The ultimate guide to hyperautomation in 2025

Automation has been part of IT for at least half a century, starting with simple tasks like batch processing, data entry, and automated file transfers from a centralized IT. But while IT evolved at a breakneck speed, automation struggled to keep up, tripping over cross-functional silos, scattered and blind data, and outdated, legacy systems that clogged up IT workflows.

Very soon, IT began blending RPA (robotic process automation) with AI, machine learning, and process mining, now paving the way to hyperautomation. Gartner’s already pegged it as a “top 10 strategic technology trend,” with 80% of organizations having hyperautomation on their technology roadmap by 2025.

But what exactly is hyperautomation? And how can IT teams use it to increase productivity, free up agents’ time, and stay competitive? This guide will break down hyperautomation, how it works in the real world, and the top tools you’ll need to make it happen.

What is hyperautomation?

Hyperautomation is an advanced approach that integrates numerous automation technologies and tools to create an end-to-end automated business solution. Let's look at Gartner's definition here.

Hyperautomation is a business-driven, disciplined approach that organizations use to rapidly identify, vet, and automate as many business and IT processes as possible. Hyperautomation involves the orchestrated use of multiple technologies, tools, or platforms, including AI, machine learning, event-driven software architecture, RPA, business process management (BPM) and intelligent business process management suites (iBPMS), integration platform as a service (iPaaS), low-code/no-code tools, packaged software, and other types of decision, process, and task automation tools. - Gartner

Gartner puts it nicely by saying we’ve moved from thinking of automation as merely RPA and task automation to an AI-driven process automation, the closest we can get to NoOps workflows.

Hyperautomation vs. automation: What’s the difference?

Hyperautomation is next-generation intelligent enterprise-level automation with an emphasis on the interconnectivity of processes.

Let’s see the difference with an example. In a traditional ITSM setup, if someone submits a password reset request, the system creates a ticket and assigns it to a help desk agent. Simple enough, but it still requires human input to prioritize or categorize the issue based on context, keywords, and intent.

Hyperautomation handles that complexity by itself. It looks at the incoming tickets in real time, using past data to classify and prioritize incidents. If it notices a pattern, like signs of an outage, it can automatically escalate the issue, notify stakeholders, and launch response actions, cutting down resolution times, without constant firefighting and KTLO by the security team.

Here are a few more ways hyperautomation succeeded automation in IT.

Related resource: Leveraging AI workflows in enterprises

How hyperautomation works?

• Process mapping & discovery: Hyperautomation begins by offering real-time visibility into IT workflows and mapping out how tasks flow between IT operations, service desks, and infrastructure teams. Using process and task mining tools helps identify automation opportunities when tasks get stuck (like those escalations in incident management) or become redundant.
• Process automation using AI: Hyperautomation integrates ML algorithms to develop intelligent, smart workflows that are self-optimizing, context-driven, and adaptive. It goes beyond task-based automation to monitor real-time KPIs, identify common breaking patterns, and eliminate data silos between tools.
• Real-time IT orchestration: With a consolidated IT view in place, hyperautomation enables real-time orchestration of end-to-end workflows by dynamically coordinating tasks between different systems and teams, so when something goes wrong (like a server failure), related workflows—such as disaster recovery or security patching—are triggered automatically.
• Predictive simulation with digital twins: Hyperautomation then allows IT teams to create digital twins of their infrastructure and processes, and run predictive simulations and stress tests in a virtual environment before making changes in production.
• Continuous improvement: Self-optimizing feedback loops enabled by feeding real-time data to assess the effectiveness of automated workflows, and drive iterative improvements.  

