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8 strategies to improve agent productivity with AI

8 strategies to improve agent productivity with AI

17 Jun 2025

Orion Macapella

Customer service

A service rep wearing a headset works at her desk. A '#1 Service Rep of the Month' sticker is on her computer.
A service rep wearing a headset works at her desk. A '#1 Service Rep of the Month' sticker is on her computer.
A service rep wearing a headset works at her desk. A '#1 Service Rep of the Month' sticker is on her computer.
In this blog

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    The productivity of support agents has a significant impact on customer satisfaction. When human agents perform effectively, customers take notice. Building an effective customer support team is essential for delivering consistent, high-quality service. Here’s what matters:

    • Satisfied customers who rate their experience 5/5 stars are twice as likely to return.

    • 80% of content customers tend to spend more money.

    • Resolving issues on the first attempt shows that agents are working smart, not just hard.

    AI is changing the way support teams operate. It handles the mundane tasks and delves into customer data to uncover what truly matters. AI tools make chats personal and get problems solved fast. These solutions also enable agents to perform their tasks more effectively by providing instant access to information and automating repetitive processes.

    AI Agents tackle the straightforward questions so your human agents can wrestle with the complex stuff that needs their expertise. By handling routine enquiries, AI reduces agent workload and speeds up response times. Magic happens when AI and human agents collaborate, resulting in satisfied and happy customers.

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    Cue’s AI Agents take this partnership to the next level. These tools deliver lightning-fast responses and keep customer interactions flowing smoothly. The result? Support agents who feel productive instead of buried under endless tickets. This approach helps boost agent productivity and enhances overall team performance.

    A collage of key customer service metrics like NPS, FCR, CSAT, and AHT, surrounded by positive emojis like a trophy and thumbs-up.

    Introduction to agent productivity

    Agent productivity is the heartbeat of any high-performing contact centre. It’s all about how efficiently and effectively customer service agents handle customer interactions, resolve issues, and deliver exceptional customer service. When agent productivity is high, customers notice they get faster responses, better solutions, and a more positive experience overall.

    Why does this matter? Boosting agent productivity has a direct impact on customer satisfaction, reduces operational costs, and drives revenue growth. Productive agents can handle more customer enquiries, resolve issues on the first contact, and create memorable customer experiences that keep people coming back.

    To measure agent productivity, contact centres rely on key performance indicators (KPIs) like average handle time, first contact resolution, and customer satisfaction scores. These metrics help you see where your team shines and where there’s room to improve agent performance. By focusing on these KPIs and continuously improving agent efficiency, you set your contact centre up to deliver exceptional customer service every time.

    In the following sections, we’ll dive into proven strategies for boosting agent productivity, leveraging the latest AI-powered customer service software, and ensuring your team consistently exceeds customer expectations.

    1. Using AI for automation

    Automate repetitive tasks

    Nobody became a support agent to copy and paste the same answers all day. AI tools can handle repetitive tasks like answering frequently asked questions and collecting customer information, freeing your team to focus on complex problem-solving and building genuine customer relationships.

    Automation can address routine enquiries, freeing up human agents to focus on more complex and valuable work, which helps reduce their workload. Your team gets to do the work that matters. Cue’s AI Agents tackle customer questions, which means faster answers and more time for your team to solve the head-scratchers.

    Here’s what automation does for your business:

    • It boosts productivity by eliminating soul-crushing manual work.

    • It reduces agent workload by handling routine enquiries and repetitive tasks.

    • It makes tasks more accurate because AI Agents don’t have Monday mornings (What a dream).

    AI Agents also make customer conversations flow better. They handle the “What’s your return policy?” questions instantly, keeping customers happy and your support costs down. When you automate the routine stuff, your team can focus on delivering outstanding service.

    Simplify workflows with smart routing

    Ever watched a customer get bounced around like a pinball between departments? Not great, is it? Smart routing fixes that headache. AI checks each question and sends it straight to the right person in your team.

    This is known as intelligent routing, which automatically directs calls to the most suitable agents, improving efficiency, reducing handling time, and enhancing the overall customer experience. No more phone tree nightmares or customers explaining their problem for the third time.

