SECTION 1: Welcome to the AI Moment (5 mins)
Slide 1: Title Slide
"AI: The Assistant You Didn't Know You Already Use" Subtitle: Making Sense of AI for Everyday Work Slide 2: Icebreaker
Prompt: "Raise your hand if you've used ChatGPT, Google Maps, Zomato, or Instagram Reels this week." Visual: Icons of common apps Slide 3: Agenda
Where is it in your life already? What can it do in your work? SECTION 2: The World of AI – Foundations to Agents (15 mins)
Slide 4: What is AI?
Simple, friendly definition “AI = a system that learns, predicts, and helps you act faster” Slide 5: AI vs Data Science vs ML vs LLM vs AI Agents
A layered diagram or staircase model: Data Science (what happened?) LLMs (what does this mean?) AI Agents (what should we do next?) Slide 6: How Large Language Models Work (Simple)
Briefly demystify: LLMs learn from vast text data to predict next words ChatGPT, Claude, Gemini, etc. Slide 7: AI Agents = Action Layer
Agents use LLMs to perform multi-step tasks Example: Research → summarize → email SECTION 3: What’s Trending in AI Now (10 mins)
Slide 8: Tools People Are Talking About
Mistral, Cohere, Meta’s LLaMA Slide 9: Beyond Text – What AI Can Do Now
ElevenLabs: Text-to-voice MidJourney, DALL·E: Text-to-image Sarvam AI: Indian speech + voice AI Video demo or preview clip Slide 10: What’s Possible Right Now
Visual: AI can read, write, speak, listen, and act — in seconds SECTION 4: Introducing Pucho.AI (30 mins)
Slide 11: What is Pucho?
Slide 12–26: What Can Pucho Do?
Writing Emails, Blogs, Essays Summarizing Articles, PDFs, Reports Roleplaying: Teacher, HR, Customer Support Idea Generation: Business names, slogans Translation: Multi-language support Basic Coding Help: Python, JavaScript Education: Simplify tough topics Creative Writing: Stories, poems, jokes Language Reading: Speak out responses in English, Hindi, Gujarati Admin Support: Shareable links, copy response, tone/style change Deep Search: Search across large docs or web Workflows: Create charts, draft slides, email summaries Slide 29: Use Cases for You
SECTION 5: Solving Real Problems With AI (10 mins)
Slide 30: Common Problems AI Is Solving
Slide 31: Agrocel Use Cases – Prashant Jadhav (Data Science in Action)
Real industry example (Agrocel) “We used AI to analyze crop performance across states” Slide 32: Data Silos Are Connectable
Visual of fragmented data → unified model “We took Tally, Excel and made them talk” Slide 33: What Can Be The Vision?
AI assistant across departments From insight to execution SECTION 6: Call to Action (5 mins)
Slide 34: Try Pucho Today
Invite them to explore with examples Slide 35: Final Thought
“AI won’t replace you. But someone using AI might.” Slide 36: Thank You
Slide 1: Title Slide
Slide Text:
AI: The Assistant You Didn't Know You Already Use
Making Sense of AI for Everyday Work
Speaker Notes:
Welcome to today’s keynote.
Let me assure you — this is not going to be a tech-heavy, jargon-filled session. You don’t need to be an engineer, a coder, or even “into tech” to understand what we’re going to explore.
Today is about you — how your work life, your day-to-day decisions, your team communication, and even your learning can be made easier using tools that already exist.
By the end of this session, you’ll not only understand what AI is — you’ll actually want to start using it.
Slide 2: Icebreaker – Have You Used AI Today?
Slide Text:
Raise your hand if you’ve used:
Speaker Notes:
Now let me ask you: Have you used any of these today?
If yes, congratulations — you’ve already used AI.
Google Maps rerouting you based on traffic? That’s AI. Swiggy suggesting what to order at lunch? AI. Instagram knowing what reels you’ll like? Also AI. ChatGPT writing emails, summaries, or helping your kids with homework? Yup — AI again. So this session isn’t about learning something alien.
It’s about naming what you’re already doing — and learning how to do it more powerfully in your role.
