Pharmacuetical Industry Manufacturing Industry

Akaike Partners with AWS Kendra to develop an AI-based SOP Generation and Summarization Tool

Advanced Pharma Solutions with AI SOP Generator

The Client Introduction

We aim to efficiently extract information from a vast pharmaceutical Standard Operating Procedures (SOPs) collection. This involves quickly summarising the content and creating new SOPs as required. To assimilate all relevant information effectively, we are working with AWS Kendra on a large corpus of documents. At the heart of our strategy lies a sophisticated large language model, which drives our powerful question-and-answer platform. Despite the enormity of the data, our foremost priority is to provide accurate and trustworthy answers. We ensure clients receive comprehensive and reliable information from our extensive database with our dedication to precision.

Top Benefits

Our platform revolutionises manufacturing workflows by providing tailored Standard Operating Procedures (SOPs) and flexible data solutions. SOPs play an important role in managing complex customer needs and navigating the ever-changing drug development landscape. Our approach lets us quickly identify the most suitable SOP for each unique use case.
What distinguishes our solution is its exceptional flexibility. It seamlessly accommodates various data formats, including documents, tables, URLs, and enterprise databases. This adaptability ensures that our solution remains effective and efficient regardless of the data type.
We take great pride in harnessing the power of open source Large Language Models (LLMs) to drive our innovation. One notable advantage of this approach is data isolation, which ensures the confidentiality of your information while delivering accurate and insightful results.

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Executive Summary

Industry Overview About the Pharma Manufacturing Industry

The global pharmaceutical manufacturing industry is projected to experience significant growth in the coming years, with estimations suggesting a market size of USD 929.9 billion by 2030. This expansion is supported by a consistent compound annual growth rate (CAGR) of 7.63% from 2023 to 2030. Technological advancements, cost-effective practices, and increased financial investment have propelled the pharmaceutical sector into an exciting stage of development. These dynamic factors have collectively influenced the market's remarkable progress. Integrating cutting-edge robotic technology and Artificial Intelligence (AI) is vital to this evolution. This innovative combination has decreased manufacturing floor downtime and reduced product wastage, delivering tangible benefits to the industry. Pharmaceutical manufacturing has streamlined operations and minimised contamination risks through single-use disposable solutions. By adopting data-rich, paperless operations, precision, high-quality, and efficient pharmaceutical production can be achieved. The emergence of personalised medicine has transformed healthcare delivery by shifting towards patient-centric treatment methodologies. As a result, supply chains have been realigned to support this patient-focused approach. Industry leaders strengthen their market presence through strategic collaborations, partnerships, and expansions. To maintain relevance, SOPs require cross-departmental collaboration and continuous updates. In addition, a robust review and investigation process should be established to address log reviews, downtime incidents, process failures, and standardisation concerns.

Business Challenge Employee Productivity

Standard Operating Procedures (SOPs) are crucial in ensuring efficient task execution, facilitating effective communication, and preventing compliance issues. However, the challenges associated with SOPs include complex language, lack of standardisation, and inadequate training. More than 2% of FDA observations in 2018 identified issues related to insufficient cleaning and maintenance protocols. To comply with FDA regulations, companies need to have well-defined methods for cleaning and maintenance responsibilities, along with clearly defined schedules and equipment guidelines. Accurate record-keeping is also critical in maintaining compliance. Outdated technology poses a significant obstacle to real-time data utilisation, thereby increasing the risk of compliance breaches. Legacy systems often provide inaccurate data, while manual reporting is prone to errors. Pharmaceutical companies require efficient reporting systems that prioritise compliance needs. Approximately 4% of FDA observations 2018 were attributed to failed laboratory controls. This emphasises the importance of adequately monitoring, maintaining and analysing raw data to mitigate compliance risks. Comprehensive compliance training programs are necessary to ensure clarity in SOPs and avoid ambiguity. Additionally, utilising next-generation training management software can enhance employee communication and collaboration. To maintain relevance, SOPs require cross-departmental collaboration and continuous updates. In addition, a robust review and investigation process should be established to address log reviews, downtime incidents, process failures, and standardisation concerns.

The Akaike Edge

Inbuilt libraries, DL models with transfer learning capabilities

Impact Delivered

1) The workflow speed has been enhanced, resulting in improved efficiency.

2) Detailed processes for specific tasks have been simplified, ensuring clear expectations and promoting consistent and efficient operations.

3) The ability to replicate processes has facilitated growth, allowing the team to dedicate more time to improvement and skill development.

4) Process standardization has increased efficiency by identifying areas for optimisation and automation while ensuring that all necessary procedures are properly documented.

5) By maintaining high-quality standards, consistent excellence in customer service is achieved. This also supports team training efforts and enables them to take breaks without compromising the integrity of the business.

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Solution

Blend of Gen AI and Deep Learning

Unlocking Valuable Insights through Large Language Models (LLM)

Our innovative solution offers a highly scalable system that can efficiently process and analyse documents using the advanced capabilities of the AWS Kendra Platform. By utilizing powerful large language models (LLM), we can extract valuable insights through a natural question-and-answer interface. One of the key features of our solution is its ability to automatically update data from various sources, including websites and enterprise knowledge bases. This ensures that our document store is always up-to-date, allowing for real-time insight generation.

Providing intuitive and concise explanations for user queries

Our sophisticated reasoning engine plays a crucial role in delivering accurate results. By considering the context of the conversation, it intelligently queries relevant documents to provide intuitive and concise explanations for user queries.

Providing Intuitive Interface for Effortless Exploration

In addition, we provide an intuitive interface that allows users to easily navigate specific sections of documents and browse content related to their queries. This feature is particularly beneficial for pharmaceutical manufacturing standard operating procedures (SOPs), as our reasoning engine constructs an ontology/catalogue of SOPs for effortless exploration of similar documents.