explainx / corporate AI training · T11
DPDP-aligned AI & data governance training — banking▌
Connect India’s data protection expectations to AI pilots: documentation, DPIA thinking, and vendor risk — without stopping innovation.
Outcome: Banking teams know how to brief legal/compliance on AI initiatives with credible controls.
Prefer the short form first? Jump to contact — no deck required.
Prefer email? Open a pre-filled message in your mail app (yash@explainx.ai).
why this session
Innovation stalls when privacy is vague — this session gives concrete checklists.
what your team walks away with
- How AI is reshaping credit decisioning, fraud detection, and KYC in your markets
- Where generative AI fits in wealth management and customer advisory — with compliance guardrails
- Navigating RBI / SEBI expectations on AI in financial services without stalling pilots
- Privacy-by-design checkpoints for AI features touching customer data
program objectives (aligned curriculum)
These objectives map to the sample curriculum archetype we adapt for similar engagements—yours is customized after discovery.
- Map AI features to existing risk taxonomy (credit, market conduct, operational) with clear ownership.
- Design pilot scopes that satisfy model risk and IT security gates common in banks.
- Practice escalation when model drift or vendor incidents affect customer-facing journeys.
- Pair executive sponsors with practitioner exercises that mirror servicing and ops realities—not generic chat demos.
quick contact
book or scope this session
Rough dates, cities, and budget tier are enough to start—most replies same day. Fields marked * are required.
session details
Briefing + working session; paired with leadership AI strategy modules as needed.
sample agenda
- Landscape: GenAI in lending, fraud, wealth, and ops
- Use-case triage: credit, KYC, service, and risk analytics
- Compliance session: RBI/SEBI themes and documentation habits
- Hands-on: executive prompts and evaluation criteria for banking teams
- 90-day roadmap workshop: owners, metrics, and next steps
who this is for
- —Chief risk, compliance, and legal liaisons to AI programs
- —Data stewards in lending and service
- —Technology leaders rolling out copilots
why explainx.ai
- Workshops and briefings for leaders at Tata, PayPal, Adobe — adapted to your policies and data boundaries
- 160,000+ learners trained across live programs and courses; facilitator-led, not slide-only theory
- Connected to explainx.ai's agent skills catalog and playbooks so teams keep momentum after the session
what enterprise participants emphasize
“We finally left with owners on the pilot — not another awareness deck. Legal and product were in the same room agreeing on what ‘good’ output looks like.”
“The facilitator pushed on failure modes and documentation habits — exactly what our engineering leadership needed before we scale copilots.”
“Compared to vendor demos, this mapped to our channels and compliance vocabulary. We wired follow-on courses the same week.”
Facilitated by Yash Thakker — AI instructor & product leader based in Mumbai, 12+ years building AI products, 160,000+ students across 50+ courses, programs for enterprises including Tata, PayPal, and Fortune 500 teams. MBA (SIMSREE), B.Tech; founder of explainx.ai and product-led AI ventures. yash@explainx.ai
related courses (follow-through)
Step-by-step video on environments, SKILL.md authoring, publishing workflows, and MCP projects—the same curriculum cited in our agent skills and MCP blog guides.
DPDP Compliance for Indian Companies and LeadersNavigate India's Digital Personal Data Protection Act: Understand DPDP Compliance Requirements, Data Processing Obligations, and Practical Frameworks for Business Leaders
Generative AI for Leaders & Business ProfessionalsBecome an AI Powered Business Leader & Professional who is Equipped with knowledge about the Modern Machines
Fundamentals to build Human Centered AI (HCAI) SystemsBuild Human-Centered AI Systems: Design Principles, Bias and Fairness Frameworks, Transparency, and Responsible AI Deployment for Real-World Applications
related pages
faq
Can we customize the examples for our products and banking & data governance?
Yes. The working agenda is adapted to your workflows, risk posture, and tech stack. We use your vocabulary — e.g. credit and KYC for banking, trade and demand for FMCG — so leaders see applicability immediately.
Do you cover governance, data residency, and vendor evaluation?
We address practical governance: data handling, evaluation of outputs, human review, and how to brief legal/compliance. Format: DPDP-aligned AI training — interactive, with time for your leaders' questions.
What group size works best in India?
Most corporate runs are 8–24 leaders for discussion depth; larger cohorts use a mix of briefing plus breakouts. We confirm format after a short discovery call.
Is virtual delivery available across India and globally?
Yes — the same modules run in-person (e.g. Mumbai, Bengaluru, Delhi NCR) or live-virtual with timezone-friendly scheduling for distributed leadership teams.
What happens after the session?
Teams get alignment on priorities and owners; we point to curated courses on explainx.ai (generative AI for leaders, change management, domain-specific deep dives) as ongoing follow-through.
What do enterprises say about the facilitation style?
In debriefs, sponsors frequently cite practical scenarios over slide theater, cross-functional attendance that survives Q&A, and next-step clarity — themes that align with feedback patterns seen across 160,000+ learner engagements in live programs and courses.