Work Smarter, Not Harder: Top 5 AI Prompts Every Finance Professional in Chile Should Use in 2025

By Ludo Fourrage

Last Updated: September 5th 2025

Finance professional reviewing AI-generated cash position and forecasts for Chilean entities on a laptop

Too Long; Didn't Read:

In 2025, Chilean finance teams should use five AI prompts - total cash by entity, 13‑week forecast, AR ageing, unmatched AP, and GL variance - to speed CLP consolidation, AML/CTF monitoring and FX exposure analysis. LATAM AI in finance: USD 1,536M (2023) → USD 13,097M (2032), 26.9% CAGR.

Chile's finance teams can't afford to treat AI prompts as an optional trick in 2025 - Latin America's AI-in-finance market is on track to leap from USD 1,536 million in 2023 to USD 13,097 million by 2032, a 26.9% CAGR (see the LATAM AI in Finance market forecast), so prompt engineering is becoming a core operational skill rather than a novelty.

Well-crafted prompts turn models into repeatable business tasks - speeding fraud detection, document processing and customer-experience automation highlighted in the State of AI in Financial Services report - and for Chile that means clearer CLP reporting, stronger AML/CTF monitoring for UAF obligations, and faster visibility into FX exposure.

Practical training, like the AI Essentials for Work bootcamp, helps teams write prompts that surface the right ledger lines and flag risky payments before the morning coffee.

MetricValue
LATAM AI in Finance (2023)USD 1,536 million
LATAM AI in Finance (2032)USD 13,097 million
Forecast CAGR (2024–2032)26.9%

Table of Contents

  • Methodology: How we selected and tested these prompts
  • Total Cash Position by Entity - "What's our total cash position by entity, as of this morning? Convert balances to CLP and show bank-level details and FX exposure."
  • 13-Week Forecast Refresh with Latest Actuals - "Refresh the forecast with [most recent month] actuals and reproject the next 13 weeks (show CLP and consolidated view)."
  • Open AR by Aging Bucket - "Summarize open AR by aging bucket and list the top 10 overdue customers with recommended collection actions."
  • Unmatched Vendor Invoices & High-Risk AP - "Show new vendor invoices this month without matching POs and flag high-risk invoices (over threshold) at risk of late payment."
  • GL Variance & Missing Recurring Transactions - "Flag GL accounts with missing expected recurring transactions or >10% variance vs. prior month and draft audit-ready explanations."
  • Conclusion: Next Steps - How to start using these prompts in your Chilean finance team
  • Frequently Asked Questions

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Methodology: How we selected and tested these prompts

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Methodology: prompts were chosen by mapping high‑value Chilean finance tasks (cash-by-entity, 13‑week forecast, AR ageing, risky AP, and GL variance) to proven prompt design and ROI practices: each prompt followed the C.S.I.R. structure from the ROI Estimation playbook to set clear Context, Specific info, Intent and Response format (AI for Pro ROI Estimation Prompts (C.S.I.R. prompt design)), then prompts were classified as vertical (deep, function-specific) or horizontal (broad, adoption‑focused) per enterprise ROI guidance to prioritise impact versus reach (LegionIntel advanced ROI strategies for AI investments).

Pilots ran against real CLP-conversion and FX-exposure scenarios with outcome‑based KPIs, short time‑to‑value targets, and integration checks to surface data quality and security issues as recommended in Aisera's ROI playbook (Aisera ROI with AI playbook), so treasury teams can expect usable, audit‑friendly outputs - often fast enough to review bank‑level exposure before the morning coffee.

StepSource
Prompt design (C.S.I.R.)AI for Pro ROI Estimation
Prioritisation: vertical vs horizontalLegionIntel ROI strategies
Pilots, KPIs & data checksAisera ROI & outcomes approach

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Total Cash Position by Entity - "What's our total cash position by entity, as of this morning? Convert balances to CLP and show bank-level details and FX exposure."

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For a morning-ready “total cash position by entity” prompt, combine automated bank feeds and ERP connectivity so balances from every bank and subsidiary are aggregated, converted to CLP and broken down by bank, account and FX exposure - think a single dashboard that highlights which accounts carry USD or EUR risk and which need sweeping or pooling today.

