AI Leadership Workshop
Nivara Home Finance

Purpose

Create a no-judgment space so every participant feels their questions are valid. Surface the diversity of AI experience in the room without embarrassment, and give the communication expert live data on individual dynamics to draw on later.

What Happens

• AI Confessions — anonymous sticky notes; honest reactions read aloud, unattributed
• AI Comfort Speedometer — physical 1–10 spectrum on the floor; each person places themselves and shares one sentence
• Show of hands — who uses ChatGPT, Gemini, voice AI? Normalises existing usage
• Communication expert observes and notes group dynamics for later segments

Purpose

Establish a shared vocabulary for AI — what it is, what it isn't, and where it already operates in Nivara's world. Move from abstract to concrete using real Indian lending examples. Build the foundation for Segment 3's hands-on work.

What Happens

• What AI is and isn't — 3 myths dispelled in plain language (5 min)
• AI in Indian lending — 4 real HFC/fintech examples: alternate data, GST proxies, collections prediction, document verification (15 min)
• Anatomy of an AI recommendation — one credit case: data in, output out, why human still decides (20 min)
• Would you trust this output? — pairs rate 3 AI outputs; build shared checklist (25 min)
• Open Q&A — invites the questions people were embarrassed to ask (10 min)

Purpose

Move from vocabulary to action. Each participant identifies 1–2 workflows in their function that are genuinely AI-ready, pressure-tests them with peers, and produces a one-paragraph brief they can hand to Nivara's tech team.

What Happens

• What makes a workflow AI-ready? — 4-part test: judgment-light, repetitive, data-rich, clear I/O (10 min)
• Individual workflow mapping — personal 3-column canvas (15 min)
• Peer pressure-test — groups of 2–3 stress-test each other's candidates (20 min)
• Live AI demo — Swapnil runs a real tool on one identified workflow (15 min)
• Write your AI brief — Workflow / AI's job / Human's job / Success metric (15 min)
• Share-out — 2–3 volunteers read briefs; structured group feedback (15 min)

Purpose

Ground the group's AI enthusiasm in Nivara's regulatory and ethical reality. Convert individual workflow learning into a collective strategic position. Ensure every leader leaves knowing what questions to ask vendors and what guardrails Nivara needs.

What Happens

• Where AI can go wrong — bias in credit, NHB explainability, data privacy, vendor lock-in (15 min)
• 5 questions to ask any vendor — group builds the list together on the whiteboard (15 min)
• Build / Buy / Wait / Never — 2×2 strategy framework; each AI brief is placed and debated (20 min)
• Nivara's AI Principles — group co-authors 3–5 non-negotiable principles (10 min)

Purpose

Convert the day's learning into personal commitments and clear organisational next steps. Close the psychological safety loop. Ensure every participant leaves with a specific action, not just inspiration.

What Happens

• One thing I will do differently — round the room; each person states ONE concrete, time-bound 30-day action (10 min)
• Energy capture — communication expert names the arc of the room honestly (2 min)
• Next steps — AI briefs to tech team, principles draft, vendor checklist — owners and dates set (3 min)