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Insights
Unlock the potential of Generative AI with esynergy

Explore high-impact use cases through rapid, low-risk POVs

ABOUT
The rise of generative AI represents one of the most disruptive forces shaping enterprise technology today.

Leading organizations are exploring how large language models 
like GPT-3 can enhance operations, reduce costs, and provide competitive advantage.

Benefits
Uncertainty remains around where to start and how to demonstrate tangible value from generative AI's capabilities.

This is where esynergy comes in.

Data privacy and Security

Protecting sensitive data and breaches and unauthorized access.

Contextual Limitations

LLMs may struggle with domain-specific context.

LLMs may struggle with domain-specific context.
Dependency on External Providers

Reliance on third-party LLM services and their limitations

Ethical and legal Considerations

Responsible AI use and legal liabilities.

User training and Adoption
challenges
Tackle Business Challenges Head-On with esynergy's Proven Solutions.

With the help of genAI, we've been supporting our clients solve these 
business challenges.

we use a five-stage maturity model
We will help you in your GenAI journey and maturity

We use a 5-stage maturity model for evaluating enterprise readiness for adopting GenAI use cases

Stage 01

Exploratory

  • Conducting initial research into GenAI capabilities
  • Early experimentation with limited Proof of value
  • Assessing potential use cases and impact
  • Determining required data, skills and infrastructure
Stage 02

Foundational

  • Conducting initial research into GenAI capabilities
  • Early experimentation with limited Proof of value
  • Assessing potential use cases and impact
  • Determining required data, skills and infrastructure
Stage 03

Functional

  • Conducting initial research into GenAI capabilities
  • Early experimentation with limited Proof of value
  • Assessing potential use cases and impact
  • Determining required data, skills and infrastructure
Governance
esynergy couples technical expertise
Our approach
Our rapid proof of value approach follows key phases:

As trusted navigators in the generative AI landscape, we partner with organizations to identify their most promising use cases through structured 
2-month proof of value (POV) sprints.

Partners

Throughout the engagement, you'll work closely with our 
cross-functional team of AI strategists, data scientists, and machine learning engineers to ensure alignment with your business goals.

The outcome is an informed perspective on where generative AI can drive efficiency, automation, and competitive differentiation for your organization. Let our experts guide you on the most impactful applications of this emerging technology.

Our team

Discover our Generative AI experts

Prasad Prabhakaran Gen Al Practice Lead

Prasad is a seasoned product manager with over 20 years of experience in creating data, Al, and technology products for industry giants such as Microsoft, Samsung, and leading banks like HSBC, ABN Amro, and Amex. 

He excels at building user-friendly products, championing new ways of working, driving community engagement, and leveraging emerging technologies like GenAl to deliver value for both users and businesses. He is one of the founders of the London Al meetup group and the Datamest meetup community.

Sunny Jaisinghani Head of Data Practice

Sunny Jaisinghani, an accomplished thought leader with 18 years of experience in data platforms. 
His career spans leadership and delivery roles at institutions like Northern Trust and HSBC, where he led transformative initiatives in digital and 
data domains. 

His career also highlights his role as a DevOps and agile transformation lead, cultivating a culture of experimentation and value delivery across 
50+ delivery streams. He has expertise in diverse industries, including finance, healthcare, 
and education.

Luis Lancos Gen Al Lead Associate

Luis Lancos is an IT leader, entrepreneur and innovative technology strategist. He spent the last 10 years leading technology in the Financial Services and Payments Industry, focusing on Innovation and Digital Transformation. He is passionate about leveraging technologies like Gen Al and Machine Learning to drive business value. 

He has worked with world leaders in financial services, such as Atos Scientific Community, Worldline as Technical Director for Payments & SVP of Technology in Europe at US Bank Corp/Elavon.

Resources

We have a deep understanding of generative AI.

Playbook Generative AI

Measuring Generative AI Success

Today’s banking customers expect nothing less than a seamless, real-time experience across all channels. As a result, banking business models are shifting from products to experiences.

Playbook Generative AI

Measuring Generative AI Success

Today’s banking customers expect nothing l

Playbook Generative AI

Measuring Generative AI Success

Today’s banking customers expect nothing l