Top 10 AI Prompts and Use Cases and in the Financial Services Industry in Argentina

Argentina's financial services scene - driven by a fast-growing fintech layer and pressure from macro shocks - is a prime testing ground for AI that can spot fraud, automate compliance, and refine credit risk in real time: local reports show fintechs like Blondcoin Argentina navigating volatile spreads with a mid‑2025 PD of 1.748% amid a striking 39.4% year‑over‑year inflation rate, underscoring why smarter risk models matter (Blondcoin Argentina credit report (Martini.ai)).

Regulators have tightened rules for payment service providers, digital wallets and AML controls, so AI‑enabled RegTech and monitoring tools are no longer optional (Argentina banking laws and regulations 2025 (Global Legal Insights)).

For professionals and teams in Argentina who need practical AI skills to build or govern these systems, Nucamp's AI Essentials for Work bootcamp offers a hands‑on path to learn prompt writing, tool workflows, and workplace application (AI Essentials for Work bootcamp registration).

To pick the top 10 prompts and use cases most relevant to Argentina's financial ecosystem, the shortlist was filtered for three practical checkpoints: measurable business impact (fraud reduction, faster underwriting, treasury gains), regulatory and data readiness (fit with BCRA/AFIP rules and local payment flows), and clear ROI/feasibility for midsize fintechs and banks.

Priority landed on real‑time fraud detection, credit underwriting, compliance automation, and document‑analysis prompts because industry research shows these areas deliver rapid value and scale - Experian's GenAI guide stresses choosing use cases with the highest ROI, while Cake's roundup highlights where AI actually moves the needle in finance.

Projects also had to be pilot‑able with existing data stacks and explainable enough for auditors (XAI and governance made the cut), and locally validated examples - like AI‑driven fraud detection tailored to Argentina's unique transaction patterns - helped break ties between otherwise similar ideas.

The result: a compact, practical set of prompts that can cut chargebacks, speed approvals, and flag suspicious flows before money exits the system, ready for shadow‑mode testing and governed rollout.

Read more on Cake's use cases and Experian's GenAI recommendations to match strategy to impact.

"The most successful implementations aren't about replacing human expertise but augmenting it with incredible speed and scale. Think of it as giving your team superpowers."

Argentina's transaction volumes demand fraud systems that act in the same heartbeat as payments - Mercado Pago already pairs device‑level signals and 3DS 2.0 authentication via the Antifraude Plus add‑on to keep approval rates high and chargebacks low, and merchants can install it quickly through the Shopify marketplace (Mercado Pago Antifraude Plus Shopify installation guide).

At scale, privacy shifts matter: Mercado Libre's Privacy Sandbox experiments show Mercado Pago handled roughly 244 transactions per second and tested CHIPS/partitioned cookies to preserve device signals, recovering identification for about 70% of devices when third‑party cookies were blocked - a reminder that privacy and fraud controls must be engineered together (Mercado Libre Privacy Sandbox case study).

Pairing these platform signals with an operational data stack that scores transactions in sub‑second windows is the practical prompt for teams aiming to stop fraud before funds move - a tangible outcome when device IDs, 3DS and streaming analytics work in concert (KanBo overview of Mercado Pago benefits), not months later.

"Teamwork is essential. Finding third-party cookie breakage can be time-consuming, whatever your technical expertise. Reach out to your colleagues for help - you'll uncover the issues faster and have a chance to learn from each other's expertise." - Oleh Burkhay, Mercado Libre Frontend Sr Expert

Tackling Argentina's SME credit gap starts with smarter, data‑driven underwriting that goes beyond thin credit files - Veraz (Equifax Argentina) and similar bureaus are necessary pieces of the puzzle, but pilots show psychometrics and alternative models materially move the needle: an Inter‑American Development Bank study of a Banco Ciudad pilot found a psychometric scorecard with a Gini between 20–40% and that SMEs rejected by that model were three to four times more likely to default, a stark reminder that traditional credit histories miss many risks and opportunities (IDB psychometric pilot for SME credit scoring in Argentina).

Pairing bureau data from Veraz with behavioral scores, cash‑flow signals and modest AI explainability can lower information asymmetry and expand collateral‑free lending without sacrificing prudence - practical underwriting prompts here prioritize transparency, testability and modest pilots to convince auditors and regulators (U.S. State Department report on Argentina investment climate and Veraz context), so lenders can reliably say yes to viable small businesses they'd previously declined.

Nubank's purchase of Hyperplane is a clear signal that foundation models will soon power the next generation of customer support - moving teams away from templated replies toward hyper‑personalized, context‑aware assistants that can draw on transaction history, product rules and internal knowledge without leaving the chat window (Nubank Goes “Hyper” on AI‑first Future with Hyperplane).

