Innovation Demands Evolution: Embrace GenAI Fluency

Our expertise is built on the understanding that disruption demands fluency, not just awareness, in new technology.
/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

INNOVATION DEMANDS EVOLUTION: EMBRACE GENAI FLUENCY

FAQs

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.
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.
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.
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.

INSIGHTS

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