Top 10 AI Tools Every Finance Professional in Peru Should Know in 2025

Finance teams across Peru are already feeling the push to adopt AI in 2025 because it tackles the exact headaches local institutions face - fraud detection, smarter credit scoring and real‑time risk signals that can flag suspicious payments in seconds - helping banks and fintechs scale inclusion while meeting tougher oversight (see Chambers' Fintech 2025 Peru guide).

Peru's risk‑based AI framework (Law 31814) and growing regulator focus mean finance leaders must balance innovation with transparency and human oversight; practical AI skills - prompting, tooling and scenario modelling - turn promising pilots into audit‑ready workflows (read a concise Law 31814 overview).

For teams ready to move from theory to a tested automation pilot, Nucamp's AI Essentials for Work teaches workplace AI skills and prompt craft in a 15‑week, hands‑on format.

Attribute	Information
Program	Nucamp AI Essentials for Work syllabus
Length	15 Weeks
Courses included	AI at Work: Foundations; Writing AI Prompts; Job Based Practical AI Skills
Cost (early bird)	$3,582
Registration	Register for Nucamp AI Essentials for Work bootcamp

Tools were chosen by asking one practical question: will this vendor help a Peruvian finance team turn an experiment into an auditable pilot that maps to real LatAm trends? The shortlist started with regional signals - embedded finance, real‑time payments and generative AI - from Edu Moore's Fintech Predictions for 2025, then filtered for measurable finance adoption and change management evidence highlighted in CCH Tagetik's “AI in Finance” research, and finally checked against Peru's specific readiness constraints reported by the IMF (low labor exposure to AI) so preference went to low‑friction, governance‑friendly solutions that can flag suspicious payments in seconds or produce investor‑ready slides from messy spreadsheets.

Each candidate needed clear business outcomes (forecast accuracy, faster closes, fewer reconciliations), demonstrable controls for auditors, and a short pilot path that local teams can staff and sustain; that mix keeps the list practical for banks, fintechs and corporate treasuries across Peru while staying aligned with LatAm's 2025 fintech wave.

Selection criterion	Supporting source
Alignment with LatAm fintech trends (embedded finance, GenAI)	Eduardo Moore - Fintech Predictions for 2025 (embedded finance and generative AI)
Evidence of finance adoption and measurable outcomes	CCH Tagetik - AI in Finance research report: measurable adoption and outcomes
Peru-specific readiness and skills constraints	IMF analysis - AI exposure and labor readiness in Peru (2024)

For Peruvian FP&A teams pushing from pilots to audit‑ready automation, Anaplan is a practical platform for connected planning that stitches strategic, financial and operational plans into a single, auditable source of truth - helpful when regulators and auditors want traceability across scenarios.

Its AI‑infused scenario modeling and driver‑based forecasts let teams build aggressive, conservative and “what‑if” views without rebuilding models, while PlanIQ brings AutoML and ensemble forecasts to time‑series prediction so Peru‑focused forecasts can refresh automatically as new data lands.

Anaplan also supports multi‑currency reporting, detailed audit trails and role‑based access (useful for banks and corporates with tight controls), plus ready model examples for banking, cash flow and long‑range planning that accelerate implementation.

Finance leaders looking to shorten pilot cycles and produce investor‑ready scenarios should review Anaplan's FP&A solutions and PlanIQ documentation to see which prebuilt models match local use cases and data maturity.

Capability	Notes from research
Connected FP&A	Anaplan Connected Planning for Financial Planning & Analysis
PlanIQ (ML forecasting)	Anaplan PlanIQ AutoML and Ensemble Time‑Series Forecasting
Controls & reporting	Multi‑currency, detailed audit trails, role‑based security, management reporting

DataRobot brings automated, explainable time‑series and cash‑flow forecasting that can help Peruvian finance teams move from static spreadsheets to operational forecasts - its time‑series workbench automates feature engineering and multiseries models (the platform paper even flags that a single SKU across 5,500 stores can produce more than five million predictions), while the Cash Flow Forecasting App plugs into ERPs like SAP and NetSuite to deliver real‑time visibility into payment timing and working capital needs; together these features reduce surprise borrowing and let treasuries plan with confidence.

The platform pairs no‑code UI and API deployment paths so small analytics teams can train, monitor and swap challenger models without lengthy engineering cycles, and its financial‑services controls (automated compliance docs, model governance and drift monitoring) speak directly to auditors and regulators who demand traceability.