Tools that centralise bank connectivity and deliver intraday statements - like AccessPay's bank-feed and cash-management approach - make it straightforward to pull live balances and standardised CAMT/MT940 files into the model, while Chile's RTGS/LBTR infrastructure provides the high‑value settlement context your treasury needs (AccessPay cash management and centralised cash visibility, Central Bank of Chile payment systems and LBTR information).

Build the prompt to request bank-level FX exposure, a CLP consolidated view, and suggested actions (sweep, hedge, or hold) so the finance team can spot a liquidity gap before the morning coffee and act with confidence.

SourceYearTotal (millions USD, as reported)
Banco Central de Chile (LBTR)20253,708,302,821
Banco Central de Chile (LBTR)20248,138,071,283

“Without AccessPay, we'd have to revert to old manual processes, and we wouldn't have the oversight of cash we enjoy now. The platform has transformed the way we work for the better.”

13-Week Forecast Refresh with Latest Actuals - "Refresh the forecast with [most recent month] actuals and reproject the next 13 weeks (show CLP and consolidated view)."

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Refresh the 13-week forecast by pulling the latest month of actuals, rolling the window forward, and asking the model for a CLP consolidated view that shows weekly inflows, outflows, ending balances and scenario pivots - the whole point is weekly, decision-ready visibility that flags medium-term liquidity risks before they bite.

A strict weekly cadence and good data feeds turn a static spreadsheet into an early-warning system that can identify shortfalls 8–10 weeks ahead so treasury teams in Chile have time to accelerate collections, reshuffle payments or arrange bank funding, as explained in this practical 13-week cash flow forecast guide.

Automate the refresh by connecting accounting and bank feeds, consolidate multiple entities and currencies into a CLP view, and keep variance tracking and scenarios front-and-centre so leaders see not just the numbers but the actions to take - LiveFlow's templates show how to build that real-time, multi-entity structure without manual drudgery (real-time 13-week cashflow templates & consolidation), turning each weekly update into a clear set of decisions rather than another spreadsheet chore.

“The ‘special sauce' of forecasting is the human element: knowing how to interpret the data and anticipate market uncertainty.” Alberto Hernandez‑Martinez, Executive Director, Industry Solutions, J.P. Morgan

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Open AR by Aging Bucket - "Summarize open AR by aging bucket and list the top 10 overdue customers with recommended collection actions."

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Turn your open AR into a true working-capital dashboard: run an ageing report that buckets receivables (0–30, 31–60, 61–90, 90+) and surface the top 10 overdue customers with tailored actions - priority outreach, short payment plans, or pause-of-service for chronic late payers - so Chilean finance teams know which relationships to protect and which to escalate.

Start by segmenting customers by risk and revenue impact, automating reminders and multi‑channel dunning for SMBs while reserving personalised calls and negotiated terms for large accounts, then push autopay enrolment and online payment links to reduce friction (see practical tips in ConnectWise's guide to reducing aging A/R).

Weekly ageing reviews, KPI tracking (DSO, CEI) and clear escalation rules turn the report into an action plan rather than a ledger snapshot (best practices from Quadient and the ApprovalMax ageing guide).

The payoff is simple and vivid: stop letting invoices “harden” into uncollectible balances in the 90+ bucket - act early with the right mix of automation, human follow‑up and commercial judgment.

CustomerCurrent (1-30)31-6061-90Over 90 days
Customer A$400$0$0$10
Customer B$100$500$1,000$5,000
Customer C$0$200$200$0
Total$500$700$1,200$5,010

Unmatched Vendor Invoices & High-Risk AP - "Show new vendor invoices this month without matching POs and flag high-risk invoices (over threshold) at risk of late payment."

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Unmatched vendor invoices are a practical pain point for Chilean AP teams because anything that slips past PO matching or exceeds tolerance thresholds can become a late‑payment liability or a duplicate‑payment risk; modern systems flag those discrepancies automatically and route them for resolution so cash forecasts stay reliable.

