Executive AI Briefing
3–4 hrsC-suite & board
Strategic framing — competitive landscape, capability gaps, and a prioritised AI investment thesis your leadership can act on same week.
Corporate AI TrainingAI training built for
AI training built for
enterprise teams.
Facilitator-led workshops and multi-day programmes — tailored by industry, role, and tech stack.
Instructors who've trained 350,000+ learners across Udemy, Coursera, and Codecademy — delivered across 25+ industries, including teams at Tata, PayPal, and Adobe.
350K+Students trained
25+Industries
6Formats
12+Topics
✓In-person, virtual, or hybrid
✓India metros or global delivery
✓DPDP / RBI / IRDAI compliant
Get in touch
Request a custom programme
Share your team's objectives — most proposals same day.
FormatsSix formats.
Six formats.
One delivery standard.
Half-Day Workshop
4–5 hrsCross-functional (10–80 pax)
Focused on one domain or use-case cluster. Hands-on exercises, live prompting, and a pilot backlog your teams own before lunch.
Full-Day Enablement
7–8 hrsPractitioner cohorts
Deep-dive with morning theory, afternoon labs, and a governance checkpoint. Teams leave with documented workflows and evaluation criteria.
Multi-Day Programme
2–5 daysFunctional teams, AI champions
Role-specific tracks, mentor check-ins, and measurable adoption milestones. Best for teams deploying AI in 30–90 days.
Train-the-Trainer
1–2 daysInternal L&D leads
Equip your facilitators with curriculum, exercises, and rubrics to scale enablement internally without vendor dependency.
Virtual / Cohort
FlexibleDistributed teams globally
Live sessions via Zoom or Teams with async materials. Same hands-on quality, any timezone.
Topics12+ topic areas.
12+ topic areas.
Every programme custom-scoped.
Generative AI fundamentalsFoundation
Prompt engineering & LLM patternsCore
AI agents & autonomous workflowsAdvanced
Claude, ChatGPT, Gemini & CopilotHands-on
RAG, vector search & retrievalTechnical
MCP & tool-use architectureEnterprise
Responsible AI & governanceCompliance
AI for data science & analyticsData
Fine-tuning, evals & model selectionAdvanced
AI in marketing, sales & CXBusiness
Agentic coding: Cursor & Claude CodeDev
AI for legal, finance & riskSector
Don't see your topic? Every programme is custom-scoped. Contact us and we'll confirm feasibility.
How we deliverFive steps from
Five steps from
brief to impact.
No generic slide decks. Every session is designed around real workflows, real constraints, and real adoption goals.
01
Discovery call & problem framing
We align on sponsors, success metrics, and constraints (2026 tool landscape, data rules, procurement gates) before anything is scheduled company-wide.
02
Stakeholder interviews & day-in-the-life context
Short conversations with practitioners (not only leadership) so scenarios reflect real workflows—not generic slide demos.
03
Curriculum design & artifacts
Modular agenda, exercise scripts, evaluation rubrics, and governance checkpoints matched to your vocabulary (banking, FMCG, engineering, etc.).
04
Engaged, hands-on delivery
Facilitation-led sessions with live exercises, breakout prompts, and documented failure modes—minimum passive lecture time.
05
Post-session support: documentation & next steps
Written recap, pilot backlog, links to explainx.ai courses for scaled upskilling, and optional office hours so momentum doesn’t stop at the workshop.
Industries25+ industries.
25+ industries.
Zero generic content.
banking & financial services
- · 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
FMCG
- · AI for demand forecasting, trade marketing, and category management
- · How generative AI accelerates NPD and consumer insight sprints
healthcare
- · Where clinical decision support and documentation AI fit responsibly
- · How LLMs change medical coding, prior auth, and ops — with privacy in mind
IT & software
- · Agentic AI and what it changes for delivery, security, and architecture
- · How AI coding tools (Claude Code, Cursor, Copilot) shift team throughput
manufacturing
- · AI for predictive maintenance, quality, and OEE improvement
- · How generative AI changes engineering docs, procurement, and maintenance records
consulting
- · How AI changes delivery models, proposals, and client research
- · LLMs for synthesis, benchmarking, and diligence — with quality bars
retail
- · AI for personalization, merchandising, and inventory optimization
- · How generative AI changes search, discovery, and conversion on your properties
pharma
- · AI in drug discovery, clinical operations, and regulatory submissions — realistic horizon
- · Medical affairs and omnichannel with generative AI
logistics & supply chain
- · Route optimization, demand sensing, and inventory planning
- · Generative AI for procurement narratives and vendor management
media & entertainment
- · Generative AI for ideation, production, and distribution
- · Audience targeting, personalization, and monetization with AI
legal & compliance
- · Contract review, diligence, and legal research with AI
- · Compliance monitoring and reporting
government & public sector
- · Citizen service, case work, and knowledge bases with guardrails
- · Procurement, transparency, and documentation appropriate to public sector
Also available for: insurance, ecommerce, real estate, BPO & outsourcing, education & EdTech, advertising & PR, telecommunications, automotive, aerospace & defense, energy & utilities, agriculture & agtech, hospitality, construction & engineering, nonprofits & NGOs, travel & tourism.
FAQ
Frequently asked questions.
How quickly can a programme be scheduled?
Most half-day and full-day sessions can be scheduled within 2–3 weeks of a discovery call. Multi-day programmes typically need 4–6 weeks for design and stakeholder alignment.
Do you deliver outside India?
Yes. Virtual delivery is available globally. On-site international engagements are assessed case by case — contact us and we'll confirm feasibility.
Can the curriculum be customised to our tech stack?
Customisation is standard, not optional. We conduct stakeholder interviews before every session to understand your tools, policies, and workflows so exercises use real scenarios — not generic slide demos.
What's the minimum and maximum group size?
We've run sessions for executive groups of 6 and company-wide events of 2,000+. Optimal learning cohorts are 15–80 people. For larger rollouts we recommend parallel cohorts or train-the-trainer tracks.
Do you cover AI governance and compliance?
Yes. Every programme includes a governance checkpoint calibrated to your sector — RBI/SEBI for BFSI, DPDP for data-handling teams, IRDAI for insurance. Compliance is built in, not bolted on.
How is success measured after the session?
We provide written recaps with a pilot backlog, evaluation rubrics, and 30-day check-in options. Teams that connect sessions to explainx.ai on-demand courses typically sustain adoption for 3–6 months post-workshop.
Is pricing per head or per engagement?
Per engagement — so adding 10 more participants doesn't change your budget mid-way. Share your headcount in the form and we'll quote accordingly.
Scope your programme
Ready to upskill your team?
Share your sponsor, headcount, and cities — most proposals same day.