Best AI Training for BFSI, NBFC and Insurance Companies in Kolkata

Best AI Training for BFSI, NBFC and Insurance Companies in Kolkata: Lead Generation, Follow-up and CRM Productivity

Best AI Training for BFSI, NBFC and Insurance Companies in Kolkata

Kolkata understands the power of combining heritage with transformation.

The strength of the Howrah Bridge, the intellectual energy of College Street, the elegance of the Victoria Memorial, the entrepreneurial momentum of Salt Lake and New Town, and the emotional warmth of Durga Puja all reflect a city that respects its roots while embracing the future. Kolkata’s heritage also includes landmarks such as Jorasanko Thakurbari and the Indian Museum, connecting enterprise, education, creativity and culture in a uniquely Bengali way.

Today, banks, NBFCs, insurance companies, wealth-management firms, fintech businesses and financial advisory organisations across Kolkata and West Bengal face a defining question:

Will artificial intelligence remain an experimental tool, or will it become a secure, measurable and enterprise-ready productivity system?

AI is no longer optional. It is becoming a decisive advantage in lead generation, customer experience, fraud-risk analysis, documentation, compliance support, claims processing, wealth management, regulatory reporting and operational efficiency.

The organisations that learn to use AI responsibly will move faster without compromising trust. Those that depend on unstructured experimentation may expose themselves to inaccurate outputs, data leakage, regulatory concerns and reputational risk.

This is why organisations need practical, BFSI-specific and security-focused AI training, rather than a generic demonstration of prompts.

Why BFSI, NBFC and Insurance Teams Need Practical AI Training

A banking relationship manager, an NBFC credit team, an insurance underwriter, a compliance officer and a branch operations manager cannot use AI in the same way as a casual consumer.

Financial institutions work with highly sensitive information, including:

• Personally identifiable information

• KYC and identity documents

• Customer financial records

• Loan applications and credit histories

• Insurance policies and claims

• Medical information connected with health insurance

• Investment and portfolio details

• Internal risk reports

• Regulatory communications

• Fraud alerts and suspicious-transaction records

The Reserve Bank of India permits appropriate AI technology to support robust Video-based Customer Identification Processes, while making it clear that the regulated entity retains ultimate responsibility for customer identification.

For insurers, IRDAI issued revised Information and Cybersecurity Guidelines in April 2026. These guidelines establish minimum standards and governance mechanisms for insurers, brokers, corporate agents, web aggregators, TPAs, insurance repositories and other regulated entities.

India’s Digital Personal Data Protection Rules, 2025 are also being implemented through a phased commencement framework. They reinforce the need for clear notices, informed consent, defined processing purposes and accountable personal-data practices.

Therefore, responsible BFSI AI adoption must begin with one principle:

Data Security Before AI Productivity

Parikshit Khanna’s BFSI training places data security at the centre of every exercise.

Participants are taught not to copy customer records, Aadhaar details, PAN information, bank statements, medical documents, passwords, confidential contracts or identifiable financial data into unapproved public AI tools.

Instead, the training demonstrates a controlled enterprise framework based on:

1. Data classification: Identifying public, internal, confidential, restricted and regulated information.

2. Data minimisation: Using only the minimum information necessary for an approved AI task.

3. Redaction and anonymisation: Removing names, identification numbers, account details and personal attributes before processing.

4. Approved enterprise accounts: Using organisation-approved versions of Microsoft 365 Copilot, ChatGPT Enterprise or Business, Claude Enterprise, Gemini for Workspace or private AI systems.

5. Role-based access: Restricting workflows according to employee responsibilities and business requirements.

6. Audit trails: Recording prompts, data sources, approvals, modifications and final actions.

7. Human oversight: Ensuring that AI supports employees but does not independently approve loans, reject claims, flag customers or issue regulated advice.

8. Retention controls: Defining how long prompts, outputs, transcripts and generated documents may be retained.

9. Vendor assessment: Examining model providers, subprocessors, data residency, contractual protections and security documentation.

10. Incident response: Establishing a clear escalation process for incorrect disclosures, prompt injection, suspicious activity or possible data leakage.

