Prompt Engineering & Team Training
This is hands-on training for your team on using AI tools properly, built around the work they actually do rather than generic examples. It ends with a prompt library and written SOPs for your specific tasks, so the capability stays after the training day rather than fading in a fortnight.
Who it's for
Companies whose staff are using AI badly or secretly.
What changes
Everyone gets better at it, with rules everyone knows.
- Starting at
- ₹75,000
- Timeline
- 2–4 weeks for an audit
- Category
- AI Consulting & Enablement
- Built from
- Vashi, Navi Mumbai
Key takeaways
- Generic AI training produces enthusiasm that disappears within weeks — task-specific training does not.
- Most teams already use AI tools informally, often in ways that create real data risk.
- The prompt library and SOPs are the durable output; the workshop is the delivery mechanism.
- Two to four weeks including follow-up, from ₹1,00,000 for a team of 10–20.
- Includes a data-handling policy, because most teams do not have one.
What is already happening in your organisation
Your team is using AI tools. Not officially, and not with any guidance, but they are — drafting emails, summarising documents, writing code, translating messages.
Some of them are good at it. Some are getting poor results and have concluded the tools do not work. And some are pasting client data, contracts and internal figures into free consumer tools with terms that permit training on the input.
The training addresses all three, and the third one is usually the most urgent finding when we run the initial assessment.
How the training is structured
Not a lecture. The sessions are built around your team's actual work, with their real tasks used as the exercises.
| Session | Content | Output |
|---|---|---|
| Assessment | What the team does, what they already use | Task inventory |
| Foundations | How these tools work and where they fail | Shared vocabulary |
| Hands-on, by role | Their own tasks, live | Working prompts |
| Data and safety | What must never be pasted, and why | Written policy |
| Library build | Formalising what worked | Prompt library |
| Follow-up, 3 weeks | What stuck, what did not | Revised SOPs |
Why the follow-up session matters most
Everyone is enthusiastic on training day. Three weeks later, some people have integrated the tools into their work and some have gone back to doing it the old way.
The follow-up finds out which, and why. Usually the reasons are specific and fixable — a prompt that worked in the session does not work on their real inputs, the tool does not fit their actual workflow, or they were not sure whether they were allowed to use it for a particular task.
Training without follow-up produces a good day and little change. We build it into every engagement rather than selling it separately.
What the prompt library contains
A library of generic prompts is available free on the internet and is worth roughly what it costs. Yours is built from your team's tasks during the sessions.
Each entry has the task it is for, the prompt itself, an example of good output, the common failure and how to correct it, and who to ask. It lives somewhere your team already works rather than in a document nobody opens.
It also needs an owner. A library nobody maintains is stale within six months as tools change, so part of the engagement is agreeing who keeps it current and how new entries get added.
Who benefits and who does not
Teams doing substantial routine written and analytical work benefit most — marketing, support, sales, HR, operations documentation, junior technical work.
Teams whose work is mostly physical, relational or decision-heavy benefit least, and we would rather scope them out than pad the attendance. A field service team gets more from a well-built mobile tool than from a training day on prompting.
The other poor fit is an organisation where leadership has not decided whether AI use is permitted. Training people to use tools they may be told to stop using produces confusion. That decision should come first, and we will say so.
Format, cost and what remains
Two to four weeks elapsed including the follow-up, from ₹1,00,000 for a team of ten to twenty. Larger organisations are usually run as several role-based cohorts rather than one large session, since the value comes from working on real tasks.
On site in Mumbai and Navi Mumbai; remote or hybrid elsewhere, though the hands-on sessions work considerably better in a room.
You keep the prompt library, the SOPs, the data-handling policy and the session recordings for people who join later.
FAQ
Prompt Engineering & Team Training — your questions
Which tools do you train on?
Whichever your organisation has decided to use, or a comparison if that decision is still open. The principles transfer between tools, and we deliberately teach those alongside the specifics so the training does not expire when a subscription changes. Where a team has no approved tool yet, part of the engagement is a short recommendation based on what they actually do and what your data policy allows.
Can you train in Hindi or Marathi?
Yes, and for operational and shop-floor teams it is usually the right choice. Sessions can run in Hindi or Marathi with materials in the same language. The prompts themselves are often more effective in English, so we cover writing prompts in English while working in whichever language the team is comfortable discussing their work in.
How do we measure whether it worked?
We agree two or three concrete tasks per role at the start and measure the time they take before and after — drafting a proposal, summarising a call, preparing a report. Those numbers are available at the follow-up session. The softer measure is whether the prompt library is being added to three months later, which is the better indicator of whether the capability took hold.
Do you train leadership separately?
Usually yes, and it is a different session. Leadership needs to understand what these tools can and cannot do well enough to evaluate proposals and set policy, rather than to write prompts themselves. That is a shorter session focused on judgement — what a realistic claim looks like, what questions to ask a vendor, where the risks sit. It works better separately because the content genuinely differs.
What if our team resists it?
That usually signals a reasonable concern rather than obstinacy — most often a worry about job security, sometimes a previous bad experience with a tool imposed from above. Addressing it directly works better than working around it. We open sessions with what these tools are poor at, which surprises people and establishes that this is not a sales pitch. Where the underlying concern is real, that is a management conversation and training will not substitute for it.
More in AI Consulting & Enablement
View all 7- AI Readiness AuditA clear, costed shortlist instead of a vague ambition.
- AI Strategy RoadmapA plan you can fund and hold people to.
- RAG Knowledge SystemInstitutional memory that survives people leaving.
- Custom LLM Fine-TuningA model that speaks your business's language.
- AI Agent Monitoring & MaintenanceYou find out about quality drift before your customers do.
- AI Governance & PolicyClear rules before an incident forces you to write them.
Next step
Want a Prompt Engineering & Team Training for your business?
Tell us what the process looks like today and we'll tell you what it would look like automated — and what it would cost.