Hersill, a Spanish medical equipment manufacturer, developed an AI agent together with Crata AI that analyzes tender documents, queries the company's internal information in natural language and assesses the fit of each tender. The system cuts tender analysis time by 70% and correctly extracts more than 90% of the requirements.
A manual tender analysis that slowed the team down
Hersill manufactures medical equipment across different areas such as ventilation, anesthesia, medical suction, oxygen therapy and emergency care, for hospitals, emergency services and home care. Much of its commercial activity comes through public tenders, processes with long tender documents, highly detailed technical requirements and tight, non-negotiable deadlines.
Assessing each of those tenders was slow, laborious work. It meant reading long tender documents, tracking down the internal information needed and preparing the required paperwork, all of which competed for the technical team's time. With every tender demanding hours of reading and manual searching, deciding in time whether it was worth bidding became the real bottleneck.
The more tenders came in, the heavier that load became. Every document analyzed and every internal search took time away from the tenders that were a real fit, and in a process with strict deadlines the decision to bid kept slipping.
An AI agent that analyzes tender documents and assesses each tender
With Crata AI, Hersill implemented an AI agent that analyzes each tender document, lets the team query the company's internal information in natural language, assesses the fit of each tender and helps prepare the required paperwork.
The agent reads and structures the tender documents, cross-checks their requirements against Hersill's products and internal information, and answers the team's queries, with every answer traceable back to its source. Where the team once spent hours reading and searching, they now decide, with judgment and on time, which tenders are worth preparing.
The agent covers the analysis and preparation stage of each tender:
- Automatically reads and analyzes each tender document.
- Lets the team query internal information in natural language.
- Compares the tender requirements against the company's products.
- Assesses the fit of each tender.
- Helps prepare the required paperwork.