The objective is not merely to teach employees how to produce faster outputs. It is to help institutions develop secure, explainable and governable AI-enabled workflows.

AI Training for Lead Generation in BFSI

BFSI lead generation must balance commercial growth with consent, suitability, customer trust and responsible communication.

In Parikshit Khanna’s workshops, sales and marketing teams learn how AI can support:

• Customer-persona development using anonymised market data

• Campaign planning for loans, insurance, investments and financial services

• Regional and multilingual content creation

• Email and WhatsApp campaign drafting

• Landing-page content

• Lead-magnet creation

• Seminar and webinar promotion

• Corporate and SME outreach

• Referral-campaign planning

• Customer education content

• Branch-level campaign calendars

• LinkedIn thought-leadership content

• Frequently asked question libraries

• Lead-scoring frameworks based on approved attributes

• CRM-ready lead summaries

The training does not encourage indiscriminate scraping, misleading financial claims or automated spam.

Instead, teams learn to build permission-based, transparent and auditable lead-generation processes that protect the organisation’s reputation.

Example: AI-Assisted NBFC Lead Workflow

An NBFC can create a structured workflow in which:

• A prospect submits an enquiry through an approved form.

• The CRM captures the source, product interest and consent status.

• AI summarises the enquiry without changing the original information.

• The lead is routed to the appropriate relationship manager.

• A personalised but compliant response is drafted.

• The employee reviews and approves the communication.

• The next follow-up date is recorded.

• Management receives an aggregated pipeline report without exposing unnecessary customer data.

This creates speed without removing accountability.

AI-Powered Follow-up and CRM Productivity

Many BFSI organisations do not lose opportunities because of weak products. They lose them because follow-ups are inconsistent, meeting notes are incomplete and CRM records are not updated properly.

AI can help relationship managers, branch teams, sales leaders and customer-service departments:

• Summarise approved meeting transcripts

• Extract clear action points

• Assign proposed owners for review

• Identify pending documents

• Draft follow-up emails

• Generate call summaries

• Prepare renewal reminders

• Create next-step recommendations

• Convert unstructured notes into CRM fields

• Produce escalation summaries

• Draft internal handover notes

• Categorise customer objections

• Track unresolved service requests

• Generate daily and weekly follow-up plans

• Prepare manager-ready pipeline summaries

A human employee must review the output before it is saved, assigned or communicated.

From Meeting Transcript to Action Plan

A secure AI workflow can convert an approved meeting transcript into:

Output	Practical Use
Meeting summary	Quick review for managers and relationship teams
Customer requirements	Structured record of stated needs
Pending documents	Follow-up checklist
Action items	Clear next steps
Proposed owners	Responsibility allocation for approval
Deadlines	CRM follow-up scheduling
Draft email	Faster customer communication
Risk notes	Items requiring compliance or managerial review
CRM entry	Structured, searchable institutional memory

The result is better continuity, faster follow-up and fewer missed commitments.

Accelerating Time-to-Market for New Financial Products

Launching a new lending product, insurance plan, wealth offering, digital service or customer portal requires rapid coordination between product, sales, operations, technology, legal, compliance, risk and marketing teams.

AI can reduce time spent on repetitive synthesis and documentation.

Market-Trend Synthesis

Microsoft 365 Copilot, ChatGPT, Claude and other approved enterprise tools can help teams analyse authorised industry reports, customer-behaviour data and competitive intelligence to draft:

• Market-entry briefs

• Customer-segment summaries

• Competitor-comparison frameworks

• Product-positioning options

• Distribution-channel plans

• Risk-question checklists

• Executive briefing notes

• Regional launch strategies

• Sales enablement documents

• Board-presentation outlines

The final analysis must be verified against original sources and reviewed by relevant subject-matter experts.

Technical Documentation

AI can help engineers, product managers and technology teams convert raw specifications, code explanations, process maps and architectural notes into:

• User manuals

• Product documentation

• Standard operating procedures

• API documentation drafts

• Internal process guides

• Release notes

• Implementation checklists

• Troubleshooting documents

• Employee training material

• Customer-facing help articles

It can also transform approved internal technical resolutions and FAQs into polished help-centre articles, subject to security, legal and product-owner review.

