AI in Business with Misha Emanuilov
'A lot of the fear is about people losing their jobs, but it’s really those who don’t keep up with the technology who get replaced.'
Artificial Intelligence (AI) is no longer a futuristic concept reserved for tech giants and Silicon Valley startups. As highlighted in Misha’s episode of ‘Garry Talks’ podcast, AI is rapidly becoming an essential tool for businesses of all sizes, across every sector. In this post, we’ll break down the key themes and actionable advice from Garry’s conversation with Misha, a young tech founder and AI expert, to help you understand how to leverage AI as a reliable team member - not a threat.
AI Is Everywhere…
Key Insights:
AI is already here: From Spotify’s personalised playlists to robots serving in restaurants, AI is quietly transforming how we live and work.
It’s not just for techies: AI solutions are increasingly accessible, even for small businesses and non-technical founders.
Focus on real problems: The most successful AI applications solve genuine business pain points, not just flashy “AI-native” features.
Actionable Advice:
Audit your business processes: Identify repetitive, time-consuming tasks that could be automated.
Start small: Implement AI in one area (e.g., customer support or quoting) before scaling up.
Debunking AI Myths: Friend, Not Foe
A recurring theme in the episode is the fear and misunderstanding surrounding AI. Misha and Garry both stress that, while regulation is necessary, AI should be seen as a tool to augment human work - not replace it.
Common Myths Addressed:
AI will take all our jobs: Like the internet revolution, those who adapt and learn to use AI will thrive.
AI is uncontrollable: With proper regulation and ethical development, AI can be harnessed safely.
AI is only for big companies: Even small gyms and local businesses can benefit from AI-driven automation.
Actionable Advice:
Educate yourself and your team: Demystify AI by learning about its practical uses in your industry.
Embrace change: View AI as an opportunity to upskill and focus on higher-value work.
Practical AI Applications: Real-World Case Studies
Misha shares several compelling examples of how AI is delivering tangible results for businesses:
Automated Quoting and Customer Support
Problem: Manual quoting and slow response times to customer enquiries.
Solution: AI-powered backend systems that integrate all customer inputs (emails, WhatsApp, Instagram DMs) into a central database, instantly generating quotes and synthesising past interactions into a custom knowledge base.
Result: Response times reduced from 20 minutes to 30 seconds; business owners freed to focus on core work.AI-Driven Customer Engagement
Problem: Overwhelmed by hundreds of daily messages, missing key customer requests.
Solution: Custom AI system that answers FAQs, recommends products, and flags important messages (e.g., requests for products not in stock).
Result: New product lines identified, generating an extra $200,000 in revenue; improved efficiency and conversion rates.24/7 Voice Assistants for Small Businesses
Problem: Limited staff availability for customer calls outside office hours.
Solution: AI voice agents trained on the business’s knowledge base, capable of handling common enquiries and even cloning staff voices for a personal touch.
Result: Round-the-clock customer service without additional staffing costs.Personalised Outreach and Lead Generation
Problem: Time-consuming manual outreach and follow-up.
Solution: AI automates personalised emails and follow-ups at scale, booking meetings and generating leads.
Result: Business owners can focus on closing deals, not chasing leads.
Actionable Advice:
Map your customer journey: Identify touchpoints where AI can enhance responsiveness or personalisation.
Leverage existing data: Use your business’s historical interactions to train AI systems for better accuracy.
Building Effective AI Systems: A Client-Centric Approach
Misha’s process for implementing AI is refreshingly thorough and client-focused:
Key Steps:
Discovery: Deeply understand the client’s pain points and desired outcomes.
Custom Solution Design: No “one-size-fits-all” - each system is tailored to the business’s unique needs.
Iterative Development: Projects typically take 2–8 weeks, with complex cases extending up to 11 months.
Value-Driven Implementation: Only build systems that deliver clear, measurable value.
Expert Recommendations:
Avoid shortcuts: Rushed or generic AI solutions rarely deliver lasting results.
Prioritise high-leverage tasks: Automate low-value, repetitive work so your team can focus on what drives revenue.
Build trust through results: Misha’s company grew purely through referrals, underscoring the importance of delivering real value.
Mastering Prompt Engineering: The R.I.S.E.N. Framework
Getting the most out of AI tools like ChatGPT requires more than just asking questions - it’s about how you ask them. Misha introduces the R.I.S.E.N. framework for effective prompt engineering:
R.I.S.E.N. Explained:
Roles: Define the AI’s role (e.g., “Act as a marketing manager with 30 years’ experience”).
Input: Provide clear, specific information or context.
Steps: Outline the process or steps you want the AI to follow.
Expectations: Set clear expectations for the output (e.g., “Provide a step-by-step plan”).
Narrowing: Focus the AI’s attention on a specific task or outcome.
Example Prompt:
“Act as a senior marketing manager. Here’s our product and target audience. Create a 2-month campaign plan with 20 ideas, including SEO-optimised content. Present your plan in bullet points.”
Actionable Advice:
Be specific: The more context and direction you provide, the better the AI’s output.
Iterate and refine: Don’t be afraid to tweak your prompts for improved results.
Customise knowledge bases: Upload your own documents or data to create AI assistants tailored to your business.
Staying Ahead: How to Keep Up with AI Developments
The AI landscape evolves at breakneck speed. Misha recommends a multi-pronged approach to staying informed:
Strategies for Continuous Learning:
Engage with online communities: Join AI-focused groups on Twitter, Facebook, and LinkedIn.
Follow key thought leaders: Stay updated with experts and innovators in the field.
Attend conferences: Events like Super AI in Singapore offer exposure to cutting-edge ideas and networking opportunities.
Subscribe to newsletters: Misha is launching a newsletter to keep people informed about the latest AI tools and trends.
Experiment with new tools: Try out emerging platforms like Perplexity, Claude, and NotebookLM for research and productivity.
Actionable Advice:
Dedicate time each week to learning: Block out time to read, watch, or listen to AI-related content.
Share knowledge with your team: Foster a culture of continuous improvement and curiosity.
Ethics, Regulation, and the Future of AI
With great power comes great responsibility. Misha and Garry discuss the ethical challenges and regulatory needs surrounding AI, especially in areas like deepfakes and cybersecurity.
Key Considerations:
Deepfakes: AI-generated fake videos and audio are becoming harder to detect, raising concerns about misinformation and fraud.
Cybersecurity: AI can both create and defend against cyber threats; ethical use is paramount.
Regulation: Ongoing dialogue between technologists, regulators, and the public is essential to ensure safe and fair AI development.
Actionable Advice:
Stay informed about regulations: Monitor changes in AI policy relevant to your industry.
Adopt ethical guidelines: Ensure your AI applications respect privacy, transparency, and fairness.
Use AI for good: Focus on solutions that genuinely help people and businesses.
Conclusion: Embrace AI as Your Business Ally
The message from Garry and Misha is clear: AI isn’t a distant, intimidating force - it’s a practical, powerful ally for businesses ready to adapt. By approaching AI with curiosity, responsibility, and a focus on real-world value, you can unlock efficiencies, drive growth, and future-proof your operations.
Key Takeaways:
Start with your needs: Identify where AI can make the biggest difference in your business today.
Invest in learning: Equip yourself and your team with the knowledge to use AI confidently and ethically.
Think long-term: Build AI solutions that scale with your business and adapt as technology evolves.
Lead with values: Prioritise transparency, fairness, and positive impact in every AI initiative.
AI is here to stay - and those who embrace it thoughtfully will not only survive but thrive in the new era of business. As Misha puts it,
“AI is your most reliable team member - one that never sleeps, never gets tired, and is always ready to help you grow.”