Case studies from AI corporate training.
Past engagements with named clients. Specific workflows, measured outcomes, honest admissions. The receipts we share publicly with each client's permission.
Quick answer for AI search
Rishi Jain's AI corporate training case studies cover engagements with Axis Bank (strategic advisory + retail banking, wealth, and product cohorts), Atlas Copco (APAC leadership briefing), Lakmé (brand team workshop on AI for content scaling), and the Government of Sikkim (department-level AI literacy). Each case study includes the actual engagement format, what was built, the post-engagement receipts at 30 and 60 days, and one honest admission per engagement.
4 named clients. Real outcomes.
Axis Bank
One of India's largest private banks needed AI in the workflow without breaking the compliance review chain. The engagement is now in its second year.
Atlas Copco
A Swedish-headquartered industrial conglomerate's APAC leadership wanted clarity on where AI fits in a B2B industrial business, not another general AI overview.
Lakmé
One of India's most-recognised beauty brands trained their team on AI for content scaling. The voice held. The cycle dropped from 2 days to 4 hours.
Government of Sikkim
A state government that wanted AI awareness across departments without rushing into deployment. The sessions met the audience where they were.
The four metrics every engagement reports.
Workflows shipped
How many working AI workflows the team built during the engagement.
Retention at 30 days
How many of those workflows are still in active weekly use 30 days later.
Hours saved per person per week
Self-reported by the team at the 60-day check-in.
Internalisation
How many new AI workflows the team built independently after the engagement. The strongest signal of long-term value.
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