Faster Cross-Functional Coordination

After product-development or launch meetings, AI can assist in:

• Extracting action points

• Preparing responsibility matrices

• Drafting follow-up communications

• Identifying dependencies

• Creating testing checklists

• Summarising unresolved decisions

• Preparing launch-readiness reports

• Converting meetings into project-management tasks

This helps institutions reduce administrative delays while maintaining clear ownership.

Practical AI Use Cases for Banks

Banking teams can explore controlled applications such as:

• Customer-email drafting

• Branch communication templates

• KYC document checklists

• Policy and circular summarisation

• Internal knowledge assistants

• Credit-memo structuring

• Loan-application summaries

• Relationship-manager preparation

• Customer-service response libraries

• Fraud-investigation summaries

• Reconciliation explanations

• Audit-document preparation

• Regulatory-report drafting support

• Wealth-review meeting preparation

• Product-comparison sheets

• Employee learning assistants

AI-generated outputs must remain advisory until reviewed by authorised banking personnel.

Practical AI Use Cases for NBFCs

NBFC teams can use approved AI systems to support:

• Lead qualification

• Loan-product education

• Application completeness checks

• Credit-note drafting

• Document follow-up

• Collection-call preparation

• Delinquency communication templates

• Dealer and channel-partner communication

• Portfolio-review summaries

• Risk-report structuring

• Field-team reporting

• Management information reports

• Customer-onboarding guides

• Internal policy search

• Branch-performance summaries

AI should not autonomously determine creditworthiness, approve sanctions or initiate adverse customer action.

Practical AI Use Cases for Insurance Companies

Insurance organisations can explore:

• Policy-document summarisation

• Proposal-form assistance

• Claims-document checklists

• Underwriting-note structuring

• Renewal communication

• Customer-service drafting

• Agent training

• Broker enablement

• Product-comparison explanations

• Claims-status communication

• Complaint categorisation

• Fraud-investigation summaries

• Internal policy search

• Medical-document summarisation using approved controls

• Customer-information-sheet drafting

• Management dashboards

• Knowledge-base creation

IRDAI’s 2026 cybersecurity requirements make governance, minimum security standards and organisational controls central to insurance-sector AI adoption.

ChatGPT, Custom GPTs, Claude and Microsoft 365 Copilot

Parikshit Khanna’s training is not restricted to one AI platform.

ChatGPT

ChatGPT can support approved tasks involving:

• Report drafting

• Customer-communication templates

• Data interpretation

• Document summarisation

• Scenario development

• Research structuring

• Presentation preparation

• Process documentation

• Learning and role-play exercises

Custom GPTs

Subject to the organisation’s security and licensing environment, Custom GPTs can be designed for:

• Internal policy navigation

• Product knowledge

• Employee onboarding

• Compliance-question routing

• Sales coaching

• Claims-document checklists

• Branch-support assistance

• Approved communication templates

A Custom GPT should not be treated as a substitute for the institution’s core banking platform, CRM, legal department or compliance function.

Claude

Claude is useful for long-document analysis, structured reasoning, policy comparison, documentation and detailed report development.

Microsoft 365 Copilot now provides multi-model capabilities involving models from OpenAI and Anthropic in supported experiences. Claude model availability can depend on Microsoft 365 features, licensing, organisational settings and administrator approval.

Microsoft 365 Copilot

Copilot can be used within approved Microsoft 365 environments to support work involving:

• Word documents

• Excel analysis

• PowerPoint development

• Outlook communication

• Teams meeting summaries

• Organisational knowledge

• Research workflows

• Multi-step collaborative tasks

Microsoft describes Copilot as offering enterprise-focused multi-model choices from OpenAI and Anthropic, along with administrative, compliance and audit controls.

ChatGPT remains a separate OpenAI product. Therefore, the training explains how ChatGPT can be used alongside Microsoft 365 Copilot, while supported OpenAI models operate within Microsoft’s Copilot architecture.

Secure Agentic AI and n8n Automations

Advanced programmes can include carefully governed agentic and no-code automation concepts.

