A self-paced AI strategy course for senior leaders, function heads and strategy and transformation leads. You follow one fictional insurer through twelve months, from a board question that nobody could answer to a strategy on one page, and you make the same eight decisions on your own organisation. Imagine walking into your next board meeting with one page that says where AI goes, what it is worth net of checking and change, who owns it and when you would stop. About 11 hours over 56 days.
Bodhih AI Strategy and Business Value is a self-paced online course for senior leaders, function heads and strategy leads who decide where AI goes in an organisation. Eight 75-minute modules follow one fictional insurer through a year and cover reading the AI landscape, choosing use cases, the business case net of checking and change, data and vendors, the operating model, risk appetite and regulation, scaling past the pilot, and a strategy on a page. Each module has an animated video and a decision simulation.
Facts on this page last checked by Siddharthan VGJ, Director, Bodhih Training.
The jagged line. The animated concept video from Module 1 (What AI can and cannot do for a business), narrated by a synthetic voice, with captions.
Pilots began when someone saw what a tool could do and looked for somewhere to use it. Several solve the same problem twice, some solve a problem nobody owns, and none measured the work before it started. So nothing can be scaled with confidence and nothing is ever stopped.
The hours on the slide are gross. They leave out the time people spend checking the output and putting right what was wrong, the data work, the training and the change to the process. And freed hours are capacity, not cash, until the work around them is redesigned.
A pilot has volunteers, clean data and attention, and a rollout has none of them. Add an unclear answer to who owns the result, a supplier asking for a long exclusive contract, and rules whose dates keep moving, and you have the position most leadership teams are in.
You answer to the board for what AI has delivered. The course gives you one page of choices, measures at three levels and a way to state uncertainty plainly.
You shape the plan and report progress. You will score a portfolio on the same four questions, write a stop list and build a roadmap of outcomes, not launches.
You sit on the steering group. A role lens sets each module’s situations and sorting exercise to your seat: the case you must sign, the process you run, the data you hold or the limits you set.
A team that takes the course together shares one vocabulary for AI decisions: baseline, net value, owner, tier, gate and stop condition. Consultants who advise such teams will find the same.
This course is not for you if you want to learn to use AI tools day to day, to build agents or automations, or to go deep on privacy law or security: Bodhih has separate courses for each. It has no live faculty and no peer cohort, and it is not legal advice or a governance qualification.
Four dated statements, each linked to its source. We opened each source on 14 November 2026; figures and dates may have changed since.
In May 2026 the US Census Bureau reported that 19.8% of US businesses had used AI in the past two weeks, and 37% of firms with at least 250 employees. Most firms are still early, whatever the headlines say.
US Census Bureau, “Large Firms With at Least 20 Employees Biggest AI Users” (read 14 November 2026), 26 May 2026UK official statistics show AI use among businesses with 10 or more employees almost tripling, from around 12% in 2023 to around 35% in June 2026, while only 10% of adopters report extensive use. Breadth is running ahead of depth.
Office for National Statistics, “Artificial intelligence in UK businesses: 2023 to 2026” (read 14 November 2026), 20 July 2026The EU AI Act became generally applicable on 2 August 2026, and the strict rules for high-risk uses start on 2 December 2027, as the European Commission’s page stood on 14 November 2026. The dates have moved once already. This is not legal advice.
European Commission, “AI Act”, Shaping Europe’s digital future (read 14 November 2026), Page updated 19 October 2026The Stanford AI Index 2026 charts a record 581.69 billion US dollars of corporate AI investment in 2025. A board is entitled to ask what its own share bought.
Stanford HAI, The 2026 AI Index Report, Economy chapter (chapter page read 14 November 2026; full report not read), 2026Each module ends with a task on your own organisation, and the eight tasks add up. Notice how the same five numbers travel from the business case in Module 3 to the board paper in Module 8: that is what a strategy held together by measures looks like. The course cannot tell you what AI will return for your company, and it does not try. It gives you a method, practice and the evidence.
Say what an adoption or productivity figure actually counted, set it beside official statistics, and separate what you have measured from what you have borrowed.
List what already runs, score every use on value, feasibility, risk and adoption effort, and decide what to back, what to park and what to stop.
