Context Engineering for an Agentic AI future in 2026

By Ravindra Ramnani, Senior Manager, Solutions Architecture, Elastic

In 2026, organisations won’t just deploy AI – they will examine how they can provide AI with as much context as possible, so that it can deliver relevant, accurate, and responsible output. Context engineering, which provides an AI agent with the right data at the right time, will become a critical element for AI success.

India leads the Asia Pacific and Japan region in AI adoption with a 92% adoption rate of AI among employees, according to a recent Boston Consulting Group study. As technology matures, India will need to focus on tangible business results driven by AI, rather than just on adoption rates.

The large language model (LLM) is no longer sufficient on its own. By connecting LLMs with contextually accurate data, AI can review the data, plan, and act to achieve a business outcome with minimum human ...