Spring Labs

Spring Labs uses intelligent automation to enhance customer experience and compliance in financial services.

Our AI agents streamline operations, ensure regulatory compliance, and empower teams to deliver faster, more empathetic support.

06/05/2025

🚀 Zanko V0.11.0 is live!

We’ve just rolled out one of our biggest updates yet, designed to make QA faster, smarter, and reflecting your very own internal processes.

Highlights include:

✔️Agent Insight: Configurable agent scorecards based on your own QA policy documents.

✔️Clean transcript viewing across voice, chat, and email.

✔️Saved views, drill-down reporting, and adjustable audio playback.

✔️Major usability improvements + key bug fixes.

If you haven’t seen Zanko in a while, now’s the perfect time to take another look.

https://calendly.com/d/cmfh-7ny-zb8/meeting-with-spring-labs?month=2025-06

06/03/2025

AI isn’t just a buzzword in financial services, it’s fundamentally reshaping the industry. From real-time risk assessment to predictive customer support, AI-driven solutions are unlocking new levels of efficiency and accuracy.

At Spring Labs, we help fintechs and banks harness the power of AI to:

⚪ Automate compliance workflows, reducing manual effort and regulatory risk.
⚪ Enhance customer support with AI-driven insights, improving response times and accuracy.
⚪ Strengthen fraud detection with machine learning models trained on real-time data.

The result? Faster decision-making, cost savings, and a competitive edge in an industry where speed and security matter.

Are you ready to future-proof your financial institution with AI? Let’s connect and explore how our AI-native solutions can transform your operations.

05/29/2025

Are compliance & AI a match made in fintech heaven?

Regulatory compliance is one of the biggest hurdles for financial institutions. But what if AI could make it faster, more efficient, and even more reliable?

We’re seeing AI-driven solutions reduce manual processes, enhance risk detection, and streamline reporting. We help free up teams to focus on strategy instead of paperwork.

Are you using AI in your compliance workflows?

05/27/2025

We’re thrilled to welcome Michael J. Hsu, Former Acting Comptroller of the Currency, to the speaker lineup for the 2025 AI-Native Banking & Fintech Conference.

As Acting Comptroller from 2021 to 2025, Mr. Hsu oversaw more than 1,000 banks representing $16 trillion in assets. He’s delivered 40+ speeches on topics ranging from AI and financial health to fintech partnerships and operational resilience—cementing his voice as a forward-thinking leader in financial regulation.

His career spans the Federal Reserve Board of Governors, U.S. Treasury, SEC, and IMF, bringing unmatched perspective to the evolving role of AI in banking.

More speakers to be announced soon!

Early bird pricing ends June 6 - save 20% by registering today: https://buy.stripe.com/8wM9C26vR74a2CQaEG

05/22/2025

With evolving regulations, financial institutions must treat Gen AI as a risk management function, not just a business initiative. The key to a strong business case? Balancing value creation with risk mitigation.

1. Define the Problem: What challenge does Gen AI solve, and how does it improve efficiency or accuracy?

2. Establish a Baseline: Without clear benchmarks on cost, effectiveness, and risks, justifying AI adoption is difficult.

3. Assess Risk vs. Reward: What new risks emerge? Can AI mitigate existing ones? The ROI must outweigh potential regulatory and operational hurdles.

4. Engage Regulators Early: Don’t wait for oversight—proactively discuss AI governance with regulators to build trust and avoid compliance surprises.

5. Implement Strong Governance: Set up cross-functional working groups (risk, compliance, legal, business, tech) and monitor AI performance continuously.

The bar for AI adoption in financial services is high, but institutions that integrate governance-first AI strategies will be best positioned to innovate responsibly.

05/15/2025

🎙 AI-Native Speaker Announcement: Ryan Christiansen, Executive Director of the Stena Center for Financial Technology at the University of Utah, will be joining us to share his unique perspective at the intersection of fintech innovation, education, and policy.

At the Stena Center, Ryan leads a dynamic ecosystem that includes research labs, a venture fund, a startup incubator, and hands-on student programs, all designed to advance financial technology and shape the next generation of fintech leaders. His work bridges academia and industry, equipping students to thrive in a rapidly evolving landscape. Prior to this role, Ryan held senior leadership positions at Mastercard and Finicity, where he helped shape global open banking strategy and drive innovation in consumer-permissioned data. He continues to influence the industry through his leadership with the Financial Data Exchange (FDX) and as co-chair of the Utah Governor’s Fintech Council.

Ryan brings a rare blend of experience across traditional finance, startup growth, and public policy. This is a session one you won’t want to miss!

https://conference.springlabs.com/tickets-new

05/13/2025

What is AI’s Role in Closing Compliance Gaps & Transforming Financial Services?

1. Enhancing Compliance & Risk Management: AI can eliminate manual, sample-based reviews in areas like complaints management and dispute resolution, enabling full population analysis and better risk detection. Gen AI can also improve regulatory change management by mapping risks and prompting more accurate issue categorization.