Build prompts that list

new this month

invoices without matching POs, surface match variances that exceed configured tolerances, and prioritise items at risk of late payment for immediate review - invoice matching rules (two‑way, three‑way and tolerance checks) are covered in Microsoft's Accounts Payable invoice matching guidance, while unreleased and unmatched invoices appear in reconciliation queues for human review per Infor's reconciliation workflow; when an item is flagged as unmatched, procedures exist to manually match it to the PO or contract line (see SAP's guidance on resolving unmatched invoice exceptions).

A three‑way match (PO, receipt, invoice) is the practical trifecta to stop overpayments and speed approvals, so prompts should also flag non‑PO invoices and high‑risk items for hold or expedited vendor follow‑up before they erode supplier trust or cash reserves (learn more about three‑way matching here).

Match typeWhat it checksWhen to use
Two‑wayInvoice vs. Purchase Order (price/quantity)Simple purchases without goods receipt
Three‑wayPO + Invoice + Goods ReceiptPhysical goods, avoids paying for undelivered items
Four‑wayPO + Invoice + Receipt + Receiving reportHigh‑value/quality‑sensitive procurements

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GL Variance & Missing Recurring Transactions - "Flag GL accounts with missing expected recurring transactions or >10% variance vs. prior month and draft audit-ready explanations."

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Keep the GL honest for Chilean teams by having prompts that automatically flag accounts with missing expected recurring entries (rent, amortization, payroll accruals) or any line with a >10% month‑over‑month move, convert totals to CLP for consistent review, and require an “audit‑ready” explanation tied to workpapers and an owner - that's the difference between a tidy close and an auditor interrupting the next board meeting.

Use configurable thresholds and enforced comments so material swings are caught and certified (Trintech's variance analysis playbook explains why thresholds + required commentary are non‑negotiable), and feed the flagged lines into an automation tool that pulls trial‑balance detail from your ERP and drafts clear, sourced narratives to speed reviews (see Numeric's guidance on automating variance explanations).

In practice, this means fewer surprise reconciling items at month‑end, faster responses to Chilean auditors, and a repeatable workflow that turns variance alerts into concrete next steps rather than frantic spreadsheet searches.

“to track when something is done and who's doing it, so you can keep on top of everything.”

Conclusion: Next Steps - How to start using these prompts in your Chilean finance team

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Ready to move from curiosity to action? Start with a tight pilot: pick one high‑impact prompt (cash‑by‑entity, 13‑week refresh, AR ageing, unmatched AP, or GL variance), wire it to clean, governed source data, and measure time‑to‑decision and error reduction - Grant Thornton's playbook stresses that data quality, governance and phased rollouts are the foundation for long‑term value (Grant Thornton AI guidance for finance operations).

Use DFIN's stepwise prompt approach to have models work one step at a time and always require human review for audit‑ready outputs (DFIN useful AI prompts for financial reporting).

In Chile, prioritise CLP consolidation and FX exposure in the first sprint so treasury can spot liquidity gaps before the morning coffee, run weekly KPIs that feed an automated 13‑week view, and redesign junior roles to validate AI outputs rather than replace them (focusing automation where it reduces drudgery).

Train staff on prompt design and governance - a practical option is the AI Essentials for Work bootcamp to learn prompt writing and workplace application (AI Essentials for Work bootcamp - prompt writing for the workplace) - then scale in controlled phases, keep clear audit trails, and treat each prompt as a repeatable, measurable process that returns time for higher‑value finance work.

BootcampLengthEarly Bird CostRegistration
AI Essentials for Work15 Weeks$3,582Register for AI Essentials for Work bootcamp

“With the right strategy, CFOs can create substantial benefits by deploying emerging technologies such as AI.” - Ronald Gothelf, Managing Director, Grant Thornton Advisors LLC

Frequently Asked Questions

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What are the top 5 AI prompts finance teams in Chile should use in 2025?

