Every business was designed for a world without AI.We redesign them.

We identify expensive, repetitive or revenue-leaking workflows — and redesign them using AI, automation and software.

30 minutes, freeNo preparation deck requiredYou leave with the process map

Clients

  • The Art of Living
  • Fortune Inn Sree Kanya
  • Forwood Safety
  • Nexlete
  • Peepily Play
  • Shri Mahalakshmi Interiors

Where businesses call us

You don’t need an AI brief. You need one process that isn’t working.

  • Our team spends hours moving information between systems.Integration and intelligent automation
  • We know AI matters, but not where to start.Business Discovery
  • The process works, but it will not scale.Agentic workflow, or a custom platform
  • We have a lot of data and can't actually use it.An intelligence layer over what exists
  • Our software is holding the business back.Modernisation, not rip-and-replace
  • Approvals take longer than the work they authorise.Process redesign with human gates

Why most AI projects stall

The technology works. The way it gets adopted usually doesn’t.

42%

abandoned most of their AI initiatives before production — up from 17% a year earlier

S&P Global, 2025

60%

report little or no material value from AI

BCG, 2026

37%

see any enterprise-level impact on EBIT

McKinsey State of AI, 2026

And yet

40%

increase in sales across Verizon's 28,000-person customer-service team

Reuters, 2025

10–20%

productivity gain in software development, across 60,000+ technologists

JPMorganChase Annual Report, 2024

What separates them

Nearly 75% of AI high performers fundamentally redesigned their workflows. Only 25% of everyone else did.

McKinsey, 2026

AI is not the differentiator. Putting it in the right workflow — and connecting that workflow to revenue, cost or risk — is. That is the entire reason we start with the business and not the model.

How to engage us

Four ways to work with us. Start with one.

Most engagements begin with a Sprint and go one of three ways from there. Every one is scoped and priced before it starts — and the first conversation is free.

AI Opportunity Sprint

We go looking for the workflows that cost you most — in time, in error, in revenue that leaks. You leave with them ranked, the return modelled, and a build-or-leave-it call on each one.

  • A ranked list, not a list of ideas
  • The roadmap, and what it is worth

Underneath these sit agents, intelligent business systems, custom software and the integrations between them. Which you need is what the Sprint decides.

Selected work

What this looks like in the real world.

Safety-critical enterprise software

Forwood Safety

A safety platform used by industrial operators, where a control that is missed is not a support ticket.

Problem
Complex enterprise workflows spread across ageing web and mobile systems.
What we built
Workflows redesigned and the platform modernised across a web and mobile architecture.
  • Web and mobile
  • Enterprise workflow redesign
  • Platform modernisation, not replacement
  • Safety-critical operating context

Consumer brand

Peepily Play

A consumer play brand growing faster than the systems that were meant to be running it.

Problem
A growing commerce business outrunning the systems behind it.
What we built
Commerce platform and the business systems around it, built for the next stage of growth.
  • Commerce platform
  • Surrounding business systems
  • Built for the next growth stage

Both engagements are covered in more detail on a call. Ask us about either one.

In the room

We spend the engagement inside your operation, not in a boardroom.

Watching how work actually moves, where it stalls, and what that costs. Nothing gets designed before this.

We will tell you when the answer is a spreadsheet.

How we build

Three things we decide before we build anything.

Your data stays yours

A model inside your environment masks the identifying values first. The hosted model gets a pattern, never a record.

A person on every gate that matters

Anything that moves money or leaves the building is proposed by the system and approved by a person — agreed in writing before launch.

Cost engineered from day one

Most work should never reach a frontier model. What a system costs at volume is an architecture decision, not a line item you discover six months in.

Data path — one requestYOUR ENVIRONMENTHOSTED MODELYour recordsLocal modelmask · extract patternBEFOREAcme Ltd₹4,82,000AFTER[CLIENT_01][AMOUNT]Frontier modelreasons on the patternanswer re-attached to your data, locally
What crosses the boundary, and what does not. The answer comes back and is re-attached locally.

AI economics

AI should scale your business, not your inference bill.

Most of the work should never reach a frontier model. What a system costs to run is an architecture decision, not a line item you discover six months in.

01 / 05

Route before you spend

A small model handles the routine. The expensive one is reserved for work that needs it.

02 / 05

Generate the pattern once

Derive the rule from a sample, then apply it deterministically. One inference, not fifty thousand.

03 / 05

Cache what repeats

The same twenty questions, asked all day, answered once.

04 / 05

Retrieve, don't resend

Pull the passages that bear on the question, not the whole document, every call.

05 / 05

Bound every loop

A step and spend limit per task. A run that cannot converge escalates instead of billing.

Click a lever

What you are actually buying

Nobody wants consulting. Everybody wants clarity.

A decision document, not a deck. If the honest conclusion is that you should not build anything yet, that is what it will say.

Founder

Built by an architect.

Santosh Subbarao · Founder

  • Fifteen years building enterprise technology
  • Enterprise architecture and complex platform modernisation
  • Systems running across organisations and markets

“The technology was never the problem. It got installed on top of organisations designed for a different era.”

Questions

The things people ask first.

Do we need to know what AI solution we want?

No. Most people arrive with an operational bottleneck, or a board asking about AI. Discovery works out what should be solved — and whether the answer is AI at all.

How do we start, and what does it cost?

Three ways, at three weights. A 30-minute workflow mapping call is free. An AI Opportunity Sprint runs five to ten working days. Enterprise discovery runs three to six weeks when the workflows are connected across functions. The two paid engagements are scoped and priced before either starts — no open-ended retainers.

Are your agents fully autonomous?

Not by default. Permissions, approvals and escalation rules are designed in and agreed in writing before anything goes live.

Which offer do we need?

Almost always the Sprint first. It is the cheapest way to find out whether the rest is worth doing, and it ends in a ranked list you own regardless of who builds from it.

When are you the wrong choice?

Simple, commodity automation. If an off-the-shelf product fits your process, it will be cheaper and faster than we will — and we will say so.

Tell us what’s slow, repetitive, or harder than it should be.

You don’t need an AI brief. Bring one process that doesn’t scale. In 30 minutes we’ll map it with you and say honestly whether intelligence is the answer.

The fastest way

Pick a time

  • 30 minutes, no charge
  • No preparation deck required
  • You keep the process map
  • We'll say no if the answer is no

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