Possible workflows include:

• Approved lead capture to CRM

• Follow-up scheduling

• Document-reminder workflows

• Renewal notifications

• Complaint-routing support

• Meeting-summary processing

• Internal approval reminders

• Daily management reports

• Portfolio-monitoring alerts

• Reconciliation-task coordination

• Customer-service ticket classification

• Product-launch coordination

• Compliance-review queues

Every automation should include access controls, logging, exception handling, human approval and a defined shutdown process.

For regulated institutions, “fully autonomous” should never mean “unaccountable”.

Power BI for BFSI Decision-Making

Power BI training can cover:

• Lead-conversion dashboards

• Branch-performance analysis

• Portfolio monitoring

• Collection trends

• Claims dashboards

• Renewal pipelines

• Customer-service indicators

• Product-level performance

• Risk segmentation

• Regulatory-reporting support

• Executive summaries

• Sales-funnel visibility

The programme focuses on transforming approved organisational data into clear, decision-ready dashboards without exposing restricted information.

Why Parikshit Khanna Is the #1 Choice for CEOs, CXOs, VPs and Banking Professionals

Senior leaders do not need another presentation explaining that AI is important.

They need a trainer who can connect AI with revenue, productivity, governance, security, employee adoption and implementation.

Parikshit Khanna, Founder of Digital Training Jet, delivers practical programmes covering:

• Generative AI strategy

• ChatGPT

• Custom GPTs

• Claude

• Gemini

• Microsoft 365 Copilot

• Prompt engineering

• Agentic AI

• n8n automation

• Power BI

• AI for leadership

• AI governance

• Data-security practices

• Sales and CRM productivity

• Documentation automation

• AI for regulated sectors

His published professional material states that he has trained more than 120,000 professionals through corporate, institutional, government and international engagements.

The First Trainer to Deliver Dedicated AI-in-Healthcare Sessions at IIT Delhi

Parikshit Khanna’s published professional record identifies him as the first trainer to deliver dedicated AI-in-healthcare sessions at IIT Delhi through World Technocon, including programmes on “ChatGPT for Healthcare Professionals” and “Generative AI with 23+ Tools.”

This achievement is particularly relevant to BFSI and insurance because healthcare AI requires the same disciplines demanded by regulated financial environments:

• Sensitive-data handling

• Accuracy

• Explainability

• Ethical decision support

• Human validation

• Risk awareness

• Documentation

• Privacy

• Governance

A Viksit Bharat and Sovereign-AI Vision

Parikshit’s approach supports a Viksit Bharat in which Indian organisations develop their own AI capabilities rather than becoming dependent on uncontrolled tools and imported workflows.

In practical terms, Sovereign AI readiness means:

• Understanding where organisational data is processed

• Preferring approved or India-hosted infrastructure where required

• Evaluating on-premise and private-cloud options

• Protecting Indian customer data

• Building internal AI capabilities

• Creating organisation-owned prompt libraries

• Reducing uncontrolled shadow-AI usage

• Establishing responsible vendor governance

• Maintaining human accountability

• Aligning implementation with Indian laws and sectoral regulations

Sovereign AI is not achieved by making a slogan. It is achieved by creating secure institutional capability.

Comprehensive Client and Institutional Portfolio

The following portfolio combines Parikshit Khanna’s published client information and engagement records supplied for this professional profile. Engagements may include corporate workshops, institutional sessions, keynote programmes, consulting, faculty programmes, collaborations or sector-specific training assignments.

Banking, Finance, NBFC, Insurance, Wealth and Professional Services

• Kae Capital, Mumbai

• AILifeBot

• Tata Mutual Fund

• AON Consulting

• Decyphr

• Chinmay Finlease, Ahmedabad

• Mastertrust Finance

• Edelweiss

• Niva Bupa Health Insurance

• Grant Thornton

• OneGuardian

• Bettering Results

• Bar & Bench ecosystem programmes

His published portfolio highlights Kae Capital, Tata Mutual Fund, AON Consulting, Decyphr and Chinmay Finlease as part of his finance, wealth, underwriting and related experience.