2. Boosting Regulatory Oversight: With thousands of banks and non-bank entities submitting reports, regulators face data overload. AI can standardize, analyze, and make compliance data actionable, improving the supervisory process.

3. Supercharging Productivity & Processes: Banks are already using AI to streamline manual processes, improve efficiency, and enhance AI-assisted decision-making.

4. AI vs. AI in Fraud Prevention: Fraudsters are leveraging AI for identity theft and account takeovers. Banks must counter AI-driven fraud with AI-powered defenses, enhancing ID verification and fraud detection at an individual level.

5. The Future is Hyper-Personalization: AI is making it possible to tailor financial services to individual customers—a long-time industry goal that’s now becoming reality.

Bottom line? AI isn’t just about automation. It’s about better compliance, smarter regulation, and a more personalized, secure banking experience.

05/09/2025

We’re thrilled to welcome Phil Goldfeder, CEO of the American Fintech Council, to the AI-Native Banking & Fintech Conference this September! With nearly two decades of experience bridging public policy and financial innovation, Phil is a national leader in advancing responsible fintech. At AFC, he’s driving industry standards around transparency, consumer protection, and regulatory alignment, ensuring fintech growth is both sustainable and inclusive.

Don’t miss his insights on the future of financial services and AI’s role in shaping what’s next.

https://buy.stripe.com/8wM9C26vR74a2CQaEG

05/05/2025

For many financial institutions, complaint handling is a messy, inconsistent process. Agents manually determine complaint levels, often under-logging or misclassifying cases. Root cause analysis? All over the place. This leads to compliance risks, inefficiencies, and a frustrating customer experience.

One company we spoke with faced exactly this challenge. They’ve spent the past year trying to fix it by building capabilities in AWS, experimenting with machine learning, and working toward real-time complaint detection. Their goal? Automate complaint classification to enable agents to focus on higher-impact responsibilities.

At Spring Labs, we help companies achieve this vision faster and with greater accuracy. By leveraging AI-driven data verification and real-time insights, we enable financial institutions to:

✔️ Automate complaint classification with AI-powered consistency.

✔️ Reduce compliance risks by ensuring accurate and standardized reporting.

✔️ Cut handling time for agents so they can focus on customer resolution, not paperwork.

Manual complaint processing is outdated. AI-driven solutions bring consistency, efficiency, and compliance without the guesswork.

Let’s talk about how we can help your team do the same!

04/24/2025

As AI and Gen AI advance, they’re automating routine tasks, but the human-in-the-loop remains essential, especially in regulated industries like finance.

🔹 AI Must Be Accountable: If AI is making decisions, it must comply with laws and regulations. Human oversight is still critical to ensure accuracy and compliance.
🔹 AI is Outperforming Humans: In some areas, like monitoring contracts, calls, and complaints, AI is already faster, more accurate, and more consistent than humans.
🔹 Job Displacement is Real: Routine, automated roles are being replaced, just as we’ve seen with every major technological shift. But history shows new roles will emerge.
🔹 Adaptation is Key: Compliance and governance jobs will evolve, focusing more on auditing and overseeing AI rather than performing manual tasks. Regulators will need to trust both the technology and the people managing it.

The future isn’t AI replacing humans. It’s AI augmenting human capabilities. The real challenge? Learning how to adapt and evolve alongside it.

04/23/2025

Regulatory guidance on Gen AI in financial services is still evolving. While formal rules are in progress, informal oversight is already happening:

Federal Level: Prudential regulators are assessing AI risks following the Treasury’s recent report. Expect more guidance, but for now, examination teams are already questioning banks on their AI risk management.

State Level: States are moving faster. Colorado passed broad AI legislation, while California’s privacy agency is targeting AI in lending. Texas just introduced an AI governance bill similar to the EU AI Act.

Insurance Industry: AI regulations are accelerating, with multiple states introducing rules across different insurance products.

With AI governance rapidly evolving, financial institutions must stay ahead of emerging regulations at both state and federal levels. Stay agile, stay informed.

04/17/2025

AI is reshaping financial services, but how do we balance innovation with compliance?

From customer service to fraud detection, AI is driving efficiencies across the industry. Yet, financial institutions must ensure AI-driven decisions are predictable, explainable, and aligned with regulatory expectations.

Key strategies for responsible AI adoption:
✔️ Use AI as an augmentation tool, not a replacement for human expertise.
✔️ Build governance frameworks that prioritize transparency and oversight.
✔️ Engage with regulators to shape AI validation and compliance standards.

The future of AI in fintech belongs to those who can innovate and stay compliant.

How is your organization approaching AI governance?

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4551 Glencoe Avenue, Ste. 330
Marina Del Rey, CA
90292

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https://link.springlabs.com/4cEsTes

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