Stablecoins, AI Agents, and The Future of Global Banking
Jeeves founder Dilip Tasman discusses building a stablecoin-native global financial operating system for enterprises across 25 countries, with a focus on Latin America. The company has grown revenue 10x and TPV from $400M to $3B+ by leveraging stablecoin infrastructure and AI to replace traditional fragmented banking rails. Tasman argues that owning core infrastructure, regulatory licenses, and embracing AI are the critical moats that make this model defensible.
Summary
In this A16Z podcast episode, Angela Strange interviews Jeeves CEO Dilip Tasman about building a global business banking platform for mid-market and enterprise companies. Tasman, who grew up across Nigeria, Qatar, and the US before earning two engineering degrees and selling a previous company for $106M, describes Jeeves as a 'stablecoin-native financial operating system' spanning corporate cards, payments, and expense management across 25 countries.
The company's core technical moat is its proprietary middleware layer — a Central Management System (CMS) that abstracts 50-60 different vendor integrations into a unified ledger maintained across all operating countries. By becoming a full principal member with Mastercard and issuing under local bins in each country, Jeeves delivers a seamless, locally-compliant experience without intermediary banks. This infrastructure took years to build but now enables rapid expansion: with stablecoin rails, launching a new country like Argentina costs a fraction of the previous $500K-$700K and 8-month timeline.
Stablecoins are described not as a theoretical concept but as a lived reality in Latin America, where 60% of Argentinians already use them as a hedge against currency devaluation. Jeeves has quietly made stablecoins the backbone of its international payments product — branded as 'Jeeves Instant Pay' — settling over 50-60% of international payments in USDC without exposing enterprise CFOs to the terminology they may distrust. This has helped drive TPV growth from $400M to $3B+ and a projected $6B in 2025.
On the AI front, Tasman describes a dramatic operational transformation: headcount dropped from 200 to 140 people while revenue grew 10x. AI is deployed across underwriting (4 people now handle $2-3B in TPV, versus 15 previously), customer service (multilingual chatbot 'Lenora'), KYB document ingestion with custom-trained OCR models that handle regional quirks like Brazil's inverted comma/dot number formatting, GL coding agents with 99%+ accuracy, and transaction reconciliation agents. Tasman argues that being 'AI-pilled' is existential for incumbents competing against AI-native startups.
Tasman also discusses the strategic pivot from serving small businesses to focusing exclusively on mid-market and enterprise clients (revenues of $10M–$100M+), which he credits with enabling the company's margin expansion from 40% to over 80%. He outlines a future vision where Jeeves moves its entire capital stack on-chain — replacing multi-country currency pools with a single USDC reserve — and potentially collateralizing its $1-3B in receivables on-chain for working capital. He sees programmable money and AI agents as converging trends that Jeeves is positioned to capture.
Key Insights
- Tasman claims that in Argentina, 60% of the population already uses stablecoins, making LATAM a region where stablecoin adoption is a lived reality rather than a theoretical use case — in contrast to the US where dollar stability reduces the perceived need.
- Jeeves deliberately markets its stablecoin-powered payments as 'Jeeves Instant Pay' rather than leading with stablecoin terminology, because enterprise CFOs care about reliability and cost savings, not the underlying technology — and would be put off by crypto framing.
- Tasman argues that owning the full card-issuing stack (customer acquisition, processor, program management, and local bin) in each country allows Jeeves to change only the issuing bin when entering a new market — and with stablecoin, not even that needs to change.
- Jeeves' underwriting team of 4 people now processes $2-3 billion in TPV, a workload that Tasman says would have required at least 15 people just two and a half years ago, citing AI-powered self-learning models and better data as the key enablers.
- Tasman argues that if a CEO is not personally driving AI adoption — setting the pace, building prototypes themselves — it will not happen, and that this energy cannot be outsourced to a Chief AI Officer; he illustrates this by personally building Jeeves' first internal OpenAI integration.
- Jeeves' margin expanded from 40% to over 80% by owning infrastructure and regulatory licenses directly, which eliminates the intermediary take-rate paid to third-party banks and processors.
- Tasman describes a future where Jeeves consolidates its multi-currency capital pools across 25 countries into a single USDC reserve and mints local currency as needed, dramatically reducing the cost of capital and operational complexity.
- The company made a deliberate and painful decision in 2023 to offboard smaller businesses and focus exclusively on mid-market and enterprise clients, which Tasman credits as the turning point that enabled the company to grow revenue 10x with fewer employees.
Topics
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