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Work with me

One call to find the leak, and the right engagement to fix it.

Just book a call with me and let’s have the conversation and see which tangents it goes to.

The call routes to the right engagement: advisory, fractional, build, or workshop and build.

Book a 45-minute diagnostic

45 minutes · no pitch, no deck

The method

Is AI the fix? A.R.T. decides.

Test the use case, check the operating conditions, and put a number on the value: before anyone builds.

  1. 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.

  2. Readiness

    Data sufficiency · Infrastructure fit

    • → Only what your real data, systems and owners can support now

  3. 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

Which door is yours?

Pick yours to see how it works for you. The way in is still the one call above.

Funded startup?Fractional CTO & Chief AI Officer

Company

Ops build: Build, Run, Expand.

Format
Done for you
Start
45-minute diagnostic, then the AI Audit (one week)
Duration
Build, Run, Expand
Price
Priced on scope, given on the call

What you get

Done for you. For COOs, CFOs, VPs of Operations and plant heads at mid-market plants, FMCG, retail, steel and process companies, and auto suppliers.

It starts with SKU forecasting and vendor rationalisation.

How it runs

  1. 45-minute diagnostic

    The audit is booked from this call.

  2. 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.

  3. Build

    A working v1, for example SKU forecasting or vendor rationalisation.

  4. Run

    The v1 kept running in your operations.

  5. Expand

    What works is taken to the next use case.

    Back to Build for the next use case

45-minute diagnostic, then AI Audit (week 1), then Build, then Run, then Expand. After AI Audit (week 1): You can stop here. Stop here: keep the readout. Act on the next steps with your team, or come back to build when you’re ready. Back to Build for the next use case.

Samples

What a deliverable looks like.

Illustrative samples on a fictional scenario. They are not client deliverables or results.

AI roadmap — four-quarter excerpt

Illustrative sample · fictional scenario

AI roadmap — four-quarter excerpt

An illustrative sequence for a fictional replenishment problem. Quarters are planning stages, not a delivery commitment.

Q1 · Establish the operating baseline

Planning and data teams reconcile demand, stock and lead times. Record current service levels, inventory exposure and exceptions. Finance validates the value model. Gate: reliable records and agreed measures before pilot approval.

Q2 · Run a controlled pilot

Benchmark a forecast against the existing reorder rule in one category. Planners approve proposed orders and log overrides. Gate: improvement against the baseline, manageable exceptions and no unacceptable service decline.

Q3 · Roll out where the evidence supports it

Expand only to categories that pass the pilot gate. Operations owns review, fallback and incident handling. Data teams monitor input quality and forecast drift. Gate: approved ownership, support and rollback procedures.

Q4 · Review value and reset priorities

Finance and Operations compare realised outcomes with the original assumptions. Recalibrate models and review planner adoption. Stop or revise work that does not improve decisions. Gate: evidence determines the next investment.

Jitin Kapila · jitinkapila.com · Illustrative sample, not a client deliverable.

Download the illustrative PDF

ROI worksheet — capacity-value example

Illustrative sample · fictional scenario

ROI worksheet — capacity-value example

All amounts and operating assumptions below are fictional. Released staff capacity becomes financial value only if it is productively reassigned or reduces actual expenditure.

State the assumptions

Manual review: 100 hours/month. Loaded labour rate: $40/hour. Implementation: $6,000. Ongoing operation: $400/month. Base case: release and productively reuse 40% of review time. Downside: 20%. These are modelling inputs, not observed outcomes.

Base case · 40% of review time

40 hours × $40 = $1,600/month capacity value. After $400/month operating cost, net modelled value is $1,200/month. Conditional payback: $6,000 ÷ $1,200 = 5 months. First-year net value: 12 × $1,200 − $6,000 = $8,400; return on the upfront investment: 140%.

Downside · 20% of review time

20 hours × $40 = $800/month capacity value. Net modelled value: $400/month. Conditional payback: 15 months. First-year net value: −$1,200; return on the upfront investment: −20%. If released time is not used productively, exclude its value from the financial case.

Validate before investment

The operational owner measures review time and whether released capacity is used. Finance verifies the labour rate, full costs and any cash benefit. Include error handling, integration and adoption costs in the final model. Approve a pilot only after agreeing a measurable baseline and a review gate.

Jitin Kapila · jitinkapila.com · Illustrative sample, not a client deliverable.

Download the illustrative PDF

Questions

Questions about the Ops build.

Not answered here?Book a 45-minute diagnostic

What is the AI Audit, and can I stop after it?

AI audit for operations: one week, on your data, remote-first. You get a review of your current AI, data and system maturity for the decision in scope, a check of whether AI is the fix at all, the next best steps and a roadmap for growth and savings. You can stop here: after the readout there is no obligation to build, and the readout is yours. It is priced on scope and the price is given on the call.

What are the stages of an Ops build?

Build, Run, Expand. Build is a working v1, for example SKU forecasting or vendor rationalisation. Run keeps the v1 running in your operations. Expand takes what works to the next use case. It is done for you, and it starts with the diagnostic and the AI Audit.

Who is the Ops build for?

COOs, CFOs, VPs of Operations and plant heads at mid-market plants, FMCG, retail, steel and process companies, and auto suppliers. It is done for you, and it starts with SKU forecasting and vendor rationalisation.

What does an Ops build cost?

