AI Innovation, Member Exclusive

Lili CTO Liran Zelkha on building AI that disappears

  • AI in fintech is shifting from in-app features to ambient, API-driven capabilities embedded in tools customers already use.
  • Lili CTO Liran Zelkha discusses building trust into AI design and using AI to bring CFO-level financial intelligence to small business owners.
close

Email a Friend

Lili CTO Liran Zelkha on building AI that disappears

The fintech industry has spent the better part of the last two years racing to add AI to its products. Chatbots have been bolted onto banking dashboards. Summaries have been appended to transaction histories. Assistants have materialized inside apps that users open, at best, once a week. Liran Zelkha, co-founder and Chief Technology Officer of Lili, a financial platform built for small business owners, thinks most of this activity is pointed in the wrong direction. Zelkha has spent years thinking carefully about the relationship between technology and small business owners: customers who are skilled at their craft, pressed for time, and rarely interested in learning a new interface. This customer profile has shaped the architecture of Lili from the beginning, and it informs Zelkha’s view of where AI in finance could genuinely move the needle: The goal is not a better in-app AI experience. The goal is to make a company’s financial capabilities available through whatever AI the customer has already chosen to trust. “The business owner shouldn’t have to learn our app to get value from us,” Zelkha says. “They should be able to ask their AI companion about their cash flow and get a real answer, backed by Lili.” …

0 comments on “Lili CTO Liran Zelkha on building AI that disappears”

AI Innovation, Artificial Intelligence, Banking, Member Exclusive

What Citi Sky says about the reinvention of client relationship models in wealth management

  • Citi Wealth has launched Citi Sky, an AI teammate built with Google Cloud and Google DeepMind that responds and surfaces insights in real time.
  • For Google DeepMind, the biggest challenge was making a non-deterministic generative AI system behave predictably.
Sara Khairi | May 14, 2026
Data, Member Exclusive, Podcasts

How Kudos built a consumer data moat on top of credit card rewards

  • Kudos started as a tool to help consumers pick the right credit card at checkout but underneath the rewards optimization is something more valuable: a data layer spanning purchase history, credit profiles, and active shopping behavior across 500,000 users.
  • Co-founder and CEO Tikue Anazodo explains how that asset is now powering AI agents that negotiate your bills, match you to better financial products, and execute on your behalf.
Zack Miller | May 13, 2026
10-Q, Member Exclusive

Green Dot and the case to make financial experiences feel calmer

  • Green Dot is shifting to prioritize "Cortisol UX", a philosophy that aims to absorb user stress by embedding signals into its architecture that increase predictability of interactions.
  • The product team is focusing on slowing down paths such as transaction confirmations to reduce cognitive load and uncertainty.
Sara Khairi | May 11, 2026
Banking, Lending, Member Exclusive

LendingClub rebrands to Happen Bank as its identity catches up to its model

  • LendingClub (soon Happen Bank) did what few scaled fintechs manage cleanly: it let the business lead, and the brand follow.
  • The company remains lending-centric, but is building out a broader post-loan experience.
Sara Khairi | May 07, 2026
10-Q, Member Exclusive

Coinbase is building on a dual-engine structure, but trading still sets the tone

  • Coinbase is working to expand beyond its crypto identity into a broader financial services platform, but the shift is still too early to call a clean transition story.
  • A dual-engine model best captures Coinbase at present: trading is the volatility engine, subscriptions and infrastructure the baseline.
Sara Khairi | May 04, 2026
More Articles