The global telecommunications market is ~300B USD growing at an avaerage rate of 5-8% annually. The worldwide outsourcing market for business services is ~110B USD, growing at an average CAGR of 5-7% just for the Telecommunications industry (Gartner). Moreover, according to IDC, demand for Customer Experience related services is expected to grow at 6.0% during the 2023–2027 forecast period, from $353.0 billion in 2022 to $473.3 billion in 2027 This provides immense opportunities for telcos to expand into geographically, and also create shared and global business operations in different countries. Traditional approaches of shared services or global business operations centres struggle with language barriers and need for acquiring talents with local language skills. These local language skills are critical in all customers facing processes due to interactions with end customers requiring 100% accurate communication. Tackling this evolving operational nuance requires a suitable technology solution to help the CSPs overcome any bottlenecks, so that they are able to utlise outsourcing and near/offshoring solutions at scale. The specific problems that we seek to address include: * Difficulty Finding and Skilling Employees on multiple languages & cultures * Limitations in recording / transcribing tacit knowledge of SMEs * Difficulty Designing Multilingual Systems * Limitations in automating region-specific and language-specific systems and processes * Difficulty Understanding structured and unstructured content during offline and online conversations * Limitations managing multi-lingual Customer Support services in real-time To address this challenge we are harnessing the power of Generative AI to facilitate seamless communication and data processing across languages. We are demonstrating a Gen AI powered language agnostic operations assistant that will not only handle communications in different languages, but also support locale-agnostic data processing and multilingual content generation. The LLM model will also be trained with process specific terminology to enable contextual and accurate communication. The solution addresses the following nuances: * Contextual Capture of customer emails and conversations in a foreign language and translating them to native languages where the business operations centers are located. Context includes sentiments, localized abbreviations and enterprise business terminologies * Minimising the time spent consolidating email conversations, transaction records and creating a comprehensive incident provenance record * Providing prescriptive guidance that is customized based on the organizational requirements with the capability to learn and adapt. * Ability to generate workflows, imbibe the output from the workflow action sets and help generate a consolidated respons * Organizing data sources that are relevant to the domain such as procedures, transactions and generating data for AIOps * Ability to assess the yield in terms of number of steps taken, number of emails for the same customer and using customer satisfaction indices to help build a learning model