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Price

Duration

By written proposal

Format agreed before booking

About the Course

Parikshit Khanna trains finance and FP&A teams in India to use approved AI tools for variance commentary, formula explanations and management reporting. Exercises use synthetic data, with a repeatable process for checking figures and separating evidence from hypotheses.


Key facts at a glance

  • Trainer: Parikshit Khanna, corporate AI trainer, TEDx speaker and founder of Digital Training Jet (since 2020).

  • Programme: AI Training for Finance Teams in India.

  • Format: onsite across India by written proposal, or live online in IST.

  • Fee: By written proposal.

  • Contact: WhatsApp +91 99972 13177 or parikshitkhanna@digitaltrainingjet.com.

  • Page updated: 10 November 2026.



Sample finance lab for management reporting


Finance lab workflow: use a sample workbook, draft variance commentary, then reconcile figures to the workbook.

  1. Use a sample workbook. Compare actuals against budget for a fictional business and flag the material variances.

  2. Draft commentary. Explain the confirmed changes and put uncertain causes in a separate section for investigation.

  3. Tie back to the numbers. The finance reviewer reconciles the figures against the workbook, checks the formula ranges and confirms the supporting notes before sharing the final commentary.


Microsoft 365 Copilot workshops for teams • Explore all corporate training programmes


Who this programme is for


CFO teams, finance managers, FP&A analysts, accountants, commercial finance teams and reporting professionals in India who prepare or explain business numbers.

Your practical takeaways


Ask precise analytical questions

State the reporting period, currency, business definition and comparison basis. Request calculations and assumptions separately from the written explanation so a reviewer can follow the logic.

Draft stronger management commentary

Translate checked figures into an understandable narrative. Distinguish observed movements, potential drivers and information still needed, while keeping decisions and sign-off with the finance owner.

Create a finance review checklist

Validate totals, formulas, units, signs and source references before using a draft. Document what was checked and when a qualified specialist must review the work.

Six programme modules and exercises


1. Choose a controlled finance use case

Select a recurring reporting or documentation task with clear inputs and ownership. Define the required output and which parts can be supported by AI without changing existing review responsibilities.

Practical exercise: Map a monthly management commentary task from source workbook to sign-off.

2. Prepare data and definitions

Use clear headers, consistent units and explicit period labels. Identify missing records, duplicate entries and ambiguous categories before asking AI to analyse the table or explain a movement.

Practical exercise: Clean a synthetic dataset and write its metric definitions.

3. Check formula and analysis assistance

Describe the business question and inspect any suggested formula or approach. Test the logic on known cases, check ranges and avoid relying on a fluent explanation of an incorrect result.

Practical exercise: Review a sample formula suggestion and independently calculate selected results.

4. Write evidence-based variance commentary

Compare actual and budget values using a stated definition. Ask for observed changes separately from hypotheses, then identify the business evidence needed to confirm each proposed driver.

Practical exercise: Prepare a variance table and a short commentary with open questions.

5. Improve reports and finance processes

Turn verified analysis into a management brief or presentation outline. Use approved process notes to draft a checklist, retaining control points, owners and supporting records in the final document.

Practical exercise: Create a management summary and a draft month-end process checklist.

6. Build a measurable team pilot

Agree permitted data, source versions and reviewer responsibilities. Track preparation time, rework and numerical errors found so adoption decisions reflect observed quality as well as convenience.

Practical exercise: Design a finance pilot with a baseline report and explicit acceptance criteria.

Workplace examples for Indian teams


FP&A analyst

Starting material: Synthetic monthly actual and budget data with defined reporting categories. Practice output: A variance summary and draft management commentary. Review: Recalculate material variances and confirm drivers with the responsible business owner.

Receivables team

Starting material: A synthetic ageing table with due dates, balances and agreed categories. Practice output: A review summary and draft follow-up priorities for the team. Review: Verify date logic, duplicates and disputes; approve any external communication separately.

Finance operations

Starting material: A fictional month-end process, owners and required supporting records. Practice output: A checklist, handover guide and list of ambiguous steps. Review: Confirm controls and responsibilities with the process owner before implementation.

Preparation and account access


Participants should understand their reporting task and basic spreadsheet operations. Bring laptops, approved tools and synthetic or anonymised data with clear labels. Share your team's experience and access before scoping. Tax, audit, investment and other professional conclusions remain subject to the appropriate qualified review; the exercises focus on workflow support.

Delivery across India


Live online in IST, or onsite by written proposal. Discuss Delhi NCR, Mumbai, Bengaluru, Hyderabad, Pune, Chennai, Kolkata, Ahmedabad, Jaipur or another Indian city. Dates, venue, participant numbers, duration, fees and travel are confirmed before booking. Corporate formats can focus on a three-hour foundation, a six-hour applied workshop or an agreed learning series; private sessions are scoped individually.

Selected client portfolio: completed corporate programmes


Updated 10 November 2026. Digital Training Jet programmes have reached more than 3,50,000 professionals.

Franklin Templeton India | November 2026 | Microsoft Copilot, ChatGPT, Gemini. Organisation wide Unlocking the Power of AI session, live on Microsoft Teams, with a practice workbook and prompt library.

BT E-Serv India (British Telecom) | August 2026 | Claude. Hybrid Claude workshop in Gurugram for Legal, Compliance and Company Secretariat teams.

