Top 10 AI Tools Every Finance Professional in Viet Nam Should Know in 2025

Finance professionals in Viet Nam can no longer treat AI as a distant trend - 2025's landscape ties new rules, government incentives and a regulatory sandbox to real business upside: AI is already powering KYC automation, real‑time fraud detection and smarter credit scoring across local banks, and major investors such as NVIDIA are expanding R&D in‑country, signalling scale opportunities for finance teams (see Vietnam's evolving AI regulations).

With the domestic AI market expanding quickly - valued at about USD 753.4 million in 2024 - leaders must balance compliance, data sovereignty and upskilling to capture value (see the AI market outlook).

Practical skills matter: learning to write effective prompts and use AI tools for reporting, forecasting, and controls is why programs like the AI Essentials for Work bootcamp can be a fast, job‑focused path to apply AI across treasury, FP&A and audit workflows.

One vivid payoff: Vietnamese AI adoption aims to turn manual document queues into near‑instant, explainable insights that help finance teams spend less time reconciling and more time advising the business.

Metric	Value (Source)
Vietnam AI market (2024)	USD 753.4 million (Nexdigm)
Projected AI contribution to GDP by 2030	USD ~79.3 billion (market analyses)

“Vietnam's biggest ‘superpower' is family values and respect for education. Vietnamese people excel in STEM fields, especially math and science. This makes Vietnam the second-largest supplier of software engineers in the world – a fact that few people know about. With this potential, we believe that Vietnam is an ideal place for NVIDIA to develop R&D centers and build a strong AI ecosystem here.” – Jensen Huang, CEO of NVIDIA.

Selection focused on what actually moves the needle for finance teams in Viet Nam in 2025: tools had to show clear applicability to banking and corporate finance workflows, fit within Vietnam's evolving regulatory and data‑sovereignty regime, and scale on the local infrastructure that's emerging this year.

Priorities included (1) local relevance - Vietnamese language support and templates for KYC, credit scoring and reconciliations to reduce manual document queues into near‑instant, explainable outputs; (2) compliance and sandbox readiness - compatibility with draft digital‑technology and personal‑data rules and the regulatory sandbox that Vietnam is rolling out; (3) sector fit and proven ROI - pedigree in BFSI use cases (fraud, treasury, FP&A) where digital adoption is accelerating; and (4) deployability at scale - integration with growing local cloud and HPC investments so models can run with proper data governance.

These criteria reflect Vietnam's rapid AI expansion and policy push (see Vietnam's AI Growth Landscape in 2025) and the government's regulatory and incentive framework that investors and vendors now must navigate (see Vietnam's AI Sector in 2025: Regulatory Frameworks & Opportunities for Investors).

The result: tools chosen are not hypothetical best‑of‑breed but practical, compliant, and surfaced for teams that need predictable cost savings and faster decision cycles.

Selection Criterion	Why it matters for Viet Nam (2025)
Local relevance & language	Vietnamese models and templates accelerate bank and SME adoption (localised solutions cited in Vietnam's AI Growth Landscape).
Regulatory & sandbox compatibility	Draft laws, regulatory sandboxes and data rules mean safe pilots beat risky customization (see Vietnam's AI Sector in 2025).
Sector fit & proven ROI	Tools with BFSI case studies (fraud, credit, treasury) align with rapid digital banking growth and e‑commerce demand.
Scalability & data sovereignty	Supports deployment on local cloud/HPC and national data initiatives to meet sovereignty and performance needs.

“Vietnam's biggest ‘superpower' is family values and respect for education. Vietnamese people excel in STEM fields, especially math and science. This makes Vietnam the second-largest supplier of software engineers in the world – a fact that few people know about. With this potential, we believe that Vietnam is an ideal place for NVIDIA to develop R&D centers and build a strong AI ecosystem here.” – Jensen Huang, CEO of NVIDIA.

Prezent brings a practical way for finance teams in Viet Nam to turn dense reports into board-ready decks without the endless last‑minute formatting: its enterprise AI platform (see Prezent) auto-generates slides from prompts, files, or data, applies brand and compliance rules, and uses the Astrid copilot to shape storylines so a “blank slide” becomes a deck that's ~90% done - freeing analysts to focus on insights, not design.

