The problems we know how to solve.
Most consultancies show you a proposal. We show you the problem pattern we have seen before and the system we would build to fix it.
These are real problem patterns, not published client case studies. We are building our first RootOps engagements now. Work with us early →
What we've actually shipped.
Before RootOps, our founder built and scaled production AI systems at Partex and Innoplexus. These are real, verifiable projects.
These are verifiable.Rohit's LinkedIn documents both tenures. MoPilot and Ontosight.ai are public products. We are happy to walk through the architecture decisions in a call.
The problems we see repeatedly.
Organised by who you are. If your problem is here, we have likely already thought through the shape of the solution.
Startups building AI products
AI feature breaks on real user data, inconsistent formats, and edge cases. Every fix creates two new issues.
Knowledge is spread across Notion, Slack, Drive, and internal docs that nobody can search reliably.
LLM spend grows faster than revenue and no one can explain which feature is driving it.
The same tier-one questions keep hitting humans, so the support team cannot focus on complex issues.
What engagements look like.
These are based on repeated problem patterns, not published case studies. They show how the work tends to take shape once the problem is defined properly.
We audit the existing AI layer, rebuild the fragile pieces, add output validation and fallback logic, and deploy with monitoring. The team gets a system it can trust and a clear record of what changed and why.
We map the real process, not the idealized one. Then we build a structured system for request intake, routing, PO generation, and status tracking that non-technical teams can run without friction.
We begin with practical AI training for faculty and leadership, then scope the operational system that is most worth fixing. Education builds trust, and that trust makes the systems work easier to adopt.
We assess the product, the current codebase, and the team. Then we define the architecture, shape the hiring process, support early hires, and prepare the technical narrative for future diligence.
Be one of our first clients.
We are actively working with our first RootOps engagements. Early clients get more direct access, more flexibility in how the work is shaped, and more influence over how the relationship evolves.
Start a conversationRohit stays personally involved in early engagements instead of delegating the work to a junior layer.
Early work can be narrower, more collaborative, and more adaptive to what the problem actually needs.
Early clients shape process, pacing, and delivery patterns in a direct way.
Problem Recognition Matrix
These aren't isolated issues. They are symptoms of systemic constraints. Hover to see how they connect.