AI & productivity · 2 days · Beginner

ChatGPT & Claude for Business Teams

A two-day, hands-on workshop that teaches non-technical teams to brief ChatGPT and Claude clearly, check what comes back, and keep confidential information out of the wrong tools.

Request a course proposal View the curriculum

Duration: 2 days · 16 hours
Cohort: 15–25 participants
Delivery: Onsite or live online
Level: Beginner · no coding

Course overview

What is the ChatGPT & Claude for Business Teams course?

ChatGPT & Claude for Business Teams is a two-day, instructor-led Technovids workshop for non-technical professionals in HR, marketing, sales, finance, operations and management. Participants learn to brief ChatGPT and Claude clearly, draft and summarise work documents, structure research, and check every output before it is used. The course also covers what information must stay out of AI tools, so a team adopts one shared, reviewable way of working instead of individual trial and error.

Is this the right course for you or your team?

Who it is for

Professionals who write, research, analyse, plan or communicate as a core part of the job
Teams already trying ChatGPT or Claude informally who now need a consistent, reviewable method
Managers who want a shared baseline before approving wider AI use in their function

Situations it fits

Your organisation has rolled out an approved ChatGPT or Claude workspace, but people have not been shown how to use it well
AI use is happening anyway, with uneven quality and no agreed rules on what can be shared
A function wants to standardise a few recurring tasks before scaling AI use further

Prerequisites

Basic computer literacy and everyday use of email, documents and spreadsheets
A laptop with a current browser and access to the AI accounts your organisation approves for the session
No coding, data science or prior AI experience

When a different course fits better

This is a business-user course. If the goal is to build software, automate across systems or design AI applications, a more technical programme will fit better.

Advanced prompt engineeringfor teams already confident with the basics who need structured, repeatable prompting
No-code AI automationfor business users who want to connect AI steps into automated workflows
Claude Code trainingfor developers using Claude in their engineering workflow
Production AI engineeringfor engineers building and running AI applications

Workplace tasks

The business problems this course addresses

The course is built around ordinary workplace tasks where AI can save effort — and where an unchecked output can cause real problems.

Workplace tasks, the usual problem, and what the course practises
Task	The usual problem	What participants practise
First drafts	Emails, reports and proposals start from a blank page and take longer than they should.	Brief the tool with purpose, audience and constraints, then edit the draft until it says what the author means.
Long documents	Policies, reports and email threads get skimmed rather than read.	Summarise with uncertainty kept visible, and check the summary against the source before relying on it.
Desk research	Background research is slow, scattered and hard to trust.	Break the question into parts, let AI propose a structure, and verify decision-critical facts at primary sources.
Meeting follow-up	Decisions and owners get lost between the call and the follow-up email.	Turn notes into decisions, owners and next steps — with the meeting owner confirming them.
Report narrative	The numbers are ready, but the commentary that explains them is not.	Draft the narrative from figures a person has already checked, without letting the tool invent causes.
Team consistency	Everyone uses AI differently, and nobody reviews what goes out.	Agree a small set of tested team prompts and a review step for anything shared outside the team.

Learning outcomes

What participants will be able to do

Practise the skills below through course exercises, then check the results and explain how you would apply them to your work.

Give AI clearer instructions
Turn a vague request into a reusable prompt with context, constraints, examples and an explicit output format.
Improve everyday writing
Draft and revise emails, reports, summaries and meeting material without losing the author’s intent or voice.
Research with a verification plan
Use AI to structure questions, compare information and surface gaps — then verify important claims against primary sources.
Review outputs critically
Recognise unsupported statements, missing context and false confidence before an AI-assisted output is shared or used.
Handle work data more safely
Recognise what should not be pasted into a tool, and follow the organisation’s approved accounts, policies and review process.
Build role-specific workflows
Convert a recurring task into a simple sequence the team can test, document and improve after the workshop.

Role-based use cases

How each team applies it to real work

The method is the same for every function; the examples change. For each role, the workshop separates what AI can help with from what a person must still check.

