For operators who are done funding AI experiments

AI That Earns.

We build and run one operational system per business — tied to a revenue, cost, or risk number you agree before we start. Our flagship live system has processed 455 bookings with zero cancellations in 46 days. The case study below shows what it now drives.

Take the 2-minute diagnostic Book a 30-minute scoping call

Founder-led · Coimbatore-based · 1 system live in production · 1 in active build

Live in production

FOR

Owner-led, ops-heavy businesses in India

  • Car wash chains, clinics, dental groups, salons, gyms, small manufacturing, MSME service firms, multi-location retail
  • ₹2–25 Cr annual revenue, profitable or close to it
  • The owner is in the business daily — not in board meetings
  • Already paying for 3+ disconnected tools (Tally, WhatsApp, Excel, a CRM nobody uses)
  • One operational metric is visibly broken — bookings, follow-ups, collections, scheduling, or month-end visibility
NOT FOR

Where we’ll politely decline

  • VC-backed startups looking for a fractional CTO or AI co-founder
  • Enterprises that need a 30-page RFP and a procurement cycle
  • Buyers who want a strategy deck without a system at the end of it
  • Anyone shopping for “an AI transformation” without a specific number to move

The number we agree to move is yours, not ours. Bookings per shift, revenue per bay, follow-up rate, time-to-quote, or month-end visibility — we work backwards from what you can already feel slipping.

SOUND FAMILIAR?

Where operations usually break

Most businesses do not have an AI problem. They have an execution problem: key work lives in spreadsheets, follow-ups depend on memory, and decisions arrive after the month is already gone.

1 / 5
01

My team spends 3 hours every morning updating spreadsheets before they start actual work

OUTCOME

The spreadsheet goes away. You see the number live, and your team gets the morning back to do real work.

02

We miss follow-ups because nobody has a system — it all depends on who remembers

OUTCOME

Follow-ups built into the workflow — triggered, logged, and chased without anyone having to remember.

03

Every tool we've tried was abandoned in 3 weeks. Nobody set it up properly.

OUTCOME

We don't hand over a tool. We run it with you until adoption holds — fixed checkpoints, named owner on both sides.

04

WhatsApp, Tally, Excel, email — nothing talks to anything

OUTCOME

We connect the two or three tools that actually matter to your metric — not all of them. One view, live, instead of five disconnected screens.

05

My accountant gives me the P&L 3 weeks after month end. By then it's useless.

OUTCOME

An operational P&L weekly — revenue, cost, exceptions — pulled from the systems already running your business. You stop waiting for month-end.

PredictaOps fixes these by tying one workflow to one measurable business result first — then expanding only after it proves itself.
SOUND FAMILIAR?

Where operations usually break

Most businesses do not have an AI problem. They have an execution problem: key work lives in spreadsheets, follow-ups depend on memory, and decisions arrive after the month is already gone.

01

My team spends 3 hours every morning updating spreadsheets before they start actual work

The spreadsheet goes away. You see the number live, and your team gets the morning back to do real work.
02

We miss follow-ups because nobody has a system — it all depends on who remembers

Follow-ups built into the workflow — triggered, logged, and chased without anyone having to remember.
03

Every tool we've tried was abandoned in 3 weeks. Nobody set it up properly.

We don't hand over a tool. We run it with you until adoption holds — fixed checkpoints, named owner on both sides.
04

WhatsApp, Tally, Excel, email — nothing talks to anything

We connect the two or three tools that actually matter to your metric — not all of them. One view, live.
05

My accountant gives me the P&L 3 weeks after month end. By then it's useless.

An operational P&L weekly — revenue, cost, exceptions — pulled live from the systems running your business.
PredictaOps fixes these by tying one workflow to one measurable business result first — then expanding only after it proves itself.
HOW WE WORK

Scope. Build. Run. Same team.

Week 1. We pick one number worth moving — bookings per shift, follow-up rate, collection days, time-to-quote — and the named owner on your side. If it can’t be measured, we don’t fund it.

