A big challenge for us, as an RCM company, was not just answering questions, but knowing which case study or reusable proof point fits the buyer’s scope. We had case studies, but people still had to remember which one applied to which RFP section.

Thalamus AI helps by reading the RFP scope area and matching it to the most relevant case study or reusable content in our knowledge library. It also gives a rationale, so the proposal lead can see why that case study was suggested and whether it is a strong match or only a limited match.

This has been useful for healthcare RFPs where buyers want proof that we have solved similar problems before - denials, coding, patient access, revenue cycle workflows, analytics, etc. It saves time and also helps newer team members find the right proof points faster. Review collected by and hosted on G2.com.

The matching quality depends on how well the case studies are written in the library. We had to improve a few records so the AI could match them better. Review collected by and hosted on G2.com.