For Peruvian banks, fintechs and corporates that need faster, auditable pilots - expect sharper risk models, fewer false positives in fraud detection, and shorter time to production when DataRobot's AutoTS and Cash Flow tools are applied in a governed way.

Impact metric	Result reported
Risk model accuracy	3–10% improvement (Nucleus Research)
False positive reduction (fraud/AML)	25–40% reduction (Nucleus Research)
Model development time	Up to 50% faster (Nucleus Research)

“DataRobot gives you all the tools you need. It will democratize machine learning across the whole business.”

For Peruvian finance teams moving from pilots to audit‑ready automation, BlackLine's Verity AI offers a tightly governed path: a unified data layer that integrates with ERPs, AI agents that automate account reconciliations and collections, and explainable variance analysis so month‑end headaches become predictable.

Verity Prepare and Verity Flux automate account substantiation and variance explanations, Verity Collect speeds AR outreach, and Verity Narrate drafts polished summaries - together they cut manual work and surface anomalies with full audit trails, turning hours of investigation into seconds of insight.

That control‑first design matters in Peru, where regulators and auditors require traceability for AI‑driven decisions; large corporates will value BlackLine's enterprise controls and high‑volume matching, though teams should plan for a multi‑month rollout and change management.

Finance leaders who need faster closes, stronger SOX‑style controls, and a single source of truth should review BlackLine Verity AI and the Verity agents for concrete use cases and implementation tradeoffs.

Metric	BlackLine result
Three‑year ROI	621%
Receivables automatically matched	91%
Reduction in audit time	50%
Reduction in close time	70%
Journal entry automation	97%

“With Verity, we are giving finance professionals AI they can trust - powerful, transparent, auditable, and purpose‑built for the demands of the office of the CFO.”

For Peruvian treasuries and order‑to‑cash teams that need audit‑ready liquidity and faster collections, HighRadius positions its Autonomous Finance suite as a practical bridge from pilots to production: a continuously learning platform for O2C, treasury and R2R that promises dramatic working‑capital gains and traceable outcomes.

Its cash‑flow engines claim 95%+ forecast accuracy and a 70% lift in forecasting productivity while cutting idle cash (and related borrowing) by roughly half - results that translate directly into fewer surprise short‑term loans for businesses operating in Peru's volatile FX and payments environment.

Autonomous Receivables tools prioritize collector worklists, predict invoice‑level payment dates, and automate cash application so routine tasks become largely touchless; the vendor already reports Cash Application and Cash Forecasting at ~90% touchless automation and ties deployments to Mutually Agreed Success Criteria (MASC) for measurable KPIs auditors can review.

Finance leaders evaluating faster closes, lower DSO and clearer audit trails should review HighRadius' Autonomous Finance overview and its cash‑forecasting proof points before sizing a six‑month pilot for local banking, corporate treasury or large‑scale receivables operations.

Metric	Result
Forecast accuracy	HighRadius cash flow forecasting software
Forecast productivity	70% boost
Idle cash reduction	50% reduction
Touchless automation (Cash App & Forecast)	~90% touchless
Agentic AI footprint	186 AI agents (platform update)

“Autonomous means the end-to-end process is 90%+ touchless. Users will only work on exceptions.”

For Peruvian finance teams wrestling with fragmented procurement, FX volatility and tighter audit expectations, Coupa offers an AI‑native Total Spend Management platform that unifies direct and indirect spend into a single, auditable lens - backed by a community dataset of about $8 trillion and 10M+ suppliers to benchmark prices, expose tail‑spend savings and surface anomalies before payments clear.

Coupa's evolving Navi agent portfolio brings conversational, agentic AI to everyday workflows - speeding approvals, generating contract summaries with Contract Intelligence, and answering policy questions - while no‑code analytics and Spend Analysis dashboards make it practical to run pilot use cases without heavy IT lift.

New AI features include real‑time payment‑security alerts, automated transaction summaries and inventory collaboration to reduce carrying costs - capabilities that help treasury and procurement teams move from one‑off fixes to repeatable, auditable savings.

Finance leaders in Peru should consider Coupa when the goal is measurable margin improvement, continuous supplier benchmarking and stronger controls that scale across regional operations.

Learn more about Coupa's AI platform and the agentic AI announcement to evaluate fit for local pilots.

