Case Study
Nurse Recruitment Experts
Sector: Marketing
The Challenge
Scaling RFP analysis without increasing workload
Nurse Recruitment Experts were facing rising demand for RFP responses, with staff spending long hours reviewing documents to determine suitability and craft tailored replies. This manual process required precision, specialist knowledge and significant team capacity.
As more opportunities came in, the lack of automation created a bottleneck, slowing the team’s ability to respond quickly and pursue the most promising contracts effectively.
Recognising the potential for greater efficiency, they sought a solution that would preserve human expertise while reducing the time and effort required for initial RFP assessment.
Insight
Real progress begins with rethinking repetitive workloads
The team understood that the core challenge wasn’t the quality of their responses, but the time spent analysing every RFP before decisions could be made. Automating this early stage would free specialists to focus on strategy and client engagement.
However, generic tools were unable to reflect the organisation’s unique suitability metrics, which included geographic needs, capacity, experience and compliance requirements.
What was needed was a customised AI approach. One designed around their workflow, their criteria and the decisions that mattered most to their business.
Solution
An AI-driven analysis platform built around real-world needs
Bouncy Square partnered with Nurse Recruitment Experts to create a Proof of Concept platform that automated RFP upload, processing and tracking. Staff could log in, submit documents and receive rapid AI-generated summaries and suitability reports.
The model assessed each RFP against tailored metrics including capacity, market expertise, infrastructure, compliance and cost, providing percentage-based scores to guide decision-making.
To support the wider process, the system also produced draft response structures and included a built-in tracking tool to manage RFP statuses, improving visibility and workflow management across the team.
Impact
Faster analysis, clearer decisions and stronger performance
With automated pre-processing in place, staff were able to shift their attention from manual analysis toward creating strong responses and building client relationships. This resulted in substantial time savings across the team.
The platform also enabled more strategic decision-making, as suitability scores provided a clearer view of which opportunities aligned best with organisational goals.
Over the first three months, automation directly contributed to a 20% increase in lead generation, highlighting the value of streamlining early-stage analysis with AI.
What’s Next
Enhancing accuracy and expanding platform capabilities
Following the success of the Proof of Concept, development is continuing with a focus on refining the AI model to improve scoring accuracy across all suitability metrics. This will help provide even greater clarity to staff assessing new opportunities.
The platform is also being explored for deeper analytical capabilities, enabling more complex insights into market fit and operational planning.
Future iterations may include integrations with additional recruitment tools, creating a fully connected ecosystem to support scalable, efficient RFP management across the organisation.
A Game-Changer for Our Process
The difference in our workflow has been remarkable. Tasks that once took hours now take seconds and our team can focus fully on strategy and client engagement. It’s been a game-changer.
Adam Chambers, President – Nurse Recruitment Experts
