Industry:
Executive Search
Our client, a executive search firm, was grappling with a labor-intensive search process that limited their speed and scalability. Consultants spent excessive time on manual research and managing candidate data that was fragmented across internal databases, documents, and emails.
Goal
The main goal was to accelerate the search lifecycle and improve placement quality by empowering their consultants with intelligent automation. This would free them from low-value research to focus on strategic client advising and high-touch candidate engagement, increasing the firm's overall capacity.
Our Solution
We developed a unified Executive Search Platform that serves as a single source of truth for all candidate and client intelligence. The solution provides an intelligent assistant for sourcing and vetting candidates and centralizes all historical data and interview notes, allowing the firm to leverage its collective knowledge to close searches faster.
Industry:
Construction
Our client, a leading general contractor, was facing significant project delays and budget overruns caused by critical information being fragmented across different systems.
Goal
The main goal was to provide the firm with complete operational control, ensuring they could deliver every project on time and on budget. This was achieved by giving the entire team instant access to answers, a unified view of all project progress, and the ability to proactively mitigate supply chain risks before they caused delays.
Our Solution
We developed a unified intelligence platform, built for the construction industry, that connects scattered data into a single source of truth. This solution combines an Internal Knowledge Assistant, a Project Management Assistant, and Supply Chain Monitoring to directly address the information friction, turning operational chaos into a decisive competitive advantage.
Industry:
Healthcare And Life Sciences
Our client who runs a medical communications company faced a 100+ project backlog due to each writer spending 15+ hours weekly on PubMed/Medline data retrieval and daily hours on cross-referencing, severely impacting deadlines and efficiency.
Goal
The main goal is to eliminate the backlog by drastically cutting writer time spent on PubMed/Medline research and cross-referencing, while maintaining accuracy. This will boost productivity, ensuring timely, high-quality deliveries and enabling them to handle more projects monthly.
Our Solution
By integrating trusted databases like PubMed, Medline, and EMBASE with a large language model, we developed a solution that significantly enhances the efficiency and accuracy of data and knowledge retrieval. Furthermore, we implemented a cross-referencing system that substantially streamlines the validation process, directly addressing previously identified bottlenecks.