The AI Profit OS


Stop Learning Tools. Start Architecting Strategy.

The only 3-day implementation sprint for Non-Technical Executives who need to move from “AI Hype” to “Measurable ROI.”


Next Cohort: February 19-21, 2026

Format: Live Virtual (7 - 10 PM IST)

Enterprises Consulted
Mercedes Benz
L'Oréal
Maruti Suzuki
British Telecom
Harman
Zespri
Betsson
ALJ
Zeta
Dish
Mercedes Benz
L'Oréal
Maruti Suzuki
British Telecom
Harman
Zespri
Betsson
ALJ
Zeta
Dish

The Literacy Gap


Why Most AI Education Fails the Boardroom ?


You have become dependent on external proxies —
either overpriced consultants or academic courses that ignore your P&L.


You want to learn but, AI education is currently
misaligned with executive requirements.

And I say that with full responsibility!


You don’t need another course on
ChatGPT prompts. You are not a prompt engineer.


Neither you need to go full academic
to learn how to implement them from scratch.


Prompts don’t fix P&L problems.
Academics won’t tell which model to use.


LLMs won’t predict your sales number,
neither optimize your inventory.


They are very good in giving option.
But do you know how to rank those options?


You need a decision-making system.


You need to know:

  1. Which problems in my business or job actually need AI?
  2. How do I map a solution without hiring a costly consultants or DS army?
  3. How do I prove the ROI to my CFO before we start?


That is why I built
The AI Profit OS.



What Will you learn

In 3 days, you won’t just “learn” AI. You will build the architectural blueprint for your organization.


Day 1: The Architectural Audit (The A.R.T. System)

Stop chasing fads. Start diagnosing friction.

On Day 1, we strip away the hype and apply the physics of business to your AI strategy. We use the A.R.T. (Applicability, Readiness, Transformation) matrix to audit your current “Innovation Theater.”

  • The Applicability Filter: We determine if your problem is a “Plier” problem (GenAI) or a “Foundation” problem (Predictive / Optimization and others). You will learn to identify the Logic Leaks in your P&L that AI is actually qualified to fix.
  • The Readiness Audit: A clinical evaluation of your Data Adequacy. We audit your environment to see if your verticals are ready for deployment or if you are simply building on sand.
  • The Transformation Map: Identifying the three “Pillars” of your specific solution. We move from vague goals like “Efficiency” to specific Structural Shifts in your operations.

Outcome: Stop guessing. Audit your business problem for Applicability, Readiness, and Transformation. Leave with a prioritized list of high-value use cases.


Day 2: The Logic Design (The O.L.C.D. Framework)

Map the solution. Remove the magic.

Day 2 is where we build the \("f(x)"\) of your business. We apply the O.L.C.D. (Objective, Learner, Controller, Diagnostic) framework, the same system I’ve used to lead $80M+ portfolios.

  • Objective Engineering: Defining the hard ‘Y’. We move past “Better Productivity” to Deterministic Business Goals (e.g., Reducing SKU-level forecasting error by 15%).
  • Learner Selection: Choosing the right “Brain” for the task. You’ll learn the 70/30 Rule of Enterprise AI, why 70% of your value comes from “Old School” math, not just LLMs.
  • The Controller Logic: Designing the guardrails and designing the edge cases. We architect the safety protocols and limit systems required to move from “Cool Demo” to Safe Operations.
  • The Diagnostic Suite: Building the metrics that matter. You will design the Go-To-Metrics that will allow you to monitor the health of your AI system without needing to read a single line of code.

Outcome: Move from ‘Vague Requirements’ to ‘Deterministic Logic.’ Leave Day 2 with an Architectural Schematic that your technical teams can actually build without guesswork.


Day 3: The Value (ROI Grid Mapping)

Quantify the value. Secure the buy-in.

Day 3 is about the Economics of Innovation. You will learn to translate technical metrics into Boardroom Language. We marry your “Pillars” from Day 1 with your “Diagnostics” from Day 2 to create a defensible ROI model.

  • The Before/After Scenario: Mapping the Physics of Change. You will build a side-by-side comparison of your current “Manual Friction” vs. your new “Architected Synchrony.”
  • The Value Matrix: Quantifying the unquantifiable. We will calculate the Time Saved, Costs Reduced, and Risks Mitigated. You leave with a hard-number projection for your CFO.
  • The 30-90 Day Execution Roadmap: The final asset. You will build a visual timeline that answers the only three questions that matter to your team: Who does what by when?

Outcome: Quantify the impact. Build a “Before/After” model that calculates cost reduction and risk mitigation. This is the document your leadership actually wants to see.



The Deterministic ROI Engine

A specialized system to calculate the physics or links of your business improvement.

  1. The Framework Repository: Repeatable strategy documents for auditing any future opportunity.
  2. The 30-90 Day Deployment Roadmap: A visual execution timeline you can hand to your team immediately.
  3. The ROI Decision Tracker: An Excel-based system to track baseline performance vs. AI-driven improvement.


And Here’s What’s Included:

The Live Experience:

  • 3 consecutive evening sessions (7 - 10 PM IST February 19-21, 2026)
  • Live instruction, group breakouts, live Q&A
  • Access to recordings for 2 weeks post-cohort (lifetime access available if preferred)

Your Assets (You Take These With You):

  • Ready-to-use Prompt Library (50+ prompts for AI problem evaluation)
  • Strategy Framework Worksheets (AI ART matrix, O.L.C.D, ROI templates)
  • Live Excel Tracker (ROI measurement sheet + use case roadmap template)
  • Diagnostic Playbook (step-by-step decision framework)

Ongoing Access:

  • Private Community (ask me questions anytime; get peer feedback)
  • 2x/month Group Sessions (forever) – Check in on your progress, get clarity, refine strategy
  • Email Support (direct access for challenges you hit during implementation)
  • Newsletter Subscription (stay updated on AI trends, new use cases, framework updates)


You’re not buying a course. You’re buying a thinking system + ongoing access to me for the next 90 days (and 2x/month after that).