5 benefits of hyperautomation

• Cut down operational costs: Gartner sees hyperautomation as the key to trimming business costs by 30%. And you can see why! By removing the manual tasks from first-line IT support, it enables self-service support at level 0, to not only save money but also help businesses route their workforce towards more impactful projects like digital transformation and data governance. This is what happened with Ammex Corp, a leading safety gloves distributor that used Atomicwork’s AI assistant, Atom, to drive self-service automation. This improved their ticket deflection rate to 65% without adding a single headcount in 6 months. Read the complete case study here.‍
• Personalize user experience: Hyperautomation enables hyperpersonalization by blending historical data, contextual awareness, and predictive analytics, to deliver what users want right when needed. Look at Amazon Go stores as a prime example. These stores thrive because they use AI to track your pick-ups and charge your account automatically without waiting in line to check out.‍
• Manage compliance and risks: In regulated industries like finance, hyperautomation fortifies compliance frameworks through AI to monitor transactions around the clock and flag security teams for anything anomalous. This means quicker fraud detection and less reliance on manual checks, which can be a bit of a gamble.‍
• Optimize workforce productivity: Hyperautomation, fueled by AI, can simplify the way businesses handle their work schedules, deploy workforce for tasks, and automate support management to reduce the constant back and forth, money, and time needed to resolve tickets. ‍
• Improve enterprise knowledge management: Hyperautomation helps enterprises create a rich, self-evolving knowledge repo by automatically capturing, categorizing, and updating information from past incidents, tickets, resolutions, and user interactions, which end-users can easily access, improving resolution times and reducing redundant tickets.

6 top use cases of hyperautomation for enterprises

Hyperautomation is reshaping how enterprises manage everything from IT support to sales and finance, enabling intelligent, modern service management with automated:

1. Employee onboarding

Just ask any HR or security team—they’ll likely tell you that employee onboarding and offboarding are some of the most challenging parts of their job. Doug Tedder, principal at Tedder Consulting and a 25-year IT veteran, even describes these tasks as a headache for all teams involved, with manual steps, knowledge transfer, and countless notifications slowing things down.

Hyperautomation makes onboarding faster and simpler, taking you from the first email to adding new hires to Slack in a single dashboard. An enterprise AI assistant, like Atom, can talk to multiple apps and automate several tasks in the onboarding workflow. HR only has to enter the new hire’s details once, and Atom will create a user ID, email, and initial password based on the new hire’s role and department.

Related resource: 9 key steps to automate new employee onboarding process

2. Incident management

Hyperautomation enables smart incident management by integrating all moving parts of your incident lifecycle (Azure AD, Okta, and BambooHR) for smart resource allocation, strategic agent-human handoff, and faster resolution with minimal manual input. Hyperautomation here enables:

• Categorizing (e.g., hardware, network, software) and prioritizing incidents , based on urgency, custom attributes, SA hit rate, resolution time, and impact, with a built-in quick launch-incident playbook. Hyperautomated AI agents, like Atom, also keep IT and requesters in the loop, link related requests, and share the latest workarounds or status updates—all in a one-stop view.
• Running self-healing scripts for routine issues (e.g., password resets or system restarts) to resolve them without escalating to level 2 and level 3 support. If the incident requires specific expertise during any stage of the incident lifecycle, the agent can route it to the right team with a timeline and status update in place.
• Summarizing incidents and generating post-incident reports with employee messages, AI feedback, and bot interactions feeding directly into it. You can also create a reliable resource for future cases by auto-updating your knowledge base with these incident reports.

Related resource: How to automate incident management

3. Intelligent sales automation

Think of hyperautomated sales as a means to unify all your touchpoints in the sales journey. From updating CRM systems like Salesforce to fetching information on generated leads and closed deals, here's how hyperautomation improves the sales experience:

• Automating lead capture from multiple channels (e.g., website, CRM) based on pre-set criteria like budget, interest, and timeline, so sales teams focus on the most promising prospects without sifting through endless emails.
• Reducing repetitive tasks like follow-ups and data entry so sales reps can concentrate on cultivating meaningful relationships rather than writing welcome and thank you emails.
• Scoring and routing qualified leads to the appropriate sales reps with the highest conversion potential.
• Simplifying the contract creation process and dispatching it for digital signatures to reduce hold-ups and keep everything on track.

