Interact with your enterprise data like you are talking to a human

60%

Efficiency Boost:

60% reduction in time spent on campaign content creation.

$1.5 M

Cost Savings:

Annual savings of $1.5 million.

20%

Personalized Visuals:

20% increase in engagement metrics with AI-generated artistic backgrounds tailored to campaigns.

15%

Customer Satisfaction:

15% increase in customer satisfaction ratings.

4000+

No. of webpages scraped:

A significant amount of data will be collected from the client's website through web scraping. This process will involve scraping over 4000 webpages from various sources on the website, including FAQs and articles.

6 weeks

Deployment Timeline:

Includes performing various tasks such as data pre-processing and cleaning, efficient data indexing, development of a model for answering financial questions, creation of a user-friendly prompt-based interface, optimization for accurate responses and user testing.

Rapid response:

The model ensures quick responses within minutes, eliminating the need for clients to spend excessive time searching for documents. It streamlines the process, enabling efficient access to relevant information.

50%

Efficiency Boost:

50% reduction in ad creation time and $2.5M annual cost savings.

30%

Increased Engagement:

30% higher click-through rates and conversion rates.

20%

Enhanced Relevance:

20% improvement in ad relevance scores and 15% increase in customer satisfaction ratings.

50%

Social Media Reach:

50% increase in social media impressions and 40% rise in social media engagement.

20,000

No. of company documents:

The project involved indexing a substantial number of company documents, totaling 20,000. This includes a wide variety of documents, such as policies, procedures, product manuals, and customer support articles.

1 minute

Time to find answers:

The model guarantees prompt responses within minutes, eliminating the necessity for clients to invest hours in document searches. By streamlining the process, it enables efficient access to relevant information, saving valuable time.

Improved operational efficiency:

The project's focus on enhancing the client support process through automation and real-time information access has resulted in improved operational efficiency. By reducing manual efforts and providing quick responses, the insurance company can handle a larger volume of client inquiries with the same or fewer resources, driving cost savings and improving overall operational efficiency.

200000+

No. of document:

The project involved automating the extraction of HIPAA identifiers from a dataset of around 200,000 referral documents.

500+

No. of different formats observed:

The document set provided by the client had 500+ different formats with no proper labeling. We started by meticulously reviewing and categorizing the documents to build a document corpus with representative documents.

90%

Accuracy on referral documents:

90% accuracy on referral documents On a representative test set of 929 referral documents, the system was able to extract the desired fields accurately around 90% of the time.

75%

Accuracy on other documents:

The system's performance was not limited to referral documents alone. It also demonstrated good accuracy on 425 other documents, which were entirely new. The system was able to achieve an overall accuracy of 75% on this new and unseen data, indicating its ability to generalize well.