HR & L&D
Recurring task
Job descriptions, policy explainers, training outlines and employee FAQs.
How ChatGPT or Claude helps
Produces a structured first draft from the role requirements or policy text, and rewrites it for different employee groups.
A person must review
Legal and policy accuracy, inclusive language, and anything that touches an individual employee’s personal data.
Marketing & communications
Recurring task
Campaign briefs, content variations, announcement drafts and research summaries.
How ChatGPT or Claude helps
Generates angles and variations against a brief, adapts copy for each channel and condenses background reading.
A person must review
Brand voice, every factual or product claim, disclosure requirements and originality.
Sales & customer teams
Recurring task
Account research, meeting preparation, proposal structure and follow-up emails.
How ChatGPT or Claude helps
Organises publicly available account information, suggests discovery questions and drafts follow-ups from the rep’s notes.
A person must review
Anything said about the client, pricing and commitments — and whether client information was allowed in the tool at all.
Finance & operations
Recurring task
Variance commentary, process notes, SOP first drafts and management-report narrative.
How ChatGPT or Claude helps
Explains figures a person has already verified in plain language, and turns rough process notes into a structured SOP draft.
A person must review
Every number and calculation, the stated reason for a variance, and fit with internal controls.
Managers & leaders
Recurring task
Decision briefs, meeting synthesis, planning questions and option comparisons.
How ChatGPT or Claude helps
Lays out options, assumptions and counter-arguments, and condenses meeting notes into decisions and owners.
A person must review
The decision itself, how trade-offs are weighed, and how the conclusion is communicated to the team.
Business analysts
Recurring task
Requirement clarification, document comparison, issue framing and analysis summaries.
How ChatGPT or Claude helps
Compares document versions, drafts clarifying questions for stakeholders and structures findings into a readable summary.
A person must review
Traceability to the source requirement, completeness, and any conclusion drawn from data the tool has not seen.

Tools and platforms

The AI assistants used in the workshop

The workshop uses both assistants so participants learn a method that carries across tools, rather than the buttons of one product.

ChatGPT
by OpenAI
Used throughout for prompt design, drafting and rewriting, and structured outputs.
- Briefing with context, constraints and an output format
- Drafting and rewriting for different audiences
- Tables, checklists and other structured outputs
Claude
by Anthropic
Used alongside ChatGPT for longer material, careful rewriting and side-by-side comparison.
- Summarising longer documents participants supply
- Revising tone and structure without losing meaning
- Comparing answers to the same task across both tools

Selected exercises are run in both tools so participants can see where outputs differ — and why the review step matters whichever assistant is used.

Research in context

What the evidence says about AI at work

Two experiments help explain why this workshop pairs useful AI tasks with a review routine. The gains were measured on specific writing and consulting assignments—not across every employee’s job or every AI model.

Noy & Zhang · Science · 2023

Professional writing with ChatGPT

Randomised online experiment · 453 college-educated professionals · occupation-specific writing tasks

40%less time on the assigned writing tasks
18%higher independently rated output quality

The largest quality gains went to participants whose first, unassisted task received lower scores. That suggests AI can help with a first draft or structure, not that it replaces domain knowledge.

Important limit: The 20–30-minute tasks did not require company-specific context, and the researchers did not test factual accuracy. Do not apply these percentages to every workplace document.

Read the published Science paper

Harvard Business School & BCG · 2023

Consulting tasks and the “jagged frontier”

Preregistered field experiment · 758 BCG consultants · GPT-4-assisted and unassisted groups

25.1%faster on tasks within AI’s capability frontier
12.2%more tasks completedWithin-frontier tasks
>40%higher-rated qualityWithin-frontier tasks

The useful question is not “Can AI do consulting?” but “Which parts of this task can this model do reliably, and which need a person?”

Important limit: On a task selected outside the model’s capability frontier, AI users were 19 percentage points less likely to reach the correct solution. Faster work is not necessarily better work.

Read the HBS working paper

2 days · 16 hours

Detailed curriculum

4 modules, each pairing short instruction with guided practice. Sequence and examples can be adjusted after the training-needs discussion; the core outcomes stay the same.

