Routine, multilingual requests bottlenecked IT. An AI assistant in Teams now resolves staff queries instantly in six languages.
A global denim brand operating in more than 50 countries with a workforce split between 450 retail and 550 corporate employees.
IT teams faced high volumes of routine requests in multiple languages, often receiving unclear tickets that slowed down resolution. Employees...
“We wanted Maia to feel like a smart colleague, not a chatbot.”
Denim and urban fashion brand specializing in raw, untreated clothing and accessories.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Led the deployment of Maia and integrated it with Teams and SharePoint for G-STAR.
Related implementations across industries and use cases
Generic queries clogged phone lines. AI now resolves 60% of app inquiries, freeing advisors to solve complex customer issues.
Routine queries tied up 1M annual calls. Now, an AI WhatsApp assistant resolves 50% of chats, routing complex cases to staff.
Response times stretched to six days. Generative AI now automates carrier checks to resolve tickets in two hours.
Four separate portals slowed resolution for 50,000 staff. A GenAI agent in Teams now resolves queries instantly in 17 languages.
Routine VPN and payslip queries bottlenecked support. Now, embedded AI agents resolve basic requests in Teams, deflecting 65% of tickets.
Manual concepting dragged for eight weeks. Marketers now generate on-brand assets in eight hours using a custom AI platform.
Disparate tools slowed 320,000 employees. Unifying on Teams and Copilot connected the workforce and embedded AI into daily habits.
Writing case notes consumed support staff. GenAI now drafts summaries instantly, saving IT and HR nearly 10 hours of work every day.
Operations relied on local Excel sheets. Custom LLMs now translate tickets instantly and automate approvals across 600 sites.