Your Assets
- Prompt and question library
- Worksheets and live Excel tracker
- Diagnostic playbook
AI Profit OS
Your AI is running. Your P&L is not moving.
A 3-day live sprint for COOs, CFOs, VP Operations, and founders who need a system for making AI decisions before committing budget, vendors, and teams.
Enrollment opens in ~3 weeks · waitlist gets first access and a $50 early-bird discount.
Systems built for leaders at
The Leak
Data exists. Decisions are made. Intelligence is not flowing.
Most teams do not need more tools first. They need a way to decide which operating problem deserves AI, what the simplest feasible architecture is, and what ROI number can survive executive scrutiny.
You Leave With
Four artifacts that make AI fundable.
- A ranked list of AI use cases tied to operating leverage.
- An ROI formula anchored to P&L movement, not activity metrics.
- A board-ready investment memo your CFO can interrogate.
- A defense system for avoiding bad vendor contracts and premature builds.
Sprint Structure
Three days. Three decisions. One operating system.
Stop chasing fads. Start diagnosing friction.
Day 1: The Architectural Audit
The A.R.T. System 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."
Stop chasing fads. Start diagnosing friction.
Day 1: The Architectural Audit
The A.R.T. SystemOn 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.
Map the solution. Remove the magic.
Day 2: The Logic Design
The O.L.C.D. Framework 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 $90M+ portfolios.
Map the solution. Remove the magic.
Day 2: The Logic Design
The O.L.C.D. FrameworkDay 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 $90M+ 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.
Quantify the value. Secure the buy-in.
Day 3: The Value
ROI Grid Mapping 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.
Quantify the value. Secure the buy-in.
Day 3: The Value
ROI Grid MappingDay 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 of your business improvement.
- The Framework Repository Repeatable strategy documents for auditing any future opportunity.
- The 30-90 Day Deployment Roadmap A visual execution timeline you can hand to your team immediately.
- The ROI Decision Tracker An Excel-based system to track baseline performance against AI-driven improvement.
Included
The sprint is live, but the assets stay with you.
Ongoing Access
- Private community
- Twice-monthly group sessions
- Email support
You are not buying a course. You are buying a thinking system plus ongoing access to me for the next 90 days (and twice a month after that).
Right Fit
Join if you are accountable for the decision.
- You are a VP, C-suite leader, department head, founder, or senior operator.
- You own, influence, or defend a P&L decision.
- You know AI matters but are unsure what to build, what to buy, or what to stop.
- You want to lead AI work without becoming a data scientist.
Skip If
You are looking for AI theatre.
- You want a prompt-engineering bootcamp.
- You expect AI to do the strategic thinking for you.
- You want theory, certificates, or tool demos without operating accountability.
- You cannot invest two to three focused hours per week during implementation.
Guarantee
If the sprint cannot produce a viable use case and roadmap, it failed.
I am not an influencer. I am an engineer. If the system does not work, I do not want your money.
If after 30 days you have not mapped at least one viable AI use case with clear ROI and built a 30 to 90 day roadmap you can hand to your team, I will refund 100% of your fee. And I will pay you 10% extra for your wasted time within 7 to 10 days. No questions asked.
The point is not course completion. The point is a decision your team can act on.
“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.”
Questions
Before you join.
Is this a coding course?
No. It is a strategic operating sprint for leaders who need to decide where AI should create value before teams build or buy.
What do I leave with?
A use-case priority map, ROI logic, implementation roadmap, and investment memo that can be challenged by finance and translated by technical teams.
What if I am not ready for a cohort?
Start with the $93 AI Profit Quotient, a question based diagnostic that shows where your Logic Leak sits or you can book a clarity call and we can route you toward a smaller audit, consulting engagement, or the weekly brief.
I am not technical. Will I keep up?
Yes. It assumes business fluency, not engineering fluency. Your work is in worksheets and simple docs, no code, and no AI background required.
What industries is it for?
The course is designed to be industry-agnostic. The frameworks key to find problem patterns like cost, time, quality, risk, revenue, and are not for a specific industry/vertical. Hence, the diagnostic can travel across sectors.
How is this different from other AI courses?
Most courses either teach tools or prompts, or go PhD-level deep in technicals, or give surface-level information regarding business. This is a decision system: which problems need AI, the simplest feasible approach, and an ROI model attached to it. You leave with artifacts that cover a ranked use-case map, a roadmap, and a board memo along with a lot of notes for your readiness.
Will it go stale as the tools change?
The frameworks are tool and time agnostic. The evaluation logic stays stable even as models and vendors churn, so the decisions you make in the sprint keep holding.
Can I attend if I am new to AI?
Yes. The cohort is for leaders with 10+ years of business experience. You will learn to make AI decisions, not memorize AI terminology.
Is this just LLM or prompt training?
No. The core is a decision system: which problems need AI, the simplest feasible approach, and how to model ROI before execution. Tools (ChatGPT, Gemini, Claude) are aids, not the focus.
What is the time commitment outside the live sessions?
Plan roughly 2 to 3 hours per week for about 30 days to complete the worksheets, validate assumptions with your team, and finalize your roadmap and ROI model.
Can I bring my team?
Best practice: bring 2 to 3 stakeholders (Ops, Finance, Product, Tech) and register them separately. For team coaching, email info@kriyalytics.com.
What is the refund policy?
Two scenarios: (1) Pre-cohort, email info@kriyalytics.com for a full refund within 7 to 10 days. (2) Post-cohort, the Guarantee terms apply. For details, email info@kriyalytics.com.
Next Cohort
Bring one live decision. Leave with the logic to defend it.
$393 early-bird · $693 standard · 30 seats, first-come, first-served.
Not ready for a seat?
Start with the $93 diagnostic.
The AI Profit Quotient is an 8-question self-diagnostic that shows where your Logic Leak sits and which use cases are worth a sprint — before you commit to a cohort.