AI transformation, measured in outcomes.
We embed with your team and rebuild one function at a time, until AI shows up in the numbers, not just the pilots.
Ambition isn't the problem. Execution is where it falls apart.
You know where AI is going and don't want to be left behind, but you're lacking the expertise and a clear map from here to production.
No map from ambition to action
You know which functions matter most. What you don't have is a map to the ROI, and where to start rebuilding first.
Point solutions, not a system
Individuals and teams have stitched AI into their day-to-day. Scattered automations don't transform a function, and they're rarely built with the governance or observability an enterprise needs.
Spend you can't yet justify
Licenses are paid for. Model costs keep climbing. And there's still no real way to tell whether any of it is being done the right way.
We lead with outcomes. Everything else follows.
Custom, AI-native workflows built for your business, not off-the-shelf software that does half the job. We embed with your team, rebuild how work happens, and automate entire departments end to end.
Outcome first
We only take on work with a measurable business outcome attached. If we can't name the number and agree what it should become, we don't start.
Built on what you run
No new tools to buy, no multi-quarter migrations. We build inside the systems you already operate.
Embedded, not advisory
We go deep on how work actually happens today, then build how it should happen inside your team, not from a slide deck.
The best, not the most
AI is moving fast, but the right engineers are ten times more productive than the rest. We hire and staff accordingly.
Audit, architecture, roadmap, build. One function at a time.
Each step compounds into the next: the audit sets the north star, the roadmap sequences the work, and every workflow we build makes the next one faster.
Three ways in. Start wherever you are.
You don't need a finished AI strategy to begin. Pick the entry point that matches where your organization actually stands.
Strategy
We run the opportunity audit, set your function's north star, and hand you a prioritized roadmap: the plan your board can actually fund.
Start with strategy ↗Transformation
We embed with your team and build the roadmap ourselves, workflow by workflow, baseline to production, until the function runs AI-native.
Talk to us ↗Training
We teach your engineers and operators how we work, so the muscle stays in-house long after we've moved to the next function.
Talk to us ↗A board-ready roadmap, grounded in how work actually happens
We turn "we should be doing more with AI" into a prioritized, funded plan. It's built from a real audit of your workflows, not a framework off a slide.
A team that rebuilds the function with you, not around it
We embed inside your stack, your process, and your team, and transform the people, process, and product of how the function runs, so your team owns it long after we're gone.
Founded by operators, not advisors.
We've built and run the kind of organizations we now help transform.
Tarun Madiraju
Recently at Ode with Anthropic, working alongside enterprise clients on AI transformation. Previously, Head of Engineering for a $50M ARR business line at LiveRamp.
Pruthvi Narapareddy
Engineering leader who has built and scaled cloud-native, high-throughput systems. Previously Head of Engineering at Vymo. IIT Kharagpur.