Coding

AI-Driven Code Generation Significantly Boosts Developer Productivity

Leading enterprises have implemented AI-powered code generation tools to enhance coding efficiency, resulting in measurable productivity gains.

ANZ Bank: Conducted a six-week experiment involving over 1,000 engineers using an AI-assisted coding tool. The study reported a notable boost in productivity and code quality, with participants completing tasks up to 55% faster. Source: arxiv
Intuit: Integrated a Generative AI-driven code-generation tool tailored with company-specific code context patterns. This initiative led to a 2-3x reduction in integration task completion times, significantly accelerating the development process. Source: Beyond Code Generation: More Efficient Software Development

USE CASES

Real World Impact with AI

Content Analysis & Summarization

AI-Driven Summarization Accelerates Decision-Making and Slashes Document Review Times by up to 75%

At Crowell & Moring, generative AI tools reduced the time required to summarize client intake documents from 2–4 hours to under 30 minutes—cutting processing time by up to 75% and enabling legal teams to focus on higher-value tasks. Source: [FT – US law firms prioritise jobs and safety in AI rollout]
GE Aerospace’s “Wingmate” AI system, now in use by 52,000 employees, has processed over 200,000 pages of technical manuals—streamlining document review and empowering engineers to quickly extract critical insights to boost operational efficiency. Source: [Barrons – GE Aerospace Partners With Microsoft to Bring New AI Tools to Its Workforce]

Customer Support

AI-Powered Solutions Elevate Customer Support Efficiency

Several enterprises have integrated AI-driven tools into their customer support systems, resulting in significant improvements in response times and service quality.

Comcast: Implemented the “Ask Me Anything” feature, leveraging Large Language Models to assist customer service agents in real-time. This innovation led to agents spending approximately 10% less time per conversation, translating to substantial annual savings. Source: "Ask Me Anything": How Comcast Uses LLMs to Assist Agents in Real Time
Allstate Insurance: Utilized OpenAI's GPT models, customized with company-specific terminology, to generate empathetic and clear customer communications. This initiative led to AI drafting approximately 50,000 communications daily, which are then reviewed by human representatives, enhancing customer satisfaction and reducing response times. Source: Turns Out AI Is More Empathetic Than Allstate’s Insurance Reps

Ticketing Support

AI-Driven Solutions Enhance Ticket Resolution Efficiency

Several organizations have integrated AI-powered tools into their ticketing support systems, resulting in notable reductions in resolution times and operational costs.

Tata Eksi: Implemented the GenAI-powered ticket resolution system ‘CikBuddy’ for a leading technology company managing approximately 1,000 daily support tickets. This solution resulted in a 120x increase in productivity, a 50% decrease in ticket volume, and a 70% improvement in customer satisfaction. Source: GenAI-Powered Ticket Resolution: Revolutionising IT Support
Klarna: Leveraged AI chatbots to handle customer queries, reducing average resolution time from 11 minutes to just 2 minutes. This implementation allowed the company to reduce its workforce from approximately 5,000 to 3,800 employees, primarily through attrition, while increasing average revenue per employee by 73%. Source: Sweden's Klarna says AI chatbots help shrink headcount