What Is Customer Experience Software?
Customer experience (CX) software is technology that helps businesses understand, manage, and improve every interaction customers have with them, across contact center conversations, digital channels, and feedback, using data and AI to resolve issues faster and make each experience better than the last.
The term covers a wide range of tools. Contact center platforms, AI agents, analytics, survey tools, workforce software, and CRM systems are all sold as customer experience software, and most enterprises run several of them at once.
Key takeaways
- Customer experience software helps businesses capture, analyze, and act on customer interactions to improve satisfaction, retention, and cost to serve.
- The category includes contact center platforms, AI agents, agent assistance, interaction analytics, voice of the customer, workforce engagement, and CRM.
- AI is shifting CX software from reporting on problems to resolving them, through AI agents and real-time guidance for human agents.
- The strongest CX programs connect these tools on one open platform, so insight from every interaction changes how the next customer is served.
How does customer experience software work?
Customer experience software works in a continuous loop: it captures customer interactions, analyzes them for patterns, acts on what it finds, and measures whether the experience improved.
- Capture: record and collect interactions across voice, chat, messaging, email, web, and surveys.
- Analyze: transcribe and categorize conversations, detect customer sentiment, and surface the reasons customers are getting in touch.
- Act: resolve routine requests with AI agents, guide human agents in real time, and route findings to the teams that own the fix.
- Measure: track metrics such as satisfaction, effort, resolution, and repeat contacts to show what changed.
Individual tools usually cover one or two of these steps. The value grows when they are connected, so what the business learns from one interaction improves the next.
What are the main types of customer experience software?
The main types of customer experience software are contact center platforms, AI agents and self-service, agent assistance, interaction analytics, voice of the customer, workforce engagement, CRM and help desk tools, and CX management platforms that connect them.
Each type starts from a different job and a different data source. Knowing which is which makes it easier to see where your current tools overlap and where the gaps are.
| Type | What it does | Typical uses |
|---|---|---|
| Contact center (CCaaS) software | Routes and handles voice and digital contacts | Omnichannel routing, IVR, outbound campaigns |
| AI agents and self-service | Resolves routine requests automatically on voice and digital channels | Virtual agents, chatbots, automated transactions |
| Agent assistance | Guides human agents during live conversations | Real-time answers, compliance prompts, call summaries |
| Interaction and speech analytics | Analyzes every conversation for themes, sentiment, and outcomes | Contact drivers, quality monitoring, compliance |
| Voice of the customer (VoC) | Captures and analyzes surveys and feedback | CSAT and NPS programs, digital feedback |
| Workforce engagement | Plans, schedules, evaluates, and coaches agents | Forecasting, scheduling, quality management |
| CRM and help desk | Manages customer records, cases, and tickets | Case history, ticketing, service workflows |
| CX management platform | Connects these capabilities on one platform | Cross-department CX programs |
Most enterprises assemble several of these over time, which is why their customer data often ends up spread across separate systems. A customer experience management platform brings understanding and action together, so every team works from the same view of the customer.
Key features of customer experience software
The most important features of customer experience software are omnichannel engagement, AI agents and automation, interaction analytics, feedback collection, knowledge management, and reporting on CX metrics.
Omnichannel engagement
Customers move between phone, chat, messaging, email, and self-service, often within the same issue. Whether or not it’s part of a CCaaS platform responsible for routing and handling, CX software should enable seamless experiences and reduce friction by retaining the context of each customer interaction across channels. CX automation platforms like Verint integrate with CCaaS solutions and may offer features such as unified agent desktops that unify omnichannel experiences.
AI agents and automation
AI agents resolve routine requests end to end, such as order status, account updates, and payments, at any hour. Look for automation that works with your existing telephony and contact center platform, and lets you control what AI can say and do. Learn more about CX automation.
Interaction analytics and sentiment
Interaction analytics can analyze 100% of voice and digital conversations to find why customers get in touch, where interactions break down, and how customers feel. It reveals issues that surveys never ask about.
Feedback and voice of the customer
Surveys and feedback tools capture how customers rate their experience. The most useful voice of the customer programs combine that feedback with interaction and digital behavior data to explain the score, not just report it.
Knowledge management
AI agents and human agents are only as accurate as the knowledge behind them. CX software can incorporate AI-driven knowledge management software for contact centers to keep answers current and consistent across self-service, AI agents, and the agent desktop.
Reporting and CX metrics
Dashboards should track the core customer experience metrics: customer satisfaction (CSAT), how satisfied customers are with an interaction; Net Promoter Score (NPS), how likely they are to recommend you; and customer effort score (CES), how easy it was to get an issue resolved. Pair them with operational measures such as first contact resolution and repeat contact rate.
Benefits of customer experience software
The best AI customer experience platforms help enterprises resolve issues faster, lower the cost to serve, keep more customers, and make better decisions with data from every interaction.
- Faster resolution: AI agents and real-time guidance shorten the path from question to answer.
- Lower cost to serve: automation handles routine contacts, and analytics shows which repeat contacts can be designed out.
- Higher retention: finding and fixing friction early can help keep customers from leaving.
- More productive agents: automated summaries, knowledge, and coaching free agents to focus on complex conversations.
- Better decisions: leaders see what is driving contacts, cost, and satisfaction, backed by evidence.
The stakes are high. In Verint’s State of Customer Experience 2026 research, 79% said they would switch brands after a single bad experience.
Customer experience software vs. CRM
CRM software manages customer records and cases, while customer experience software manages and improves the interactions themselves.
| CRM software | Customer experience software | |
|---|---|---|
| Main focus | Customer records, cases, and sales pipeline | Customer interactions and how they are handled |
| Core data | Accounts, contacts, and case history | Conversations, feedback, and digital behavior |
| Typical owner | Sales, service, and IT | Contact center and CX teams |
| Key question | Who is this customer? | What happened in this interaction? |
The two work best together. CX software draws on CRM records for context, and feeds insight from interactions back into the customer record.
How is AI changing customer experience software?
AI is moving customer experience software from recommending actions to taking them, within limits the business defines.
Earlier generations of CX software reported on what happened. Today, AI transcribes and categorizes every interaction automatically, generative AI answers leaders’ questions about their data in plain language, and AI agents resolve requests on their own. AI agent assist software guides human agents during live conversations and complete after-call work.
That shift raises the importance of governance and trust. Enterprises need control over what AI can say and do, accurate data and knowledge behind every answer, and insights that link back to the real conversations that support them. (For this, an agentic AI orchestration layer is critical, giving teams a single, centralized environment to build, govern, and scale AI across their contact center.)
How to choose customer experience software
Choose customer experience software by how well it fits your existing systems, how much of the customer interaction it covers, and whether it can prove results.
- Integration: works with your current telephony, contact center platform, and CRM, without rip-and-replace.
- Coverage: can analyze 100% of voice and digital interactions, not just samples or surveys.
- AI you can govern: clear controls over automation, with evidence behind every insight.
- Enterprise readiness: security, compliance, and performance at your scale.
- Proven outcomes: published customer results in your industry, and tools to measure ROI.
For a full evaluation framework, including a vendor checklist, see our CX management platform buyer’s guide. To compare named vendors, see the best AI customer experience platforms for enterprises.
How Verint helps
Verint brings customer experience software together on one open platform that works alongside your existing contact center, CRM, and desktop systems. Verint CX Intelligence and voice of the customer analyze every interaction and feedback signal; the Verint CX Automation Platform acts on those insights with AI agents and Agentic Coaching; and Verint Workforce Engagement plans and coaches human and AI agents together.