Real Estate and Infrastructure

• CITY HOMES GROUP

• Gaur Sons

• Gaursons India

• County Group

• CREDAI Chhattisgarh

• Designer Home Solution

• Designer Home & Landscapes, Kolkata

• Homeland Group

• Imperial Group

• International real-estate client engagements

Published portfolio pages identify CITY HOMES GROUP, Gaur Sons, County Group and CREDAI Chhattisgarh as part of Parikshit’s real-estate and related enterprise experience.

Healthcare, Hospitals, Medical Associations and Pharmaceuticals

• AIIMS Delhi

• CARE Hospitals, Hyderabad

• Fortis

• Santevita Hospital

• Cloud 9 Hospital

• Dr Agarwal’s Eye Hospital

• Surat Medical Consultants’ Association

• Surat Medical Association

• IMA Janakpuri

• IAP-CMIC, Indian Academy of Pediatrics

• Hetero Pharma

• Hetero Pharma CDMA Team

• NIPUNA Learning Academy

• Naprod Life Sciences

• USV Pharma

• Wockhardt

• Sudeep Group, Vadodara

• Sudeep Pharma Limited

• IIT Delhi healthcare cohorts

• IIT Hyderabad healthcare participants

His published healthcare portfolio includes CARE Hospitals, Cloud 9, Fortis, Hetero Pharma, IAP-CMIC, Sudeep Pharma and other medical-sector engagements.

Manufacturing, Energy, Engineering and Industrial Clients

• Tata Power

• Tata Power Skill Development Institute, Mulshi

• LG India

• Sanden Vikas Group

• Sheela Foam

• Bonfiglioli Transmission India

• Talwandi Sabo Power Limited, Vedanta Group

• Sangam Group, Bhilwara

• Nagarjun Textiles

• Vega Industries, Noida

• Phoenix Contact India, Faridabad

• Anubhav Apparels

• Arvind Lifestyle Brands

• Arvind Fashions

• Polycab

• Tinna Rubber and Infrastructure

• Wahluft

• Lucrative Impex

• Sudeep Group, Vadodara

• Sudeep Pharma

• Hetero Pharma

• ZAFCO

• Pansari Group

• VULKAN Technologies

• Hero Future Energies

• Corporate Infotech Private Limited

• Emami Limited

Published portfolio material identifies Tata Power, Bonfiglioli, TSPL, Sangam Group, Vega Industries, Phoenix Contact, Polycab, Arvind Fashions and other industrial organisations in the manufacturing and operations category.

Government, Public Institutions and Defence-Linked Engagements

• Indian Army

• Prasar Bharati

• National Academy of Broadcasting and Multimedia

• All India Radio and Doordarshan ecosystem

• AIIMS Delhi

• IIT Delhi

• IIT Hyderabad

• IIT Guwahati

• IIT Roorkee

• Public-sector and government-institution cohorts

Parikshit’s published enterprise profile references Prasar Bharati and Indian Army engagements alongside public educational institutions.

Education and Institutional Clients

• IIT Delhi

• IIT Hyderabad

• IIT Guwahati

• IIT Roorkee

• BITS Pilani

• IIM Bangalore NSRCEL

• Goldman Sachs 10,000 Women Programme

• IILM College, Jaipur

• Thapar University

• Chitkara College of Sales and Marketing, Delhi

• Chitkara College of Sales and Marketing, Zirakpur

• Chitkara University, Rajpura

• Chitkara University CDOE

• Chitkara faculty-development cohorts

• SOIL School of Business Design, Manesar

• Masters’ Union, Gurugram

• GL Bajaj Institute of Management and Research

• Christ University NCR

• FIIB

• ITS Mohan Nagar

• IIMT University

• Apeejay School of Management

• Princeton Academy

• Amity University Online

• Bettering Results

• Rainbow School

• Internshala

• Saras AI Institute

• Analytics Vidhya

Published portfolio information highlights IITs, BITS Pilani, IIM Bangalore NSRCEL, IILM Jaipur, Chitkara, Thapar, SOIL and Masters’ Union.

