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AI-generated bearded portrait of Parikshit Khanna for Copilot Leadership Training in Delhi NCR: Build a Team Adoption Plan

Copilot Leadership Training in Delhi NCR: Build a Team Adoption Plan

Sep 15
8 min read

Updated: 6 days ago

Parikshit Khanna answering questions at an AI training
Real photo from Parikshit Khanna's training sessions.

Quick answer

Updated 20 October 2026. For CEOs, CXOs, CFOs and promoters, Parikshit Khanna runs private and small-group AI training on ChatGPT, Claude, Microsoft 365 Copilot and Gemini, using the leader's own sanitised work, in person in Delhi NCR, onsite across India or online. See the full programme page: AI training for CEOs, CXOs and CFOs.




By Parikshit Khanna | Substantively updated 15 October 2026 | Practical training guide


For leaders who have already seen an AI demonstration, the next challenge is adoption. This workshop turns interest into a working plan: use cases, participant responsibilities, review standards and a way to measure whether Copilot is helping. It suits Delhi, Noida and Gurugram teams coordinating across several functions.


Parikshit Khanna leading a corporate AI training session
Real photo from Parikshit Khanna's training sessions.

Latest Copilot sessions and portfolio: October 2026

Fresh photos from Parikshit Khanna's sessions this month, with his updated portfolio. Every programme below can be run for teams in Delhi NCR, live online or onsite on request. Each Copilot session starts with a licence check: in app Copilot in Word, Excel, PowerPoint, Outlook and Teams needs a Microsoft 365 Copilot licence, while Copilot Chat is available more widely, so exercises are matched to what your team can actually use.

Session content is refreshed against Microsoft's monthly What's New in Microsoft 365 Copilot updates, so participants practise on features that are live in their tenant.

Corporate team practising generative AI prompts in a training room during a session by Parikshit Khanna
Onsite corporate AI training: every participant works on their own laptop and on their own tasks.
LBSIM Delhi reception display introducing Parikshit Khanna, AI Trainer, for the AI in Finance workshop in October 2026
LBSIM Delhi, 25 and 26 October 2026: AI in Finance, From Financial Analysis to Intelligent Decision Making, with Parikshit Khanna as guest speaker.
Students of the Indian Institute of Mass Communication, New Delhi, with AI trainer Parikshit Khanna after a workshop
With students at the Indian Institute of Mass Communication (IIMC), New Delhi, after an AI workshop, 2026.

Updated portfolio, October 2026

  • Microsoft 365 Copilot, Gurugram (October 2026): an onsite Generative AI and Microsoft 365 Copilot programme for an automotive components manufacturer, covering Copilot Chat and Copilot in Word, PowerPoint and Excel.

  • GMR Airports, Delhi Duty Free (September 2026): a Microsoft Copilot programme delivered onsite at IGI Airport, New Delhi.

  • Godrej Properties, INNOV8 (August and September 2026): an AI Enablement Sprint on Microsoft 365 Copilot Chat for about 155 participants, followed by one to one prototype support.

  • vivo India (September 2026): a practical AI workshop on ChatGPT and Copilot for the online business team in Gurugram.

  • Malabar Group, Dubai (July 2026): Phase 1, Microsoft 365 Copilot foundations for Finance, Accounts, Audit and MIS teams, 60 participants, delivered live online.

  • Princeton Academy (September 2026): AI for Accounts and Finance, an open programme at Crowne Plaza Okhla, New Delhi.

  • AI in Finance, LBSIM Delhi (25 and 26 October 2026): guest speaker for a two day workshop for 57 PGDM finance participants at Lal Bahadur Shastri Institute of Management.

  • IIMC New Delhi (September and October 2026): AI workshops for students on AI and autonomous workflows.

  • Credentials: TEDx speaker with the talk Redesigning Work with Artificial Intelligence (August 2026), Anthropic Claude Academy badges, and co author of two published books.

  • Reach: more than 3,50,000 professionals reached across Digital Training Jet programmes, delivered directly and with a specialist co trainer network.

A corporate team outside their office after an onsite AI training day with Parikshit Khanna
A corporate team after an onsite AI training day with Parikshit Khanna.
Employees testing AI tools on their own work during Parikshit Khanna's corporate session
Onsite corporate AI training: every participant works on their own laptop and on their own tasks.
LBSIM Delhi lobby screen with Parikshit Khanna's guest speaker announcement for the two day AI in Finance workshop
LBSIM Delhi, 25 and 26 October 2026: AI in Finance, From Financial Analysis to Intelligent Decision Making, with Parikshit Khanna as guest speaker.

To book a Copilot session like these, message Parikshit on WhatsApp at +91 99972 13177 or email pkhanna123@gmail.com.