Capability	What it delivers
Community data advantage	Benchmarks and recommendations from ~$8T in anonymized spend
Agentic AI (Navi)	Conversational agents for faster approvals, analytics and knowledge queries
Fraud & payment security	AI‑driven alerts and anomaly detection across invoices and payments

Vic.ai's AI‑first APSuite turns a chaotic pile of invoices into an auditable, near‑autopilot workflow - automatic invoice ingestion, PO matching and routed approvals that surface only true exceptions - helpful for Peruvian AP teams that must tighten controls and capture early‑payment discounts without ballooning headcount.

The vendor touts concrete lifts: up to 80% lower invoice processing costs and 4x faster approvals, plus real‑time insights to manage cash timing and supplier risk, all driven by models that mimic human decisions and learn from historical patterns.

See the Vic.ai APSuite overview for accounts payable and the AI invoice processing explainer.

For finance leaders in Peru, that means fewer manual reconciliations, faster capture of discounts and clearer audit trails for regulators - imagine converting a week's worth of unpaid invoices into a single, prioritized worklist in the time it takes to brew a coffee.

Review the Vic.ai APSuite product page and the AP autonomy guide explaining Vic.ai AP Autonomy to map a short, governed pilot that proves value and leaves auditors satisfied.

Capability	Claim / Result
Invoice processing & APSuite	Automatic invoice ingestion, PO matching, and routed approvals via Vic.ai APSuite
Cost & speed impact	Approximately 80% lower processing costs; 4x faster approvals as reported by Vic.ai
How it works	AI models that mimic human decisions and learn from historical AP patterns

AppZen brings a practical, audit‑first approach to T&E for Peruvian finance teams: its AI audits 100% of expenses in real time (often in only a few minutes), matches receipts across reports and cards to catch duplicates, and flags suspicious merchants or out‑of‑policy spend before reimbursement clears - critical when FX swings and cross‑border travel complicate controls in Peru.

The platform audits spend in 42+ languages and is available across Latin America (including Peru), integrates with Concur and major card networks, and embeds regulatory checks for FCPA, Sunshine Act and PEP detection so auditors get traceable decisions instead of hand‑rolled guesses.

Smart Workflows and AI Agents automate routine approvals and are shown to auto‑approve large volumes of low‑risk claims while surfacing the right exceptions for human review, freeing small teams to focus on investigation and policy design.

Finance leaders sizing a short, governed pilot should review the AppZen Expense Audit product overview to map which integrations and rule sets fit local compliance needs.

Capability	Research note
Full coverage	Audits 100% of expenses in real time (AppZen Expense Audit)
Global / LatAm support	42+ languages, 97 countries; listed availability includes Peru
Integrations	Prebuilt integration with Concur Expense and card networks
Automation impact	AI Agents automate ~50% of T&E tasks; case study shows ~60% auto‑approval rates

“The reason that we wanted to go with AppZen was the ease of use and implementation alongside [our EMS]. We had a lot of things missing in our process, and things like finding duplicates couldn't be done by our team alone. AppZen has completely changed the way we audit, now.”

Peruvian private equity teams that need investor decks and board packs that actually drive decisions will find Prezent's AI built for this exact task: Story Builder turns scattered diligence notes and messy model outputs into a clear, audience‑focused framework in minutes, while Astrid behaves like a one‑person consulting, comms and design team - structuring the narrative, polishing messaging for executives, and applying brand templates so every slide is board‑ready and audit‑friendly (see Story Builder and Astrid for details).

Use Auto Generator to spin up multiple tailored versions from spreadsheets, PDFs or simple prompts, then synthesize an executive summary for limited partners without late‑night formatting work; the result is consistent visuals, tightened storylines and far less agency spend, freeing teams to focus on valuation and scenarios rather than slide layout.

For PE firms operating in Peru's evolving regulatory and investor landscape, that speed plus contextual intelligence makes fundraising and board reporting repeatable, defensible and noticeably faster - often converting a chaotic diligence folder into a crisp investor narrative in minutes.

Capability	Why it matters
Prezent Story Builder AI for investor decks	Instant, expert‑built presentation frameworks to organize complex investment stories
Prezent Astrid contextual AI assistant for presentations	Industry‑aware agent that crafts strategy, messaging and on‑brand visuals
Prezent Auto Generator for automated deck generation	Generates polished decks from prompts, files or data - fast
Slide Library & rating	35K+ branded slides; 4.7/5 user rating

“Prezent eliminated 80% of the manual work, so we could focus on what really mattered.”