The article highlights five high‑impact prompts: 1) Total Cash Position by Entity – aggregate bank balances, convert to CLP, and show bank‑level FX exposure with suggested actions (sweep/hedge/hold); 2) 13‑Week Forecast Refresh – pull latest actuals, roll the window forward, show weekly CLP consolidated inflows/outflows/ending balances and scenarios; 3) Open AR by Aging Bucket – bucket receivables (0–30, 31–60, 61–90, 90+), list top 10 overdue customers and recommend collection actions; 4) Unmatched Vendor Invoices & High‑Risk AP – list new invoices without matching POs, flag match variances and items at risk of late payment; 5) GL Variance & Missing Recurring Transactions – flag accounts with missing recurring entries or >10% month‑over‑month variance and draft audit‑ready explanations tied to workpapers and owners.

How were these prompts selected and validated (methodology and pilots)?

Prompts were chosen by mapping high‑value Chilean finance tasks to proven prompt design and ROI practices. Each prompt followed the C.S.I.R. structure (Context, Specific info, Intent, Response format) for clarity. Prompts were classified as vertical (deep, function‑specific) or horizontal (broad, adoption‑focused) to prioritise impact vs reach. Pilots ran against real CLP conversion and FX‑exposure scenarios with outcome‑based KPIs, short time‑to‑value targets, and integration/data‑quality checks to ensure audit‑ready outputs and practical treasury value.

What measurable benefits and market context should Chilean finance leaders expect from using these prompts?

Expect faster, repeatable tasks (fraud detection, document processing, customer automation), earlier liquidity visibility (spot gaps before the morning coffee), reduced manual work and quicker decision cycles. The broader LATAM AI in finance market is projected to grow from USD 1,536 million in 2023 to USD 13,097 million by 2032 (26.9% CAGR), underscoring rapid adoption. Pilot KPIs should include time‑to‑decision, error reduction, number of flagged issues resolved before escalation, and lead time improvement for treasury actions (e.g., identifying shortfalls 8–10 weeks ahead in a 13‑week view).

What practical integrations, Chile‑specific considerations and governance are required to use these prompts safely?

Connect AI prompts to governed source systems: bank feeds (CAMT/MT940), ERP/trial balance, and FX conversion logic. Prioritise CLP consolidation and bank‑level FX exposure (LBTR/RTGS settlement context) for treasury pilots. Implement data quality checks, threshold rules, enforced commentary for material variances, and human review for audit‑ready outputs (per DFIN/Aisera guidance). For AML/CTF compliance, ensure prompts support UAF monitoring and that flagged transactions follow established escalation and evidence trails. Use phased rollouts, clear ownership, and maintain auditable logs of prompt inputs, model outputs and reviewer sign‑offs.

How should a Chilean finance team start (pilot, training and next steps)?

Start with a tight pilot: pick one high‑impact prompt (cash‑by‑entity is recommended), wire it to clean, governed data, and measure time‑to‑decision and error reduction. Use stepwise model prompts and always require human validation for audit readiness. Train staff on prompt design and governance - the article recommends options like the 'AI Essentials for Work' bootcamp (15 weeks, early bird cost cited as $3,582) to build prompt‑writing skills. Scale in controlled phases, prioritise CLP/FX visibility in early sprints, and redesign junior roles to validate AI outputs rather than replace them.

You may be interested in the following topics as well:

  • See concrete examples of AI use cases in Chilean finance from invoice OCR to automated forecasting that are already live in 2025.

  • Reduce DSO and automate cash application workflows by piloting HighRadius for order‑to‑cash and treasury tasks.

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Ludo Fourrage

Founder and CEO

Ludovic (Ludo) Fourrage is an education industry veteran, named in 2017 as a Learning Technology Leader by Training Magazine. Before founding Nucamp, Ludo spent 18 years at Microsoft where he led innovation in the learning space. As the Senior Director of Digital Learning at this same company, Ludo led the development of the first of its kind 'YouTube for the Enterprise'. More recently, he delivered one of the most successful Corporate MOOC programs in partnership with top business schools and consulting organizations, i.e. INSEAD, Wharton, London Business School, and Accenture, to name a few. ​With the belief that the right education for everyone is an achievable goal, Ludo leads the nucamp team in the quest to make quality education accessible