Your team is faster with AI, and the questions on your desk have changed. Who does what now? Who is accountable for what goes out? Are your newest people learning the job? What do you say when someone asks, “Is my job safe?” This self-paced course follows one team leader through 24 weeks of exactly those questions, and you make the same decisions for your own team. Imagine your next team meeting starting with a one-page map of who does what, with a name on every task. About 11 hours over 56 days.
Bodhih Leading Human + AI Teams is a self-paced online course for managers and team leaders whose people now work with AI assistants or beside AI agents. Eight 75-minute modules cover dividing work between people and AI, redesigning roles, delegating to AI tools and agents, calibrated trust, keeping skills alive, fair goals and reviews, a one-page team AI charter and honest talk about jobs. Each module has an animated video and a browser-based Scenario Sim. Learners earn a Bodhih credential with an Open Badge.
Facts on this page last checked by Siddharthan VGJ, Director, Bodhih Training.
The jagged edge. The animated concept video from Module 1 (Who does what: people, AI and both), narrated by a synthetic voice, with captions.
The AI drafts, someone approves, and the letter goes out. When it is wrong, three people touched it and nobody answers for it. The work was re-divided without anyone deciding it, and the first time you find out is a complaint.
Some people accept whatever the tool writes. Others dropped it after one mistake. Both are errors, and neither group tells you when the AI gets something wrong. Telling everyone to “double-check everything” does not change that.
The old targets reward speed, and with AI the fastest route is to approve the draft. So the fastest person looks best, your most careful person looks worst, and you cannot tell who could still do the work without the tool. Then someone asks whether their job is safe, and you have nothing honest to say that is not a promise or a shrug.
For people who run a team day to day in operations, service, sales, finance, HR, technology or the public sector, and whose people now use AI assistants.
For managers who set goals, write reviews and answer to a senior leader for both speed and quality. Module 6 is about goals and reviews that stay fair when AI did part of the work.
For people who lead the work while the people report elsewhere. A role lens for project and matrix leads changes the examples, the sorting exercise and the at-work task in every module.
For teams choosing one course on leading people who work with AI, for managers across functions and countries. Company seats are $79 each.
This course is not for you if you want AI strategy for executives (see Bodhih Agentic AI for Leaders), prompting or tool skills (see Bodhih AI at Work), a first course in management, or legal training: it is the line manager’s craft for one team, and it gives no legal advice.
Four dated findings, each linked to its source, stated with its limits, and read on 14 November 2026. Notice which of these you have already seen in your own team.
A review of 106 experiments found that, on average, a person plus AI did worse than whichever of the two was better alone. Pairing helped most on creating content, and when the person was the stronger of the two. Most of the studies were laboratory studies from 2020 to mid-2023.
Vaccaro, Almaatouq and Malone, “When combinations of humans and AI are useful: a systematic review and meta-analysis”, Nature Human Behaviour 8(12) (read 14 November 2026), October 2024In an observational study at four centres, doctors who had become used to AI assistance found fewer adenomas when working without it: 22.4% of procedures, down from 28.4% before the AI arrived. The authors say continuous AI use might have changed how the doctors worked. It is one study, in medicine, and an early signal on skill fade, not proof.
Budzyń and colleagues, “Endoscopist deskilling risk after exposure to artificial intelligence in colonoscopy”, The Lancet Gastroenterology and Hepatology 10(10) (abstract read 14 November 2026), 2025In a randomised trial by an AI builder, junior engineers who learned a new tool with AI help scored 50% on a quiz straight afterwards, against 67% for those who worked by hand. Those who used the AI to ask questions and get explanations kept more than those who had it produce the answer. It was 52 people on one short task.
Anthropic Research, “How AI assistance impacts the formation of coding skills” (read 14 November 2026), 29 January 2026The EU AI Act asks organisations that use AI to take measures to support their staff’s AI literacy. The European Commission says no certificate is needed and that an internal record of training is enough. This course is training, not a compliance product, and this is not legal advice.
