Gunjan Doshi, Founder & Executive Chairman of InRhythm, has spent over two decades helping the world’s most ambitious enterprises innovate at speed. Since 2002, InRhythm has been the silent architect behind Fortune 50 leaders and high-growth startups alike—launching mission-critical platforms that move industries and create billions in business value.
Today, Doshi sees Artificial Intelligence not as a tool, but as a new operating system for enterprise innovation. Under his leadership, InRhythm is pioneering a disciplined approach to AI transformation—helping enterprises shift from experimentation to impact, and from adoption to orchestration.
Q: Gunjan, InRhythm has a track record of driving digital transformation. How does AI fit into that mission today?
Gunjan Doshi: At InRhythm, our mission has always been about speed-to-impact—helping enterprises launch their most critical products faster, better, and smarter. AI is the inevitable next chapter in that mission.
Where most see AI as productivity tooling, I see it as an intelligence layer across the enterprise. It’s not just about writing code faster—it’s about re-architecting how products are imagined, built, and scaled. AI dissolves barriers like technical debt, accelerates modernization, and opens up entirely new modes of innovation. For me, it’s not about “adopting AI”—it’s about weaponizing AI to future-proof entire businesses.
Q: What specific AI offerings differentiate InRhythm’s approach?
Gunjan Doshi: We designed our AI framework as a full-spectrum transformation engine. It’s not a menu—it’s an operating rhythm.
- AI Maturity Index – A rigorous benchmark of where an organization really stands—strategy, infrastructure, governance, culture. Leaders walk away with a brutally clear roadmap.
- AI Studio – From whiteboard to working prototype in 90–120 days. This is where strategy becomes execution, with measurable business outcomes.
- AI Playbook – The codified playbook for AI-native enterprises—workshops, training, and governance practices that sustain transformation long after we leave the room.
And then there are our AI Accelerators—battle-tested modules that embed AI directly into the software development lifecycle without losing control:
- Test Automation Copilots that compress QA cycles.
- Tech Debt Refactoring agents that turn legacy drag into velocity.
- AI-driven Migration tooling for cloud and platform shifts.
- Architecture copilots that guide complex design decisions.
- AI Product Owner copilots that transform backlog prioritization.
This isn’t theory. These accelerators are leverage points that enterprises can use today.
Q: How are enterprises actually using AI to drive advantage?
Gunjan Doshi: We’re seeing three clear frontiers emerge:
- Product Innovation – Embedding intelligence into products themselves. In financial services, for example, we’ve seen AI optimize customer interactions down to the word—boosting clarity, trust, and conversion.
- Platform Modernization – Refactoring decades of legacy code used to take months. With AI, we can collapse those timelines while de-risking modernization.
- Engineering Workflow Transformation – AI copilots and agents aren’t just autocomplete—they orchestrate debugging, documentation, security, and planning. This keeps engineers in flow and focused on solving higher-value problems.
The real transformation is not “doing AI.” It’s becoming AI-native.
Q: InRhythm’s workshops are highly regarded. How do they fit into your AI Playbook?
Gunjan Doshi: Our workshops are the ignition point. They’re not lectures; they’re live-fire simulations.
Participants don’t just learn about AI—they use it against real enterprise challenges. They see AI agents refactor legacy code, generate test suites, and orchestrate pipelines. We even bring in emerging standards like the Model Context Protocol (MCP), which I believe will become the backbone of AI-native engineering.
The point is not to inspire—it’s to transform how leaders and engineers think, work, and decide. They leave not just with new skills, but with a new operating philosophy.
Q: Looking ahead, what excites you most about AI’s trajectory?
Gunjan Doshi: The real frontier isn’t tools—it’s orchestration. We’re heading toward a world where autonomous agents will understand not just code, but context, business priorities, and user needs.
At InRhythm, our role is to prepare enterprises for that inevitability. With the AI Maturity Index, Studio, Playbook, and Accelerators, we’re giving leaders clarity, speed, and confidence.
What excites me is simple: helping enterprises not just keep pace with AI, but define the future with it.
Closing Thoughts
Gunjan Doshi doesn’t just see AI as an efficiency driver—he sees it as the new architecture of enterprise itself. InRhythm’s frameworks, accelerators, and workshops are arming leaders to embed AI into their DNA—transforming not just how they build, but how they compete.
In an era where most companies are asking how to keep up with AI, Gunjan’s vision is clear: winners won’t adapt to the future—they’ll author it.
