Brigita’s Approach to AI-First Digital Transformation
Digital transformation is no longer optional—it is essential for businesses that want to stay competitive in a fast-changing digital economy. At Brigita, we follow an AI-first digital transformation approach that helps organizations move beyond traditional modernization and unlock real business value using Artificial Intelligence (AI), Generative AI, advanced analytics, and cloud-native technologies. Our strategy is […]
How Brigita Helps Enterprises Adopt Generative AI
Generative AI is revolutionizing how enterprises operate, innovate, and create value. From automating content creation to generating predictive insights, this advanced technology allows businesses to improve efficiency, enhance customer experiences, and make smarter decisions. Enterprises across India, USA, UAE, GCC, and Dubai are rapidly exploring Generative AI, and Brigita is at the forefront, helping organizations […]
Building Test Suites for GenAI Applications: Manual & Automated Strategies
As Generative AI (GenAI) technologies rapidly evolve, they are reshaping industries through intelligent text generation, image synthesis, and autonomous decision-making. However, testing such systems presents new challenges. Unlike traditional software, where outputs are deterministic, GenAI systems produce probabilistic and context-sensitive responses. This unpredictability calls for innovative testing frameworks that combine both manual and automated approaches […]
Hybrid RAG Implementations: Combining Local and Cloud LLMs for Smarter Retrieval-Augmented Generation
In recent times, Retrieval-Augmented Generation (RAG) has become a powerful approach to make Large Language Models (LLMs) more reliable, accurate, and up-to-date. But as organizations grow, so does their need for flexible and secure RAG systems. That’s where Hybrid RAG comes in — a setup that combines Local and Cloud-based LLMs to get the best […]
Leveraging Managed AI Services: Comparative Insights Across Major Cloud Providers
The cloud has changed how we build and run machine-learning systems. A decade ago, teams spent weeks wiring GPUs, configuring drivers, and wrestling with libraries before the first model could even train. Now, managed AI services from major cloud vendors handle that heavy lifting—letting data scientists and engineers focus on the part that matters most: […]
Building Multi-Agent Systems: Orchestration Patterns for GenAI Workflows
In today’s rapidly evolving AI landscape, multi-agent systems in GenAI workflows are redefining how businesses build, automate, and scale their operations. By enabling multiple intelligent agents to work together, enterprises can achieve outcomes that are faster, smarter, and more adaptive than ever before. But what exactly are multi-agent systems, and how can they transform the […]
Prompt Engineering Techniques for Domain-Specific LLMs in Production
Large Language Models (LLMs) are no longer confined to research labs or experimental chatbots. In 2025, they are becoming core to Enterprise AI — powering search, customer support, knowledge discovery, workflow automation, and decision-making systems. But here’s the challenge: out-of-the-box LLMs are trained on vast internet data, not the unique needs of your enterprise. A […]
Retrieval Augmented Generation (RAG): Beyond the Basics – Improving Contextual Accuracy with Hybrid Vector Databases
Artificial Intelligence models are only as smart as the information they access. While large language models (LLMs) have transformed how we generate insights, summarize data, and automate tasks, they still face one major challenge — staying accurate and relevant when the world changes. This is where Retrieval-Augmented Generation (RAG) steps in — and now, with […]
Practical LLM Orchestration: Real-World Patterns for Self-Healing Enterprise Workflows
As Large Language Models (LLMs) move from research to real-world enterprise environments, their role is expanding beyond chatbots and Q&A tools. Forward-thinking organizations are embedding LLMs into complex workflows — not just to generate responses but to reason, adapt, and recover when processes fail. This is where LLM orchestration comes in — a systematic way […]
Agentic Automation in Business Processes: Building, Monitoring, and Iterating AI Workflows
The rise of Agentic Automation is changing how businesses design, manage, and scale their processes. Unlike traditional automation that follows pre-set rules, agentic systems use AI-driven agents that can make decisions, adapt to changes, and continuously improve workflows. For enterprises looking to stay competitive, adopting this new generation of automation is no longer optional—it’s a […]