We’re not there for weekly status calls. We sit inside your team, work on your problems, and stay until the solution is running. The people shaping the strategy are the same people shipping the solution to prevent dilution between what was planned and what gets built.
Ready to unlock the value of your data and AI?
Every organization is at a different stage of its data journey. Whether you’re building stronger foundations, scaling AI, or looking to turn data into a business advantage, we can help you find the right path forward.

Anand Swamy
Co-Founder & Co-CEO

Poornima Ramaswamy
Co-Founder & Co-CEO
Method elements that produce this outcome
We start by finding where your team’s time is actually being lost. Then we build around the work that matters most, so AI moves from an experiment to something your finance team uses every day.
An Embedded Partner
Two Parallel Tracks
Strategy and execution run simultaneously for the full ten weeks with no handoff in the middle. Track A handles the technical build while Track B handles business framing, change management, and adoption. They meet during with weekly checkpoints so both teams are progressing together. That ensures the strategy is still relevant when the solution ships.
Production-grade prototyping
MVPs are designed for production from week one, with governance and observability built in from the start. We don’t build a demo and then figure out how to productionize it. The first MVP is the first version of the real thing.
Pilots that became operating procedure.
PivotX has taken companies from initial assessment to production-grade AI in weeks, not quarters. The cases below aren’t proofs of concept. They’re actual production.