Day 1

Module 014 hours
AI foundations and prompt design
- What ChatGPT and Claude can and cannot reliably do, without the jargon
- Navigating the approved workspaces and their settings
- A practical prompt structure: context, task, constraints and output
- Follow-up questions, examples and iterative refinement
Practical activity
Exercise 1 — rewrite a weak prompt and compare the two outputs against a quality checklist.
Module 024 hours
Writing and communication workflows
- Emails, reports and executive summaries
- Controlling tone, audience, evidence and format
- Meeting agendas, notes, decisions and action items
Practical activity
Exercise 2 — produce two audience-specific versions of the same message.

Day 2

Module 034 hours
Research, analysis and decision support
- Breaking a research question into answerable parts
- Summarising long material without hiding uncertainty
- Using tables and structured outputs to compare options
Practical activity
Exercises 3 and 4 — plan and verify a research question, then review an AI response for unsupported claims.
Module 044 hours
Safe use and a team prompt playbook
- Confidential, personal and client information: what not to share
- Hallucinations, bias, human review and escalation
- Naming, testing and maintaining reusable team prompts
- Planning how each participant will apply one workflow after the workshop
Practical activity
Exercises 5 and 6 — document one repeatable workflow and assemble a starter team prompt playbook.

Need the agenda built around your team’s work?

Share the roles attending and the tasks to improve. The proposal sets out the adapted agenda.

Request a course proposal

Hands-on practice

Exercises and practical outputs

Every module follows the same rhythm. Participants work on representative, non-sensitive workplace examples, and the instructor reviews the work with them rather than only demonstrating.

How every module runs

Learn
A short instructor-led explanation and live demonstration of one technique.
Practise
Participants apply it to representative, non-sensitive work examples in the approved tools.
Review
Outputs are checked with the instructor for accuracy, completeness, tone and data handling.
Apply
Each participant adapts the technique to a recurring task from their own role.

Module 01
Exercise 1: Rewrite a weak prompt
Start from a vague request such as “summarise this report”. Add context, audience, constraints and an output format, then compare the two responses.
Practice output A before-and-after prompt pair with notes on what changed the result.
Module 02
Exercise 2: Write for two audiences
Take one representative update and brief the tool to produce a version for leadership and a version for frontline staff.
Practice output Two drafts, edited by the participant, with the tone and detail choices explained.
Module 03
Exercise 3: Plan research and verification
Break a business question into sub-questions, use AI to propose a structure, and mark which facts must be checked at a primary source.
Practice output A research outline with a verification note against each decision-critical claim.
Module 03
Exercise 4: Review an AI answer for unsupported claims
Examine a supplied AI response and highlight statements that are unsupported, outdated or overconfident, then decide what to do with each.
Practice output An annotated response and a short list of checks to repeat on future outputs.
Module 04
Exercise 5: Document a repeatable workflow
Choose one recurring task from your role and write down the steps, the prompts, the inputs that are allowed and the review point.
Practice output A one-page workflow a colleague could follow and test.
Module 04
Exercise 6: Start a team prompt playbook
Collect the prompts that worked during the workshop, name them, and note when to use each one and who reviews its output.
Practice output A starter playbook the team can keep testing and maintaining.

Exercises use representative, non-sensitive examples. Outputs are produced during the workshop for practice and review; anything participants keep is their own working material.

Safe AI use

Verification, data handling and human judgement

Safe use is taught as working practice, not a closing slide. These are the rules participants apply in every exercise.

Check the current product documentation and your organisation’s data-handling rules before applying these workflows.

Use approved accounts only
Work only in the ChatGPT or Claude workspaces your organisation has approved. Consumer and business plans handle data differently, and your IT or information-security team decides which apply.
- OpenAI enterprise privacy (opens in a new tab)
- Anthropic: is my data used for model training? (opens in a new tab)
Keep confidential and personal information out
Do not paste client data, employee records, unpublished financials, credentials or anything under NDA into a tool that is not approved for it. Personal data also carries obligations under India’s Digital Personal Data Protection Act, 2023 — your legal or compliance team sets the rules. Workshop exercises use representative, non-sensitive material.
Expect hallucinations, and verify
Both assistants can produce fluent statements that are wrong, including invented sources and figures. Check decision-critical facts, numbers and citations against primary sources before use.
- OpenAI: does ChatGPT tell the truth? (opens in a new tab)
- Anthropic: incorrect or misleading responses (opens in a new tab)
Watch for bias; keep human judgement
Outputs can carry bias in wording, assumptions and examples. Review anything that affects people — hiring, performance, customers — with particular care.
A person owns the final decision
AI can draft and suggest. A named person remains accountable for anything that is sent, published or decided.
Check current vendor policies
Features, data controls and usage terms change. Review the current policies for the plans you use before rollout, and again when they change.
- OpenAI usage policies (opens in a new tab)
- Anthropic usage policy (opens in a new tab)

Delivery and customisation

How the course is tailored and delivered

The published curriculum is the starting point. Examples, role focus and module emphasis are adapted to your team through a short, structured process.