Travel, Tourism and Hospitality

• ATTOI Annual Convention 2025, Wayanad

• TBO, Aerocity, Delhi

• The Travel Nexus

• Taj Amer, Jaipur programme

• Tourism entrepreneurs and travel-professional communities

At the ATTOI Annual Convention in Wayanad, Parikshit delivered a keynote focused on improving marketing efficiency with ChatGPT. His published portfolio also references TBO Aerocity and The Travel Nexus at Taj Amer Jaipur.

Technology, Logistics, Retail, Media and Enterprise Services

• METRO Global Solution Center

• Team Computers

• RMSI

• Yusen Logistics

• Landmark Group

• Shemaroo Entertainment

• Innovations Global

• Kubrii

• Talview

• AIWF Technologies

• AILABS

• Data-Core, Salt Lake, Kolkata

• IMECO India, Salt Lake, Kolkata

• BeTheBee

• Corporate Infotech Private Limited

• Hitbullseye

• Virtueevarsity

• Micros Digital

• Designer Home Solution, Kolkata

• Malabar-related training portfolio

• Orchids AI workshop cohorts

Why This Experience Matters to BFSI Leaders

The value of a multi-sector trainer is not merely the length of the client list.

It is the ability to transfer high-value practices between industries:

• Healthcare contributes lessons in privacy and accuracy.

• Manufacturing contributes process discipline and documentation.

• Real estate contributes lead generation and CRM follow-up.

• Tourism contributes customer experience and multilingual marketing.

• Legal training contributes contract and compliance awareness.

• Government training contributes accountability and public-interest thinking.

• Technology engagements contribute automation and system integration.

• Pharma contributes controlled documentation and approval workflows.

This cross-sector understanding helps BFSI teams avoid narrow, tool-only training.

Comparison: Parikshit Khanna Versus Generic AI Training

Evaluation Area	Parikshit Khanna and Digital Training Jet	Generic AI Training Approach
BFSI relevance	Banking, finance, NBFC, insurance, underwriting, FP&A, CRM and compliance use cases	Broad demonstrations that may not reflect regulated work
Data security	Data classification, redaction, approved accounts, access controls and human review	Security may be addressed only at a conceptual level
Delivery method	Live exercises, departmental workflows and implementation templates	Primarily lectures or tool demonstrations
Model coverage	ChatGPT, Custom GPTs, Claude, Gemini, Microsoft 365 Copilot, n8n and Power BI	Often limited to one AI tool
Leadership value	CEO, CXO, VP and departmental transformation frameworks	Mainly individual productivity tips
Automation	Governed CRM, reporting, documentation and follow-up workflows	Isolated prompts without process integration
Sector versatility	BFSI, healthcare, pharma, manufacturing, tourism, government, defence-linked, education and real estate	Usually concentrated in fewer business functions
Localisation	India-specific privacy, enterprise security and Sovereign-AI awareness	Frequently based on generic international examples
Deliverables	Prompt libraries, risk checklists, workflow maps and implementation roadmaps	Limited post-session deployment material
Outcome orientation	Measurable productivity and adoption planning	General awareness without defined implementation KPIs

Training Coverage Across Kolkata and West Bengal

Corporate programmes can be customised for teams across:

Kolkata Metropolitan Region: Kolkata, Salt Lake, Bidhannagar, New Town, Rajarhat, Howrah, Bally, Belur, Dum Dum, Baranagar, Barrackpore, Barasat, Madhyamgram, New Barrackpore, Naihati, Kanchrapara, Kalyani, Serampore, Uttarpara, Rishra, Konnagar, Chandannagar, Chinsurah, Dankuni and surrounding business centres.

Major West Bengal cities and industrial centres: Durgapur, Asansol, Raniganj, Bardhaman, Haldia, Kharagpur, Medinipur, Tamluk, Siliguri, Jalpaiguri, Malda, Berhampore, Krishnanagar, Bolpur, Bankura, Purulia, Cooch Behar, Raiganj and Balurghat.

West Bengal’s official urban-development resources identify Kolkata, Howrah, Bidhannagar, Chandannagore, Durgapur, Asansol and Siliguri as key municipal-corporation centres, with separate development authorities supporting Kolkata, Haldia, Siliguri-Jalpaiguri and the Asansol-Durgapur region.

