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TL;DR: Improve agent productivity with AI using AI Copilot to generate context-aware replies, summarize ticket conversations, recommend next actions, and support multilingual communication. By surfacing relevant context directly within the workflow, AI Copilot helps agents resolve issues faster and focus on complex customer requests.
Agents are often expected to manage growing ticket volumes while still delivering timely, accurate, and personalized support. Yet agents spend valuable time reviewing ticket histories, drafting replies, searching for information, and managing conversations across multiple channels.
How can organizations improve agent productivity with AI without sacrificing the customer experience? The answer often comes down to giving agents the right context, guidance, and recommendations at the moment they are needed.
Many organizations are also adopting AI agents in customer service to handle routine requests, while AI-powered assistance helps agents work faster and focus on more complex customer issues.
The impact is already visible. Deloitte Digital’s 2026 survey found that 64% of service leaders reported higher agent productivity, while 39% reported lower cost per contact as a result of AI.
In this guide, we’ll explore practical ways to improve agent productivity with AI, the key challenges support teams face, and how BoldDesk helps support teams deliver faster, more consistent customer service.
Key challenges that reduce agent productivity in customer support
Several operational bottlenecks can reduce agent productivity in customer support, including repetitive tasks, poor ticket routing, language barriers, missed urgent tickets, and limited analytics visibility.
To improve agent productivity with AI, support leaders need to identify where these issues occur across agent workflows.
These challenges often stem from manual processes, disconnected systems, and limited visibility, making AI support automation tools valuable for streamlining support operations.
- Routine work reduces agent efficiency: Agents lose valuable time updating tickets, assigning conversations, ticket tagging, and writing similar customer replies. This limits the time available for high-value support interactions and faster issue resolution.
- Poor ticket routing creates resolution delays: Misrouted tickets lead to unnecessary handoffs, unassigned conversations, repeated triage, and longer customer wait times. When tickets do not reach the right agent or team from the start, support operations become less efficient.
- Language barriers affect global customer support: Communication gaps across languages can significantly delay global customer support by causing misunderstandings and repeated interactions. They make it harder to deliver fast, accurate, and empathetic service across diverse customer bases.
- Urgent tickets can be overlooked: Critical customer issues may be missed when incoming tickets are not clearly prioritized by urgency or sentiment. This increases the risk of delayed responses, SLA breaches, and lower customer satisfaction.
- Lack of real-time insights affects support performance: Without real-time visibility into ticket volume, SLA status, agent workload, and response trends, support managers may struggle to identify bottlenecks, workload imbalances, and service-quality gaps across support operations.
Manual support workflow vs. AI-powered support workflow
By eliminating unnecessary steps and improving operational efficiency, AI helps support teams scale customer service while maintaining high-quality customer experiences.
The table below highlights the difference between traditional support operations and AI-enhanced support workflows.
| Support process | Manual support workflow | AI-powered support workflow |
|---|---|---|
| Reply drafting | Agents write responses from scratch or search for templates manually. | AI Copilot generates contextual replies instantly based on ticket history and knowledge base content. |
| Ticket summaries | Agents read long conversations to understand the issue. | AI Copilot creates concise ticket summaries and conversation recaps automatically. |
| Multilingual support | Teams depend on bilingual agents or external translation tools. | AI Translate supports multilingual customer service by translating conversations in real time. |
| Sentiment analysis | Frustrated customers may go unnoticed until escalation occurs. | AI Copilot detects urgency, frustration, and negative sentiment early. |
| Agent productivity | Agents spend significant time on repetitive administrative work. | AI Copilot reduces drafting and context-review time. |
| Customer experience | Response times may vary depending on workload and staffing. | AI Copilot helps deliver faster, more personalized, and more consistent support experiences. |
Top ways to improve agent productivity with AI Copilot
Microsoft found that service representatives using Copilot spent 12% to 16% less time resolving cases, managed 9% to 12% more cases and chats, and needed 13% less peer assistance, demonstrating measurable productivity gains in customer service workflows.
The following strategies show how teams can improve agent productivity with AI Copilot by streamlining workflows, responding faster, and focusing more time on high-value customer interactions.
Generate and refine context-aware replies
AI Copilot helps agents respond faster by generating reply suggestions based on the customer’s message, conversation history, and support resources such as knowledge base articles, FAQs, and websites.
It can also summarize lengthy ticket threads, giving agents a quick overview of the issue, previous actions, and conversation context before suggesting a response.
Agents can refine suggestions using AI Assist options such as rephrase, shorten, elaborate, and grammar correction before sending. This reduces the time spent reviewing conversations, drafting replies, and editing responses while improving consistency across customer interactions.
Real-world scenario: Use AI summaries to shorten ticket resolution timelines
Challenge: Signature Peace of Mind Advisors, a managed security services provider, needed a practical ticketing system that could simplify its support workflow without adding unnecessary cost or complexity. The team wanted to consolidate its tech stack, reduce technical debt, and manage client requests more efficiently.
BoldDesk solution: BoldDesk provided a customizable help desk solution with features such as role-based access, AI summaries, and automated ticket responses. AI-powered summaries helped the internal team quickly understand ticket context and shorten ticket resolution timelines.