Emami Ltd | October 2026 | Claude. Claude workshops for Legal & Compliance, Internal Audit, Finance & Accounts, and Finance & Commercial teams.

Godrej Properties | August to September 2026 | Microsoft Copilot. Microsoft Copilot enablement and prototype support for the INNOV8-NZ programme.

CP PLUS | October 2026 | Microsoft Copilot. AI and Microsoft Copilot workshops for CP PLUS teams in Noida.

INOX India / INOXCVA | August 2026 | Claude, ChatGPT. GenAI workshops for HR, production, marketing, IT and management teams, covering ChatGPT prompting and Claude for documents, data and dashboards.

RMZ Real Assets | July 2026 | Claude, ChatGPT, Microsoft Copilot. Two-day GenAI workshop covering leadership, revenue and leasing, asset management, finance and ESG applications with Claude, ChatGPT and Microsoft Copilot.

Delhi Duty Free / GMR Airports | September 2026 | Microsoft 365 Copilot Chat. Microsoft 365 Copilot Chat workshop for the Delhi Duty Free team, with practical prompts, document exercises and safe-use guidance.

Homeland Group | July 2026 | Claude. Practical Claude training for HR, administration, procurement, vendor management, planning and operations.

Rocket Learning | September 2026 | Claude. Working With Claude workshop for the Education and Content team, covering structured prompts, Projects and team planning.

Padmini VNA Mechatronics | October 2026 | Microsoft 365 Copilot. AI foundations, generative AI and Microsoft 365 Copilot workshop for Padmini VNA teams.

AON Consulting | June 2026 | Microsoft Copilot. GenAI and Microsoft Copilot training for the FP&A team, delivered through Imarticus.

About Parikshit Khanna


Parikshit Khanna is a corporate AI trainer, TEDx speaker and the founder of Digital Training Jet, established in 2020 and based in Greater Noida West, Delhi NCR. Digital Training Jet programmes have reached more than 3,50,000 professionals. He trains teams on Claude, ChatGPT, Microsoft 365 Copilot and Google Gemini, onsite and live online, and has completed Anthropic Academy courses including Claude 101 and Claude Cowork.

Frequently asked questions


Is this suitable for accountants and FP&A teams?

Yes. The agenda can focus on reporting, variance analysis or finance operations. Share the team's role and repeated tasks so the examples match their actual responsibilities.

Can AI prepare reliable calculations automatically?

AI assistance still needs independent checks. Participants practise validating formulas, ranges, totals, currency and assumptions rather than accepting generated figures or commentary at face value.

Will the programme cover GST or tax advice?

The core programme covers practical workflow support, not professional tax advice. Any tax-related exercise needs current authoritative sources and review by your qualified finance or tax specialist.

Do we need paid Copilot accounts?

Access depends on the agreed exercises. Confirm your available accounts first; the scope can focus on your approved assistant and spreadsheet workflow without assuming a particular subscription.

How can we scope finance AI training in India?

Share participant roles, spreadsheet level, current tools, reporting tasks and preferred dates. Include your city and data constraints to receive a tailored programme and prerequisites.

Request your tailored training proposal


Share your team roles, size, city, approved tools, two recurring tasks and preferred dates. Enquire at https://www.parikshitkhanna.com/contact or WhatsApp +91 99972 13177. Individual options are listed at https://topmate.io/parikshit_khanna. Product names belong to their respective owners. This is independent professional training. Graphics are AI-generated concept illustrations.



Original photographs from earlier teaching sessions


Original photographs from Parikshit’s wider teaching portfolio. Each caption identifies the tool or setting shown.


Parikshit Khanna at a wooden lectern with a ChatGPT logo projected behind him.
Parikshit Khanna presenting ChatGPT from a lecture-hall podium.

Parikshit Khanna standing with participants in a classroom after an Arvind Fashions AI training session.
Parikshit Khanna with participants in the Arvind Fashions AI training archive, 26 September 2025.


Learner feedback on Parikshit’s Topmate profile


Feedback from earlier sessions, published on Parikshit’s Topmate profile.


“Gained valuable practical tips along with complete knowledge of AI tools”

Deep Shikha · January 2025 · Public Topmate review


“Indeed it was enriching experience.”

Mohd Aarif · November 2024 · Public Topmate review


“It was a wonderful session”

Shalini Rajesh · February 2026 · Public Topmate review


Choose your learning format


For a company workshop, start with a discovery call or a tailored proposal. Individual sessions and self-paced resources have their own scope on Topmate. Check the current listing for availability, inclusions and pricing.



Optional self-paced resource: AI Productivity Starter Kit. This is a separate Topmate product; the listing defines its coverage.





Email parikshitkhanna@digitaltrainingjet.com or WhatsApp +91 99972 13177 with your team roles, group size, location, preferred dates and two recurring tasks.


Your Instructor

Parikshit Khanna

Parikshit Khanna is a corporate AI trainer, TEDx speaker and founder of Digital Training Jet, established in 2020. Digital Training Jet programmes have reached more than 3,50,000 professionals. Recent clients include Franklin Templeton India, Emami, Godrej Properties and RMZ.

Parikshit Khanna

AI Training for Finance Teams in India

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