More Bodhih Professional Playbooks
A tool-agnostic, role-agnostic system for reliable, safe, measurable productivity from generative AI in 30 days. Written by corporate trainers for professionals with real jobs and real deadlines.
AI at Work, Done Right · Bodhih Professional Playbooks · 01 by Bodhih Training, trainers to 2,000+ companies since 2008.
Protect confidential data first, brief the AI with clear context, and check every output before you use it. AI at Work, Done Right by Bodhih Training teaches this as three habits: the Traffic Light Rule for what not to paste, the BRIEF prompt method, and the CHECK routine for verifying claims, gaps, risks and numbers.
You type a request and get generic, over-enthusiastic text that sounds nothing like you. Editing it takes as long as writing it yourself, so you quietly give up.
Client names, salaries, vendor contracts: you know some of it should not go into a chatbot, but nobody has told you where the line is. So you either take risks or avoid AI altogether.
AI invents dates, statistics and even testimonials in perfectly polished prose. One unchecked sentence in a client email can cost far more than the time it saved.
Your manager asks whether AI is saving you time and all you can say is 'I think so'. Without numbers, nothing changes: no recognition, no better tools, no time back for important work.
Imagine next Monday. You open your saved status-report prompt, paste in the notes you jotted during the week, and have a clean draft in under a minute. You run the CHECK routine, fix the one date that needs confirming, and send it before your coffee goes cold.
By Wednesday you notice something. The emails you used to put off, the late-payment chaser and the polite no to a client, are done before lunch, and they sound like you on a good day. You know exactly what you can paste and what you cannot, so there is no second-guessing and no nervous glance at the compliance policy.
As you start using these methods every day, the minutes add up in your tracker. Two hours one week, three the next. You decide where that time goes: the customer calls you kept postponing, the project you never reached, or simply leaving on time.
And when your manager asks whether AI is really helping, you do not say 'I think so'. You show them the numbers, the prompts behind them and the checks that keep the work safe. That is a very different conversation.
Every chapter starts with a real situation, gives you a method, and ends with something to do today.
Why vague prompts disappoint, what this book promises, and the three ideas (Traffic Light, BRIEF and CHECK) that run through every chapter.
A plain-English model of how generative AI works, why it hallucinates, the four things it does not have, and the Task Triage grid for deciding when to use it.
A two-second rule for what is safe to paste, how to anonymise data so AI can still help, and what to look for in company policy and data protection law.
The five-part BRIEF method (Background, Role, Instruction, Example, Format), with worked examples, a Lite version for quick tasks and the follow-ups that fix weak drafts.
A fast, repeatable routine (Claims, Holes, Exposure, Consistency, Keep or kill) for catching AI errors before they reach your manager or client.
Draft from notes, adjust tone, decode long threads and prepare difficult messages, while keeping your own voice and cultural register.
Purpose-driven summaries, guarding against holes, and reusable report prompts that get more reliable every week.
Formulas from plain English, explaining inherited formulas, cleaning data safely, and treating AI analysis as hypotheses you verify.
Meeting prep, careful use of transcription, notes-to-minutes in five minutes, and a decision log that writes itself.
A five-step research workflow that uses AI as an assistant, not a source, plus the warning signs of invented facts.
Work in layers from argument to polish, write slide titles as statements, and stress-test proposals as the decision-maker.
AI agents explained without hype: the three-rung ladder, why agents need human checkpoints, and how to spot and propose good automation candidates.
Track time saved honestly, sort tasks into wins and losses, decide where saved hours go and build habits that last.
A day-by-day, four-week adoption plan at 15 to 20 minutes a day.
Forty-two copy-ready prompts grouped by task: thinking, email, reports, spreadsheets, meetings, research, documents and checking.
A practical checklist covering tools, data, quality, fairness, transparency and automation, ready to take to your manager or HR.
A simple tracker template and weekly review to measure your AI productivity and make the case with real numbers.
Every outcome is practised in the book through worked examples and a short exercise.
