Conversational BOT modernization with Large Language Model for Global Technology Leader

Objectives

  • Provide Conversational BOT development services for client’s Customer Interaction Management Team to automate the internal services for global associates across countries.
  • Leverage Google’s GCP and Conversational AI solutions to deliver the self-serving BOTs.
  • Extend Large Language Models (LLM) with innovative solutions on existing Conversational AI BOTs.

Challenges

  • Customer Interaction Management Solutions team manages a contact center as a service solution through multiple Conversational BOTs.
  • Conversational flow and overall conversational experience is designed and implemented within Dialogflow based on input from internal clients teams across geographies and BOT Dev program managers, and UX design teams.

Solutions

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Design and build of Conversational AI BOTs using large language models to be used as contact center as a service solution.
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BOT development: Build defined flow and Voice User Interface (“VUI”) Specs into Dialogflow CX (a virtual agent that handles concurrent conversations with end-users) and other platforms to build callbots or chatbots.

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Design conversational flow and overall conversational experience within Dialogflow.
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Tracking and analyzing bot performance for continuous improvement and maintenance.
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Generative AI in Vertex AI for providing the foundation models from Google to build and customize atop these models.
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Generative AI App Builder for developers to quickly ship new experiences including bots, chat interfaces, custom search engines, digital assistants, and more.
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Outcome

40+ Conversational AI BOTs across multiple countries

Self-Help BOTs resolving issues with human intervention

Real-time data processing to support critical service

Multilingual voice bot to interact with customers in multiple languages

Reduce human intervention simplification of training/labelling

Large language Models (LLM) extensions for simplified interactions

GCP solutions GCP, Dialogflow CX

Continuous Innovation bots innovation with advanced solutions

Tech Stack

Python, Workflows, Vertex AI, Dialog Flow, LLM, BigQuery, Looker, LookML, Google Cloud Platform (“GCP”), DialogFlow, Natural Language Processing (“NLP”)/ Natural Language Understanding (“NLU”), Generative AI, unstructured data processing, Machine Learning Operations (“MLOPS”)

DevOps Engineer

Industry experience: 10 Years
Location: Pune

To apply for this opportunity, write to us at careers@agivant.com with the following subject: AG5111-DevOps Engineer

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