At a glance


Programme focus

Who it helps

Delivery and next step

leadership adoption workshop

Professionals and teams in Delhi NCR

Onsite, online or hybrid by agreement

Learning outcome

A reviewed workflow participants can repeat

Corporate proposal or private booking


Parikshit Khanna presenting AI productivity tools to a corporate team
Real photo from Parikshit Khanna's training sessions.

A practical approach to leadership adoption workshop


Create a workflow inventory with frequency, current effort, information sensitivity and the person who approves the result. Select a small number of repeatable tasks. A mixed leadership group can then see where handoffs fail, for example when a sales brief lacks finance assumptions or meeting notes omit an operational owner. The adoption plan should resolve those gaps before scaling.


Parikshit Khanna leading AI training for the Pansari Group
Real session photo: AI training for the Pansari Group.

Check tool access before the workshop


Confirm the Microsoft work account, assigned licence, app access and permitted source files with your IT coordinator. Select exercises using the capabilities participants can actually open; prepare a supplied-file alternative when a connected workflow is unavailable.


Parikshit Khanna guiding a hands-on AI exercise for professionals
Real photo from Parikshit Khanna's training sessions.

Workshop modules and outputs


Module

What participants practise

Output to review

Discover

Map recurring team work

Prioritised workflow inventory

Practise

Run a cross-functional exercise

Reviewed draft and feedback

Standardise

Agree prompt and review templates

Team playbook

Measure

Compare effort and quality

Pilot scorecard


Parikshit Khanna speaking at a live AI workshop
Real photo from Parikshit Khanna's training sessions.

Try this exercise


Give each function the same fictional project brief. Ask teams to create their part of an operating plan, then combine the outputs and identify conflicts. Leaders should approve the final assumptions, responsibilities and due dates. Record where the AI saved effort and where review added time. This prevents an adoption plan from counting only generation speed.


Workshop participants with Parikshit Khanna during an AI session
Real photo from Parikshit Khanna's training sessions.

Prompt you can adapt


Use only the approved material I provide. Task: support leadership adoption workshop. Audience: [name the reader]. Output: [state the required format]. For each factual claim, give a source location. Separate evidence, assumptions and unresolved questions. Do not invent missing figures, dates or approvals. End with a checklist for the person reviewing the result.


Parikshit Khanna explaining an AI workflow on screen
Real photo from Parikshit Khanna's training sessions.

How to judge whether the workflow works


Keep the first draft and reviewed version. Record factual corrections, missing inputs, editing effort and whether the output met the task brief. Repeat on another safe example before treating it as a reusable workflow. Compare the complete effort with your previous process. Any productivity benefit should be measured in your own setting.


Corporate team in a generative AI training with Parikshit Khanna
Real photo from Parikshit Khanna's training sessions.

Turn workshop enthusiasm into a repeatable team routine


Adoption stalls when employees leave a Microsoft 365 Copilot workshop with a prompt collection but no agreement about when to use it. Build a small operating routine instead: choose a recurring task, prepare an approved source pack, run the prompt, review the result and record what needs improvement. A team champion supports the routine; the process owner remains responsible for the output.


For teams spanning Delhi, Noida, Gurugram and Greater Noida, a shared playbook should describe the work clearly enough for another office to repeat it. Include the source version, account experience used, expected format and reviewer role. Keep local approval differences visible instead of allowing each cohort to invent its own standard.


Parikshit Khanna answering questions at an AI training
Real photo from Parikshit Khanna's training sessions.

A department adoption matrix that makes ownership clear


Start with one row that has a clear source owner and frequent demand. Other departments can observe the review discussion before adopting the same method. This creates a shared standard while leaving room for different terminology and responsibilities.


Department task

Approved source

Output and reviewer

HR onboarding checklist

Current policy and role-specific joining steps

Checklist reviewed by the HR policy owner

Sales account preparation

Approved account notes and product information

Meeting brief reviewed by the account manager

Finance variance commentary

Reconciled sample report and calculation notes

Narrative reviewed by the finance controller

Operations handover

Process log and open-action register

Handover reviewed by the receiving supervisor


Parikshit Khanna giving his TEDx talk Redesigning Work with Artificial Intelligence
Real photo: TEDx talk at TEDxEicher School Faridabad Youth, 1 August 2026.

Build a task template employees can improve


Microsoft recommends a prompting structure containing goal, context, source and expectations, with follow-up requests used to refine the answer. Translate that into a workplace template: identify the task, intended reader, authorised documents, output structure and review checks. Show learners how to recognise when the source is insufficient before spending time polishing an answer.