Regulation (EU) 2024/1689, Article 4, and European Commission, “AI Literacy: Questions and Answers” (read 14 November 2026), In application from 2 February 2025Each module ends with a task on your own team, so you finish with eight working documents and not only notes. Picture the next time someone asks, “Is my job safe?”, and having three honest sentences ready. The course cannot promise results for your team: it gives you methods, practice and tools, and the work is yours.
Break your team’s work into tasks and decide what people do, what AI does with a human check, and what they do together, with one accountable person for each.
Redesign a role with the person who holds it, so that it keeps whole work, real decisions and learning after AI takes some of the tasks.
Hand a task to an AI tool or agent with an outcome, context, limits, checks, stop conditions and a named owner who can pause it.
Spot over-reliance and under-use, respond to an AI error so that people report the next one, and keep a catch log.
Find the skills your team must keep by hand, check them without AI, and set up practice so that newer people still learn the craft.
Pair output with quality in goals and reviews, agree a one-page team AI charter with your team, and talk about jobs without a promise or a forecast.
The pathway runs in order: a baseline assessment, then eight modules (who does what; redesigning roles without hollowing out jobs; delegating to AI tools and agents; calibrated trust and saying “the AI was wrong”; keeping skills alive; goals, reviews and fairness; your team AI charter; honest talk about jobs), and a final assessment of 20 questions.
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.
List your team's real tasks and sort each one: people only, AI first with a human check, or together, with one accountable name on each. Scenario Sim: The Monday queue. Animated video: The jagged edge.
A role is a bundle of tasks. See the two ways it hollows out when AI takes some of them, and redraw it with the person who holds it. Scenario Sim: Approve, approve, approve. Animated video: The hollow job.
The task moves and the accountability stays with a named person. Write a one-page delegation brief with limits, checkpoints, stop conditions and an owner. Scenario Sim: Thirty-eight letters. Animated video: The baton and the rope.
Over-reliance and under-use are both errors. Learn four manager moves that make it safe to say the AI was wrong, and start a catch log. Scenario Sim: Seven in sixty. Animated video: The trust dial.
Speed with the tool is not skill without it. Choose the skills your team keeps by hand, test them unaided and set up practice so that juniors still learn. Scenario Sim: The unaided file. Animated video: Two curves.
What you target is what you get. Set goals in pairs, count contribution the numbers miss and test a review four ways for fairness. Scenario Sim: The league table. Animated video: Two pans.
Your team already has AI norms. Choose them together on one page of seven lines, settle how you say AI was used and keep the page alive with a weekly catch review. Scenario Sim: One page on the wall. Animated video: One page on the wall.
When someone asks “Is my job safe?”, say what you know, what you do not know yet and when you will know more. Read resistance as information and carry concerns upward. Scenario Sim: Six pods into five. Animated video: Three boxes.
The final assessment, 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 1 gives you four tests for sorting a task and one rule: every task has a named accountable person. Practised in the Scenario Sim The Monday queue.
Module 3 teaches a six-part delegation brief with checkpoints and stop conditions. In Thirty-eight letters you write the brief, then respond when the first week goes wrong.
Module 4 treats over-reliance and under-use as equal risks and gives you four manager moves. In Seven in sixty you run the meeting after a bad audit.
Module 5 separates speed with the tool from skill without it, and says plainly that the evidence on skill fade is early. In The unaided file you coach a junior after a low score.
Module 6 pairs output with quality and tests a rating four ways for fairness. In The league table you hold two review conversations and take a case to your own manager.
Modules 7 and 8: a one-page charter written with the team, a rule for saying when AI was used, and three boxes for honest talk about jobs. Practised in One page on the wall and Six pods into five.
What comes with the course, and what the practice is like.
The Monday queue; Approve, approve, approve; Thirty-eight letters; Seven in sixty; The unaided file; The league table; One page on the wall; and Six pods into five. In each you make the team leader’s decisions and see what follows. They run in your browser and call no AI model.
Choose one of seven lenses, from operations and service to public sector, health and education, or project and matrix leads. The examples, the sorting exercise and the at-work task follow your choice.
A task map, a role canvas, a delegation brief, a catch log, a skills plan, a paired goal, a one-page team AI charter and your three boxes for an honest talk about jobs. You keep them; they are not graded.