Tailored features for financial reporting - Auto Generator, Story Builder, and a 35,000+ slide library - help produce investor updates, audit‑ready summaries and CFO briefings faster while keeping enterprise security and audit trails in place (learn more on Prezent's financial presentation software).

For Vietnamese banks, fintechs and corporate FP&A teams under tighter reporting timelines, that speed translates into more timely decisions and cleaner regulatory submissions without outsourcing to costly agencies.

Feature	Benefit for Finance Teams
Auto Generator	Create complete, on‑brand financial decks from prompts and data
Story Builder & Slide Library	Use finance-specific frameworks and 35K+ templates to standardize reporting
Enterprise security & compliance	Audit-ready slides with SSO, SOC 2 and data governance controls

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

For Vietnamese finance teams that need reliable demand, cash‑flow and stress forecasts, DataRobot turns messy historical ledgers and POS streams into production‑ready time‑series models with guardrails for regulated environments: its Time‑series modeling workflow automates feature derivation (Feature Derivation Window and Forecast Window), supports multiseries projects (think thousands of SKUs across hundreds of stores) and even flags “known in advance” variables or calendars for holidays and promotions so forecasts reflect real events (see DataRobot Time‑series modeling documentation).

The platform also surfaces explainability - feature lineage, Accuracy‑Over‑Time and prediction intervals - and MLOps controls so models in production can be monitored, swapped for challengers, or retrained as markets shift.

That scale matters in practice: a single item forecast can balloon into millions of predictions across SKUs and outlets, and DataRobot's AutoTS and deployment paths help turn those outputs into operational signals for FP&A, treasury and retail finance (read the AI‑powered time series forecasting guide).

Feature	Why it matters for finance teams in Viet Nam
Automated time series / AutoTS	Forecast multiple future values and accelerate model lifecycles for sales, cash and liquidity planning
Multiseries & cross‑series	Scale forecasts across stores, branches or loan portfolios without hand‑building millions of models
Known‑in‑advance & Calendars	Incorporate promotions and public holidays to improve accuracy on event‑driven forecasts
Prediction intervals & explainability	Provide conservative ranges and feature impact for auditors and regulators
MLOps / Deployments	Monitor drift, retrain or promote challenger models to keep forecasts trustworthy in production

HighRadius brings autonomous finance to Order‑to‑Cash and treasury with agentic AI that blends ML, NLP and generative models to speed credit checks, invoicing, collections and cash application - helping businesses cut past dues by about 20% and shave DSO while boosting team productivity (see HighRadius Order-to-Cash software for accounts receivable).

Its AI agents prioritize high‑value AR work, surface data‑driven collection actions and use pre‑built matching algorithms so cash postings reach a 90%+ same‑day automation rate, turning messy remittances into reconciled receipts instead of manual follow‑ups (read the HighRadius Cash Application Management solution brief).

For finance teams in Viet Nam, that means faster liquidity visibility, fewer disputed invoices and fewer bank key‑in fees - especially when remittance portal automation pulls payments from 100+ AP portals - while preserving explainability and audit trails required for local compliance (learn about an introduction to HighRadius AI agents for Order-to-Cash processes).

Metric / Feature	Impact (Source)
Reduce past dues	~20% (HighRadius)
Reduce DSO	~10% (Order To Cash Suite)
Productivity uplift	30–40% across O2C teams
Same‑day cash application	90%+ automation rate (Cash Application Management)
Remittance portal automation	Integrates 100+ AP portals (Remittance Portal Automation)

BlackLine brings enterprise-grade close and reconciliation automation that matters for Vietnamese finance teams facing tighter reporting cycles and multi-entity complexity: its Verity AI layer turns a messy mix of ledgers, bank feeds and spreadsheets into a single source of truth that supports high‑frequency reconciliations, real‑time monitoring and auditable explanations - so month‑end surprises become daily tickets flagged and routed for review instead of last‑minute fire‑fighting.