For an onboarding exercise, provide a fictional employee profile and a dated policy extract. Ask for required actions, the responsible role and questions that the documents cannot answer. The reviewer checks whether optional benefits became promises or whether outdated steps slipped into the checklist. Save the corrected prompt together with the example and reviewer notes, rather than saving an untested instruction alone.


Parikshit Khanna presenting AI productivity tools to a corporate team
Real photo from Parikshit Khanna's training sessions.

Measure the complete workflow, then decide what to change


Use a simple observation sheet for the first few repetitions. Record preparation time, generation time, review time, material corrections and whether the recipient could use the output. Compare similar tasks rather than comparing a short AI draft with a complex manually prepared report. Small samples describe the pilot; they do not establish a company-wide productivity claim.


  • Continue when the reviewed output meets the agreed standard and the team can repeat the process.

  • Revise the source pack or template when the same omission recurs across several attempts.

  • Pause expansion when review capacity, access problems or unclear ownership prevent reliable delivery.


Participants practising AI prompts in a workshop led by Parikshit Khanna
Real photo from Parikshit Khanna's training sessions.

About Parikshit Khanna


Parikshit Khanna is a corporate AI trainer, TEDx speaker and founder of Digital Training Jet. His programmes cover practical prompting, document work and responsible use of Claude, ChatGPT, Gemini and Microsoft Copilot. His profile records 3,50,000+ professionals trained across programmes. His published portfolio includes enterprise workshops and academic sessions; review the profile for photographs and background. Training is independently offered and does not imply endorsement by the tool providers.





Parikshit Khanna at a Google Gemini workshop at IIT Guwahati
Real session photo: Google Gemini workshop at IIT Guwahati, November 2025.

Corporate and private booking options


Booking route

Suitable for

What to share

Corporate proposal

Teams, leadership groups and institutions

Company, roles, cohort size, location, dates and workflows

Private Topmate booking

Individual coaching and mentoring

Choose a current service, format and available slot


Corporate engagements are quoted on scope and logistics. Private service details, current prices and availability are shown on Topmate. Confirm materials, technical setup and follow-up support in the proposal or listing.







Parikshit Khanna speaking at a live AI workshop
Real photo from Parikshit Khanna's training sessions.

Book leadership AI training: contact Parikshit Khanna

Send your organisation name, roles, headcount, location, approved AI tools, preferred dates and two priority tasks. You will get a written proposal with scope, dates and fees. Please share anonymised examples only.


Channel

Details

Business email

Personal email

WhatsApp

Phone

+91 99972 13177 | +91 80762 50669

Proposal request

Private sessions




Parikshit Khanna leading an AI training session for professionals
Real photo from Parikshit Khanna's training sessions.

Training by tool


Parikshit Khanna presenting AI workflows to a corporate team
Real photo from Parikshit Khanna's training sessions.

Related programmes


Frequently asked questions


How should leaders measure adoption?


Track repeated use of approved workflows, output quality, rework and verified time saved against a baseline. Attendance and prompt counts measure activity but do not establish business impact.


Are specific features or results guaranteed?


No. Availability depends on the product plan, account, region, rollout and administrator configuration. Training outcomes depend on practice, source quality and human review. Confirm required capabilities before booking.


How is adoption training different from a Copilot demonstration?


A demonstration shows a capability. Adoption training establishes a repeatable task, its sources, the person reviewing the result and the feedback process that keeps the workflow useful.


Who should be a team champion?


Choose someone who understands the department's work, can explain examples patiently and has time to collect feedback. A champion coordinates learning; they do not replace the accountable approver.


What if some employees have different Copilot access?


Record those differences before assigning exercises. Use an approved common task where possible, and separate capability-specific practice so employees can complete the work available in their own accounts.


Should usage counts be the main success measure?


Usage helps identify participation, but it does not establish quality. Combine it with reviewed task completion, factual corrections, recipient usefulness and the total effort required to produce an acceptable output.


Workshop participants with Parikshit Khanna during an AI session
Real photo from Parikshit Khanna's training sessions.

Sources and editorial note


Product statements were checked against the official documentation linked above on 15 October 2026. Programme formats and exercises are training recommendations. Profile information is supplied by Parikshit Khanna and linked to his published portfolio. AI-assisted editorial imagery is clearly labelled.


Parikshit Khanna leading AI marketing training for Gaursons
Real session photo: AI marketing training for Gaursons (Gaur City), Greater Noida.

Related training guides





Corporate team in a generative AI training with Parikshit Khanna
Real photo from Parikshit Khanna's training sessions.

Official references for the updated guide



The exercises and planning templates are illustrative training recommendations. Product access can change; confirm the current plan and administrator settings when scoping a session. Updated 15 October 2026.


 
 
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