AWS Only
LGIM Streamlines Competitor Analysis with Amazon Bedrock, Cutting Report Time to Under 2 Minutes
Legal & General Investment Management (LGIM) aimed to enhance operational efficiency by automating its time-consuming competitor analysis processes. Partnering with Firemind, they developed an AI-driven solution using Amazon Bedrock and delivered a Proof-of-Concept that streamlined data ingestion, automated report generation, and integrated chatbot functionality. This enabled LGIM to produce accurate, comprehensive financial reports in a fraction of the time.
AWS ONLY ·
LGIM Streamlines Competitor Analysis with Amazon Bedrock, Cutting Report Time to Under 2 Minutes
Legal & General Investment Management (LGIM) aimed to enhance operational efficiency by automating its time-consuming competitor analysis processes. Partnering with Firemind, they developed an AI-driven solution using Amazon Bedrock and delivered a Proof-of-Concept that streamlined data ingestion, automated report generation, and integrated chatbot functionality. This enabled LGIM to produce accurate, comprehensive financial reports in a fraction of the time.
At a glance
Legal & General Investment Management (LGIM), is one of Europe’s largest asset managers, serving a wide variety of clients, including pension schemes, sovereign wealth funds, financial institutions, and retail investors. The company is known for its focus on sustainable, long-term investments.
Challenge
LGIM needed an automated solution to generate detailed competitor financial reports efficiently, with high accuracy.
Solution
Firemind implemented an AI-driven system using Amazon Bedrock to automate data ingestion, report generation, and a chatbot for querying competitor data.
Services Used
Amazon Bedrock
Amazon Textract
Amazon S3
AWS Step Functions
Outcomes
Report generation time reduced to under 2 minutes
Improved report accuracy
Business challenges
Enhancing efficiency and accuracy in competitor analysis and reporting
Legal & General Investment Management (LGIM) set out to improve the efficiency and accuracy of their competitor analysis processes. As their existing manual methods were time-consuming, LGIM recognised the opportunity to streamline reporting by automating data extraction and analysis, allowing their teams to focus on higher-value tasks and strategic insights.
In addition to speeding up the process, LGIM was keen to ensure that reports were consistently accurate and reliable, especially when working with diverse data sources such as PDFs and web-scraped content. By adopting a more automated approach, they aimed to enhance both operational efficiency and the quality of their reports, enabling faster, more informed decision-making.
"Firemind's PULSE tool was able to quickly and accurately summarise vast datasets of customer surveys, ensuring we could take action against any negative customer experience elements."
Dean Macfadyen, Data Platform Engineer — Generative AI Customer
Solution
Automating data workflows with Firemind's AI solution
Firemind developed a AI-driven solution utilising Amazon Bedrock to automate LGIM’s competitor analysis process. By integrating Amazon Textract, the system was able to automatically extract relevant data, including text and tables, from competitor PDFs and web sources. AWS Step Functions was employed to orchestrate the entire workflow, seamlessly managing the steps from data ingestion to report generation. Amazon S3 provided reliable storage for both the raw and processed data, ensuring that LGIM could easily access all information as needed. This automated workflow drastically reduced the time required to generate detailed competitor reports.
To enhance accuracy, the solution incorporated Claude v3 AI models, which were fine-tuned to produce high-quality financial reports. A validation layer was integrated to ensure that data was consistently accurate, helping minimise errors often found in manual processes. Additionally, a chatbot interface was developed to allow real-time querying against the ingested data, giving users instant access to insights on competitor performance. This combination of automated reporting and interactive querying provided LGIM with a more efficient and reliable way to analyse and act on competitor data.
Automated reporting
The new system enables LGIM to generate competitor reports in under 2 minutes, significantly reducing manual effort.
Enhanced accuracy
The AI-driven validation layer ensures that generated reports are accurate, with an improvement in data reliability.
Why Firemind
LGIM chose Firemind as a partner due to their expertise in delivering AI-driven solutions and deep knowledge of AWS technologies. Firemind’s proven ability to streamline data processes, combined with their experience in the financial sector, made them an ideal choice to help automate and enhance LGIM’s competitor analysis. Their innovative approach and focus on efficiency and accuracy aligned with LGIM’s goals for operational improvement.
1920%
Workflow speed increase
1,000 documents in 12.5 minutes compared to 4 hours by human operator
88%
Keyword accuracy
for leading categories within data modelling & training
Added value
We were also able to take all stakeholders on a journey concerning how Cloud Adoption and Machine Learning would benefit their customers and their business continuity, all in a 12 week timeline from start to finish.
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