  • One agreed metric, written down, with a kill criterion
  • Named owner on both sides — not a steering committee

Weeks 2–8. We ship a thin working version against the one number. You see real software early — not a demo, the system. We integrate with the two or three tools already running your business.

  • Tally, WhatsApp, Stripe/Razorpay, Sheets, your CRM — whichever ones touch the metric
  • Working demo at the end of each fortnight, against real data

Month 3+. Monthly retainer to keep it working. Weekly KPI review tied to the one metric. Direct line to the person who built it — not a ticket queue. After 90 days you should know what’s live, what it moved, and whether to expand it.

  • Fixes, adoption checks, and tuning when reality drifts
  • A rollback plan and a named owner if anything breaks
CASE STUDIES

Proof in production —
not in pitch decks.

One live system in market. One in active build. Same team from scope through run.

Automotive · India ● Live — operating in Coimbatore since 12 April 2026

PRISTINE AACF

PRISTINE is Coimbatore's automated touchless car wash. We built the operating system behind it: bookings, confirmations, payments, peak-demand visibility, upsell logic in the booking flow, and the membership engine. The system doesn't just run ops — it drives the revenue mix. Two out of three customers now buy an upsell, because the booking flow asks. Not the staff.

455 Bookings processed
₹3.59L Revenue in 46 days
68% Customers buy an upsell
0 Cancellations or no-shows
  • The booking flow does the upselling. 304 of 448 completed washes (68%) added a paid extra. Ceramic shampoo alone attaches at 36% (161 customers). No staff prompt, no scripted pitch — the flow asks at the right moment, in the right tier.
  • ₹803 average spend per visit. Large vehicles average ₹1,101. The system surfaces the right tier automatically based on vehicle type — premium customers see premium options, not the base wash.
  • 455 bookings, zero cancellations. Scheduling, payment reconciliation, and automated reminders have held a 100% completion rate across 46 days and three payment rails (UPI, cash, online).
  • Demand has spread, not concentrated. 6–8 PM is still peak (~33% of bookings) but 11 AM–1 PM has emerged as a clear secondary peak. The dashboard tells the operator how to staff and prep chemicals against actual demand, not gut feel.
  • The data layer is the operating story. Every booking, every payment, every addon is queryable. Today's ARPU, today's attach rate, today's vehicle mix — one screen, live. That same data is what made this case study possible — and what'll trigger the membership launch when the repeat-rate signal is strong enough.

PRISTINE AACF has been live in Coimbatore since 12 April 2026. In its first 46 days, the system processed 455 bookings, generated ₹3,59,546 in revenue, and held a 100% completion rate. The headline isn't the volume — it's that 68% of customers buy more than the base wash and 36% attach the ceramic upgrade, entirely through the booking flow. The operator runs the business off one dashboard. The membership engine is built into the platform and will activate once the repeat-customer signal is strong enough to convert against.

What the live system drives — first 46 days

MetricValue
Average spend per visit (ARPU)₹803
Customers buying any upsell68% (304 of 448)
Ceramic shampoo attach rate36% (161 of 448)
Peak window — 6–8 PM share33% of bookings
Cancellations / no-shows0 across 455 bookings
Legal Tech · India ● In active build

LexKit

AI-assisted workflow tooling for MSMEs — replacing manual document handling and follow-up loops.

Currently in active build. Case study will publish after 90 days in production — once there are real numbers to report, not launch-week claims.

WHAT WE DO

Two ways to start. That's it.

Every engagement begins with one business problem and one agreed metric. We don't sell categories — we sell movement on one number.

Most clients start with the Audit. It tells you exactly what to fund — and what to kill — before you hire engineers or sign a build.

AI Readiness Audit

Know what to fund — and what to kill — before you hire engineers or sign a build

Includes

  • A short interview with you and one operator on your team
  • A ranked list of the 3 things worth fixing first, with rupee or hour estimates against each
  • A 90-day plan — what to do, what to skip, what to kill
  • One readout call. No slide theatre. If we don't see a real problem, we'll tell you.
Book the Audit →

Build & Run

One operational system. One agreed metric. Shipped in 6–10 weeks, then maintained monthly. Same team end to end.

