Conversational support

CoRover.ai builds human-centric conversational platforms for brands and enterprises, including BharatGPT and BharatGPT.ai, to deliver multilingual virtual assistant and chatbot experiences.The platform is designed to operate within controlled data ecosystems, supports more than 100 languages, and allows businesses to deploy personalized bots backed by Gemini via Vertex AI.CoRover also uses Google Cloud infrastructure services to support scale, security, and voice/text capabilities.

CoRover.aiRetail

The Arizona Health Care Cost Containment System (AHCCCS), a Medicaid agency, developed a Generative AI-powered Opioid Use Disorder (OUD) Service Provider Locator to help connect individuals with opioid addiction to treatment providers and resources efficiently.

Arizona Health Care Cost Containment System (AHCCCS)Public Sector

FairPrice Group launched AI-powered supermarkets with cloud-connected shopping carts featuring in-cart assistants powered by Google Cloud's Chirp 2 speech recognition and Gemini API for personalized product recommendations and conversations.Customers benefit from improved search with Vertex AI Search and in-store knowledge agents providing recipe-based complementary product suggestions using Google Search API, Vertex AI RAG Engine, and Gemini API.FairPrice Group employees use Gemini Enterprise integrated with Google Workspace for faster information synthesis and custom agent development via no-code tools, automating workflows in HR, customer service, and marketing.Campaign ad creation was accelerated by 10x and costs reduced by up to 100x using Imagen 4 and Veo 3 models on Vertex AI with the Gemini API.The Group also deployed wellness assistants using the Gemini API and various vendor APIs to provide personalized health and nutrition advice in-store.

FairPrice GroupRetail

Marks & Spencer, a British multinational retailer, sought to modernize customer service across its 13 UK and Ireland stores to handle millions of customer calls efficiently and deliver personalized service.The challenge was to replace outdated switchboard systems with an automated natural language speech recognition platform to improve call routing, provide self-service options, and accurately detect customer intent in real time.In partnership with Sabio Group, Marks & Spencer implemented Google Cloud Contact Center AI and Dialogflow CX along with Google Voice APIs to automate call handling, route over 7 million calls through Dialogflow, enabling a 50% reduction in store call volume and 92% accuracy in understanding customer intents within four months.The solution allows call center staff to update the platform’s vocabulary autonomously for seasonal promotions, enhancing responsiveness without requiring engineering involvement.This deployment led to improved call routing, higher customer satisfaction, reduced operational costs, and ongoing plans to add more conversational AI features for webchat and online product availability inquiries.

Marks & SpencerRetail

Shopify developed Sidekick, an AI-powered commerce assistant to help millions of merchants with personalized, expert guidance for business decisions and operations.Sidekick leverages Anthropic's Claude large language models hosted on Google Cloud Vertex AI to provide natural language conversational AI that can execute multiple tool calls for complex queries.Google Cloud infrastructure components such as Bigtable, BigQuery, Compute Engine, and Google Kubernetes Engine support low latency, high availability, and rapid deployment and iteration of new AI features for Sidekick.This AI assistant enables merchants to quickly get actionable insights, facilitating faster store setup, analytics, and decision-making, speeding time to first sale for new entrepreneurs.Shopify utilizes Model Garden on Vertex AI to easily access and deploy various Claude and Gemini models internally for efficiency and innovation.

ShopifyRetail

Megamedia, a leading media holding company in Chile, aimed to simplify access to public government support program information and improve user experience for visitors of its news website. The company built a generative AI-powered chatbot to enable personalized queries about government benefits programs, replacing slow manual searches through multiple websites.Megamedia used Amazon Bedrock, accessed via the Generative AI Application Builder on AWS, and integrated intelligent enterprise search with Amazon Kendra to create and deploy the chatbot. The chatbot leverages the Claude 2 large language model (LLM) from Anthropic, hosted by Amazon Bedrock, to provide conversational and accurate responses. Partner ARKHO contributed AI expertise and helped refine and deploy the model on the website.The resulting Dato Útil chatbot achieves over 90% accuracy in answering user queries and reduced information search time from hours to about 30 seconds. It supports journalists to find source government information more efficiently, easing internal adoption. This solution launched publicly in May 2024 after a rapid 4-month development period.

MegamediaPublic Sector

Bevar Ukraine is an independent Danish non-profit humanitarian organization that supports displaced Ukrainians in Denmark with social and legal help. It built Victor, a generative AI virtual assistant to answer multilingual, context-aware questions about housing, healthcare, employment registration, and legal rights.The solution was developed with AWS using Amazon Bedrock, Amazon Titan Embeddings, Amazon EC2, and Amazon S3, with human-in-the-loop escalation and GDPR-focused security and privacy controls.

Bevar UkraineOther

Save the Children España (SCE) tackled the challenge of high non-take-up rates of social assistance benefits such as Minimum Vital Income (IMV) in Spain caused by lack of awareness and application difficulties.They developed a multilingual web application featuring a chat-based AI assistant that delivers localized, context-sensitive information about social benefits to families and provides support to social workers.The solution integrates multiple AWS AI services including Amazon Bedrock for generative large language models, Amazon Kendra for intelligent document indexing and search, Amazon S3, DynamoDB, AWS Lambda, and API Gateway, creating a scalable, extensible platform.

Save the Children EspañaPublic Sector

HEINEKEN, a global beverage and consumer goods leader, sought to break down information siloes and speed up access to internal resources. By deploying secure, Azure OpenAI-powered chatbots within Microsoft Teams, HEINEKEN enabled conversational interaction with critical business processes (e.g., procurement, sales, finance). The bots provide natural language retrieval from multiple knowledge bases, automate document handling, and offer multilingual reporting for field representatives via voice-enabled apps. Several pilots target conversational access to business data and workflow automation while observing strict security and governance requirements for internal AI adoption. Early results showcase increased productivity, improved employee experience, and enhanced information discovery with minimal learning curve, thanks to Microsoft integration. HEINEKEN continues to expand its AI strategy in partnership with Microsoft.

HeinekenConsumer & Food

The North Carolina Division of Employment Security (NCDES) implemented a generative AI-powered virtual assistant to modernize its unemployment insurance claim application process.NCDES aimed to improve speed and quality of customer support, reduce call center wait times, and provide 24/7 service access securely and responsibly.AWS services including Amazon Bedrock, Amazon Lex, AWS Lambda, Amazon OpenSearch Service, Amazon Comprehend, AWS Security Hub, AWS Key Management Service, and AWS Certificate Manager were used to build a secure, scalable, and compliant generative AI chatbot solution.The chatbot combines FAQ matching with foundation model-driven fallback responses to deliver accurate answers grounded in an internal knowledge base while protecting user privacy and minimizing hallucinations.Since launch in February 2025, the chatbot handled over 2,700 inquiries in the first month, reduced human intervention, improved citizen and employee experience, and provided insights for ongoing process and knowledge base improvements.

North Carolina Division of Employment SecurityPublic Sector