Start from a baseline, take checking and rework off the gross figure, list the full costs, give a range and write the stop condition in advance.
Ask four questions of your data, choose to build, buy or partner, and negotiate a contract with the exit and the return of data written first.
Name a business owner for each outcome, define what the central team keeps, write a three-line risk appetite and tier uses by possible harm to people.
Find out why a rollout stalled, redesign the work around the tool, then present a strategy on a page and a 12-month roadmap with owners and stage gates.
The pathway runs in order: a baseline assessment, then eight modules (what AI can and cannot do for a business; finding, scoring and choosing use cases; the business case; data, technology and vendor choices; the operating model; risk appetite, governance and regulation; from pilot to scale; the strategy on a page and the 12-month roadmap), and a final quiz. Each module has a story chapter, a video, three short lessons, a worked example, a simulation, an at-work task and an 8-item check.
Measured before you start and again on the same instrument at the end, so the change is recorded rather than claimed.
The baseline assessment, Form A: 20 scenario questions on all eight competencies, about 25 minutes. It is not pass/fail; it sets your baseline, and you take the parallel form at the end.
What AI does well today, where it fails and where business value comes from, with the famous adoption numbers set beside official statistics. Scenario Sim: The chair’s question. Video: The jagged line.
Start from business problems, list what already runs, score every use on the same four questions and build a portfolio with a stop list. Scenario Sim: Twenty-three pilots. Video: Sieve, not showcase.
The business case line by line: a baseline, gross to net, capacity and not cash, the full cost list, a range and a stop condition written in advance. Scenario Sim: The case Tariq will sign. Video: Gross to net.
What an AI use stands on: four questions for your data, the four layers, build, buy or partner, and a contract you can leave. Scenario Sim: Renewal day. Video: Below the waterline.
Who owns each AI use, what the central team keeps, how to find product owners and how the money flows through seed funding and stage gates. Scenario Sim: Who owns it? Video: Hub and spokes.
A three-line risk appetite, tiers set by possible harm to people, a register, and the main rules and frameworks at principle level with the date each was read. Scenario Sim: The appetite session. Video: Three shelves.
Why pilots stall at scale, how to redesign the work around a tool, three adoption measures and the gate where you scale, fix or stop. Scenario Sim: Week eight. Video: The J.
The strategy on a page in six boxes, measures at three levels, the board conversation and a 12-month roadmap of outcomes with owners, gates and stop conditions. Scenario Sim: Twelve months on. Video: One page.
The final quiz, loaded from Form B: 20 parallel scenario questions on all eight competencies, about 25 minutes. Score 70% or more (3 attempts) for the credential.
Finishing this pathway issues a credential backed by the evidence you produced along the way. It is verifiable by link and is also issued as an Open Badge 2.0, so an employer can check it without taking your word for it.
Module 2 gives you one scoring sheet and four questions. In the simulation Twenty-three pilots you fund, merge, park or stop over four rounds while business heads lobby you.
Module 3 takes a supplier’s hours-saved figure down to a net number, a range and a stop condition. In The case Tariq will sign you defend it to a finance chief.
Module 4 covers data readiness, the layers of an AI product and exit terms. In Renewal day you trade the launch date against dependence on one supplier.
Module 5 compares central, federated and hub-and-spoke designs and how the money should flow. In Who owns it? two chiefs both claim the same assistant.
Module 6 covers a three-line appetite, a register and tiers, and the EU AI Act, the NIST AI Risk Management Framework and ISO/IEC 42001 at principle level, with the date each source was read.
Modules 7 and 8 cover why pilots stall, process redesign, adoption measures and the board paper. In Week eight and Twelve months on you decide to scale, fix or stop, and what to ask the board for.
What comes with the course, and what the practice is like.
The chair’s question, Twenty-three pilots, The case Tariq will sign, Renewal day, Who owns it?, The appetite session, Week eight and Twelve months on. You play the strategy director; meters show what each choice did, and a debrief explains every decision. They run in your browser and call no AI model.
One concept per module in about 75 seconds, from The jagged line to One page. They are animated and narrated by a synthetic voice, with captions and a transcript.