Includes — whatever moves the metric

  • Workflow automation, operator dashboards, or AI workflows (RAG, document parsing, internal chat) — chosen by the metric, not the catalogue
  • Integrations with the two or three tools already running your business — Tally, WhatsApp, Stripe/Razorpay, Sheets, your CRM
  • Monthly retainer: fixes, adoption checks, model and prompt tuning when reality drifts
  • Named owner on both sides, weekly KPI review tied to the one agreed metric
Book a scoping call →

Every engagement is scoped to one agreed business metric before any work begins. Pricing shared once the problem and scope are clear — not before.

BOUNDARIES

What we don’t do

A boutique earns its credibility by what it refuses, not by what it adds. Here’s where we’ll send you somewhere else.

No enterprise RFPs. If procurement needs a 30-page response and a vendor onboarding portal, we’re not the right fit.

No pure strategy decks. We don’t deliver advice without a system at the end of it. The Audit is the only stand-alone document we sell.

No work outside one agreed metric. Every engagement has one number and a clear kill criterion. We’ll turn down scope creep, including from ourselves.

No account-manager handoffs. The person scoping is the person building is the person on WhatsApp at 9 PM if something breaks.

No open-ended “AI retainer” subscriptions. Retainers exist to run a defined live system — not to fund a permanent monthly idea pipeline.

No work we can’t prove. If we haven’t solved something close to your problem, we’ll tell you and point you at someone who has.

FREE · 2 MINUTES

Not sure where to start? Take the 2-minute diagnostic.

Five quick questions. Tells you whether your bottleneck is data, process discipline, tooling, or execution — and what to fund first. Free. No email required to begin. The paid Audit (in services above) is the next step if the diagnostic shows it's worth one.

1 of 5

How is your business currently using data?

How many hours per week does your team spend on repetitive manual tasks?

How would you describe your team's familiarity with AI tools?

What is the biggest blocker stopping you from using AI right now?

What's your primary AI goal for the next 6 months?

No email required to begin. Book a call only if the fit is obvious.

WHY US

Built for operators, not deck builders

We ship what we recommend

I operate PRISTINE myself. The systems on this page are ones I’d put my own cash behind — because I have.

One backlog, one owner

No “strategy firm” walks away before the code ships. The person scoping is the person on WhatsApp when it breaks.

Adoption is the result, not deployment

A system nobody uses is not a system. We track whether your team’s workflow actually changed — not whether the software went live.

FAQ

Questions before the call

Do you replace our internal engineering or data team?

No — we augment them. We own delivery end-to-end for the systems we ship, hand over repos and docs, and pair with your people so the stack is yours.

How fast do we see something real?

You should see a working slice as soon as access and scope allow — often within the first build phase. The first call is about picking one metric and the smallest honest demo that proves it.

What do you need from us to start?

A sponsor who can say "no" to shiny ideas, read access to the workflows and data that touch the metric, and a few hours a week from someone who knows how work really gets done.

How does pricing work?

Scoped phases (discover / build / operate) with clear deliverables — not open-ended "AI retainers." We align fees to the business outcome we agreed up front.

What if we are not ready for AI yet?

Then we start with automation, data plumbing, or dashboards — whatever unblocks the metric. The audit above helps tell you whether AI is the right bet or a distraction.

Founder-led by design

Direct line to the person who ships and supports your stack.

Guhan — Founder, PredictaOps

Guhan

Founder, PredictaOps · Coimbatore

I run PredictaOps and I also operate PRISTINE AACF — the flagship live system on this page. That means the recommendations on this site are the ones I'd put my own cash behind, because I do.

You work with me directly: scope, build, and support. No account manager. No handoff. If the system breaks at 9 PM, you message me.

View LinkedIn profile → WhatsApp me directly