AI-led tech delivery: From concept to action

In today's digital-first world, tech delivery is the engine driving your organization – planning, executing, and managing technology solutions that fuel growth. Now, put AI in the driver's seat. Suddenly, you're leveraging machine learning, automation, and predictive insights to slash costs, speed up product launches, enrich customer experiences, and seize new opportunities. This isn't just about keeping up; it's about pulling ahead.

In this blog, I explore the practical ways in which AI is transforming tech delivery.

When you integrate AI into your tech delivery systems, the process can become simpler, faster, and better. Here's how AI is making it happen:

1. Smarter software development: Organizations are integrating AI techniques and tools to enhance processes across the software development life cycle (SDLC):

• Data-led planning: AI can analyze historical data and provide insights to optimize project timelines and resource allocation
• Easier requirement gathering: AI-powered process mining tools can help extract user requirements easily
• Faster and better code development: AI models integrated with integrated development environments (IDEs) such as Microsoft Copilot, SonarLint, and GitHub Copilot can generate code snippets or assist with code reviews. AI-powered code quality tools like SonarQube enable better code quality
• Intelligent, automated testing: Testing tools like testRigor, LambdaTest, and UiPath Test Suite automate test case generation and carry out intelligent bug detection
• Continuous integration and delivery (CI/CD): AI streamlines CI/CD by automating the build, test, and deployment phases. This can help speed up release cycles, boost software quality, and reduce time to market. What's more, by detecting bugs and vulnerabilities early, AI minimizes setbacks
• Production and beyond: AI can provide analytics and insights during the deployment and maintenance phases to improve performance and user experience. These AI advancements speed up the SDLC, reduce errors, and improve overall software quality

2. Intelligent process automation (IPA): AI's machine learning, natural language processing, and cognitive capabilities can power the automation of intricate tasks like data extraction, document processing, and decision-making. By doing so, AI algorithms can learn from patterns. The result? Smarter decisions, greater accuracy, and a system that learns as it works, making everything from compliance to customer service smoother and more scalable.

3. Advanced data analytics: AI-powered analytics do more than report what's happened; they predict what's next. Whether it's spotting potential risks, planning maintenance, or forecasting demand, AI uses data to keep you one step ahead. This means more efficient operations, better resource use, and an improved experience for customers and teams alike.

4. Chatbots that engage and support: AI chatbots aren't just for answering FAQs any more. Integrated into tech delivery, they offer instant support to teams and customers. Whether it's resolving tickets faster or troubleshooting an issue, these bots deliver quick, accurate answers 24/7.

At Genpact, we've seen first-hand the impact of integrating AI into tech delivery. A couple of applications and use cases stand out:

1. Streamlining the creation of behavior-driven development (BDD) test scenarios:

Challenge

BDD relies on simple, user-friendly tests to ensure software meets business goals. But manually creating these tests is slow, error-prone, and hard to scale.

Solution

Our generative AI-powered solution offers a faster, automated, and traceable way to test applications. With the right infrastructure, gen AI can analyze user experiences and specifications to create realistic test scenarios.

Impact

Improved testing, better software quality, faster development cycles, lesser manual effort, and higher employee satisfaction – enabling scale and faster time to market. Here's a real-life success story.

2. Accelerated ticket resolution with a gen AI-powered chatbot

Challenge

Delays in gathering information and managing communications manually and across multiple systems can bottleneck ticket resolutions, hurting efficiency and customer satisfaction.

Solution

A generative AI-powered chatbot trained on organizational knowledge can help log, track, and resolve tickets at lightning speed.

Impact

Faster resolutions, proactive alerts, and happier teams and customers. Users can receive quick, consistent answers to queries on standard operating procedures (SOPs), empowering them with self-service options.

AI-led transformation isn't just about implementing the right technology – it calls for reimagining how we work. To really tap into its potential, organizations need infrastructure, data, and skilled teams ready to rethink old processes.

But the payoff is worth it. AI takes what used to be tedious or uncertain and turns it into a competitive edge. Faster launches, smarter decisions, happier customers – it's all possible today. Because the future of tech delivery isn't coming – it's already here. Now's the time to harness it.