AI systems that
operate at scale
Most organisations don’t fail at AI because of models.
They fail because AI never integrates into real operations.
Systems that run
your business.
Not prototypes. Not slide decks. Production-grade systems connected to your data, integrated with your tools, running from day one.
AI agents that do real work
Agents that answer from your data, process your documents, route your requests, and take action — not generic responses from a chat window.
Workflows that run without you
Approval chains, procurement requests, onboarding flows — automated end to end. The process runs correctly every time, whether you're watching or not.
Products used by real customers
Web and mobile applications built for the scale you're heading toward. SaaS platforms, customer-facing apps, AI-powered product features.
Systems your team can actually operate
Clean architecture, monitoring, documentation. Everything handed over so your team owns it confidently.
Four things we do
exceptionally well.
Each engagement ends with something running in production — not a roadmap and an invoice.
AI Systems
Agents and automation that handle real work — connected to your tools, handling real inputs, running in production.
- Internal knowledge assistants
- Approval & procurement automation
- Customer support agents
- Research & reporting agents
- Document processing pipelines
Digital Infrastructure
Products used by real users at real scale — SaaS platforms, customer-facing apps, AI-powered features that ship on time.
- SaaS platforms
- Customer-facing web apps
- iOS and Android apps
- AI-powered product features
- Internal tools and dashboards
Operational Platforms
Internal systems that replace WhatsApp threads and Excel sheets — procurement, approvals, compliance, with full audit trail.
- Procurement & vendor management
- Approval workflow systems
- Inventory & asset tracking
- Compliance & audit systems
- Contract intelligence
Technical Leadership
Senior engineering leadership embedded in your team — architecture, roadmap, hiring, scaling — without a full-time hire.
- System architecture & review
- Technology roadmap
- Engineering hiring
- Scaling teams & systems
- Investor & board support
Four things that
actually matter.
Not differentiators written for a website. Things that change the outcome of your project.
We ship production systems, not prototypes
Every engagement ends with something running in production. Not a report, not a proof-of-concept. A system that works under real conditions with real data.
We integrate with your existing tools
We don't ask you to replace your stack. We connect to what you already use and build on top of them. No rip and replace.
We stay until it runs
We're done when it's deployed, monitored, and your team can operate it confidently. That's when the engagement ends — not when we've finished writing it.
We don't sell AI — we make it work
No preferred tool or vendor to push. We build what your problem actually requires. No agenda beyond the right outcome.
Start small.
Prove value. Scale from there.
Every engagement leads to something running in production. Scoped clearly upfront.
Map workflows, systems, and the highest-value AI opportunities.
Deploy one production AI workflow connected to real tools.
Turn the validated workflow into a durable product or platform.
Add reliability, leadership, and operating discipline as volume grows.
Sprint
2 weeks · DiscoveryWe map your workflows, systems, and AI opportunities. You leave with a clear, prioritised plan of what to build first and why.
Agent
2–4 weeks · AI deploymentWe design and deploy a production AI agent for one real workflow. Connected to your tools. Handling real work from day one.
Build
8–16 weeks · Full productWe design and ship a complete system or product — built for the scale you're heading toward, not just the scale you're at.
Scale
Monthly · Ongoing leadershipSenior engineering leadership embedded in your team. Architecture, hiring, roadmap, execution.
Three steps.
No fluff in between.
Every project follows the same disciplined process.
Discover
We understand your workflows, systems, and data. Not a surface-level audit — a deep look at what actually runs your business and where the real bottlenecks are.
Build
We design and implement the system. Production-grade from the first line of code. No throwaway prototypes that need to be rebuilt when real load arrives.
Deploy & Scale
We run it in production with monitoring, reliability, and documentation your team can own. We're done when it runs — not when it's written.
Real problems.
Real organisations.
Not companies looking for AI experiments. Organisations that need AI running their operations.
Startups building AI or SaaS products
Seed to Series B- AI features that actually work in production
- Scalable architecture from day one
- CTO advisory for key technical decisions
Companies automating operations
Mid-market and growing- Procurement and workflow automation
- Internal AI agents for operations teams
- Compliance and reporting systems
Institutions and organisations
No in-house engineering team- Admissions and operations systems
- AI education and adoption programs
- Procurement and compliance systems
Teams moving from pilot to production
AI projects that won't ship- Production AI architecture and hardening
- Integration with real systems and data
- Reliability, monitoring, and handover
If any of these sound familiar,
we should talk.
The conversations that usually start a RootOps engagement.
WhatsApp approvals · Excel procurement · Manual filing
Nobody knows what's been approved
Purchase Order #7890
Approved & Synced
Structured approvals · Real-time dashboard
Full audit trail · Compliance monitoring
Too many manual processes slowing down operations
AI stuck in pilot for months with no ship date
Teams can't find information across tools and documents
Systems breaking as the company scales
No visibility in approvals and procurement
Need technical leadership without a full-time CTO
We don't just build AI systems.
We build the capability to use them.
Organisations that understand AI adopt it faster, implement it better, and get more from every system they deploy.
College & University Programs
Practical AI curriculum for engineering and management programs. Taught by someone who has shipped production AI — not just studied it.
- Semester curriculum design
- Faculty training workshops
- Student bootcamps and hackathons
- Industry-aligned project supervision
Corporate AI Training
Practical AI capability building for teams, managers, and leadership — specific to your organisation's tools and adoption goals.
- AI literacy for non-technical teams
- Automation opportunity workshops
- AI adoption roadmap
- Ongoing training retainer
Founder & CTO Cohorts
8-week cohort program to build and ship a production AI system. English-medium, global cohort, led by Rohit Agarwal.
- 8 live weekly sessions
- Build a real AI system during the program
- Maximum 20 participants per cohort
- India and global participants
Education and systems work go together. Many of our deepest client relationships start with an AI workshop — where an organisation sees AI working in their own context for the first time. That understanding becomes the foundation for building real systems together.
We exist to solve
one problem.
RootOps is a technology firm focused on AI systems, product engineering, and operational automation — and the education that helps organisations adopt all of it with confidence.
Founded by Rohit Agarwal, who scaled engineering teams from 40 to 120 people at Partex and shipped AI products from zero to 300,000 users in three weeks. Six years at Innoplexus before that, building AI systems for life sciences at scale.
Companies investing in AI without building the systems to run it.
We build those systems.
And we make sure they work.
We work across India and globally — wherever there is a gap between what AI promises and what it actually delivers.
You've seen the demos.
Now let's build the real thing.
Tell us what's manual, slow, or broken in your operations. We'll tell you what to build next.
No sales pitch. No proposal until we know it's the right fit.