    Smart ticket routing stops mistakes before they happen and speeds up responses. It keeps service quality consistent by meeting those KPIs and SLAs that management loves. Studies show automation makes workflow better, improving efficiency through these intelligent routing solutions, reducing effort, and keeping customers from wanting to throw their phones.

    Use bots for FAQs

    Use AI Agents to instantly resolve your most common customer enquiries. They excel at handling high-volume, repetitive questions like 'Where's my order?' and 'Can you resend my receipt?' — freeing up your team for more complex issues.

    This frees your team to tackle the problems that need human creativity. Cue's AI Agents respond instantly across channels like Facebook Messenger and multiple platforms, giving customers the quick help they're looking for.

    Take The RealReal as an example. They deployed bots for order tracking and receipts, which boosted productivity and cut down their ticket volume. Motel Rocks used AI agents to handle 43% of their tickets, leading to a 50% drop in overall tickets and a 9.44% increase in customer satisfaction.

    Automation helps your team deliver better service. With tools like Cue, you can streamline workflows, cut costs, and make customers genuinely happy.

    2. Enhancing agent efficiency with AI Tools

    Provide a unified agent workspace

    Tool overload is productivity poison. A unified workspace fixes this by putting tools, data, and conversations in one place. Cue’s shared inbox is a perfect example as it routes messages to the right team, making responses faster and more organised.

    Unifying communication channels such as email, live chat, and messaging within a single interface improves agent efficiency and enables seamless customer support.

    When everything lives in one place, agents can focus on solving problems instead of playing hide-and-seek with information. This approach eliminates data silos, accelerates solutions, and utilises resources efficiently.

    Contact centre software plays a key role by integrating tools and data, streamlining workflows for support teams. Tools like Slack send helpful reminders, keeping agents responsive without being annoying.

    Here’s how a unified workspace changes the game:

    Performance Metric

    Before AI Tools

    After AI Tools

    Improvement

    First-call resolution (FCR)

    40%

    80%

    40%

    Average handle time (AHT)

    10 minutes

    7 minutes

    30%

    Customer satisfaction (CSAT)

    70%

    85%

    15%

    Agent productivity

    Baseline

    Up by 30%

    30%

    Two support reps smiling and high-fiving, showing the positive results of using AI-powered tools.

    Equip reps with AI-powered knowledge access

    Customer service agents waste way too much time hunting for answers across different systems. AI tools connect all knowledge sources, making searches useful. These tools also eliminate duplicate information, so agents find exactly what they need without sifting through junk.

    Effective knowledge management streamlines information retrieval and improves resolution times by integrating knowledge systems into support workflows.

    Studies reveal the real benefits:

    Benefit description

    Improvement percentage

    Less time spent searching

    20-30%

    Fewer compliance-related mistakes

    50%

    When agents can access the right information quickly, problems get solved faster. This improves their efficiency and the customer experience.

    Reduce average handling time (AHT)

    Long wait times frustrate customers and stress out your team. AI tools help by gathering customer information and suggesting responses instantly.

    Cue works with CRM systems to give agents a complete picture of each customer. Tracking calls answered and optimising response to customer calls can help reduce AHT by ensuring prompt and efficient service.

    This comprehensive view helps agents resolve issues quickly. It also enables personalised service by allowing agents to tailor their support based on individual customer needs. Automating routine tasks with AI can reduce AHT by 30%, giving agents more time for complex problems that need their expertise.

    When agents have the right tools, they solve problems faster. Everyone wins.

    3. Improve first-call resolution (FCR)

    Use AI agents to guide conversations effectively

    First-call resolution shows how well problems get solved in one interaction. Higher FCR means fewer callbacks, happier customers, and less stressed agents. AI agents help by guiding conversations efficiently and accurately. Analysing agent interactions with quality assurance tools can further improve FCR by identifying coaching opportunities and ensuring consistent service.

    Cue’s AI Agents use smart technology to understand questions and suggest solutions quickly. This gives agents the right information to solve problems immediately.

    Comprehensive agent training, including video-based learning and targeted coaching, plays a crucial role in achieving high FCR by enhancing agent effectiveness. Texas Bank raised its FCR by 16%, eliminating nearly 500,000 repeat calls annually. This saved them over $1.4 million and increased customer satisfaction by 17%.

