Table of contents
Highlights
- Employee experience software brings HR, IT, and collaboration tools into one place, so employees resolve requests without hopping between disconnected systems.
- Leading platforms move beyond surfacing links, using conversational AI to help people complete tasks end to end.
- Consolidating fragmented point tools into a single experience can help cut repetitive tickets for HR and IT teams.
- When evaluating options, enterprise buyers should weigh governance, permissions, and integration depth alongside the everyday interface employees actually use.
- As an agentic front door, Moveworks unifies search and action across ITSM, HRIS, and collaboration systems through its AI Assistant and Agentic Reasoning Engine.
Employees are losing more than a day of productive work every month, and the systems they rely on may be contributing to that loss.
A 2025 study from TeamViewer and Sapio Research found that 80% of employees surveyed lose productive time to digital friction each month, averaging 1.3 days lost per person. That's time spent working around tools instead of using them.
That friction rarely disappears on its own. It shows up as another ticket, another "quick question" that pulls someone off their own work, or another escalation that takes a full afternoon to untangle. Left unaddressed, it can affect employee retention and team capacity in ways that compound over time.
Employee experience software can help. But the category has changed significantly over the past few years, and tools built only to measure how work feels are starting to look limited. Here's what the category covers now, where older approaches fall short, and what's worth prioritizing as you evaluate options for your teams.
What is employee experience software?
Employee experience software connects the systems employees rely on to find information, get support, and complete tasks.
That typically includes:
- IT service management (ITSM) platforms, like ServiceNow, that handle IT tickets and requests
- HR information system (HRIS) platforms, like Workday, that hold employee records, benefits, and payroll data
- Identity systems, which manage who has access to what
- Knowledge bases and collaboration tools, like Slack or Microsoft Teams
You'll also likely run into intranets, engagement and survey suites, and standalone help desk tools during evaluation, many of which are converging into a single, AI-assisted layer.
The category has shifted, though. Employee experience software is increasingly focused on resolving the problems that create friction at work, not just measuring how that friction feels.
Employee experience software vs. engagement and survey tools
These two categories are easy to confuse.
Engagement and survey tools measure sentiment. They ask employees how they feel and track those trends over time.
Employee experience software is built to act on requests. Instead of only capturing how someone feels, these platforms can take the next steps toward resolving the underlying problem.
Measurement still matters. But measurement alone may leave the underlying friction unresolved, which helps explain the category’s growing focus on action.
Why traditional employee experience tools fall short for enterprise IT and HR
Most enterprises have already invested heavily in workplace tools. So why does experience still feel broken for so many employees?
Fragmentation is a big part of the answer.
Gallup's 2026 State of the Global Workplace report found that global employee engagement fell to 20% in 2025, its lowest level in years, at an estimated cost of $10 trillion in lost productivity worldwide. That broader engagement challenge can be compounded by disconnected systems that make simple requests harder than they need to be.
Two structural issues show up repeatedly.
Fragmented systems and app sprawl
When HR, IT, and collaboration tools don't communicate, employees end up hunting across multiple portals and apps for basic answers.
Microsoft's Work Trend Index found that employees using its tools are interrupted, on average, about every two minutes during working hours by messages, meetings, or notifications.
Multiply that across a distributed workforce, and you get duplicated work, slower resolutions, and support teams spending more time coordinating than solving.
Support that struggles to scale across a distributed workforce
Generic, one-size-fits-all portals can fall short for remote and frontline employees, who often need role-, region-, and permission-aware answers rather than a static FAQ page.
When support relies mainly on manual, ticket-based workflows, it can be harder to keep pace across time zones and channels. Wait times can grow, backlogs can build, and employees furthest from headquarters tend to feel the gap most.
How agentic AI turns employee experience software into a system of action
A basic chatbot runs on pre-defined scripts. Step outside the script, and it's likely to hit a dead end. Conversational AI goes further, interpreting natural language and holding a more flexible exchange.
Agentic AI takes another step. It's designed to reason over a request, plan the steps needed to resolve it, and execute governed action within established permissions, drawing live context from ITSM, HRIS, and identity systems rather than pointing employees to an article they have to act on themselves.
Adoption is growing. According to McKinsey's 2026 State of AI survey, 40% of organizations with more than $1 billion in revenue report scaling AI agents, up from 27% a year earlier. IT and knowledge management are the most common starting points.
What to look for in enterprise employee experience software
For enterprise buyers, key criteria include integration depth, security, and how well the platform personalizes support at scale.
Multi-channel delivery matters too. Support should meet employees where they spend their time, whether that's in Slack, Teams, on the web, or on mobile. Another portal is just another step for employees who already navigate too many.
