Find where the money is leaking. Fix it with AI that pays back.
I put a number on the leak, check whether AI is the right fix, and build it with your team.
15+ years in AI · Managed a $90M+ AI portfolio · Builder of production agents
In my words
ROI with AI is not in the tools. It’s in the right enablement to help you take actions.
Systems built for leaders at
The problem
What a profit leak sounds like.
Profit is leaking out of operations: stock stuck on shelves, forecasts nobody trusts, too many vendors, quality loss, reports built by hand, and revenue leakage and stuck cash in operations.
- “We have stock stuck on shelves.”
- “Nobody trusts the forecast.”
- “We buy the same item from too many vendors.”
- “We find quality loss too late.”
- “Someone builds the same reports by hand every week.”
Revenue leakage and stuck cash in operations: sales lost to stockouts, discounts and prices that leak, returns and rebates, price increases never taken.
The equation
Every business runs on one equation.
Profit = (Revenue − Cost) |Customer satisfaction · Efficiency · Governance
- Revenuesales kept and won
- Costspend and waste
- Customer satisfactionservice and churn
- Efficiencytime and throughput
- Governancecontrol and compliance
AI is worth building only if it moves at least one of these.
The method
A.R.T.: three stages before the build.
Test the use case, check the operating conditions, and put a number on the value: before anyone builds.
Applicability
AI necessity · Method fit
- Evaluate all candidate use cases that could solve the business problem.
- → Keep only those where AI genuinely helps the process.
Readiness
Data sufficiency · Infrastructure fit
- → Only what your real data, systems and owners can support now
Transformation
Profit lever · ROI unit
- → Tied to one lever of the profit equation, with a measurable ROI unit attached.
The few most profitable AI initiatives to start now.
Three ways in
Pick the door that fits.
- For COOs, CFOs and plant headsOps build: Build, Run, ExpandDone for you. We start with a 45-minute diagnostic and a paid AI Audit, then build working use cases such as SKU forecasting and vendor rationalisation.Book a 45-minute diagnostic
- For HR and L&D leads with a COO sponsorCorporate trainingTraining on your company’s own data, with a COO sponsor.₹15,000 per person per day, minimum 10 peopleRequest a training proposal
- For ops, purchase, quality and plant managersAI in Operations for ManagersThe course for ops, purchase, quality and plant managers.See the course
Where it's been applied
~$40M impact through promotion-aware D2C forecasting
Read the full case Automotive100%digital inspection coverageFull-coverage quality inspection at production speed
Read the full case Telecom63%pilot churn reduction63% churn reduction through proactive retention
Read the full case Automotive Sales5xlead conversion uplift5x lead conversion through stage-wise sales intelligence
Read the full caseHow it works
From first call to expansion.
45-minute diagnostic
The audit is booked from this call.
AI Audit (week 1)
On your data: the review, the A.R.T. check, the next steps and the roadmap.
Stop here: keep the readout
Act on the next steps with your team, or come back to build when you’re ready.
Build
A working v1, for example SKU forecasting or vendor rationalisation.
Run
The v1 kept running in your operations.
Expand
What works is taken to the next use case.
Back to Build for the next use case
The background
I'm Jitin Kapila, a mechanical engineer turned Chief AI Officer / CTO and founder of Kriyalytics Solutions. I've spent 15+ years where business strategy, AI and delivery meet — across manufacturing, FMCG, logistics, telecom and automotive.
The companies whose logos appear above are ones I have built systems for. Not advised on with decks. Built for.
I still debug production systems and read the code, and I help translate what the data-science team is actually saying into language a CFO can act on. What I am not: a vendor. I do not sell platforms or take referral fees.
“15% profit margin growth in six months. We'd spent 18 months on dashboards that told us what happened. Jitin shifted us to systems that change what happens next.”
“He doesn't deliver a deck and disappear. He stays until the logic is in the system and the team can run it. That's rare.”
Writing as proof
All writing
Framework
AI Agents vs Workflows vs Automation
Asked for an AI agent after a demo? Many times the work needs an AI workflow, or plain automation. Three questions to ask before you build the wrong one.
Strategy
ECG Style Anomaly Detection in Automotive Quality Control
How ECG-style anomaly detection flagged faulty engines in under 5 seconds each by defining normal, trained on 20 faulty examples from 1.3M historical units.
Business
Who Should Explore AI Tools Inside a Business?
A practical operating rule for assigning AI tool exploration by temperament, not title, so curiosity creates operating memory instead of distraction.
Who is this for?
There are three ways in. Company: COOs, CFOs and plant heads who want working forecasting and inventory use cases built on their own data. Team: HR and L&D leads, with a COO sponsor, who want their people trained on the company’s own data. Manager: ops, purchase, quality and plant managers who want the course AI in Operations for Managers.
How do we start?
With a 45-minute diagnostic. We look at where profit is leaking out of your operations and which of the routes fits. If a paid AI Audit makes sense, it is booked from that call.
What is the AI Audit?
A one-week review on your data: the review, the A.R.T. check, the next steps and the roadmap. It has an exit point, so you can stop after the week.
What does corporate training cost, and what does it cover?
Training is ₹15,000 per person per day, with a minimum of 10 people. It runs on your company’s own data, with a COO sponsor. You can request a proposal from the booking page.
Who is the course for?
AI in Operations for Managers is for ops, purchase, quality and plant managers. The course page has the details.