Our expertise is built on the understanding that disruption demands fluency, not just awareness, in new technology. GenAI expertise becomes essential for all.
Our expertise is built on the understanding that customer-facing mandates are the building blocks of business and need continuous, deliberate sharpening.
Our expertise is built on the understanding that truly great companies strive for a tipping point on values, traits and competencies to raise the bar for everyone.
Accelerate general AI adoption in data analytics with our program, featuring case studies and simplified AI insights.
Type
Cohort-based (blended & in-person)
Duration
1- 6 weeks / 40 Hours
/EMPOWER
OUR STRENGTHS
01
Sharp Learner Personas
Programs for tech and non-tech practitioners, across tenures, roles and mandates
02
Specific Functional Focus
Programs at the intersection of functions and GenAI, across enterprise sales, marketing, and customer service
03
Active Learning Methods
Programs with practitioner perspective, live case studies and labs to trigger application and confidence
04
Multi-Format initiative GENAIROUS
Podcast: Hosted by Srikanth Iyengar, featuring global GenAI experts. Substack & Conversations: Led by Shreyasi Singh, bringing together practitioners and key clients
What are the key metrics to measure the impact of GenAI on operations?
Key metrics include efficiency improvements (time and cost savings), quality of outputs, error reduction rates, employee satisfaction levels, and overall return on investment (roi) from GenAI implementations.
How can GenAI improve customer service experiences?
Genai can enhance customer service by providing instant support through chatbots, analyzing customer queries for better response accuracy, and predicting customer needs based on historical data. Empowering support teams through AI-driven innovation programs for businesses and online training platforms for employees can enhance service delivery.
What are the top GenAI tools for customer service?
Top GenAI tools include chatbots (e.g., drift, intercom), AI-powered CRM systems (e.g., salesforce einstein), and sentiment analysis tools (e.g., monkeylearn) that help in understanding customer emotions and preferences. integrating these into generative AI for leaders strategies can elevate customer experience management.
How can GenAI enhance customer support efficiency?
GenAI can enhance support efficiency by automating routine inquiries, providing 24/7 availability, analyzing data to identify common issues, and routing complex queries to the appropriate human agents. Adopting GenAI technology for business transformation ensures optimal use of AI tools for efficient support.
What are the potential downsides of using GenAI in customer service?
Potential downsides include reduced human interaction leading to customer frustration, over-reliance on automated systems, and challenges in managing complex queries that require human empathy and understanding. AI-driven innovation programs for businesses and online training platforms for employees can help in preparing teams to manage these complexities more effectively.