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

Leading organizations are exploring how large models including
LLMs and multi modals can enhance operations, reduce costs, and provide
competitive advantage.

20%

Opportunity scans to identify high-potential 
AI applications

15%

Vendor and technology evaluation

50%

Data readiness 
and infrastructure assessments

BENEFITS

Early adopters have already seen substantial benefits:

Coins

Reduced costs

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Increased revenues

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Improved NPS

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Reduced risks

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.

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Data privacy and security

Protecting sensitive data and breaches and unauthorized access

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Dependency on external providers

Reliance on third-party LLM services and their limitations

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Contextual limitations

LLMs may struggle with domain-specific context

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Ethical and legal considerations

Responsible AI use and legal liabilities

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Customization and integration

Adapting LLMs to enterprise needs and integrating them into workflows

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User training and adoption

Ensuring users understand and effectively use LLMs

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Quality control

Ensuring reliability, consistency, and addressing biases in LLM-generated content

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Data quality and availability

Access to high-quality, relevant data to enhance the context

Coins

Cost and resource constraints

Financial investments in LLM development and infrastructure

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Scalability

Ability to handle increasing volumes of user queries and data

We will help you in your GenAI journey and maturity

Our approach to optimal GenAI utilization

Discovery

Output: Discovery report

  • Generate use cases
  • Understand current business processes & pain points
  • Run business workshops

Build use cases

Output: Working proof-of-concept (PoC)

  • Implement AI tooling
  • Collaborate use case generation

Release & fine-tune

Output: Optimised PoC performance

  • Upskill relevant business in AI capability
  • Tune capability with business involvement
  • Refine capability

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Enterprise-wide AI utilization

  • Build further use cases
  • Create enterprise AI framework
  • Train and support business to leverage AI

Practical GenAI solutions that unlock real business value.

Our solutions

01

Intelligent document processing (IDP​)

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Pipeline for extracting layouts, content ​

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Extracting insights and entities form unstructured sources – policies, contracts, terms, tables, images etc.

Converted text into JSON structure​

Build schema from the text​

Analyse and test extracted insights​

02

Secured retrieval augmented generated framework​

Ability to connect to multiple ‘Base models’​

Evaluation framework​

Prompt management​

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Governance workflow ​on LangChain​

GenAI app building framework ​

03

Data analysis from CRM ​& marketing tools​

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Rapid analysis of large datasets​

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Automated data visualizations​

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Summarization of complex data​

Conversational channel for consuming data products – natural language interaction with data​

04

AI Agentic workflow​

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Ability to do develop AI agents smart search and summarize 10000 plus documents like PPT, API doc, PDF, Excel etc.

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Insight extraction and tagging for unstructured data​

Summarization of documents​

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Enhanced enterprise search with context​

Conversational co-pilots for employee queries​