Summary
Investing in new lending software is a big commitment. At Vector Finsoft, we are building LAMS AI, an AI-native loan management system that helps lenders with the full loan journey. Here are three questions we suggest when considering lending software.
1. Will I end up paying for other systems?
The real cost of a lending software is not just its licence fee. Lenders need a CRM, loan management, accounts, AI underwriting, and other subscriptions, each adding another cost to manage. This presents significant monetary costs and workflow friction as data must be re-entered between systems, leading to fragmented information. Additionally, custom integrations incur massive fees.
2. What happens to my data?
For lenders, data security cannot be an afterthought. It's vital to consider where your data is stored, who can access it, and how it is protected. Check whether your data could be used to train AI models, whether it is shared with third parties, and whether it is processed or stored outside the UK. Never assume that data is protected simply because an AI provider is reputable.
3. How will I know whether it is delivering value?
Before committing to any solution, lenders should establish what success looks like. Does it reduce the time spent processing an application? Can the same team handle more cases? Does it improve consistency without compromising underwriting controls? These benefits should be demonstrated, not just promised. Trial the technology using real lending scenarios, measure the results against existing processes, and understand its limitations before making a long-term commitment. The strongest solutions will be those built around continuous AI research and an AI-native approach, rather than traditional systems with AI features bolted on.