4. Agile finance & accounting operations

Taking on new clients and reducing days sales outstanding while closing periods faster means invoice finance lenders need to strike a balance between risk, costs, and (goods &) service delivery. Yet, without adaptive automation, finance teams struggle to find that sweet spot, especially with complex, multi-step processes that require a series of manual verifications.

Here’s how hyperautomation powers finance and invoicing for modern enterprises:

• Interacts with employees to materialize (and templatize) their approval requests
• Generates real-time data necessary for approvals through user-friendly forms
• Manages approvals right from a team’s go-to comm channels like MS Teams/Slack
• Links up with your team’s ERP upon approval to tackle those pesky delays in finance.
• Saves time with smart refund and credit approval processes, every time an order is cancelled or a customer prefers to downsize. Atom reduces the back-and-forth between the CSM, their manager, the TAM, implementations, and finance to issue refunds faster without end-users having to follow up endlessly.

Related resource: How to incorporate AI in finance operations

5. Patch management

Hyperautomation tools have a pre-built scanner that checks your network’s endpoint devices, highlights which devices need updates, and even lets you decide when to roll them out. You can schedule patches during quieter times and double-check that they’ll play nice with your existing setups for ZERO deployment headaches.

With a context-aware reporting system, you’ll always be in the loop about your patch deployments—whether they are successful or hit a snag. It also helps you generate test environments before production systems to simulate how the patched device works in real-time, to show auditors and stakeholders that your systems are meeting compliance standards.

6. Asset management

CIOs, today, are on the hunt for centralized systems that can help them manage their IT assets, including everything from hardware and software to networks and services, as well as essential employee and vendor data. While it might seem like an uphill battle to achieve total control over your IT landscape, hyperautomation-powered asset management can get you pretty close, with:

• Automated asset discovery and inventory management by using AI to scan, identify, and catalog assets.
• Controlled shadow IT where you can remotely configure apps on your employee’s corporate device after they place requests for specific apps through Microsoft Teams and Slack after their fresh setup. Once their requests are approved, you can have those apps pushed out remotely to their computers.
• Periodic reminders for expiring warranties and service requests for asset replacements. When an asset reaches end-of-life, Atom can also initiate decommissioning workflows– data backup, disposal schedules, and CMDB updates.
• Intelligent asset lifecycle management and ROI optimization by tracking the entire lifecycle of each asset—from procurement and deployment to maintenance and retirement.
• Maintenance inspections with recurring checklists to catch quality degradation before it becomes a problem. Plus, it keeps everyone in the loop to reduce unexpected downtime and improve asset productivity.

Related resource: 5 Easy steps to automate asset management

5 best hyperautomation tools for 2025

With the definitions, use cases, and benefits out of the way, it’s time to explore the best hyperautomation tools at your fingertips. The intelligent automation landscape is vast, and we want to give you a taste of the different options:

1. Atomicwork

Atomicwork is an all-in-one workflow management solution that automates IT workflows, improves cross-functional collaboration, manages knowledge from disparate sources, and tracks changes and requests in a user-friendly way, packed with real-time insights to keep everyone informed.

Key features:

• Agentic workflow engine that supports self-service at the employee level without undue escalation to human agents
• One-click out-of-the-box workflows to find services, access apps, reset passwords, or request new assets.
• Unified ITSM solution to track and manage assets, incidents, change requests, and make on-screen updates from a single-pane view that keeps operations connected and easy to access.
• AI-driven knowledge management where Atom suggests relevant articles or support resources based on the employee’s query and reduces ticket load.
• Cross-platform integration with Slack, Microsoft Teams, and ERP systems to bring everything under one interface.

2. UiPath

Known for its strong RPA capabilities, UiPath serves ESM needs by helping automate repetitive processes across departments.