Each module ends with two to four checked links to official statistics, regulators, standards bodies, universities and research papers. They are links to those sources’ own material, not partnerships or endorsements.
The Leadership Offsite and Strategy Retreat Kit, The AI Use Policy and Governance Kit, The ISO 42001 AI Management System Starter and The AI Agent Deployment Playbook.
Company seats with reporting on each learner’s progress and before-and-after assessment scores.
Ask about team seats| What is compared | A typical AI strategy course for leaders | AI Strategy and Business Value at Bodhih |
|---|---|---|
| Time and format | A university online executive programme of four to nine weeks, some on fixed dates, or a 7 to 11 hour video course on an open platform. | About 11 hours, self-paced, starting any day. |
| Price | University online executive programmes priced in US dollars showed fees from $1,949 to $3,850 on their own pages on 15 November 2026; open-platform courses are free to enrol, with a paid certificate. | $124, or $99 per company seat. |
| What the hours are spent on | Often several modules on how the technology works and one on strategy. | One module on what the technology can and cannot do, and seven on the decisions a leader owns. |
| Practice | Video lectures, quizzes, discussion and, in some, an individual project. | A decision simulation in every module, and eight at-work tasks that build your own strategy on a page. |
| The numbers | Headline adoption and productivity figures, often quoted without what they measured. | Survey figures beside official statistics, task results beside business results, and value shown gross to net. |
| Honest limit | University programmes give you faculty, a peer cohort and a university certificate. | No live faculty, no cohort and no university certificate. The labs are simulations, not real AI tools. |
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Straight answers on time, price, tools and the credential. If yours is not here, ask us and you will have a reply the same working day.
Senior leaders, function heads, and strategy and transformation leads who decide where AI goes, what to fund and what limits to set. It also suits people who advise them. It is not a course on using AI tools day to day or on building agents; Bodhih has other courses for those.
No. Module 1 explains in plain words what today’s AI does well and where it fails. The other seven modules stay with decisions: use cases, money, suppliers, ownership, risk, scale and the plan.
About 11 hours: eight modules of 75 minutes, a 25-minute baseline and a final quiz. It is self-paced. We suggest 56 days, one module a week, so that you can do each at-work task before the next module.
No. You earn a Bodhih credential with an Open Badge 2.0 that anyone can verify online, once you complete all eight modules and pass the 20-question final quiz at 70% (three attempts). It is Bodhih’s own credential. It is not accredited by a university, a regulator or any outside body, and it is not a governance or legal qualification.
No. The labs are browser simulations. In each module you play a decision scenario at a fictional insurer: the same choices always give the same result, and a debrief explains every decision. No AI model is called and you do not need an AI subscription.
Nobody appears on camera. Each module has one short animated concept video, narrated by a synthetic voice, with captions and a transcript. The teaching is in the lessons, the worked example and the simulation; the video sets up one idea.
The course is $124 for an individual and $99 per seat for companies. Until 10 January 2027 the price shown on this page is a launch price, about half the regular price. After that date the regular price applies.
That course goes deep on AI agents: agent strategy, autonomy and oversight, and measuring agent value. This course covers the whole AI strategy, from the landscape to the roadmap, with a notes assistant as its main worked case; agents appear as one kind of use. They use different organisations and different simulations, so a leadership team can take both without repetition.
It covers the EU AI Act, the NIST AI Risk Management Framework, ISO/IEC 42001 and the OECD AI Principles at the level a leader needs, and tells you the date we read each source. It is not legal advice. Rules change, and the course teaches you to name someone who re-reads them.
None. The course is vendor-neutral and its lessons name no models, versions or prices, because those change every few months. It teaches the decisions that stay the same whichever supplier you use.
No, and be careful of anyone who says they can. It gives you a method to work out value net of checking and change for your own uses, and the research on why gains on a single task do not turn into business results by themselves.
The course is $124 for an individual, or $99 per seat for companies, with four Pro Kits included. The launch price ends on 10 January 2027. You can start today with the 25-minute baseline, then take the chair’s question in Module 1. For a leadership team, write to solutions@bodhih.com or call +91 99000 11601.
Starting records where you stand today. That baseline is what the re-measurement is compared against, and it is never rewritten afterwards.
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