The team meeting operating system, the delegation and workload planner, the AI literacy programme and the skills matrix kits, at no extra cost.
Company seats with reporting on each learner’s progress and before-and-after assessment scores.
Ask about team seats| What is compared | A typical course on managing teams with AI | Leading Human + AI Teams at Bodhih |
|---|---|---|
| Who it is written for | Executives setting strategy, or anyone curious about AI at work. | The line manager of one team: the person who assigns the work, signs the reviews and gets asked about jobs. |
| What it covers | Often adoption: how to get the team using AI more. | Under-use and over-use as equal risks, then roles, delegation, skills, fair reviews, team norms and change. |
| Practice | Short videos and a quiz, or a single live workshop. | Eight Scenario Sims, one per module, and a task on your own team in every module. The sims are browser simulations, not real AI tools. |
| The evidence | Claims with no sources shown on the page. | Research cited with its limits and the date each source was read. Where a rule is our own teaching model, the lesson says so. |
| Time and price | On 14 November 2026 we saw options from a five-hour platform course inside a yearly subscription of a few hundred US dollars, through a 90-minute workshop at a few hundred dollars, to a three-day in-person programme at several thousand euros. | About 11 hours, self-paced, at your desk, for $99. |
| Honest limit | A live programme gives you a room of peers and a faculty member to question. | No live cohort and no human coach. The credential is Bodhih’s own and is not accredited by an outside body. Nothing here is legal advice. |
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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.
People who lead a team in which AI tools or agents now do part of the work: team leaders, supervisors, first-line and second-line managers, project and squad leads, in any function. It is not for executives setting AI strategy, and it is not a tools course.
About 11 hours: eight modules of 75 minutes, a 25-minute baseline assessment and a final assessment. It is self-paced. Most people will spread it over about eight weeks; the expected duration is 56 days.
No. You earn a Bodhih credential with an Open Badge 2.0 that you can share and that anyone can verify. It is Bodhih’s own credential. It is not accredited by a university, regulator or other outside body, and we do not claim that it is.
The practice labs are browser simulations: branching scenarios in which you make a manager’s decisions and see the effects. No AI product is used, no account is needed and nothing is installed. The eight concept videos are animated and are narrated by a synthetic voice, with captions.
The course is $99 for an individual and $79 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.
No. You need to have used an AI assistant at work. You do not need to build anything or write code.
None by name. The course is about leading people who work with AI, so it applies whichever assistants or agents your organisation uses. If you want tool skills, see Bodhih AI at Work or Bodhih Copilot and Gemini at Work.
Agentic AI for Leaders is for executives: strategy, risk appetite, governance and organisation-wide change. A first-time manager course teaches the basics of managing. This course is the line manager’s craft for one team where AI does part of the work, and it teaches only what changes when AI arrives.
Complete all eight modules and pass the final assessment of 20 questions at 70%. You have three attempts. There is no reviewed project. Each module has a task for your own team, which you keep; it is not graded.
No. The course explains, at the level of principle and with the date each source was read, what some rules and standards say about human oversight, AI literacy and using AI to evaluate workers. It is not legal advice and it is not a compliance product. For your own situation, ask your legal, privacy or HR team.
You get four Pro Kits at no extra cost: the team meeting operating system, the delegation and workload planner, the AI literacy programme and the skills matrix kits. Companies can buy seats at $79 each, with reporting. The course does not promise results for your team: it gives you practice and tools, and the work is yours. For seats, write to solutions@bodhih.com or call +91 99000 11601.
The course is $99 for an individual, or $79 per seat for companies, with four Pro Kits included. The launch price ends on 10 January 2027. You can start today with the baseline assessment and Module 1, and have your team’s task map on one page this week. For a 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.
Decide where AI agents go, what they may do alone and what they deliver: four decision simulations for leaders.
Four hours of hands-on AI literacy for every employee, with a measured before-and-after score.
Use the AI assistant in your office suite for email, documents, spreadsheets, slides and meetings, and check every draft. One switch covers both suites.
Measure your team first, plan each person’s growth after, or bring a trainer or coach in. Bodhih’s sister companies cover the rest of the journey.