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West Sussex County Council: Improving resident services with gen AI in the Customer Service Center

Google Cloud Results
  • Enables residents to quickly determine eligibility for care services and benefits

  • Improves Contact Center services with faster, more accurate replies to inquiries

  • Accelerates staff access to critical guidelines for social care

  • Provides a versatile platform for the council to roll out dozens of gen AI services

West Sussex County Council selected partner Yosh.AI to deploy Google Cloud AI technologies to improve resident services and boost efficiencies across the organization.

Transforming resident services and Council efficiency with gen AI

It is essential that we offer fast, accurate information for residents seeking social care and benefits. Google Cloud and Yosh.AI enable us to confirm their status quickly and clearly.

Stewart Laird

CIO, West Sussex County Council

Public sector organizations are increasingly looking to better serve constituents by tapping into AI and generative AI. West Sussex County Council in the UK is leading the way with AI-powered tools that improve resident services while accelerating employee access to policies, procedures, and other essential documents.

Just 50 miles south of London, the county is home to 890,000 residents as well as the South Downs National Park, and Gatwick Airport, one of the UK's busiest transport hubs. The council is responsible for critical infrastructure and social services including health, education, public transport, road maintenance, and waste disposal.

As part of the council's Digital Strategy, Stewart Laird, CIO, West Sussex County Council, prioritized a strategic approach to generative AI and AI agent technology. The goal was to use the technology and adapt it to potentially hundreds of use cases across the organization to improve services and streamline service delivery. "We support the council's mission to assist residents at every important stage of their lives, from registering a birth to offering care and advice later in life," he says.

The primary goal was to improve experiences of residents, provide choice over channels to contact the Council, and to deliver efficiencies to drive down costs. West Sussex County Council also knew AI represented a perfect opportunity to innovate in ways that enhance automation to support internal teams. 

After researching technology solutions, including AI capabilities, Laird selected Google Cloud as the platform for the council's AI initiatives. They also partnered with Yosh.AI, a Google Cloud partner specializing in generative AI solutions for contact centers and employees. "Yosh.AI understood our vision for a targeted, agile solution that could be adapted to call centers, frontline services, and back-office employee tasks."

A versatile AI platform designed for the future

With extensive experience in deploying conversational AI solutions and guiding contact center transformations using generative AI, Yosh.AI advised the Council on adopting data-driven approaches. This approach provides accurate insights for the transformation, maximizing service and business benefits, and establishing a timeline that ensures the most efficient use of resources.

After analyzing previous conversations and the Council's requirements, a one-year transformation strategy was developed. The insights gleaned from this analysis enabled Yosh.AI to recommend the most efficient use of products, including the implementation of the new contact center Google Cloud Contact Center AI Platform (CCAIP) and a set of AI agents with specific scopes to address the most pressing needs of the Council's residents.

There are hundreds of scenarios where gen AI could improve council services and reduce pressure on budgets. Google Cloud and Yosh.AI gave us a roadmap to identify and benefit from these opportunities.

Stewart Laird

CIO, West Sussex County Council

"A wave of contact center transformations is building, propelled by the recognized potential of AI and generative AI to automate and enhance operations. However, we urge our clients to look beyond the simple implementation of individual products like text and voice AI agents," says Katarzyna Dorsey, CEO of Yosh.AI. "True value lies in a holistic understanding of where AI can deliver the greatest impact, identifying specific AI solutions that not only optimize costs but also elevate team productivity. This data-driven insight should form the bedrock of both the transformation strategy and the development of tailored AI products, ensuring a truly transformative and impactful outcome."

Working closely with the council's IT team, Yosh.AI identified several 'quick win' scenarios by using the Google Cloud generative AI platform. For example, out of every 100,000 people who contact the council's Customer Service Center about adult social care, only 5,000 qualify for the service. To provide a faster and more helpful experience — benefiting residents and relieving pressure on the Customer Service Center — Yosh.AI developed an online chatbot that engages residents in real-time conversations to determine eligibility. Additionally, a chatbot assistant is in the works to provide Customer Advisors with suggested responses and other insights to deliver faster, more accurate answers.

Another gen AI agent aims to reduce the time council employees spend searching for information, such as Adult Social care teams quick access through a chatbot to request policy process guides, legislation, and other important documents.

Laird attributes the versatility and speed of the council's AI initiative to Yosh.AI's expertise in solutions that support both voice and text conversations, alongside Google Cloud's fast-evolving generative AI ecosystem. This includes Google Cloud Dialogflow, a platform used for building conversational agents, and Vertex AI, which helps develop and scale machine learning models. Yosh.AI also utilizes Google Cloud generative AI models within Gemini to enhance chatbot performance.

Dialogflow is also central to the Contact Center as a Service (CCAI Platform) used at the council's Customer Service Centre while Dialogflow focuses on creating virtual agents, CCAI Platform extends this with features such as Agent Assist, which will soon help council staff by providing real-time transcription, suggested responses, and other AI-powered insights during calls.

Laird sees chatbots as having enormous potential beyond frontline, resident-facing services. Thanks to the insights gathered during the council's early AI deployments, this data-driven approach allows the council to strategically target areas for improvement, optimizing both resources and service delivery.

West Sussex County Council now has text and voice AI agents for residents, while several internal teams are already using 14 unique gen AI agents that have improved efficiency through faster and better document search.

Looking to the future, Laird anticipates the use of avatars to make chatbots more accessible and engaging, whether preparing staff for training at the council's Fire and Rescue Station or supporting reception staff at libraries and community centers. "With Google Cloud and Yosh.AI, we have a versatile AI platform to improve resident services, identify opportunities for efficiency, and stretch our budget further across the organization," says Laird.

West Sussex County Council opted for a comprehensive Google contact center platform, enabling them to leverage a suite of integrated AI products. This unified ecosystem not only streamlines implementation through pre-existing interoperability but also accelerates results and reduces expenditure.

West Sussex County Council provides a range of services including education, healthcare, social care, and transport infrastructure to 890,000 residents.

Industry: Public Sector

Location: United Kingdom

Products: CCAI Platform, Dialogflow, Conversational Agents, Vertex AI


About Google Cloud partner- Yosh.AI

Yosh.AI is a Google Cloud partner that specializes in transformation of contact centers, automation through virtual agents, and increasing employee efficiency with gen AI. 

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