Built to integrate with major ERPs and to automate matching at scale, BlackLine promises measurable wins - faster closes, fewer manual patches and clearer controls - while still requiring thoughtful implementation for mid‑to‑large firms (smaller teams often compare alternatives for lower overhead).

For finance leaders in Viet Nam who must balance data sovereignty, audit readiness and speed, explore how Verity AI embeds explainability into reconciliation workflows and read a practical review of the reconciliation module to weigh fit and cost before committing.

Metric	Reported Result (Source)
Reduction in audit time	50% (BlackLine)
Reduction in close time	70% (BlackLine)
Journal entry automation	97% (BlackLine)
Receivables matched automatically	91% (BlackLine)

“It's not just a shorter close, it's a more efficient close.” - Catherine Braeuer, Director, Global Financial Reporting Transformation

BlackLine Verity AI reconciliation automation BlackLine Reconciliation review by Numeric

AppZen brings real‑time, prepayment spend auditing and AP automation that's practical for finance teams operating in Viet Nam: its Finance AI can audit 100% of expense reports, read receipts in dozens of languages and flag duplicates, policy breaches or suspicious merchants before reimbursement, so a duplicate invoice or covert card charge can be stopped minutes before it hits the ledger.

The platform's duplicate‑detection and Star Match capability cross‑references receipts, cards and invoices to eliminate waste immediately, AI Agents can automate roughly 50% of routine T&E reviews, and built-in checks (including fapiao validation and anti‑bribery rules) help multinational teams meet regional compliance needs.

For teams using SAP Concur or looking for a plug‑and‑play solution in Asia, AppZen's integrations and Asia Pacific coverage (Vietnam included) make it a strong option to improve policy compliance, reduce manual approvals, and surface prescriptive analytics that help managers coach better spend behaviour - turning expense audit into a proactive control rather than an end‑of‑month headache.

Learn more on the AppZen Expense Audit solution or the AppZen listing on the SAP Concur App Center.

Capability	What it means for Viet Nam finance teams
100% prepayment expense audit	Catch policy violations before payment
Duplicate detection across reports/cards/invoices	Stop duplicate reimbursements and save money immediately
42 languages & Asia Pacific coverage (includes Vietnam)	Supports regional travel and multinational operations
AI Agents automating T&E	Automate ~50% of routine expense reviews to free analyst time
Integrations (e.g., Concur)	Fast deployment within existing expense workflows

“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.”

Coupa packs AI-native spend management into a single platform that can help finance teams in Viet Nam move from reactive purchasing to strategic, margin‑focused decisions: its Navi™ multiagent AI and community-generated models leverage an $8T, 10M+ buyer‑supplier network to surface prescriptive scenarios, match buyers and suppliers dynamically, and automate routine source‑to‑pay tasks so tail spend and manual PO approvals no longer hide savings (see the Coupa Navi™ multiagent AI announcement).

Coupa's platform also unifies direct and indirect spend, offers Inventory Collaboration and Tariff Impact Planning for import‑sensitive supply chains, and uses AI‑powered transaction summaries, payment‑security alerts and health insights to cut fraud, bottlenecks and carrying costs - features that translate into clearer cash visibility and faster procurement cycles for Vietnamese corporates and banks exploring automated sourcing or supplier consolidation (learn more on the Coupa AI platform).

Feature	Why it matters for Viet Nam finance teams
Coupa Navi™ agents	Automate approvals, analytics and supplier matching to reduce manual sourcing work
Unified Total Spend + Advantage Marketplace	Expose tail spend and pre‑negotiated rates to capture savings across indirect purchases
Inventory Collaboration & Tariff Impact Planning	Improve working capital and plan for import/tariff risks common to Vietnam supply chains
AI transaction summaries & payment security alerts	Speed reviews, detect anomalous payments, and tighten controls before payments clear

“Coupa is transforming global trade by using multiagent AI capabilities to dynamically and autonomously match the needs of buyers and suppliers.” - Salvatore Lombardo, Chief Product and Technology Officer, Coupa

Anaplan brings connected planning to Vietnamese FP&A teams by embedding PlanIQ's AI forecasting right inside the planning model so forecasts become an actionable input to budgets, scenario work and workforce plans - no separate data science stack required.

