TechBulls SoftTech

AI-Enhanced Developer Support & LLM-Optimized Documentation

Industry

FinTech (Payments)

Company Size

500+

Duration

14 weeks (on going)

AI-Enhanced Developer Support & LLM-Optimized Documentation

TechBulls helped a fintech client reduce developer support issues by building an AI-powered chatbot and refactoring documentation for AI tools. They also created standardized SDKs with clear examples. This led to 50% fewer support tickets and 30% faster onboarding, advancing the client’s goal of an AI-native developer experience. The solution was delivered in six weeks with ongoing support.

What were the challenges?

The client offered a set of developer-facing APIs and SDKs used by hundreds of partners and merchants. However, the integration process often led to repeated support queries around authentication, payload structures, and error handling — across multiple programming languages.
Traditional documentation was static, verbose, and not designed for chatbot consumption or AI-assisted IDEs.

How did we solve it?

TechBulls partnered with the client to design an AI-first developer experience:
AI-Powered Chatbot for Integration Support

Chatbot embedded in the developer portal

Answers real-time questions on API usage, SDK functions, and integration flows

Supports multi-language code suggestions (Python, Java, Node.js, etc.)

Handles edge cases and error code resolution

AI-Powered Chatbot for Integration Support

Chatbot embedded in the developer portal

Answers real-time questions on API usage, SDK functions, and integration flows

Supports multi-language code suggestions (Python, Java, Node.js, etc.)

Handles edge cases and error code resolution

Standardized SDK Libraries

Built clean, idiomatic SDKs for key programming languages

Each SDK bundled with AI-readable code comments and usage examples

Maintained alongside version-controlled, chatbot-accessible changelogs

How did the client benefit?

50% Fewer Integration
Support Tickets:

Streamlined resources and improved clarity
significantly reduced repetitive developer queries.

30% Faster Onboarding for Merchant Engineers:

Better documentation and tooling accelerated the setup process for new partners.

Higher SDK Adoption with Cleaner, Multilingual Code:

Developers embraced the SDKs thanks to clear, language-specific examples.

Docs Power Chatbots and
In-IDE Copilots:

The new documentation format integrates directly with AI tools, boosting developer productivity.

Supports AI-Native Developer Experience Vision:

This initiative moves the platform closer to its long-term goal of a seamless, AI-first developer journey.

TechBulls' Role

This engagement lays the groundwork for a future of fully autonomous developer agents—where AI copilots go beyond answering questions to actively guiding, writing, and testing integrations from start to finish. TechBulls took complete ownership of the solution, from designing and fine-tuning the chatbot architecture to building an LLM-optimized documentation framework. The team also refactored and versioned SDKs across key languages, ensuring seamless integration with developer portals, IDEs, and RAG-based backend systems.

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