Revenue-Generating AI Agents in 4 Months – KRATTOS’ Journey

In 2025, in association with Google for Startups, we launched the ‘AI Agents Masterclass’ to help India’s startup ecosystem understand and leverage AI Agents to build AI-first companies that are lean by design, built for scale and globally competitive. With a focus on early-stage companies, we curated startups working on problem spaces that were a natural fit for agentic systems - domains where automation, decision-making and repeatable workflows could drive outsized impact. Regulated industries stood out as a compelling category.

Regulated industries such as construction and manufacturing have historically struggled to modernize critical operations due to strict compliance and data privacy requirements. Yet, these sectors are especially well-suited for AI Agents, given the highly repetitive, process-driven nature of their workflows. 

KRATTOS AI identified this gap early and set out to build secure, on-premise AI knowledge assistants. Looking to validate their architecture choices and learn from other agent builders, the team was selected for the ‘AI Agents Masterclass’. Through the Masterclass, KRATTOS AI walked away with four critical learnings:

1. Narrower, High-Impact Use Cases: Focus on specific workflows where the agent could own outcomes end-to-end.

2. True Agentic Architecture: Build a structured agent loop

3. Product-Grade Engineering: Production agents require orchestration, logging, evaluations and observability.

4. Measurement matters: Every workflow must be measured using metrics such as success rate, time saved, human override rate and error categories.

Since the AI Agents Masterclass, they have built the ‘KRATTOS Knowledge Agent’, a workflow-focused operations co-pilot. It is now in paid pilots with select customers and used daily by finance teams, HR teams and operations managers. Within four months, the agent became a revenue-driving product, helping close deals 3× faster through live agent demos and delivering clear, measurable ROI.

Such use cases reinforce what we emphasize across the ecosystem - and what we hope more founders will embrace in 2026 - that AI Agents can no longer be an afterthought but must be part of the core product strategy.