It is priced on scope, and the price is given on the call. The first step is a 45-minute diagnostic; if an AI Audit fits, it follows as one week on your data, and you can stop after the readout.

How do I start?

Book a 45-minute diagnostic. The call routes you to the right engagement: advisory, fractional, build, or workshop and build.

What is the 45-minute diagnostic?

A 45-minute call with me. No pitch, no deck. We talk through the problem and see which tangents it goes to, and the call routes you to the right engagement. If an AI Audit fits, it is booked from this call.

Team

Corporate training.

Format
On your company’s own data, with a COO sponsor
Start
Request a proposal
Duration
1, 3 or 5 days
Price
₹15,000 per person per day, minimum 10 people

What you get

For HR and L&D leads with a COO sponsor. Training on your company’s own data, in 1, 3 or 5-day formats.

How it runs

Every programme is customised. The outline runs in three layers:

  1. AI for self
  2. AI for business
  3. AI for future

Questions

Questions about corporate training.

Not answered here?Request a training proposal

How does corporate training work, and what does it cost?

Training runs on your company’s own data, with a COO sponsor, in 1, 3 or 5-day formats. It is always customised, in three layers: AI for self, AI for business and AI for future. The price is ₹15,000 per person per day, minimum 10 people. Request a proposal to start.

Is the training generic?

No. Every programme is customised and runs on your company’s own data, with a COO sponsor. The outline runs in three layers: AI for self, AI for business and AI for future.

How many people do we need, and how long is it?

The price is ₹15,000 per person per day, minimum 10 people. Formats are 1, 3 or 5 days. Request a proposal and it is customised to your team.

Who should ask for the proposal?

HR and L&D leads, with a COO sponsor. Request a training proposal and it is built around your company’s own data.

How do I start?

Book a 45-minute diagnostic. The call routes you to the right engagement: advisory, fractional, build, or workshop and build.

What is the 45-minute diagnostic?

A 45-minute call with me. No pitch, no deck. We talk through the problem and see which tangents it goes to, and the call routes you to the right engagement. If an AI Audit fits, it is booked from this call.

Manager

AI in Operations for Managers

Format
The course AI in Operations for Managers
Start
See the course
Price
On the course page

What you get

For ops, purchase, quality and plant managers.

You leave with a ranked use case list, an ROI formula anchored to your P&L, and a board-ready investment memo.

How it runs

The path: start with a free tool, move to an entry kit, then the course, then a call with me.

Questions

Questions about the course.

Not answered here?See the course

Who is the course for?

AI in Operations for Managers is for ops, purchase, quality and plant managers. You leave with a ranked use case list, an ROI formula anchored to your P&L, and a board-ready investment memo. Details are on the course page.

What do I leave the course with?

You leave with a ranked use case list, an ROI formula anchored to your P&L, and a board-ready investment memo.

How do I get from here to the course?

The path: start with a free tool, move to an entry kit, then the course, then a call with me.

What does the course cost?

The price is on the course page.

How do I start?

Book a 45-minute diagnostic. The call routes you to the right engagement: advisory, fractional, build, or workshop and build.

What is the 45-minute diagnostic?

A 45-minute call with me. No pitch, no deck. We talk through the problem and see which tangents it goes to, and the call routes you to the right engagement. If an AI Audit fits, it is booked from this call.

Fractional

Fractional CTO & Chief AI Officer

Format
Advisory first; build can follow
Start
45-minute call
Cadence
About 3 to 4 hours a week; 90-day review
Price
Set after the first call and a written scope

What you get

I work with funded startups that are not AI-native.

I take on technology depth, AI thinking, digital transformation. Cybersecurity is available as an add-on only. It is not part of the core offer.

We start with advisory. About 3 to 4 hours a week. Advice only to begin with. When the first decisions need building, build can follow.

How it runs

How it runs: 45-minute call, then written scope, then weekly call, then 90-day review.

More on the fractional role

Questions

Questions about the fractional role.

Not answered here?Book a 45-minute diagnostic

Who is the fractional role for?

Funded startups that are not AI-native, with decisions waiting on a technical lead they have not hired yet. It starts with advisory, about 3 to 4 hours a week; build can follow. Cybersecurity is available as an add-on only. Pricing is set after the first call and a written scope; there is no public rate card.

What do you take on as a fractional CTO and Chief AI Officer?

Technology depth, AI thinking and digital transformation. Cybersecurity is available as an add-on only; it is not part of the core offer.

How does an engagement run?

A 45-minute call, a written scope, a weekly call and a 90-day review. Advisory runs about 3 to 4 hours a week; build can follow when the first decisions need building.

How do we know it is a fit?

The first call is a two-way depth test: do I complete what you already have, or duplicate it? The cost is set after that call and a written scope.

How do I start?

Book a 45-minute diagnostic. The call routes you to the right engagement: advisory, fractional, build, or workshop and build.

What is the 45-minute diagnostic?

A 45-minute call with me. No pitch, no deck. We talk through the problem and see which tangents it goes to, and the call routes you to the right engagement. If an AI Audit fits, it is booked from this call.

Proof

Documented results.

What people say

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.”
VP OperationsZespri
Jitin played a pivotal role not only in experimenting with and developing the AI-driven forecasting solution but also in serving as an AI coach for end users, helping them understand and trust the forecasts produced by the model(s).”
Nikhil JainHead of Tech Accelerator & AI InnovationClient