How Tata Is Advancing AI-Driven API Innovation with SmartBear Swagger

At SmartBear, we’re seeing a shift in how teams design, build, and evolve APIs – faster, more intelligent, and increasingly powered by AI. Today, we’re proud to recognize A. Singh, senior developer from Tata Consultancy Services, as a winner of the AI Builders Award for Swagger. His work shows how teams can move beyond experimentation and apply AI in practical, scalable ways to transform API development.

Turning complex requirements into intelligent APIs

A. Singh’s team used SmartBear Swagger with AI to design an endpoint that dynamically returns seat pricing based on variables like aircraft type, route, load factor, and loyalty tier.

Instead of enduring lengthy back-and-forth cycles, AI accelerated alignment across product, engineering, and revenue management – ensuring the API design reflected real business logic from the start.

Cutting design time from days to hours

Speed matters – but so does getting it right. With AI in Swagger, the team reduced initial API design time from 1.5 days to under 3 hours. When the airline expanded into multi-city bookings, AI also helped evolve the existing /v1/booking API – handling complex updates that would typically require significant manual effort.

At the same time, AI identified incompatible schema changes early, preventing regression issues before they reached production.

Improving consistency across legacy APIs

Like many large organizations, the team was working with legacy OpenAPI files that multiple teams created – leading to inconsistencies and duplicated schemas.

Using AI in Swagger, they were able to:

• Detect duplicated schemas, including multiple versions of PassengerInfo.
• Consolidate and merge overlapping definitions.
• Normalize naming conventions.
• Convert outdated YAML structures to OpenAPI 3.1.

The impact:

• ~40% reduction in schema duplication
• Improved maintainability and readability
• Stronger alignment with CI/CD validation workflows

Scaling innovation across new revenue streams

The team used AI to move beyond optimization and unlock new opportunities.

As the airline introduced services like carbon offset bundles, premium meal upgrades, and airport fast-track options, AI in Swagger accelerated development by:

• Generating resource definitions from short descriptions
• Mapping relationships to existing systems (e.g., linking ancillaries to PNRs)
• Creating reusable components for pricing, availability, and inventory
• Auto-generating example payloads

These capabilities made it easier to onboard new teams, maintain consistency, and quickly experiment with new offerings.

Setting the standard for AI-powered API development

A. Singh’s work demonstrates what’s possible when teams embed AI directly into the API lifecycle.

From reducing design time to improving API quality and enabling faster innovation, this approach represents the future of API-first development.

Learn more about the AI Builders Award for SmartBear Swagger and how teams are redefining what’s possible with AI, and start a free trial to explore these capabilities for yourself.