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            © 2025 NiCE

            7 reasons to automate interaction summarization with AI

            by Catherine Forino-Small
            September 29, 2025
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            Without question, there are impactful AI tools emerging in 2025 to help organizations achieve their goal of an elevated customer experience. AI is redefining the future of customer experience by keeping the focus on higher-value thinking and making conversations more valuable for both customers and agents.

            One of the most powerful tools is AI-powered automated interaction summarization, where AI is used to generate concise, accurate summaries of customer interactions, whether via phone or chat. Interested in creating a productive environment where agents can focus on the conversation, and the summary writes itself? You’re in the right place.

            I recently hosted a webinar for NiCE customers about our AI-powered platform offering automated real-time and post-call interaction summarization. I’m about to share seven inspiring reasons to start using automated interaction summarization today, and I’m going to weave in the insights I shared with our customers during the webinar too.

            It’s time to start using this technology, because AI-powered automated interaction summarization removes after-call work so agents can focus on customers instead of typing, and every conversation is captured perfectly – automatically.

            1. Saves CX agents’ time

            The top reason to start using AI-powered automated interaction summarization is that it saves time on each interaction. Post-interaction agent note-taking typically takes anywhere from 30 seconds to three minutes per interaction, in addition to the time it takes for agents to update other internal systems.

            Multiplied out for each interaction handled by each agent in your contact center, it adds up. The repetitive task of manual notetaking not only slows down operations but also reduces the time agents can spend focusing on customer needs.

            By minimizing this administrative burden, AI summarization empowers agents to handle more interactions with greater focus and efficiency. And, as I noted in Discover How CXone Mpower AutoSummary Cuts Costs & Boosts Productivity, we have a 92% acceptance rate for our interaction summaries with no edits needed after review, highlighting that CXone Mpower AutoSummary is completing the work in a manner that human agents acknowledge is as good or better than they would have done themselves.

            2. Improves the consistency and accuracy of the summary

            Human-written notes are often inconsistent, incomplete, or subjective. They vary by agent, and are sometimes written with typos, in shorthand, or using acronyms. In addition, key pieces of information may not always be included in each summary. This inconsistency can lead to:

            • Poor handoffs
            • Compliance risks
            • Unreliable data

            AI-generated summaries are objective, standardized, and comprehensive, capturing key details from the entire conversation, not just what the agent remembers, ensuring every interaction is documented with precision. That means fewer misunderstandings, cleaner records, and a more reliable historical account of each customer's journey.

            To ensure that the right information is included in the desired format every time, CXone Mpower AutoSummary comes with a generative AI prompt editor and pre-built prompt library which you can use to set the default structure of your interaction summaries yourself.

            And we offer unlimited custom prompts which can be tailored by department and skill. So if there are details you know you always want noted from each interaction in a standard summary, for example, date of service, policy or claim number, or pricing offered, you can ensure that these are always included in your summaries.

            3. Enables better analytics and insights

            Because summaries are machine-readable, they can serve as a powerful foundation for downstream analytics. When interaction summaries are structured consistently, this allows AI systems to easily extract themes, sentiment, intent, and resolution status in the future, turning unstructured conversations into actionable data.

            CX leaders can later engage with the data surrounding their summaries, including:

            • Identifying emerging issues
            • Tracking customer sentiment over time
            • Measuring agent performance
            • Optimizing workflows and training

            This lets CX leaders turn daily customer conversations into strategic insights that drive continuous improvement.

            4. Strengthens compliance and risk management

            In industries with strict regulatory requirements, accurate documentation isn’t optional - it's essential.

            AI summarization (and in particular, AI summarization executed with consistent prompting) ensures that every interaction is recorded in a compliant, auditable format. AI can also:

            • Flag sensitive topics like, complaints and legal threats
            • Redact personally identifiable information (PII)
            • Ensure required disclosures are documented

            This level of consistent documentation reduces the risk of fines, disputes, or failed audits. It also provides peace of mind that your contact center is upholding regulatory obligations with every interaction.

            5. Enhances agent experience and retention

            Agents are often overwhelmed by repetitive tasks like notetaking and data entry. These tasks contribute to burnout and high turnover - two of the biggest challenges in contact centers today.

            By automating interaction summarization, you can:

            • Remove the cognitive load of notetaking during and after customer interactions
            • Free agents to focus on what they do best: solving problems and building relationships
            • Achieve higher job satisfaction, better performance, and lower attrition

            When agents aren’t bogged down by manual summaries, they’re more engaged in solving customer issues and growing their skills. This added focus on meaningful work contributes to a more fulfilling, purpose-driven experience at every level of tenure.

            6. Accelerates onboarding and training

            New agents often struggle with documentation - what to write, how much detail to include, and how to format the summary. AI-generated summaries remove the ramp-up period for new agents to produce quality post-interaction summaries by handling this task automatically.

            Instead of spending weeks learning documentation norms, new hires can focus on core skills and customer engagement from day one. This makes your onboarding process faster, smoother, and more scalable across locations or seasonal ramps.

            In addition to helping new agents get the hang of quality summaries, supervisors can also use AI summaries to review interactions quickly and identify coaching opportunities.

            7. Enables you to use the summary in the future

            One question that came up after the webinar was if the contents of the automated summary could be edited or copied and pasted into another application if needed, and the answer is yes! Additionally, AutoSummary can also be integrated directly into your CRM.

            Get started today to reduce notetaking to seconds

            Adopting AI summarization is about building tomorrow’s data infrastructure for customer engagement.

            Organizations are already seeing success with AI-powered automated interaction summarization tools. One example is Maps Credit Union, a member-owned financial cooperative with 78,000 members and 10 full-service branches. Maps Credit Union’s loss prevention department saw significant results with their use of AutoSummary – where agents in this department were previously taking two to three minutes after each call to manually type their notes into a third-party noting system, call notetaking has been taking just 20-30 seconds post deployment of AutoSummary.

            “We targeted an improved call experience for members, better agent experience, and a clear quality management program, and our NiCE implementation delivered on those primary targets and much more,” said Michelle Seymour, Assistant Vice President of Contact Center and e-Services, Maps CU.

            Read the full case study to learn more about this successful implementation, and don’t hesitate to start realizing these gains at your organization!

            As AI agents, predictive analytics, and autonomous workflows become more common, structured interaction data will be the fuel that powers them. By adopting AI summarization today, you’re laying the groundwork for proactive service, hyper-personalization, and data-driven decision-making.

            Watch the webinar to revolutionize notetaking

            About the Author

            Catherine Forino-Small

            Catherine is a Director of Product Marketing for NiCE who has a passion for learning the ins and outs of products and understanding customer's needs. Catherine is responsible for developing product positioning, messaging, and other marketing and sales assets for the CXone Mpower portfolio, specifically customer service automation and workforce augmentation solutions.

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