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601 & 612, The Times square Arcade, Near Baghban party plot, Thaltej - Shilaj Road, Thaltej, Ahmedabad, Gujarat - 380059
Ahmedabad
25 March 2026
Recently, iFour hosted an educational webinar on how AI is used in businesses – 5 real-world use cases.
The session was led by Dr Priya Jaganathan, AI Automation Expert and a TedX speaker – Australia.
The session began on a calm, midweek morning, as participants from across geographies — Australia, India, Vietnam - slowly joined in. While the chat remained quieter than expected, the intent was clear: businesses were curious, yet cautious, about AI.
Himanshi from iFour Technolab opened the session by positioning iFour as an AI-first, Microsoft ecosystem-driven technology partner, emphasizing its strength in Azure AI, Data Analytics, and Power Platform services.
The message was simple yet powerful - AI is not just innovation for iFour; it’s a business enabler designed to deliver real outcomes.
Today’s businesses don’t need more tools. They need clarity on how AI simplifies and converts into measurable business value. Our focus lies in bridging that gap.
-Bharat Parmar, Director, iFour Technolab
Dr Priya Jaganathan took over with an interactive approach. Breaking the biggest myth of AI, she said:
ChatGPT is not AI. It’s just one small part of it.
Before diving into the core part, Dr Priya paused to shift the audience's mindset. She asked three simple yet powerful questions:
The responses revealed a common pain point.
Dr Priya anchored the entire session on one principle: Speed to Lead
Expectations today are completely changed. Customers now expect instant responses, and doing so is not optional anymore.
Ajay Patel, Director at iFour Technolab, believes -
AI adoption shouldn’t be driven by trends. It should be driven by urgency. Most businesses lose opportunities due to late responses, and AI can directly solve this gap.
Rather than theory, Dr Priya walked through real-world use cases of AI with demonstrations. showing how AI can directly impact revenue.
1. AI-Powered Lead Generation & Outreach
She demonstrated how AI tools can:
What stood out was the shift from generic cold emails to contextual conversations.
She says:
AI isn’t just automating outreach - it’s enabling smarter, human-centered engagement at scale.
2. Conversational AI for Sales & Support
AI chatbots and voice agents are no longer experimental - they’re operational.
Dr. Priya showcased how businesses can:
Key takeaway:
Adopting AI agents is critical today, as they not just help you simplify things but transform how you run your business - from support tools to revenue drivers. They help you reduce missed opportunities.
Check this out to know how to build AI agents for your business.
3. AI-Driven Customer Retention & Reviews
Dr. Priya showcased an amazing example of AI use case in the hospitality industry:
This full-cycle growth loop (capture → engage → convert → retain) caught people’s interest and created buzz.
What’s the takeaway:
Most businesses focus on acquisition, but the real ROI is hidden in repeat engagement and customer retention. And this is where AI can play a pivotal role.
4. AI for Content Creation & Repurposing
Another practical demonstration, which caught the viewers’ interest, was content repurposing. She showed how a single webinar or podcast can be transformed into:
All within minutes.
This addressed a universal pain point: “What do I post today?”
AI acts as an engine behind content velocity.
5. AI for Internal Productivity & Workflow Automation
From scanning business cards to CRM automation, Dr. Priya highlighted:
Her message was clear:
If a task feels repetitive, it should already be automated.
As the session progressed, one underlying theme became evident: AI is Not Optional Anymore
Dr Priya emphasized that:
She strongly advocated for:
iFour Strategic Takeaway:
Businesses don’t fail due to lack of AI - they fail due to lack of strategy behind AI adoption.
The session delivered tangible value with amazing audience interaction.
This webinar has been impactful to a wide variety of audiences – presenting a key and actionable message:
AI works best when it solves real business problems—faster, smarter, and at scale.
This informative session reinforced iFour’s role as not just a technology provider but a strategic AI consulting partner – helping business executives with Azure AI and Copilot services to achieve desired outcomes.
1: How do companies use AI for sales and marketing?
A: AI is widely used for lead scoring, personalized recommendations, targeted campaigns, and customer behavior analysis. It helps businesses identify high-value prospects and deliver more relevant content that improves conversion rates.
2: How can AI improve customer support and customer experience?
A: AI can improve customer experience by providing instant answers, faster ticket resolution, and 24/7 self-service through chatbots or AI assistants. It can also summarize conversations, suggest responses, route requests intelligently, and surface knowledge-base articles—reducing wait times while keeping support teams focused on complex issues.
3: What are the risks of using AI in business, and how can we reduce them?
A: Common risks include incorrect outputs, bias, data leakage, compliance issues, and over-automation. Reduce these by using human-in-the-loop review for critical tasks, setting clear guardrails, limiting access to sensitive data, documenting workflows, and continuously monitoring accuracy, security, and performance.
4: Do small businesses need a big budget or data science team to use AI?
A: No. Many small businesses start with AI-enabled tools (CRM, email automation, support chat, analytics) and get results without hiring a full data science team. The best approach is to begin with one narrow use case, prove ROI, and expand gradually with governance and training.
5: What industries are using AI applications the most?
A: AI is widely used across industries such as healthcare, finance, retail, manufacturing, and logistics. Common applications include fraud detection, predictive maintenance, personalized marketing, and workflow automation.