From first conversation to evaluation

Training-needs discussion
A conversation with L&D or the sponsoring manager about who will attend, the work to improve, and any constraints on tools or data.
Audience and workflow mapping
We list the roles attending and the recurring tasks to use in exercises, along with information that must stay out of scope.
Agenda confirmation
Module sequence, examples, format, dates and commercials are confirmed in a written proposal before delivery.
Delivery
Instructor-led sessions onsite at your office in India or live online, with guided practice throughout.
Agreed evaluation
How the programme is evaluated — for example participant feedback or a manager review of practice outputs — is agreed in advance. We do not promise a measured productivity or ROI figure.

Delivery formats

Onsite at your office
Best for: One team in one location
Instructor-led classroom delivery at the client’s workplace in India.
Private live online
Best for: Distributed teams
Interactive remote sessions with live demonstrations, exercises and discussion.
Custom team programme
Best for: Multiple roles or departments
Examples and practice tasks are selected around the agreed audience and priorities.

Training in action

Inside our instructor‑led training sessions

A selection of real classroom, computer-lab and team sessions delivered by Technovids.

Photo 1 of 10: Hands-on session
Photo 2 of 10: Group photo
Photo 3 of 10: Hands-on session
Photo 4 of 10: Group photo
Photo 5 of 10: Classroom session
Photo 6 of 10: Group photo
Photo 7 of 10: Computer-lab session
Photo 8 of 10: Group photo
Photo 9 of 10: Classroom session
Photo 10 of 10: Group photo

Course specification

For L&D and procurement teams

The published course parameters on one page. Final scope, dates and fees are confirmed in the written proposal.

Discuss your team’s requirements

ChatGPT & Claude for Business Teams — specification
Course	ChatGPT & Claude for Business Teams
Provider	Technovids Consulting Pvt. Ltd., Bengaluru
Audience	Non-technical business teams and their managers
Level	Beginner — no coding required
Duration	2 days · 16 hours of instruction and guided practice
Recommended cohort	15–25 participants per batch
Format and location	Onsite at your office anywhere in India, or private live online
Language	English
Prerequisites	Basic computer literacy; access to the AI accounts your organisation approves
Tools	ChatGPT (OpenAI) and Claude (Anthropic), using approved accounts
Customisation	Examples, role focus and module emphasis adapted after the training-needs discussion
Schedule and availability	Dates agreed with your team and confirmed in the written proposal
Certificate	If your organisation needs one, confirmed in the written proposal
Pricing approach	Custom quote based on format, location, cohort plan and customisation; the fee is confirmed in the written proposal

Instructor

Pankaj Rana

Co-founder & Lead Instructor, Technovids Consulting

Pankaj is a co-founder and the lead instructor at Technovids Consulting in Bengaluru. His published programme work spans AI, analytics and corporate learning design, with an emphasis on hands-on exercises that connect a technique to the participant’s real work.

The instructor for a specific cohort is confirmed in the written proposal.

Updated 20 September 2026

Organisations we have delivered training for

Practical training programmes delivered for learners, professionals and teams across AI, data, cloud, productivity and professional skills.

Participant voice

Participant experiences across workplace roles

What professionals found useful, practical and relevant to their day-to-day work.