Industry roundups note AI assistants are already stealing the spotlight, and for Argentina's banks and fintechs the practical task is wiring those assistants into local payment flows and compliance controls; Nucamp's regional guides explain how to pilot prompts and workflows that respect transaction signals and regulatory constraints while reducing repetitive work (Nucamp AI Essentials for Work syllabus - AI in Argentina financial services).

The “so what?” is simple: a well‑designed assistant can turn long, multi‑step support tickets into a single, explainable conversation trail that speeds resolution and gives auditors the evidence they need - small operational wins that add up to noticeably better customer trust.

Automated regulatory compliance and RegTech in Argentina must be designed around the Banco Central's recent technology rulings, which pivot institutions from ad‑hoc controls to documented, testable AI practices: Communication A7724 tightens IT/IS risk management (three lines of defence, clear roles, impact assessments and explicit AI risk appetites) and even gives entities roughly 180 days to align following publication, so pilots can't drift indefinitely without governance (BCRA Communication A7724 - Grant Thornton).

Parallel guidance on AI, data protection amendments and the AAIP's transparency recommendations push firms to bake privacy‑by‑design, bias checks, human oversight and explainability into RegTech workflows (AI Regulation in Argentina - Nemko Digital).

Practically, this means RegTech prompts should automate impact assessments, log decision rationale for auditors, flag training‑data drift, and produce evidence trails for consumers and regulators - small engineering changes that prevent big compliance headaches and keep services running without surprise enforcement actions.

“The importance of this new BCRA regulation for users of financial services lies in the fact that it significantly raises the bar in relation to technology and information security measures that financial institutions must implement. Therefore, users can expect greater protection of their information and more protection and reliability in the services they receive.” - Fabián Bogado, IT Advisory Director, Grant Thornton Argentina

Automating the financial close and reconciliations with BlackLine turns the month‑end scramble into a disciplined, auditable workflow that suits Argentina's fast‑moving finance teams: BlackLine's platform automates account reconciliations, transaction matching and journal entries, embedding controls and real‑time visibility so exceptions surface quickly instead of hiding in spreadsheets, and AI features like Journal Risk Analyzer flag unusual patterns that humans would miss (BlackLine record-to-report automation infographic); the practical payoff is dramatic - BlackLine cites up to 80% less manual work across key R2R tasks and concrete boosts in audit readiness and control that help local banks, fintechs and shared‑services teams scale without multiplying headcount (BlackLine blog: How AI and automation are reshaping record-to-report).

The “so what?” is simple: freeing teams from repetitive matching lets finance staff spend time on exceptions and analysis, while built‑in audit trails and centralized workflows cut compliance risk and speed stakeholder reporting.

“AI is like the final coat of paint. It can make things look amazing, but only if you've done the prep work.” - BlackLine blog

FP&A teams and treasury desks in Argentina must now stitch together cash forecasts that account for faster import payment windows, an official FX band and sharply higher domestic rates: recent BCRA moves (Communications A‑8074/A‑8118) speed access to the MULC and cut import‑payment terms down to roughly 30 days, which changes working‑capital timing for importers and suppliers (Argentina import-payment timeline reduced to 30 days - Trade.gov); at the same time the Central Bank's phase‑3 program introduces a floating exchange rate within ARS 1,000–1,400 bands and contingent FX interventions that should be modelled as probabilistic scenarios (BCRA Phase 3 exchange-rate bands and BOPREAL - IRGlobal).

Treasury optimization prompts therefore focus on scenario‑based cash‑flow simulation (import‑payment schedule overlays), dynamic FX purchase triggers tied to band breaches, and deposit/loan repricing sensitivity after local rates spiked - 30‑day fixed‑term yields were reported above 50%, a vivid reminder that forecasting errors now cost real basis‑point money (Argentina interest rates soar: 30-day fixed-term ≈51.3% - Mercopress).

Practical AI prompts should generate rolling stress tests, recommend timing for MULC access, and flag tax/customs funding needs so treasuries can keep liquidity tight but operational - turning regulatory change into predictable cash outcomes.

“We believe that this rate hike will be temporary,” - Luis Toto Caputo (quoted in Mercopress)

Robo‑advisors are unlocking a practical path for Argentine banks and fintechs to offer hyper‑personalized product recommendations and scaled wealth services: Temenos positions robo solutions as a way to reach new customer segments and to combine straight‑through automation with relationship‑manager (RM) hybrids so recommendations can be both data‑driven and human‑approved (Temenos Robo-Advisor Customer Experience video).

For Argentina, where regulators and auditability matter, the right prompt will tie customer signals, portfolio analytics and risk profiles into a governed recommendation engine that feeds Temenos' compliance and financial‑crime modules - so offers are tailored, evidence‑logged and easier to certify against local rules (Temenos Regulatory Compliance overview).

