AI report analysis that explains anomalies in plain language.

• Interoperability: native MCP servers and REST API access, so external AI agents can work with Halo.

Where Halo AI is designed to shine: organisations that value mature ITIL-aligned processes, extensive configurability and a straightforward licensing model. Halo states that AI agents are included across all plans, with one licence covering all features.

Explore our HaloITSM services, from implementation and migration to ongoing PlatformCare support.

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Atomicwork: AI-native service management

Atomicwork is a service management platform built around AI from the start. Its defining strength is an agentic, conversational experience: employees get help where they already work, and AI agents handle the requests end to end.

Key capabilities include:

• Atom: an always-on frontline AI agent that handles first contact with employees in Slack and Microsoft Teams, resolves what it can, and routes the rest to a specialist AI coworker or a human.

• AI Coworkers: specialised agents defined by plain-text instructions, a job role and skills, covering IT (incident root-cause analysis, change management), HR (time off, onboarding and offboarding) and business support (policy queries, procurement approvals).

• Purpose-built agents: for example, an access agent that reviews context, applies policy and provisions access, and a hardware support agent that connects to MDM and asset data to diagnose device issues.

• AI Assistant: a copilot that answers employee questions from wikis, documents, service catalogues and FAQs.

• Integrations and governance: connections to tools such as Okta, Azure AD, SharePoint, Google Drive, Jira and leading MDM platforms, with permissions-aware support and certifications including SOC 2 and ISO 42001.

Where Atomicwork is designed to shine: organisations that want a conversation-first employee experience and are ready to put autonomous AI agents at the heart of IT, HR and business support.

Discover how we help teams get started with Atomicwork.

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Rovo vs Freddy vs Halo AI vs Atomicwork at a glance

All four platforms offer AI-powered self-service, agent assistance and automation. The differences lie mainly in design philosophy and the environment each fits best.

	Atlassian Rovo	Freshworks Freddy AI	Halo AI	Atomicwork
Core platform	Jira Service Management, Jira, Confluence	Freshservice	HaloITSM	Atomicwork
Design philosophy	Connected knowledge across teams	Practical AI in the agent workspace	ITIL-aligned process agents	AI-native, agent-first
Employee self-service	Virtual service agent and Rovo Chat	Freddy AI Agent	End-User Virtual Agent	Atom frontline agent
Agent assistance	Rovo Chat and Agents in Jira	Freddy AI Copilot	Fulfiller Operations Agent and suggestions	AI Assistant and AI Coworkers
Custom agents	Rovo Studio (no code)	Configurable within Freshservice	Feature Library and custom AI framework	AI Coworkers built from plain-text instructions
Chat channels	Slack, Microsoft Teams, portal	Slack, Microsoft Teams, email, portal	Web chat, Microsoft Teams, Slack, portal	Slack, Microsoft Teams
Openness	Rovo MCP Server, 50+ connectors	Freshworks integrations and marketplace	Native MCP servers, REST API	Broad identity, MDM and knowledge integrations
Often a great fit for	Teams already working in Atlassian	Fast time to value and ease of use	Process maturity and configurability	Conversation-first employee support

Features and licensing evolve quickly, so we always recommend confirming current details with each vendor or with a partner such as BDQ.

How to choose the right AI service management platform

There is no single "best" AI for IT service management. The right choice is the one that fits your people, processes and existing technology. These questions help bring that fit into focus:

1. Where does your work already live? If your teams collaborate in Jira and Confluence, Rovo builds on that context. If you are choosing a service desk afresh, consider Freshservice, HaloITSM and Atomicwork on their own merits.

2. How do employees prefer to ask for help? If Slack or Microsoft Teams is the natural front door, all four platforms support it, and Atomicwork makes conversation the centre of the experience.

3. How mature are your ITSM processes? Organisations with established ITIL practices often value Halo AI's process-specific agents. Teams building processes as they grow often appreciate Freddy AI's out-of-the-box approach.

4. How much autonomy do you want AI to have? Start by mapping which tasks AI should assist with, and which it should complete end to end, then compare how each platform governs agent actions.

5. How far beyond IT will you go? Enterprise service management for HR, facilities and finance is supported across these platforms in different ways, so test your priority use cases.

6. What does good look like in year one? Define measurable goals, such as self-service resolution rate, time to resolution or agent hours saved, before you evaluate.

Frequently asked questions

What is AI in IT service management?

AI in IT service management uses machine learning and generative AI to help service desks work faster and smarter. Common uses include virtual agents for employee self-service, ticket summaries, suggested replies, automatic routing and knowledge article creation.

What is the difference between an AI copilot and an AI agent?

An AI copilot assists a human, for example by drafting a reply or summarising a ticket. An AI agent can act on its own, completing tasks such as resolving a request or provisioning access, within the permissions you set.

Is Atlassian Rovo included with Jira Service Management?

Rovo is available on Atlassian Cloud Standard, Premium and Enterprise plans, including Jira Service Management. Organisations on Atlassian Data Center move to Cloud to access it.

Can these AI tools work in Slack and Microsoft Teams?

Yes. Rovo, Freddy AI, Halo AI and Atomicwork all support employee self-service through Slack and Microsoft Teams.

Which AI ITSM platform is best for my organisation?

It depends on your existing tools, process maturity, budget and goals. A platform-neutral partner like BDQ can help you compare options against your real use cases.

Why work with a platform-neutral partner

The biggest factor in AI success is rarely the AI itself. It is clean data, well-structured knowledge, sensible workflows and good adoption. BDQ helps organisations get those foundations right, whichever platform they choose. Our services cover:

• Platform selection: independent guidance across Atlassian, Freshworks, HaloITSM and Atomicwork.

• Implementation: designing and configuring service management and AI capabilities around your processes.

• Migration: moving from legacy ITSM tools, or from Atlassian Data Center to Cloud to unlock Rovo.

• PlatformCare: ongoing managed services that keep your platform and AI features performing.

• Training: helping service desk teams and administrators get the most from new capabilities.

Ready to explore AI in your service desk? Talk to the BDQ team for an impartial conversation about the options that suit you best.