Key features:

• Improved data sync between CRMs, ERPs, and ITSM tools to keep all records accurate and up-to-date in real time.
• Resource allocation based on workload, and priority
• Cloud and on-premise deployment

3. Microsoft Power Automate

Part of the Microsoft ecosystem, Power Automate integrates directly with SharePoint, Teams, and Dynamics, making it ideal for organizations already invested in Microsoft.

Key features:

• Predictive analytics with AI
• 24/7 chatbots to handle customer inquiries and support requests
• SLA monitoring & management
• Real-time alerts when a critical incident occurs or when an asset reaches end-of-life

4. Freshservice

Built with employee productivity in mind, Freshservice by Freshworks makes automating ticket management and asset lifecycle tasks easy, so teams spend less time on routine tasks and more time focused on delivering a top-notch service experience.

Key features:

• User-friendly interface
• Automated ticket classification, routing, and self-service
• Customizable reports and analytics

5. Mendix

Mendix’s low-code platform is perfect for enterprises that want to customize service management processes without coding headaches. It’s ideal for organizations that need tailored applications to support ESM, enabling IT teams to create automated workflows for support, asset tracking, and more—all from a single, flexible interface.

Key features:

• Dashboard
• Portfolio management
• In-app notifications and alerts
• Multi-device compatibility

How to choose the right hyperautomation tool?

Choosing the right hyperautomation tool for an enterprise requires a close look at how well it aligns with business goals, integrates with existing systems, and scales over time. Here’s a closer look at some core criteria and how leading tools meet them:

1. Enterprise integrations

The true success of hyperautomation hinges on its ability to integrate workflows across multiple departments, tools, and platforms, creating a cohesive system where processes flow in harmony, and deliver maximum impact across the entire organization. If your hyperautomation tool doesn’t offer native integrations with the varying tools (project management, testing, DevOps, IDE) you already use, you could be looking at lots of manual intervention or custom API work, which defeats the purpose of automation in the first place. In case, your automation tool can’t collect and ingest data from your monitoring system during code deployments to trigger unplanned downtime alerts, that’s a missed opportunity. So, the key question is: Will this tool work with the systems we already rely on?

2. Agentic AI support

A smart automation tool should do more than just process requests, for sure. But not all AI-driven tools offer the same depth. You want an AI that can grasp context, understand task details, integrate with your current stack, and adjust bot queries based on past data and employee interactions. Say an employee asks for access to an app—an intelligent AI should automatically identify their department and assign the right permissions without a string of extra prompts.

What you really want is a troop of AI agents that can juggle multiple responsibilities at once—whether it’s helping HR with onboarding, supporting finance in invoice reconciliation, or assisting IT with incident management. Ideally, your automation tool should let you set up and oversee these AI agents easily from a single platform, without requiring a specialized team for each.

3. Ease of adoption

Your automation tool may have incredible potential, but if it’s too complex, adoption rates will plummet. Think about a scenario where IT loves the new system, but your non-technical teams feel left out or intimidated by the interface. Find a tool that’s intuitive or at least comes with accessible resources and support—training, guides, or quick-start templates can go a long way in helping everyone get on board faster.

4. Security and compliance first

When you’re transferring sensitive data using an automation tool, it’s crucial to have solid security in place. If the tool lacks audit trails, you’re putting your company’s compliance in jeopardy and leaving sensitive information vulnerable. Opt for a tool that offers built-in security features like encryption, access controls, and audit logs, so you can rest easy knowing your data is secure.

For enterprises looking to ramp up their RPA initiatives and dive headfirst into hyperautomation, Atomicwork can be their hyperautomation platform to help them with everything from asset and change management, to request approvals, and faster incident resolution.

With Atomicwork’s Atom AI agents, you can build smart IT processes and enable self-service automation right from popular collaboration tools like MS Teams or Slack, so your team easily work together to tackle all your enterprise service needs in seamless workflows.

‍Book a demo to see how your organization can start your hyperautomation journey.