The “so what?” is tangible: a small pilot that surfaces context‑aware model portfolios or fee‑sensitive product nudges can turn previously unreachable retail tiers into profitable, compliant clients while keeping RMs focused on complex cases rather than routine allocations.

“Robo advisor type solutions should really be a cornerstone of any wealth manager's digitization strategy.”

For Argentina's banks and fintechs, Lexis+ AI offers a practical way to speed contract review, KYC document analysis and regulatory checks without sacrificing auditability: Protégé's secure Vault and DMS integrations let teams upload client contracts and KYC packets and get fast, jurisdiction‑aware summaries, clause extraction and alternate language suggestions that surface hidden risks - turning what used to take a paralegal an hour (a 50‑page lease) into a concise, actionable risk checklist in seconds.

Agreement Analysis adds an interactive dashboard and market‑benchmarked clause alternatives for faster negotiations, while Shepardize® citation checks and Lexis's multi‑model, privacy‑first approach help create referenceable research and source links that are useful when compiling evidence for BCRA/AFIP‑facing audits.

Pairing these trusted legal models with multi‑language contract‑review best practices makes KYC automation and contract triage realistic for Spanish‑language flows common in Argentina (Lexis+ AI product overview for legal research and contract review, Lexis+ Agreement Analysis feature page for clause extraction and dashboards, Cimphony AI article on multi-language AI contract review).

“We are committed to a diverse and wide set of large language models in the legal space - and the speed at which we investigate new models, experiment with them and deploy them is unmatched... delivering the highest-quality answers to our customers with unparalleled speed and driving trusted results in areas that customers have indicated are their top priorities.” - Jeff Pfeifer, Chief Product Officer, LexisNexis

Algorithmic trading around the Merval now pairs classic quant signals with real‑time market intelligence and sentiment feeds to navigate Argentina's famously volatile nights and thin liquidity: daily MERVAL updates give the valuation and trend context traders need (Argentina MERVAL market analysis - Simply Wall St), while AI‑driven sentiment analysis converts unstructured Spanish news, X threads and forums into timely signals that can precede price swings - after all, “information moves markets” and a single viral post can ripple through a small cap faster than in deeper markets (AI market sentiment analysis for trading - Attix).

Advances in text‑mining and ML/DL models make these signals testable and backtestable for execution or alpha‑generation strategies (Survey of text‑mining for stock prediction - IntechOpen).

A practical prompt for Argentine desks: fuse MERVAL tick streams with news‑sentiment scores, run rolling backtests for regime shifts, and gate automated execution with risk overlays so models learn narratives without outrunning human oversight - small, governed pilots that can turn noisy headlines into measurable edge.

“We're not just your platform. We're your partner in navigating unpredictable markets.” - ATTIX

Internal automation for Argentina's finance back‑office should focus on ticket triage, knowledge management and on‑the‑job training that actually reduces month‑end chaos: FloQast's Task, Reconciliation and Journal Entry agents auto‑prioritize requests, draft follow‑ups, and pull supporting evidence into a single, auditable workspace so teams spend review time - not inbox time - (customers report 27 hours saved per month and up to 38% faster reconciliations).

Built‑for‑accountants tooling like FloQast Transform lets local teams create no‑code agents that standardize playbooks, generate training checklists from historical closes, and keep knowledge up to date as rules change - critical when regulators and auditors demand traceable rationale and controls (FloQast cites ISO 42001 certification and extensive audit trails).

For heavier document work, FloQast's AI Transaction Matching and AI Annotations (implemented with Claude on Amazon Bedrock) speed bulk tagging and rule generation so knowledge bases and training content scale with volumes (FloQast AI Agents product page for accounting automation, FloQast accounting solution on Amazon Bedrock (Claude 3) technical overview), making small pilots in ticket triage a fast, low‑risk win.

“Almost everything we need ties back to NetSuite, and FloQast AI Agents has made it seamless to pull, adjust, and push data without going outside the platform.”

Start small, govern well, scale fast: Argentina's evolving framework - shaped by data‑protection amendments, Resolution 161/2023 and draft laws that stress transparency, human oversight and risk assessment - makes the safest path a staged one where high‑impact pilots (fraud, underwriting, RegTech) are proven in controlled sandboxes, instrumented for auditors, and designed to produce measurable impact and explainable decision logs (AI regulation in Argentina - Nemko Digital analysis of Resolution 161/2023).

Latin America's playbook is clear: tailor rules to local realities, favor risk‑based scrutiny and use sandboxes to learn quickly rather than legislate in panic (Regulating AI in Latin America - Americas Quarterly analysis).

For teams ready to turn pilots into repeatable programs, practical training matters - AI Essentials for Work - Nucamp 15-week bootcamp on prompt design, governance and workplace AI workflows, because in a market where a single audit or complaint can ripple through a small ecosystem, disciplined pilots with clear evidence are the difference between scaling and stumbling.