Impact: Agents could spend less time reviewing long ticket conversations and more time taking the next best action. This improved continuity during follow-ups, supported faster resolution, and showed how support teams can improve agent productivity with AI by reducing manual review and helping agents focus on issues that require expertise and judgment.
Guide agents toward the next best action
Not every customer issue has a clear path to resolution. AI Copilot can analyze conversation context, customer sentiment, and intent to recommend the most relevant next steps, helping agents make decisions faster and handle requests with greater confidence.
By identifying signals such as frustration, dissatisfaction, or urgency, Copilot gives agents additional context before they respond. This helps teams prioritize high-risk conversations, adjust communication tone appropriately, and determine whether a ticket requires escalation or immediate attention.
Instead of manually reviewing conversations or searching for guidance, agents receive recommendations directly within their workflow. This reduces guesswork, accelerates decision-making, and helps support teams deliver more consistent customer experiences.
Enable multilingual customer support with AI Translate
Language barriers can slow support operations when customers and agents communicate in different languages.
AI Translate and AI Copilot help agents understand incoming messages, draft context-aware responses, and communicate in the customer’s preferred language without switching between external translation tools.
By combining translation with AI-generated response suggestions, agents can deliver faster, more accurate support across regions while maintaining conversational context throughout the customer journey.
This helps teams serve a global customer base more efficiently, reduce response delays, and improve productivity without increasing headcount.
How AI Copilot works alongside other AI capabilities
AI Copilot delivers the biggest productivity gains when combined with other AI-powered tools that automate routine work, measure outcomes, and streamline workflows.
- AI actions: Beyond drafting replies, AI Actions help complete tasks directly from the conversation. They can update ticket fields, trigger workflows, retrieve information, or perform routine support actions without requiring agents to switch between multiple tools, reducing manual effort and speeding up resolution times.
- AI agents: Handle high-volume, common requests such as password resets, order status inquiries, and common policy questions. By resolving these routine issues automatically, they reduce ticket volume and allow support agents to focus on more complex customer conversations where AI Copilot can provide assistance.
- CSAT surveys: Faster responses are only valuable if they improve the customer experience. Automated customer satisfaction surveys help teams measure whether Copilot-assisted interactions are maintaining or improving customer satisfaction alongside productivity gains.
- AI analytics: AI-powered reports and analytics provide visibility into how AI Copilot is being used across the support team. Metrics such as suggestion acceptance rates, response times, ticket-handling efficiency, and time saved help managers measure the real impact of Copilot on agent productivity and identify opportunities for improvement.
How BoldDesk helps improve agent productivity with AI
The strategies covered in this article are most effective when AI is built into everyday support workflows. The examples below show how these capabilities can be applied in a help desk environment using BoldDesk to boost agent productivity.
- Reply faster with consistent responses: AI-assisted replies use ticket context and conversation history to help agents draft and refine responses, reducing time spent writing while maintaining consistency.
- Standardize workflows for faster onboarding: Relevant context, knowledge resources, and reply suggestions help agents follow established support processes and handle requests more confidently during customer onboarding.
- Reduce ticket handling time with AI summaries: AI-generated summaries highlight key conversation details, actions, and next steps so agents can quickly understand ticket context and move forward.
- Turn routine customer inquiries into self-service opportunities: AI surfaces relevant knowledge base articles and FAQs for common requests, helping customers find answers faster while surfacing context for agents.
- Prioritize urgent issues more effectively: AI sentiment analysis helps identify conversations that may need immediate attention, making it easier to focus on high-priority tickets.
Start improving agent productivity with AI Copilot today
Boosting agent productivity with AI is not about replacing agent expertise or pushing teams to handle more tickets with fewer people. It is about removing the friction that slows resolution, whether that is understanding complex ticket histories, navigating language barriers, or deciding what to do next.
AI Copilot delivers the most value when it helps agents understand issues faster, make better decisions, and respond with greater confidence.
BoldDesk brings these AI Copilot capabilities directly into the support workflow, helping teams streamline ticket handling and deliver more consistent support experiences.
Ready to improve agent productivity with AI? Start your free trial and see how AI Copilot can help your support team work more efficiently at scale.
Related articles
- Autonomous AI Agents: A Smart Way to Deliver Excellent Support
- 10 Effective Ways to Improve Team Productivity
- 5 Best Ways to Build and Organize a Customer Support Team
FAQs
Agent productivity measures how efficiently support agents handle customer requests while maintaining service quality. Common indicators include response times, resolution rates, workload management, and overall efficiency.
Yes. AI Copilot surfaces relevant knowledge, summarizes case history, and provides contextual guidance, helping new agents resolve issues more confidently without relying solely on experienced team members.
AI Copilot automatically surfaces relevant knowledge, previous case details, and recommended resources within the support workflow, reducing the need to manually search across multiple systems.
When evaluating a help desk with AI Copilot, look for capabilities such as contextual reply suggestions, conversation summaries, knowledge retrieval, multilingual support, workflow assistance, and seamless integration into the agent workspace.
Multilingual translation strengthens AI in customer support by helping agents understand and respond to customers in different languages without relying on external translation tools.
This reduces context switching and helps global support teams respond faster.
Yes. Many modern help desk platforms offer built-in AI Copilot capabilities that integrate directly into ticketing workflows, helping agents access context, generate responses, and resolve issues more efficiently from a single workspace.