Slide 3: Agenda
Slide Text:
What is AI — without the jargon How it’s already helping you What’s trending now in 2025 Real business use cases (Agrocel example) Speaker Notes:
Here’s how we’ll spend the next 90 minutes:
First, we’ll explain what AI really is, in the simplest possible terms. Then, we’ll explore how you’re already using it — without knowing. We’ll look at what’s trending in the AI world today — just enough so you’re in the know. Then we’ll dive into real use cases, especially how companies like Agrocel used AI in a powerful way — without needing a tech team. And finally, I’ll introduce you to Pucho.AI — your own custom-built AI assistant for H&H. This session is about giving you power — without complexity.
SECTION 2: The World of AI – Foundations to Agents (15 mins)
Slide 4: What is AI? Slide Text:
AI = A system that can learn, spot patterns, make decisions, and act — like a human would.
But instead of using a brain, it uses data.
Speaker Notes: Let’s start simple. AI is not a robot or a science fiction tool. It’s a type of software that can look at data, find patterns, learn from them, and make decisions — just like a human would.
Imagine training a new team member. First, you show them what to do. Then after a while, they start doing it without you having to explain again. That’s how AI works — only it trains on thousands or millions of examples, all at once.
For example:
Predicting traffic routes on Google Maps Recommending shows on Netflix All of these are simple forms of AI working quietly in the background.
Slide 5: AI vs Data Science vs ML vs LLM vs AI Agents Slide Text: [Need to add data science]
Think of this like levels of intelligence:
Data Science = What happened? Machine Learning (ML) = What might happen? LLMs = What does this mean? (language understanding) AI Agents = What should I do next? Speaker Notes: Let’s clear up the buzzwords.
Data Science looks at past data. Reports, charts, Excel sheets — it explains history. Machine Learning is when systems learn from data and start predicting what’s likely to happen next. Like sales forecasting. LLMs — Large Language Models — are the ChatGPTs and Claudes of the world. They can understand and generate human-like language. And finally, AI Agents — like Pucho — go beyond. They not only understand language, but also perform actions: send emails, create reports, remind your team, or summarize meetings. In short: Data science tells you what happened. Agents tell you what to do.
Slide 6: How Large Language Models Work Slide Text:
LLMs (like ChatGPT) are trained on massive text data from books, websites, PDFs.
They learn to generate human-like responses.
Examples: ChatGPT, Claude, Gemini
Speaker Notes: Here’s how it works:
Imagine training a person by making them read the entire internet — books, articles, conversations. Then you ask them a question. They don’t memorize answers. Instead, they generate a response based on what they’ve seen.
That’s what LLMs like ChatGPT do.
You ask: “Summarize this policy.” It checks millions of similar documents it has learned from — and gives you a clean, human-sounding summary. It’s not magic. It’s just a really smart prediction engine.
Slide 7: AI Agents = Action Layer Slide Text:
AI Agents don’t just answer. They act.
Example: “Research pricing trends → Summarize → Email to team”
Speaker Notes: This is where things get powerful. ChatGPT is like a smart person who answers your questions. But an AI Agent is like a colleague who takes care of the whole task.
You say: “Analyze this meeting note and assign follow-ups.” Boom — it does it. You say: “Check Tally for unpaid invoices and send reminders.” Done.
That’s what we call Agentic AI — and that’s where tools like Pucho.AI come in. It’s not just helping you think. It’s helping you act.
SECTION 3: What’s Trending in AI Now (10 mins)
Slide 8: Tools Everyone Is Talking About Slide Text:
These tools are redefining what AI can do:
ChatGPT (OpenAI) – Conversational assistant Claude (Anthropic) – Safer, longer-context AI Gemini (Google) – Multimodal intelligence LLaMA (Meta) – Open-source large model Mistral, Cohere – Fast, lean innovation in AI Speaker Notes: The AI world isn’t just one company — it’s a whole ecosystem.