Gauraw DeshmukhData Engineer · Capgemini
Technovids AI training was very practical and well structured. The sessions helped me understand how AI concepts can be applied in real data engineering and business workflows, instead of only learning theory. The trainer explained the topics clearly with relevant examples, which made the learning experience valuable and easy to follow.
PriyanshaSoftware Developer
The AI training from Technovids helped me gain a better understanding of Generative AI, prompt engineering, and practical AI use cases for software development. The course was clear, interactive, and focused on real-world applications. It gave me confidence to explore AI tools more effectively in my work.
Sidda RajuData Engineer
Technovids delivered the AI training in a very practical and industry-relevant way. As a data engineer, I found the examples and hands-on discussions useful for understanding how AI can improve data workflows, automation, and decision-making. The sessions were well planned and easy to understand.
Akshat KabraData Engineer
The AI training program by Technovids was insightful and professionally delivered. It covered important AI concepts in a simple and practical manner, with examples that connected well with data and analytics use cases. The sessions helped me build a stronger foundation in applying AI in real business scenarios.
MangeshSoftware Engineer · Siemens
Technovids conducted the AI training in a very effective and engaging manner. The sessions were practical, easy to follow, and focused on how AI can be used in real software engineering and business workflows. It was a valuable program for understanding the current direction of AI adoption in the industry.
ReshuSoftware Developer
Technovids AI training was a very useful learning experience. The course explained AI concepts in a practical way and showed how developers can use AI tools to improve productivity, problem-solving, and application development. The trainer's approach was simple, clear, and focused on industry use cases.

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Course FAQs

Common questions before planning this course

Answers about the published course. The written proposal records any agreed customisation, delivery details and commercials.

Do participants need coding or technical experience?

No. The course is designed for business professionals and needs only basic computer literacy, a laptop with a current browser and access to the AI tools agreed for the session.

How is this different from a prompt engineering course?

This course covers everyday business use of ChatGPT and Claude — writing, research, meetings, review and safe use — for non-technical teams. A prompt engineering course goes deeper into structured, repeatable prompting and suits people who already use these tools confidently.

Can the course be customised for our company or industry?

Yes. The agenda can be adapted to the roles, recurring tasks, terminology and risk constraints discussed during the training-needs discussion. Custom examples should use non-sensitive or properly approved material.

Do we need paid ChatGPT or Claude accounts?

The accounts, plans and features used are agreed with your organisation before delivery. Business plans and consumer plans handle data differently, so your IT or information-security team should decide which accounts participants use. The written proposal states whether any licences are part of the scope.

Is this available as live online training?

Yes. Technovids delivers the course onsite in India or as private live online training. Both formats include guided practice and instructor review.

What is the recommended group size?

The published format is designed for 15–25 participants. If your group is larger or needs separate role tracks, the cohort plan is agreed in the proposal.

How should participants handle confidential company data?

Participants should not enter confidential, personal or client information into an unapproved AI tool. Exercises use supplied or representative non-sensitive content, and your organisation remains responsible for its tool, data and review policies.

Do participants receive a certificate?

If your organisation needs completion certificates, raise it during the training-needs discussion. Whether certificates are included is confirmed in the written proposal.

How is the course priced?

Pricing is provided in a custom proposal because it depends on delivery format, location, cohort plan and the amount of customisation. No payment is taken through this page.

Bring this course to your team

Turn a training requirement into a clear course proposal

Share the audience, team size, delivery preference and the work you want to improve. Technovids will scope the programme and confirm the details in a written proposal.

Request a course proposal corporate@technovids.com

What is the ChatGPT & Claude for Business Teams course?

Is this the right course for you or your team?

The business problems this course addresses

What participants will be able to do

Give AI clearer instructions

Improve everyday writing

Research with a verification plan

Review outputs critically

Handle work data more safely

Build role-specific workflows

How each team applies it to real work

The AI assistants used in the workshop

ChatGPT

Claude

What the evidence says about AI at work

Professional writing with ChatGPT

Consulting tasks and the “jagged frontier”

Detailed curriculum

AI foundations and prompt design

Writing and communication workflows

Research, analysis and decision support

Safe use and a team prompt playbook

Exercises and practical outputs

Exercise 1: Rewrite a weak prompt

Exercise 2: Write for two audiences

Exercise 3: Plan research and verification

Exercise 4: Review an AI answer for unsupported claims

Exercise 5: Document a repeatable workflow

Exercise 6: Start a team prompt playbook

Verification, data handling and human judgement

Use approved accounts only

Keep confidential and personal information out

Expect hallucinations, and verify

Watch for bias; keep human judgement

A person owns the final decision

Check current vendor policies