Peruvian private equity teams and their portfolio companies face the same fast‑moving, cloud‑first threats that Darktrace designed its ActiveAI Security Platform to stop: self‑learning models build a unique “pattern of life” for each user, device and SaaS connection so novel attacks - from credential abuse to stealthy lateral movement - get flagged in real time across network, cloud and email.

That behavior‑first approach is especially relevant for PE firms overseeing multiple cloud‑native assets and complex vendor integrations; Darktrace's platform pairs rapid anomaly detection with autonomous investigations to reduce triage time and surface high‑risk incidents auditors can review (see Darktrace Cyber AI overview and its Darktrace Financial Services spotlight).

Darktrace's email work defeating targeted phishing and BEC has cut manual email investigations by roughly 90% after initial learning, and the vendor's case notes show how monitoring SaaS and OAuth activity can stop token‑abuse campaigns before data leaves the environment - an operational safety net that helps protect deal processes, investor data and runway‑critical treasury systems.

After a short data‑ingestion period teams often gain much clearer visibility across hybrid estates, turning weeks of noisy alerts into a prioritized, auditable incident feed.

“There has never been a more urgent need for AI in the SOC to augment teams and pre-empt threats so organizations can build their cyber resilience. That's why Darktrace continues to invest in new innovations to help customers manage risk and thrive in this new era of AI threats.”

Zest AI brings ML-driven underwriting that matters for Peruvian private equity firms and their portfolio lenders because it combines speed, explainability and built‑in fairness - helpful when regulators and investors demand auditable credit decisions.

Its AI‑automated underwriting claims 2–4x more accurate risk ranking than generic models, can reduce loss by 20%+ while lifting approvals ~25%, and auto‑decides a large share of applications (around 60–80%), turning slow manual reviews into near‑instant outcomes; a typical speed win cited is cutting a six‑hour decision process down exponentially.

Zest's tooling includes fraud detection and lending intelligence, a rapid proof‑of‑concept path (custom POC in ~2 weeks and integration possible in as little as 4 weeks), and explicit techniques to reduce bias (adversarial debiasing and explainability) so portfolio lenders can grow responsibly.

PE teams sizing deals or scaling consumer and SME finance operations should review Zest AI's underwriting docs and the recent Temenos integration to judge how quickly a governed pilot could strengthen origination, lower delinquencies and make credit underwriting a repeatable, investor‑ready capability.

Metric	Reported result
Risk ranking accuracy vs generic models	2–4× more accurate
Risk reduction (holding approvals constant)	20%+
Approval uplift	~25% lift
Auto‑decision / automation	60–80% of decisions automated (typical ranges reported)
POC & integration timeline	POC ~2 weeks; integrate as quickly as 4 weeks

“Zest AI brought us speed. Beforehand, it could take six hours to decision a loan, and we've been able to cut that time down exponentially. Zest AI has helped us tremendously improve our efficiency and member experience.” - Anderson Langford, Chief Operations Officer

Choosing the right AI mix for a Peruvian finance team - especially private equity firms and their portfolio companies - means balancing immediate, measurable wins (AP automation, cash forecasting, expense auditing) with governance that satisfies auditors and regulators; start with a narrow, high‑value pilot that produces traceable outcomes and scales from there.

Practical roadmaps like a 90‑day AI action plan for Peruvian finance pros can turn abstract promise into an auditable pilot, while vendor choices should prioritize explainability, native ERP integrations and demonstrable ROI for FP&A, treasury and credit use cases; see CohnReznick's playbook on transforming budgeting and forecasting with AI for concrete use cases and risk mitigations.

For teams that need hands‑on skills to run those pilots and write prompt‑based workflows, the Nucamp AI Essentials for Work 15‑week bootcamp maps workplace AI skills to audit‑ready tasks so finance teams can deploy tools confidently and defend decisions to investors and regulators - think faster closes, clearer credit decisions and cleaner due diligence that make capital moves less risky and faster to execute.

Attribute	Information
Program	Nucamp AI Essentials for Work syllabus
Length	15 Weeks
Courses included	AI at Work: Foundations; Writing AI Prompts; Job Based Practical AI Skills
Cost (early bird)	$3,582
Registration	Register for Nucamp AI Essentials for Work