Who this course is for?

Not everyone is going to be a right fit for AI Profit OS.

For senior professionals who are:

✅ Are a VP, C-suite executive, department head, founder or a leader
✅ Manage teams or portfolios with real P&L responsibility
✅ Have 10+ years of professional experience (you’ve seen fads come and go)
✅ Know AI is a competitive advantage, but you’re unsure what to implement or how
✅ Are confident as a strategist, but feel lost on AI specifically
✅ Want to lead with AI without becoming a data scientist

Skip this cohort if you:

❌ Are new to your field (less than 5 years experience)
❌ Want to learn how to code or prompt-engineer
❌ Expect AI to do 100% of your job without you learning anything
❌ Are looking for quick wins or “side hustle” income
❌ Won’t invest 2–3 hours/week for 30 days after the cohort
❌ Want theory and certifications instead of practical operational systems



The “Unheard Of” Guarantee


My Reputation Is Built On ROI. Not Views


I am not an influencer. I am an engineer. If the system doesn’t work, I don’t want your money.

The Performance Guarantee: If you complete the cohort live and follow the system, and even after 30 days you haven’t:

  1. Mapped at least one viable AI use case with clear ROI (before/after scenario modeled), AND
  2. Created a 30 – 90 day roadmap you can hand to your team or leadership,

I will refund 100% of your money. AND I will pay you 10% extra for your wasted time within 7-10 Days. No question asked.


READY TO ARCHITECT YOUR AI STRATEGY?

In 3 days, you’ll know:


→ Which AI opportunities matter in your business
→ How to evaluate them rigorously
→ What the ROI actually looks like
→ Who should own execution
→ How to present it to leadership


In 30–90 days, your team will ship the first one.

No consultant. No waiting. No confusion.

February 19-21, 2026. Limited to 50 leaders per cohort.


Next cohort: ₹42,978. Invest early.


Frequently Asked Questions

No. This cohort is designed for senior business leaders. You won’t write code. You’ll use structured worksheets and simple tools (Google Sheets and Docs) to evaluate use cases, map feasibility, and quantify ROI.
Yes. The content assumes business fluency, not engineering fluency. If you can run a team, manage stakeholders, and think in trade-offs and ROI, you can apply the frameworks.
Yes, AI knowledge is not a prerequisite. The cohort is built for leaders with 10+ years of experience who understand their business context. You’ll learn how to make AI decisions, not memorize AI terminology.
No. Tools may be discussed as options, but the core is a decision system: (1) which problems actually need AI, (2) what the simplest feasible approach is, and (3) how to model ROI before execution. We’ll use ChatGPT / Gemini / Claude / your favorite LLMs to assist us to frame strategy right.
The frameworks are industry-agnostic because they’re based on problem patterns (cost, time, quality, risk, revenue). The outputs are customized to your role, workflow, and constraints.
Three tangible outputs: (1) a ranked shortlist of AI use cases, (2) a 30–90 day execution roadmap with owners and dependencies, and (3) a before/after ROI model you can take to leadership / CFO.
Plan ~2–3 hours/week for ~30 days to complete the worksheets, validate assumptions with your team, and finalize your roadmap and ROI model.
Yes, recordings are available for 6 months from the course date. Live attendance is strongly recommended because the breakouts and Q&A are where your specific use case and roadmap get refined.
Best practice: bring 2–3 key stakeholders (Ops/Finance/Product/Tech) if possible and get them registered separately. If you are looking for team coaching reach out to us on info@kriyalytics.com
You’ll continue execution with your team using the assets. You’ll have access to our community and bi-monthly live group check-ins to help you navigate this journey.
That can happen, ROI models are forecasts. The goal is to create a defensible baseline, assumptions, and measurement plan. If actuals differ, you’ll know what to inspect (inputs, adoption, process constraints) and how to revise the plan. Also you can join our bi-monthly checkins to gain more traction about next steps.
There are two scenarios: (1) If you immediately decide to not go forward with the course, then reach out to us at support@kriyalytics.com and we’ll refund you the whole cost within 7-10 days. (2) If you decide post taking the course. then we will adhere to our Guarantee terms above. For more details reach out on support@kriyalytics.com.
In that case drop a mail to support@kriyalytics.com and we’ll process your refund in 7-10 Working days.
Most courses teach tools or prompts. This program is built around decision-making and execution artifacts: selecting the right problems, mapping feasible approaches, and quantifying ROI so you can get buy-in and ship.
The frameworks are designed to be tool-agnostic. Tools will change; evaluation logic (fit, feasibility, data readiness, economics) stays stable. Updates / support (if offered) should be listed clearly.
No. The emphasis is on usable outputs and operating cadence. The deliverables (roadmap + ROI model + use-case portfolio) are the real credential inside an organization.
The first step is to translate your responsibilities into measurable outcomes and constraints. If you’re accountable for revenue, cost, time, quality, or risk, you can apply the system. If unsure, include a ‘talk to us’ path before purchase.
This is priced as an implementation sprint, not a lecture. The right comparison is the cost of delay, mis-prioritized pilots, or external advisory. Along with you get a framework that you can use time and again whenever you need to architect any AI usecase.




Build a de-hyped, profitable and lasting AI solution in 2026.


Start your journey today!


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