How have you successfully integrated AI into your department’s operations to achieve cost savings, and what metrics do you use to evaluate its impact on productivity and profitability?

At Tavant’s Touchless Lending platform, we integrated AI into core mortgage origination and servicing workflows with the clear objective of reducing manual effort, cutting costs, and improving borrower experience. One of the most impactful initiatives has been our Touchless Decision module, which uses AI to run Fannie Mae’s DU and Freddie Mac’s LPA simultaneously, compare results, and automatically translate findings into borrower tasks and when borrower uploads document it immediately give feedback to borrower.
In terms of metrics, we track impact in couple of ways:

Productivity: average time spent per loan by lender staff, reduction in rework cycles, and percentage of tasks auto-cleared by AI.
Customer Experience: Improvement in borrower satisfaction scores as real-time feedback reduced delays and uncertainty.

The customers we work with have integrated our trusted Conversational AI platform into their support organizations, to gain on time to ticket resolution, volume of tickets closed per human support agent, and number of deflected tickets due to automated right-answer resolution upfront.

We are a healthcare organization. We implemented a patient risk triaging system which saves time for Clinicians and obviously improves care quality by at least 20%. It is quick and reliable. We have also implemented an LLm based data extraction system to extract data automatically from faxes and emails sent to us. This saves more than 30-50% of manual effort that used to go into it before.