Most of the time, AI doesn't need the sensitive details to help. Maria didn't need vendor names or mobile numbers to analyse delay patterns. She needed the pattern. Four techniques do most of the work.
Replace names with codes or roles. "Vendor A," "Employee 1," "the client." Keep a private key on your own machine to map them back.
Round or rescale numbers. Use percentages or bands, or multiply everything by a constant. The patterns survive; the secrets don't.
Describe instead of pasting. Rather than pasting a confidential clause, describe it: "Either party can exit with 60 days' notice, with a penalty if the client exits in year one."
Strip the extras. Delete columns you don't need. Check document headers, comments and tracked changes for names.
| Typical advice | This book | |
|---|---|---|
| Prompting | Lists of 'magic prompts' that rarely fit your situation | A method (BRIEF) you can apply to any task, plus 42 adaptable prompts |
| Accuracy | Little or nothing on hallucination | A dedicated CHECK routine, scaled to the stakes of each task |
| Confidentiality | A brief warning, if any | The Traffic Light Rule, anonymising techniques and a policy checklist |
| Tools | Tied to one product's current features | Tool-agnostic: works with ChatGPT, Gemini, Claude, Copilot or your company's approved assistant |
| Results | Vague promises of productivity | A time-saved tracker and 30-day plan so you can measure the gain |
Bodhih Training has designed and delivered corporate programmes since 2008 for leadership teams, new managers, sales and service teams, and whole organisations. The Bodhih Professional Playbooks distil what works in those workshops into books you can use on a Tuesday morning, without a facilitator in the room.
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Read on your phone tonight, or on your commute tomorrow. Do the first "Do this today" exercise and notice the difference.
Download the book, pick one task from your week and run your first BRIEF today. Whether you read it cover to cover tonight or work through the 30-day plan fifteen minutes at a time, you will soon have a safe, measured AI habit of your own.
Personal licence: for the buyer's own use on their own devices. Please don't share or resell the file. Team and company licences: solutions@bodhih.com.
Role-based Applied AI certification pathways with SCORM courses, labs and an assessed capstone.
Free guides: how sales, marketing, HR and finance teams use AI day to day.
Bring a live AI-at-work programme to your whole team.
Certification pathways in Applied AI, Workplace English and management.
Measure your skills with AI-graded assessments and verified credentials.
Turn what you learn into an individual development plan that stays yours.
Book a vetted coach for career, leadership or communication. Pay per session.
Run this book as a workshop for your team, in person or live online.
It can be, if you use tools your company has approved and never paste personal, client-confidential, financial, legal or security information. This book's Traffic Light Rule makes that a two-second decision, and Chapter 2 shows how to anonymise data so AI can still help. Always follow your own company's policy.
Use a consistent routine rather than a quick skim. The book's CHECK routine covers Claims (verify every fact), Holes (what's missing), Exposure (confidentiality, promises, fairness), Consistency (numbers and sources) and Keep or kill. It takes under a minute for simple messages and five to ten minutes for client work.
None in particular. Every method and prompt works in ChatGPT, Gemini, Claude, Copilot or your company's approved assistant, so the book stays useful as tools change.
Yes. It assumes no technical knowledge and starts with a plain-English explanation of what generative AI can and cannot do. Experienced users also find the CHECK routine, prompt library and measurement chapter useful.
Yes. Chapter 11 explains AI agents and automations for beginners, without product hype: what they are, why they need human checkpoints, how to spot good candidates, and how to propose an automation to your IT team.
It builds the skills that make AI genuinely useful at work: briefing clearly, checking output critically, protecting information and measuring results. These are communication and judgement skills that transfer across roles and tools.
Yes. The standard purchase is a personal licence. For team and company licences, email solutions@bodhih.com.
Once you have the foundations, Bodhih offers Applied AI practitioner pathways on bodhih.org for Sales, Marketing, HR, Finance and First-time Managers. If you want to benchmark skills, AssessAll (assessall.com) offers skill assessments.
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Yes. Team and company licences, and workshops based on the book run by Bodhih Training, are available. Write to solutions@bodhih.com or call +91 99000 11601.