Training is also available online for geographically distributed branches and international teams.

Customised Training Formats

Organisations can choose from:

• CEO and CXO AI roundtables

• Half-day executive workshops

• Full-day corporate training

• Two-day GenAI masterclasses

• Department-specific programmes

• Branch-manager training

• Insurance agent and broker enablement

• Relationship-manager productivity workshops

• Credit and risk-team programmes

• Compliance and governance workshops

• Microsoft 365 Copilot adoption programmes

• ChatGPT and Custom GPT workshops

• Claude enterprise productivity programmes

• n8n automation labs

• Power BI dashboard sessions

• Thirty-day implementation roadmaps

• Multi-month enterprise capability-building programmes

Expected Business Outcomes

Depending on the programme scope, participating organisations can work towards:

• Faster lead response

• Better CRM completion

• Consistent follow-up

• Reduced documentation time

• Faster management reporting

• Improved internal knowledge access

• Better meeting-to-action conversion

• More effective product-launch coordination

• Secure employee AI adoption

• Reduced shadow-AI risk

• Stronger prompt and output governance

• Better multilingual communication

• Greater employee confidence

• Defined departmental AI use cases

• A practical implementation roadmap

No responsible trainer should guarantee financial returns, regulatory approval or error-free AI outputs. The objective is to create skilled teams, controlled processes and measurable productivity improvements.

Ready to Transform Your BFSI Team?

AI will not replace the trust on which banking, finance and insurance are built.

It can, however, help responsible professionals serve customers faster, understand information more clearly, document decisions more consistently and spend more time on relationships that matter.

Whether you are:

• A CEO shaping enterprise transformation

• A CXO overseeing risk, compliance or operations

• A VP managing sales or customer experience

• A branch head improving productivity

• A relationship manager handling valuable customers

• An NBFC leader scaling loan operations

• An insurance professional managing underwriting or claims

• A technology team building secure workflows

• A compliance leader protecting institutional trust

Parikshit Khanna can design a practical AI programme around your organisation’s workflows, data-security requirements and strategic objectives.

Contact Parikshit Khanna

Parikshit Khanna Founder, Digital Training JetAI Trainer and Corporate Enablement Specialist

Email: parikshitkhanna@digitaltrainingjet.com

Phone: +91 9997213177 / +91 8076250669

Website: ParikshitKhanna.com | Digital Training Jet

X: @ParikshitK_

Available for: Kolkata, West Bengal, Eastern India, pan-India and international corporate programmes.

The future of Indian banking belongs to institutions that combine AI capability with human judgement, customer trust and uncompromising data security.

Parikshit Khanna — empowering India’s financial leaders with practical, secure and responsible AI for a Viksit Bharat.

Frequently Asked Questions

Who provides practical AI training for BFSI companies in Kolkata?

Parikshit Khanna, Founder of Digital Training Jet, provides customised programmes for banks, NBFCs, insurance companies, wealth-management firms and financial professionals.

Does the programme cover data security?

Yes. Data classification, redaction, approved enterprise accounts, access controls, human oversight, auditability and responsible AI governance are central components.

Are ChatGPT, Claude and Microsoft 365 Copilot included?

Programmes can cover ChatGPT, Custom GPTs, Claude, Gemini and Microsoft 365 Copilot according to the organisation’s approved technology environment.

Can the training be customised for an NBFC?

Yes. The content can address lead management, document follow-up, application summaries, credit-note drafting, collection communication, MIS reporting and controlled workflow automation.

Is insurance-specific AI training available?

Yes. Programmes can include policy summarisation, agent enablement, claims-document checklists, underwriting support, renewal communication, customer service and cybersecurity governance.

Is offline training available in Kolkata?

Yes. Offline, online and hybrid formats can be designed for organisations in Kolkata, Salt Lake, New Town, Howrah and other West Bengal locations.

Does the training provide legal or regulatory advice?

No. The programme provides AI capability-building and governance awareness. Organisations should obtain formal legal, regulatory, cybersecurity and compliance advice from authorised professionals.