Case study
HypotheekCompany
HypotheekCompany wanted to answer underwriting questions faster and more consistently. We built an internal AI search tool that searches underwriting policy in plain language, with source and version.
Helping People, but faster and more consistently
The Support Center at HypotheekCompany gets a lot of questions every day about underwriting conditions. Think exceptions per lender, energy-saving measures, property types or expat cases. In practice, finding the right answer takes a lot of time, because the information is spread across multiple guides, multiple versions and different terms.
The consequence is familiar: a lot of search time, a risk of inconsistency between staff, waiting time for clients and frustration from repetitive work.
The solution
We built an internal AI search tool (web app, no installation) that staff use in two ways:
Search in plain language
For quick questions where you want an answer right away.
Chat with an AI assistant
For more complex cases where you want to ask follow-up questions and sharpen the answer step by step.
What you get back per question
A short, clear answer
The relevant source excerpt from the original underwriting guide
Context such as exceptions and additional conditions
The lender and document version, so you can always verify
Smart features that make the difference
Synonym recognition (different terms, still the right policy)
Multi-document search (searches multiple lenders at once)
Version-aware working (insight into which information is current)
The result
Faster answers to underwriting questions, with less manual searching
Consistent, verifiable answers within the team
Less pressure on the Support Center and more room for real client conversations
Next step
The tool is a strong foundation for rollout to affiliated offices in the HypotheekCompany house style: their own assistant as a distinctive advantage, instead of a generic market solution.
Other cases
See a few more cases below.