    AI agents keep agents focused on problem-solving instead of wrestling with clunky systems. They automate routine tasks and provide real-time assistance, making work easier and reducing errors. Elisa improved its FCR by 42% using AI agents, proving these tools can completely change customer support.

    Better FCR rates mean fewer follow-ups and happier customers

    When problems get fixed on the first try, customers feel valued. High FCR builds trust and loyalty, turning customers into genuine advocates.

    Improving FCR is also key to enhancing customer experiences, as it leads to greater satisfaction and operational efficiency. Quick resolutions also reduce follow-ups, letting agents handle new challenges.

    Here’s why better FCR improve customer satisfaction:

    • Quick fixes build customer loyalty to your brand.

    • Solving problems immediately creates trust and strong relationships.

    • Happy customers become your best marketing team.

    • Efficient service improves your reputation across the board.

    Cue’s AI Agents help agents achieve higher FCR by guiding conversations and providing accurate answers. This boosts customer happiness and means agents spend less time answering the same questions.

    4. Helping agents with training and support

    Speed up onboarding with AI tools

    Training new workers often takes forever, especially with complicated systems. Generative AI makes this process much faster by providing instant help and quick access to information. Instead of spending weeks reading manuals, new workers get answers immediately, making learning enjoyable.

    Example Description

    Effect on Training Process

    A new worker learning complex software uses AI for instant help.

    Speeds up training with immediate support.

    AI provides access to relevant information exactly when needed.

    Makes learning easier and improves retention.

    Offer live coaching and feedback

    Live coaching helps workers improve while they're working. AI tools monitor conversations and provide tips on things like active listening and empathy. This keeps workers focused and continuously developing their skills.

    Key things AI tools track include:

    • Customer Value: Shows how conversations affect long-term customer relationships.

    • Sentiment Analysis: Monitors customer emotions to guide workers in real-time.

    • Problem-Solving Speed: Measures how quickly issues get resolved, highlighting improvement opportunities.

    AI tools also analyse call recordings to help workers improve. Companies using AI feedback have seen faster service and shorter call times.

    With live coaching, workers can adjust their approach immediately, leading to better service and higher productivity.

    Celebrate worker achievements

    Recognition isn't just nice, it's essential for keeping workers engaged. Acknowledging their efforts can boost productivity by 9% and reduce absenteeism by 22%.

    Why recognition matters:

    • Happy workers are 13% more productive.

    • Companies with recognition programs have happier customers and better retention.

    • Regular recognition reduces workplace incidents by 22%.

    Study source

    Findings

    Gallup study

    Engaged workers make companies 21% more profitable.

    SHRM survey

    Recognition programs improve job satisfaction and worker loyalty.

    Oxford University

    Happy workers are 13% more productive.

    Simple actions like praising workers in meetings or giving small rewards make a huge difference. When workers feel appreciated, they perform better, improving customer support across the board.

    5. Optimising workforce management with AI

    Optimising workforce management is a game-changer for contact centres aiming to deliver great customer experiences.

    You need the right number of agents, with the right skills, available at the right times to handle every customer interaction smoothly. When workforce management is dialled in, you avoid long wait times, reduce agent burnout, and keep customer satisfaction high.

    Artificial intelligence is changing workforce management by bringing predictive analytics, automated scheduling, and smarter forecasting into the mix.

    With AI, contact centres can anticipate customer interaction volumes, adjust staffing in real time, and ensure every shift is covered by the most qualified agents. This not only improves agent productivity but also helps contact centres manage costs and deliver consistently excellent service.

    Let’s look at how AI can take your workforce management to the next level.

    Forecast staffing needs using AI-driven analytics

    AI-driven analytics are revolutionising how contact centres forecast staffing needs. By analysing historical data, seasonal trends, and real-time customer interaction volumes, AI can predict when call volumes will spike and when things will slow down. This means you can staff up during busy periods to keep customer satisfaction high and scale back during quieter times to control costs.

    Automate scheduling for peak efficiency

    Automating scheduling with AI is a powerful way to maximise agent productivity and ensure your contact centre runs like a well-oiled machine. AI-powered scheduling tools analyse agent availability, skill sets, and performance data to create optimised schedules that match staffing levels to predicted customer interaction volumes. This means less overtime, fewer scheduling conflicts, and a better work-life balance for your team.

