Before successfully implementing an 'AI-first' development process, companies must establish a 'data-first' foundation. This includes well-structured design systems, coding repositories, and knowledge hubs. AI's speed and effectiveness are built upon these foundational assets.
Freshworks developed an internal AI agent, PRDGD ('PRD Genie'), that lives in the Cursor IDE. It drafts 80% of a PRD by automatically gathering evidence, conducting competitive analysis, analyzing usage metrics from their data lake, and structuring the document, freeing up PM time for strategic work.
To ensure quality and strategic fit, Freshworks' automated PRD-writing process includes an AI-powered 'CPO Check.' This agent reviews the generated document for strategic alignment, clarity, and unaddressed edge cases, essentially performing the first-pass review a Chief Product Officer would.
When assessing product managers for AI-centric roles, Freshworks' CPO Srini Raghavan prioritizes passion and hands-on experience over traditional interviews. He asks to see a candidate's Git repository to evaluate what they have built on their own initiative.
To successfully transform his product organization, Freshworks' CPO argues that leadership cannot simply issue edicts. He leads by example, having picked up software development again after 15 years to personally demonstrate the new AI-powered workflows to his team.
The paradigm of software development is shifting. Srini Raghavan argues that products must now be built for two types of users: humans and AI agents. This requires creating interfaces, like CLIs and APIs, specifically designed for AI consumption through technologies like MCPs.
Freshworks created a structured AI Product Development Lifecycle (AI PDLC). This isn't just ad-hoc tool usage; it's a governed system with AI agents assisting in discovery, design, QA, and deployment, all drawing from a central knowledge and context hub.
AI tools are collapsing the traditional, linear handoff between product, design, and engineering. Srini Raghavan of Freshworks argues this will lead to a unified 'product builder' role, where one person handles the entire process from customer research to shipping code.
As AI agents automate tasks like writing PRDs and gathering data, the product manager's core value shifts. They spend less time on operational execution and more time applying strategic judgment—validating AI outputs, providing correct context, and making crucial decisions.
Freshworks, a $3.8B public SaaS company, leveraged its AI-driven product development lifecycle to shrink its release cycle from six months to just two weeks. This proves that large enterprises can achieve startup-level velocity and agility by systemically integrating AI.
By empowering individuals with AI tools, Freshworks has seen a dramatic shift in team composition. The ratio of product managers to engineers has collapsed from a traditional 1:20 to nearly 1:1, enabling smaller, faster, and more autonomous teams.