ChatGPT is the most well-known. It’s great at writing, answering questions, summarizing. Claude is safer and can handle more context — it can read longer documents than ChatGPT. Gemini by Google can understand not just text, but also images and voice — called multimodal AI. LLaMA by Meta and tools like Mistral or Cohere are powering many custom AI setups behind the scenes. You don’t need to use all of these. But understanding them helps you stay aware of what’s shaping the future.
Slide 9: What AI Can Do Now — Beyond Text Slide Text:
AI today can: Talk like a human (ChatGPT, Claude) Generate voice from text (ElevenLabs) Create visuals from descriptions (DALL·E, MidJourney)
Speaker Notes: Let’s go beyond just writing and answering questions.
ElevenLabs can take any text and read it out in a realistic voice — even in Indian accents. DALL·E and MidJourney can turn a written idea into a picture or poster. You type: “A doctor holding a glowing DNA strand in the lab” — it gives you an image. Sarvam AI is India’s homegrown model that understands Hindi, Tamil, Gujarati — making AI truly inclusive. So yes, AI now speaks, listens, watches, and even draws.
Slide 10: What’s Possible Right Now (2025) Slide Text:
In less than 60 seconds, AI can:
Summarize it into 5 points Send a calendar invite for action Speaker Notes: This is no longer theory — this is what AI is doing today.
Let’s say you receive a market report.
An AI agent can read it in seconds. It can summarize key risks and highlights. It can draft an email to your boss or team. And it can even add a meeting to the calendar. This is the level of automation that used to need an entire team — now done by a digital assistant.
This is what we call Agentic AI — and it’s exactly where Pucho.AI fits in.
SECTION 4: Introducing Pucho.AI (30 mins)
Slide 11: What is Pucho.AI? Slide Text:
Pucho = “Ask” in Hindi
Your AI teammate: Answers + Action in one flow
Speaker Notes: Let’s introduce Pucho — our very own AI assistant built for business users like you.
The word “Pucho” means “ask” — because that’s all you need to do. You ask in plain language, and Pucho doesn’t just reply — it completes the task. Whether that means summarizing a document, sending an email, creating a chart, or finding data across tools.
This isn’t just an AI for information. It’s an AI for execution.
Slide 13: Why Pucho?:
Designed for non-tech teams & Indian business use cases
Pucho doesn’t stop at answers.
It plans, reasons, and acts — like a teammate.
Speaker Notes: Most AI tools are just chatbots. They give answers, then leave the rest to you.
Pucho is different.
It reasons like a consultant Acts like an executive assistant Follows instructions like a junior team member Slide 14–28: What Can Pucho Do? Each of the following slides includes: Title + Short example + Real use case
Slide 14: Answering Questions
Ask: “What are India's top antibiotic brands in Q1?”
Pucho finds the data & summarizes
Slide 15: Writing Emails, Blogs, Documents
“Write a sales follow-up email after today’s call”
Pucho drafts it with context
Slide 16: Summarizing PDFs, Reports, Docs
Upload a 30-page medical policy — get 5 bullet points
Slide 17: Roleplaying for HR or Training
Simulate a job interview, or train a sales rep with AI
Slide 18: Idea Generation (Marketing/Branding)
“Suggest names for a diabetic wellness app”
Or “What could be a fun Instagram caption?”
Slide 19: Translation & Multilingual Support
Input in English → Output in Gujarati or Hindi
Supports 10+ Indian languages
Slide 20: Basic Coding Help
Ask: “Create an Excel macro for comparing columns”
Pucho does it
Slide 21: Teaching & Learning
“Explain how GST works — like I’m 10”
Slide 22: Creative Writing
“Write a short story about a pharma brand that saves lives”
Slide 23: Conversational Practice
Learn languages. Practice mock calls.
Slide 24: Voice Output
“Read this summary in Hindi” → Auto voice playback
Slide 25: Document-Based Actions
Upload invoice spreadsheet → “Highlight overdue items + generate chart”
Slide 26: Deep Search
“Find me the clause in the HR policy about maternity leave”
Works across PDFs, Excel, and Docs
Slide 27: Workflow Execution
“Check this month’s sales → Draft report → Send to team on Monday”