    Image showing a customer getting an instant answer to a delivery question on his phone, illustrating the speed of an AI agent.

    6. Improving customer experience with AI

    Understanding how customers feel helps you deliver better service. AI tools use Natural Language Processing (NLP) and Machine Learning (ML) to analyse messages and identify emotions and concerns. These tools break down text, detect feelings, and get smarter over time.

    • NLP analyses language to find emotions in feedback.

    • ML learns from data to improve emotion detection accuracy.

    • Deep Learning identifies patterns in tone and context.

    • Text analytics extracts common themes and issues.

    By analysing feedback from multiple channels, you can respond quickly to customer needs. This helps resolve problems fast and keeps customers satisfied.

    Predict needs for faster and personalised help

    AI doesn't just identify emotions, but it also predicts what customers need. Predictive tools enable personalised conversations and faster problem resolution. AI can suggest solutions based on previous interactions or predict future needs.

    Let customers help themselves

    Customers often prefer solving problems independently. Self-service tools, AI Agents, FAQs, and guides let them find answers without waiting. These tools handle simple issues like order tracking, freeing your team for complex problems.

    • Self-service tools reduce tickets by answering common questions automatically.

    • Knowledge bases provide instant access to helpful information.

    • AI Agents guide users step-by-step, resolving issues efficiently.

    Lower ticket numbers and let customers fix issues alone

    When customers solve problems themselves, your team works more effectively. Self-service options reduce ticket volume, allowing agents to focus on high-priority tasks.

    Metric

    Description

    Impact on customer resolution

    Self-service usage

    Shows how often customers use self-help tools.

    Higher usage means better engagement.

    Issue resolution rate

    Tracks how many problems get solved.

    Higher rates mean happier customers.

    Customer satisfaction scores

    Measures customer happiness with service.

    Higher scores indicate better experiences.

    First contact resolution

    Tracks problems solved in one interaction.

    Higher rates mean faster solutions.

    With tools like Cue, you can offer 24/7 self-service that boosts efficiency and satisfaction.

    Add more digital ways to connect

    Customers want to communicate on platforms they already use. Adding channels like WhatsApp and web chat lets you meet them where they are. These tools enable quick conversations, making problem-solving faster and more convenient.

    Companies using AI are 50% more likely to predict customer needs. Engaged customers are six times more likely to try new products and four times more likely to recommend your brand.

    7. Creating a happy work environment

    Burnout happens when workers spend too much time on repetitive tasks. Automating these jobs makes work less exhausting and more enjoyable. Tools like Cue's AI Agents can handle routine tasks like data entry, generating reports, and following up with clients. This lets workers focus on meaningful work.

    As Simon Sinek said, "Working hard on what you love is passion. Working hard on what you don't love is stress."

    Here's how automation helps prevent burnout:

    Task Type

    How It Helps Burnout

    Repetitive tasks

    Automation eliminates the mind-numbing work that causes burnout.

    Client follow-ups

    Automation saves mental energy for important tasks.

    Data entry

    Makes work less tedious and more manageable.

    Reporting

    Improves efficiency and job satisfaction.

    Financial reconciliations

    Free time for strategic work.

    Support worker wellbeing

    Happy workers deliver better results. Wellness programs, fitness classes, and mindfulness sessions can improve worker health, reduce absenteeism, and increase retention. Companies have seen excellent results from these initiatives.

    Company

    Wellness Programme Details

    Results

    TechCo

    Fitness classes, mindfulness, and counselling services.

    Reduced absenteeism, happier workers, better engagement.

    PharmaCorp

    Health challenges and wellness fairs.

    Improved health metrics, lower cholesterol, and better teamwork.

    FinServe

    Financial wellness and debt management program.

    Reduced financial stress, happier workers, higher productivity.

    Cue's tools can help by reducing stressful tasks, giving workers more time to focus on their well-being.

    Encourage teamwork

    Teamwork works best when communication flows smoothly. Tools like Slack and Zoom help workers share ideas, track tasks, and solve problems together. These tools make collaboration enjoyable, keep projects organised, and ensure everyone stays informed.

    Here's how collaboration tools help:

    • They inspire workers to contribute to team success.

    • Brainstorming generates fresh ideas and creative solutions.

