Radical Simplification: How CreditLogic is transforming mortgage origination with Inés Muñoz

Inés Muñoz, Market Expansion Leader at CreditLogic, explains how AI and modular technology are reducing manual banking tasks by 80% and why the "human-in-the-loop" remains vital for the future of credit.

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Estimated reading time: 5 minutes

The mortgage process has long been the “final frontier” of digital transformation, a complex, paper-heavy journey that often leaves both banks and customers exhausted. Enter Inés Muñoz, Market Expansion Leader at CreditLogic, a fintech that has successfully captured 40% of the mortgage origination market in Ireland.

With a background spanning marketing, finance, and even the music industry, Inés brings a unique perspective to the world of B2B software sales in the financial sector. We sat down with her to discuss how CreditLogic is “radically simplifying” lending and what the future holds for AI-driven decision-making.

 

“We tackle the “messy” parts of lending to provide real value where the process is most cumbersome.”

Inés Muñoz,
Market Expansion Leader at CreditLogic.

The “why” behind CreditLogic

Juanjo Gómez: Inés, you’ve had a fascinating journey before landing in fintech. How did you end up at CreditLogic, and what specific problem is the company solving?

Inés Muñoz: My path hasn’t been linear, but in 2012, I reconvected with the financial world through digital transformation. Since 2018, I’ve focused on B2B software for international financial institutions.

At CreditLogic, our mission is to radically simplify the origination process for mortgages or any complex loan. In Ireland, we are already behind approximately 40% of mortgage originations. We tackle the “messy” parts of lending to provide real value where the process is most cumbersome.

Efficiency by the numbers

Juanjo: When we talk about “optimizing” the process, what does that look like in terms of real-world impact for a bank?

Inés: The numbers are quite striking. Based on measurements with our clients, we can reduce manual workloads by up to 80%. This has a massive impact on the cost-income ratio, which we can improve by up to 50%.

Perhaps the most tangible change is in the decision time. We can take a process that usually takes days and reduce it to just 30 minutes for the bank to give a verdict.

💡Inés said…

The role of AI and “human-in-the-loop”

Juanjo: Everyone is talking about AI right now. How is CreditLogic actually applying it within your platform, “Cognita”?

Inés: We use AI in two very specific, high-impact ways. First, in document processing. We use an AI-enriched OCR to not only extract data from bank statements but also to validate them against the bank’s specific rules, for example, checking if the documents cover the required time period.

Second, we use AI to organize data from multiple sources, Open Banking, scoring, and documents, so the human agent can decide faster. We are very rigorous about compliance, and we always keep the human at the center. In credit, the final decision belongs to the bank and its employees; our job is to give them a “control panel” that highlights red flags, like gambling habits or seizures, so they can act with certainty.

Juanjo: Do you think we will ever see a fully automated mortgage “OK” without a human involved?

Inés: In the medium term, I don’t think so. Regulation in the financial sector is very strict and requires a human in the loop. We are in a transition phase where banks are testing the tools and performing random checks to build trust. The manual work will disappear, but the human decision will remain.

Breaking down the integration barrier

Juanjo: Selling to banks is notoriously difficult because of their legacy systems. How do you handle the “fear” of touching the core banking system?

Inés: This is one of my favorite things to explain. Coming from a core banking background, I know that “touching the guts” of a bank is terrifying.

CreditLogic is modular. We can validate our technology and run a Proof of Concept (POC) without connecting to the core banking system initially. Once the flow is validated, then we integrate. This allows us to have integration times of weeks or a few months, compared to the two-year timelines common with other technologies.

Juanjo: You are leading the expansion from Ireland into markets like Spain. What are the biggest cultural or business differences you’ve noticed?

Inés: The role of the broker is the biggest difference. In Ireland, more than 50% of mortgages come through intermediaries. In Spain, it’s less than 20%. This is partly due to the bad reputation brokers gained in Spain during the 2008 crisis.

However, we are seeing a shift. Users now look for mortgages on real estate portals, and they want the product to be where they are. Brokers are gaining a larger piece of the value chain because they hold the contact with the user

From Ines’ point of view, the most necessary skill to succeed in the fintech industry today is adaptability. In a startup, you have to listen to the market and react quickly. Sometimes you have to pivot, and sometimes you have to reinvent yourself, like moving between marketing and sales, for instance. If you enjoy that process of reinvention, you’ll thrive.

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