Key Take Aways
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Pega has launched a new agentic self-service offering called the Self Service Agent, embedding enterprise workflows into diverse service channels.
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The solution leverages Pega’s blueprint platform, allowing rapid generation and testing of enterprise workflows, updated bi-weekly.
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Combining workflow automation with AI (including predictable and generative AI), the platform transforms static workflows into reliable, interactive self-service experiences.
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The approach aims to mitigate risks associated with unmanaged AI agents, particularly in regulated industries, by ensuring adherence to protocols and governance.
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The solution provides true predictability and control, enabling organisations to monitor performance, measure efficacy, and reduce black-box AI risks.
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It supports complex customer interactions, capable of handling multi-step processes and resolving inquiries autonomously, without human intervention.
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Multi-language functionality is built into the system, supporting global deployment across languages like Turkish and Spanish, and across various channels such as web, WhatsApp, and RCS.
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Pega Blueprint facilitates seamless migration from legacy systems, even those built on legacy tech like COBOL, enabling smooth modernisation.
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Early customer feedback indicates strong appetite for automation, with some organisations planning to reduce contact centre staffing levels.
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The new release is available now via Pega Blueprint, with broader general availability expected in early autumn across Pega Customer Service and Pega Infinity 25.
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The enhanced platform reduces development cycles from months to days, fostering rapid deployment and iterative testing.
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Industry outlook suggests a significant transformation in customer service roles, where front-line functions will reduce but shift towards higher-value, knowledge worker activities supported by AI.
Key Statistics
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Pega’s blueprint platform is updated on a bi-weekly basis, enabling fast development cycles.
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Client stories, such as Verizon, report a circa 20% improvement in customer satisfaction and a reduction in average handle times.
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LA County’s AI programme to identify and assist high-risk individuals has resulted in a 71% reduction in shelter admissions.
Key Discussion Points
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The market is saturated with AI-driven agents, but many suffer from limitations such as siloed deployment and lack of governance.
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The current challenge with AI agents lies in unpredictability and risk, especially regarding compliance and regulatory adherence.
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Integrating workflows with AI allows for greater predictability and control, reducing enterprise risk.
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The solution supports handling complex customer queries, including multi-step processes like insurance claims and billing, autonomously.
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Organisations operating across multiple geographies can deploy multilingual, channel-agnostic self-service workflows.
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The platform allows rapid transition from legacy to modernised systems leveraging blueprint ingestion, saving time and cost.
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User feedback reflects a desire to automate contact centres further but with controls to prevent unmanaged AI deployment.
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Industry trends forecast a reduction in traditional contact centre operations, replaced by more experience-centred, knowledge-based roles.
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The future of customer service involves proactive, pre-emptive support via statistical AI and advanced risk modelling.
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Organisations value governance combined with AI automation, ensuring compliance and reducing the risk of “rogue” AI behaviour.
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The solution aims to enable collaboration and design thinking between business and technical teams through visualisation tools.
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The industry is still at an early stage of broad AI adoption, with significant transformation expected over the next three to five years.
Podcast Description
This is a podcast focused on the evolving landscape of customer experience technology, with insights into innovative solutions that combine workflow automation and AI. Hosted in a professional, strategic style, it covers current market challenges, new product launches, and industry trends, providing senior managers in financial services with a clear understanding of how emerging tools like Pega’s Self Service Agent are shaping the future of customer service. The podcast aims to facilitate informed decision-making around digital transformation, governance, and operational efficiency in a rapidly changing environment.
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