    • Task tracking keeps projects on schedule.

    • Clear communication ensures everyone stays aligned.

    Cue's shared inbox makes teamwork even more effective. It routes messages to the right team, helping workers solve customer problems faster.

    8. Measuring and improving performance

    Tracking KPIs shows you how well your team performs. Metrics like Average Handling Time (AHT), First-Call Resolution (FCR), Customer Satisfaction (CSAT), and Net Promoter Score (NPS) reveal team efficiency and customer happiness.

    Here's your guide to key KPIs and measurement:

    KPI

    What It Means

    How to Measure

    Customer Satisfaction (CSAT)

    Shows customer happiness after interactions.

    Use surveys with a 1–5 rating scale.

    Customer Effort Score (CES)

    Measures how easy it was for customers to resolve problems.

    Use surveys with a 1–7 rating scale.

    Net Promoter Score (NPS)

    Measures customer loyalty and likelihood to recommend.

    Use surveys with a 0–10 rating scale.

    Resolution Time

    Tracks how long it takes to resolve customer issues.

    Measure time from ticket creation to resolution.

    Escalation Rate

    Shows how many tickets need higher-level support.

    Calculate the percentage of escalated cases.

    Customer Retention Rate

    Tracks how many customers continue using your service.

    Measure retention over specific periods.

    By monitoring these numbers, you can identify what works and what needs improvement.

    Use AI to manage performance

    AI tools make performance management easier by identifying gaps in agent activity. Real-time data helps you make quick decisions and allocate resources effectively.

    • AI tools save time by analysing performance quickly.

    • Automated call reviews simplify compliance monitoring.

    • Real-time sentiment tracking helps improve customer satisfaction immediately.

    Using machine learning with real-time data can speed up decision-making by 30%. Tools like Cue offer these features, keeping your team focused and productive.

    Promote ongoing improvement

    Your team knows what works best because they handle the day-to-day challenges. Encourage them to share ideas for improving workflows. This builds their confidence and makes processes more efficient. AI tools can also identify patterns and suggest improvements based on data.

    Offer training and tools to build skills

    Continuous learning keeps your team performing at its best. AI training tools provide personalised lessons to help agents improve specific skills. Real-time feedback during customer interactions helps them get better immediately.

    Here's how AI training helps your team:

    • Personalised lessons target specific skill gaps.

    • Instant feedback improves customer interactions in real-time.

    • Focus on continuous learning improves service quality and efficiency.

    By supporting training and listening to feedback, you build a strong, adaptable team.

    Conclusion

    AI has changed how support teams work, making tasks quicker and smarter. It automates tedious work and solves problems faster than ever before. The strategies shared here show how AI tools can genuinely improve your team's performance.

    Cue's AI Agents and platform are powerful tools that help agents focus on meaningful work and deliver exceptional service.

    The results are impressive. Companies like JetBlue and Telenor have improved their operations and customer satisfaction using AI. Experts predict AI could save $80 billion in operational costs by 2026. This shows that using AI isn't just an option, it's essential for competitive businesses.

    Banner with text: Accelerate agent productivity with Cue AI. Includes a button to 'Get a free demo'.

    Try Cue today

    Ready to make your customer service a breeze? Book a demo with Cue now to see how our AI tools can fit your business. Whether you work in retail, automotive, or education, we'll show you how Cue can make your team more effective.

    Frequently asked questions

    What makes Cue's AI Agents special?

    Cue's AI Agents handle all customer questions intelligently, letting workers focus on complex problems. They integrate with platforms like WhatsApp and Messenger. They're easy to customise and scale with your needs.

    Can Cue fit different industries?

    Absolutely! Cue has solutions for e-commerce, automotive, insurance, and retail. Each solution addresses specific challenges like reducing cart abandonment or handling insurance claims. See how Cue can help your business at our industry solutions page.

    How do I start using Cue?

    Getting started is straightforward. Book a demo to see how Cue works for your specific needs. The demo will be tailored to your industry requirements. Request your demo now at Cue.

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    Ready to reach customers with WhatsApp?

    Grow sales by 160%

    Cut service costs by 73%

    Boost responses by 40%

    WhatsApp for Business solution by Cue
    WhatsApp for Business solution by Cue