Enterprises have invested heavily in digital transformation to streamline operations, automate workflows, and improve customer experiences. While these initiatives have helped digitize business processes, employees still face a common challenge: determining the best course of action in the moment and delivering personalized customer experiences.
Whether serving customers, managing cases, handling sales opportunities, or resolving service requests, employees often need to gather information from multiple systems, review documentation, understand evolving policies, and consult subject matter experts before making a decision. As business processes become more complex, these interruptions can slow productivity, increase the risk of errors, and create inconsistencies across teams.
This is where AI-powered guidance has emerged as the next evolution of enterprise transformation. Rather than simply automating tasks, AI-powered guidance helps employees navigate work as it happens by delivering contextual recommendations, relevant knowledge, and next-best actions directly within their workflow. Pega GenAI Coach extends this capability by providing real-time AI assistance that helps employees make informed decisions, improve productivity, and deliver more consistent customer experiences.
Pega GenAI Coach is a generative AI-powered work assistant embedded within Pega applications that provides contextual guidance to users as they perform their work. By combining GenAI capabilities with workflow context, case data, business rules, and organizational knowledge, it helps employees make informed decisions and execute tasks more efficiently. Unlike traditional support tools that require users to actively search for answers, GenAI Coach delivers recommendations based on the work being performed. It understands the context of a case, the stage of a process, and the information available in the application to provide relevant guidance when needed.
For instance, when a customer service representative is working on a dispute investigation, instead of switching between multiple applications to check past transaction history and collect complete customer details, the representative can receive contextual recommendations directly within the workflow. This helps reduce delays, improve consistency, and streamline case resolution.
Customer service teams are expected to resolve issues quickly while maintaining service quality and complying with business policies. However, agents often need to review customer history, understand prior interactions, verify eligibility requirements, and determine the most appropriate resolution before taking action. This process can become time-consuming, particularly when information is spread across multiple systems or knowledge sources.
For instance:
A customer makes a complaint to the CSR because their internet service has been intermittent for several days.
Now, the CSR needs to verify the customer’s account information, review previous support requests, and assess the nature and severity of the reported issue to determine the next best step for resolution.

Using an AI work assistant to guide sales opportunity management
Sales teams often need to manage multiple leads, including interactions, follow-up activities, and revenue targets. Deciding on the right action to move a deal forward can be challenging, particularly when opportunities stall due to incomplete information or uncertainty about the next step.
Pega GenAI Coach can assist sales representatives by analyzing information available within the sales workflow, including opportunity details, prospect interactions, activity history, and pipeline status. In this context, it can provide recommendations to help representatives identify potential obstacles and determine appropriate actions to advance the opportunity.
For instance:
If a sales opportunity has shown limited activity for several weeks, GenAI Coach may highlight the lack of recent engagement, summarize previous interactions, and suggest follow-up actions based on established sales practices. It can also surface guidance from sales leaders, allowing representatives to apply proven sales practices without direct manager involvement.
Case Coach
This model operates within specific records such as opportunities, contacts, or accounts. It provides context-aware guidance tailored to the exact situation the employee is working on. For example, it can summarize a deal, highlight risks, or suggest next steps based on recent activities.
Landing Page Coach
This model focuses on high-level visibility. As soon as a user logs in, they are presented with a consolidated view of active opportunities, priorities, and deals that may need attention. This helps sales teams quickly decide where to focus their efforts.
As AI continues to reshape enterprise operations, organizations that successfully combine automation with real-time guidance will be better positioned to improve workforce effectiveness and customer outcomes. Pega GenAI Coach supports this transformation by delivering contextual recommendations, relevant knowledge, and next-best actions directly within business workflows, enabling employees to make faster and more informed decisions without disrupting their work.
Reference
https://academy.pega.com/topic/introduction-pega-genai-coach-sales/v1
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