Responsible AI Policy for Employees in Nagpur: What Not to Paste
A responsible AI policy for employees in Nagpur starts with one list: what never goes into ChatGPT. Here is a plain-English rulebook for MIDC and office teams.
A responsible AI policy for employees in Nagpur can fit on one page: name what must never be pasted into a public AI tool, name who approves AI output, and train everyone on both. The need is real. NASSCOM-Deloitte says India needs 1.25 million AI professionals by 2027, and most of your people will use these tools long before they are formally trained.
TL;DR- Never paste customer data, salary data, contracts, drawings or passwords into a public AI tool.
- Use a simple red, amber, green list so nobody has to guess.
- A person approves anything that goes to a customer, a regulator or a bank.
- Policy on paper is not enough; a half-day practical session makes it stick.
- Book team training through the AI training page or call 8793630001.
What should employees never paste into ChatGPT?
Start with the red list. Customer names and phone numbers, employee salary and appraisal data, signed contracts, price quotes with margins, product drawings, source code, bank details and passwords never go into a public AI tool. Free tools may keep what you type, and you cannot take it back. The test I teach is simple: if you would not email it to a stranger, do not paste it. Most leaks I hear about are not hackers. They are a well-meaning person in a hurry trying to summarise a contract. Our AI training for corporates opens with exactly this list.
What does a one-page responsible AI policy contain?
Keep the policy to one page. Five blocks are enough: which tools are approved (for example ChatGPT, Claude, Gemini or Microsoft Copilot on a company account), what data is red, amber or green, who approves output, what to do if something is pasted by mistake, and who to ask. Long policies get filed and forgotten. A one-page version gets printed, pinned near the desk and quoted in meetings. If your legal advisor needs more detail, add it as an annexure, but the page employees read must stay short and in plain language.
How do you sort data into red, amber and green?
Red data never goes into any public tool. Amber data can go in only after names, numbers and identifiers are removed, or only into an approved company account. Green data is public or harmless: a general email draft, a meeting agenda, a training outline. Give examples from your own floor, not generic ones. An HR person should see offer letters under red. A purchase person should see vendor rate contracts under red. The table below gives a starting point you can adapt for your own company with your own examples.
| Level | Examples | Rule |
|---|---|---|
| Red | Customer lists, salaries, signed contracts, drawings, source code, passwords | Never in a public AI tool |
| Amber | Draft reports, internal data with names removed, meeting notes | Remove identifiers or use an approved company account |
| Green | Public information, generic email drafts, training outlines, agendas | Fine to use, author still checks |
Where must a person always approve AI output?
AI is fast and often confident and wrong. So a named person approves anything that leaves the company: customer replies, quotations, compliance filings, safety notices, job descriptions and anything that touches a bank or a regulator. For internal drafts the risk is lower, but the author still owns the final text. I run my own businesses with more than a dozen AI agents and one supervising agent, and even there a person approves what goes out. The rule is not distrust of AI. It is that responsibility stays with a human. See our responsible AI at work training for how we teach this.
What does this look like in Nagpur companies?
Nagpur is a mix of MIHAN, Butibori and Hingna MIDC units, logistics and warehousing, healthcare, education and a large services sector. The risks differ by floor. A plant team may be tempted to paste drawings or process parameters. A logistics team may paste customer shipment lists. A hospital admin may paste patient details, which should never happen. A finance desk may paste ledgers. Write your red list around your own industry and your own customers, then add one line on who in the company answers questions about it.
How do you train a team on the policy?
Policy alone does not change habits, so practise it. A half-day session works well: show real examples of safe and unsafe prompts, let each person rewrite one unsafe prompt into a safe one, and walk through your red, amber, green list on live tasks from their own role. I teach this one role at a time, because an accountant and a plant supervisor face different risks. If you want it run for your team, read about our corporate AI training or reach out through the contact page.
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Frequently Asked Questions
What should employees not paste into ChatGPT?
Customer data, salary and appraisal data, signed contracts, price quotes with margins, drawings, source code and passwords. If you would not email it to a stranger, do not paste it into a public AI tool.
Do we need an AI policy if we only use free tools?
Yes, and free tools are where the risk is highest, because you cannot control how inputs are stored. A short policy that names approved tools and red data protects the company at almost no cost.
How long should a responsible AI policy be?
One page. Cover approved tools, red, amber and green data, who approves output, what to do after a mistake, and who to ask. Add detail as an annexure, not in the main page.
Can you train our Nagpur team on this?
Yes. I run role-based AI training for company teams, including HR, finance, operations and plant teams. Request a proposal through the contact page or call 8793630001, and we will plan a session around your industry.
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