Integration depth across ITSM, HRIS, and collaboration
Many employee requests draw from more than one system. A question about VPN access might touch identity, IT, and HR at the same time.
Integration depth can be the make-or-break criterion for many enterprise deployments. When evaluating vendors, ask for a demo of a real cross-system workflow, not a scripted, single-system reply. Better yet, ask to see a workflow built around the specific tools already in your stack.
Security, governance, and analytics
Enterprise-grade requirements include SSO/SCIM (single sign-on and system for cross-domain identity management, the standards that keep login and access consistent across systems), role-based access control, audit logs, and permission-aware execution.
This is worth prioritizing early. Deloitte's 2026 State of AI in the Enterprise report found that only about one in five organizations currently has a mature governance model for autonomous AI agents.
Analytics matter beyond reporting, too. Strong platforms use them to surface where friction is happening and which workflows are worth automating next, connecting measurement to action rather than keeping them separate.
Key use cases across IT and HR
High-frequency, cross-system workflows can be valuable starting points: the same requests that keep showing up and eating into IT and HR bandwidth.
For each use case, think through three things: the workflow, how AI-powered resolution changes it, and what a measurable outcome looks like. Start with a small number of high-volume request types, then expand as automation proves its value.
Employee self-service for IT and HR
Say an employee asks how to access the VPN. Instead of routing that to a ticket queue, an AI assistant is able to check permissions, confirm eligibility, and help provision access for standard, routine cases, often without a person needing to step in.
That kind of self-service can help deflect high-volume requests like password resets, account unlocks, and policy questions, freeing IT and HR for more strategic work.
Onboarding and access provisioning
New hires typically need accounts, tools, and access set up across several systems before their first day. When HRIS, IT provisioning, and identity systems are connected, that coordination can happen with far less manual effort.
It can support governance and productivity by helping teams grant access with the appropriate permissions from the start, based on each employee's role and eligibility.
How to measure the ROI of employee experience software
While satisfaction scores matter, you can build a stronger business case around outcomes your teams already track.
A few metrics worth modeling:
- Ticket deflection rates
- Handle-time or resolution-time changes
- Hours returned to employees and support teams
- Total cost of ownership
Test these against your actual workflows while demoing with vendors. Looking at HR service delivery, for example, can give you a concrete lens for evaluating what a platform can do, though results vary by organization and starting point. Run the same workflows or problem scenarios across each tool you're evaluating to make comparisons fair.
Pair operational metrics with experience signals like self-service adoption and repeat-contact rates. Together, they show whether the problems you're trying to solve are actually going down, not just whether tickets are closing faster.
Where employee experience software is heading
The category is moving from measuring experience to resolving it. And that shift has real implications for how you choose a platform.
Measurement alone documents friction. Addressing it requires systems that can act. Integration depth and agentic AI are two important factors in distinguishing platforms that primarily surface information from those designed to help resolve requests.
McKinsey's research on AI in the workplace found that 92% of companies surveyed plan to increase their AI investment over the next three years, while only 1% consider their deployment mature. That gap highlights the opportunity for IT and HR leaders to evaluate where AI could support their workflows.
Moveworks is an employee experience platform built to connect search and action across ITSM, HRIS, and collaboration systems through its AI Assistant and Agentic Reasoning Engine. With Tool Studio, teams can also extend governed automation to additional workflows.
See what that looks like for your organization by exploring how Moveworks approaches IT help desk automation.
Frequently Asked Questions
Employee experience software is the layer that connects the HR, IT, and collaboration systems employees rely on every day. Instead of requiring people to search across disconnected portals, it gives them one place to ask questions, find information, and get work done. For large enterprises, that means consistent support across roles, regions, and devices.
Look for unified search and action, secure and permissioned integrations, and support across the channels where employees already work. Strong governance and clear reporting matter just as much, since IT and HR need visibility into how the platform performs. Conversational AI helps by turning routine requests into resolved outcomes rather than more links to read.
Engagement software focuses on measuring sentiment through surveys, feedback, and recognition programs. Employee experience software focuses on the day-to-day friction of getting work done, such as resolving IT issues or completing HR tasks. The two complement each other, but experience software addresses the operational moments that shape how work actually feels.
Tie the investment to outcomes your teams already track, such as request resolution time, ticket deflection, and hours returned to employees. Pair those operational metrics with adoption and satisfaction signals to see whether the experience improves over time. A clear baseline before rollout makes it easier to show where the platform moves the numbers.
Prioritize platforms that integrate securely with your existing ITSM, HRIS, and collaboration stack rather than adding another silo. Ask how the system handles permissions, compliance, and auditability, since governance shapes long-term trust. It also helps to see how quickly the platform resolves real requests end to end, not just how it demos.