PlanIQ's AutoML and ensemble options let model builders choose algorithms (ARIMA, DeepAR+, CNN‑QR, MVLR and more) while surfacing explainability, prediction intervals and data‑issue checks so auditors and regulators can see what drove a number.

For Viet Nam use cases this matters: PlanIQ ingests related data (promotions, inflation, weather) and country holiday calendars to reduce seasonal and event blindspots, supports cloud connectors (AWS, Azure, GCP) for local data sources, and can be stood up quickly as a pilot - accelerating time to value for retail demand, cash and headcount planning in Vietnamese banks and corporates.

Learn more on the Anaplan PlanIQ forecasting solution and dive into the PlanIQ setup and algorithm documentation.

PlanIQ Feature	Why it helps finance teams in Viet Nam
AutoML & Ensemble algorithms	Fast model selection and scale across SKUs/branches without a large data‑science team
Related data & holiday calendars	Incorporate Tet and other local events to improve accuracy for seasonal markets
Explainability & prediction intervals	Auditable forecasts and confidence bounds for regulators and executive decisions
Embedded in connected planning	Push forecasts directly into FP&A, supply chain and workforce plans for faster scenario analysis

“PlanIQ makes generating precise forecasts easy, taking only 2.5 weeks to get up and running and delivering quick time to value.”

Vietnamese banks, fintechs and corporate treasuries must treat cyber risk as a financial control, and Darktrace's Self‑Learning AI is designed to do exactly that - learn a company's “pattern of life,” spot subtle deviations across email, cloud, network and OT, and autonomously contain incidents in seconds to minutes so an emerging breach doesn't become a multi‑day forensic scramble; see Darktrace threat detection explainer on Darktrace threat detection explainer and the Darktrace Network NDR solution for how the platform tunes itself to each environment while keeping data local.

For finance teams in VN facing SaaS supply‑chain risks, insider threats and targeted phishing, the combination of autonomous response (Antigena), Cyber AI Analyst investigations and tailored anomaly scoring has driven major customers to report far fewer false positives and faster triage - proof points that matter when outages, fraud or regulatory reporting delays carry real balance‑sheet consequences.

Capability	Reported impact / note
Self‑Learning AI	Learns each environment to detect unknown and zero‑day threats
Autonomous response (Antigena)	Neutralizes threats in real time with minimal business disruption
Customer scale & recognition	Over 10,000 customers; recognized in 2025 analyst coverage for NDR

“Ransomware can spread across your network rapidly, so you need tools that can prevent that from occurring. AI can autonomously take control and provide split‑second reactions.” - CIO, City of Las Vegas

Zest AI's machine‑learning underwriting stack is a practical tool for Vietnamese lenders looking to move from slow, rule‑heavy credit decisions to real‑time, auditable approvals: the platform supports embedded, secure APIs for live underwriting and is built around the same governance needs that regulators and risk teams demand, so models can be monitored, explained and documented rather than treated as “black boxes” (see Zest AI's ML‑underwriting guidance).

By pairing these ML approaches with real‑time data feeds - transactional, utility and other event streams - banks can produce dynamic credit scores that help include thin‑file customers while spotting early signs of stress, a shift covered in recent work on real‑time credit analytics (learn more on real‑time data for credit risk).

The practical payoff for Vietnam: faster, fairer lending decisions that scale across branches and digital channels, provided institutions bake in model validation, automated monitoring and clear reason codes so auditors and regulators can trace every decision.

“Bank management should be aware of the potential fair lending risk with the use of AI or alternative data in their efforts to increase efficiencies and effectiveness of underwriting. It is important to understand and monitor underwriting and pricing models to identify potential disparate impact and other fair lending issues. New technology and systems for evaluating and determining creditworthiness, such as machine learning, may add complexity while limiting transparency. Bank management should be able to explain and defend underwriting and modeling decisions.”

FPT Software has moved from systems integrator to a Vietnam‑centric AI powerhouse, blending C‑OpenAI, FPT.AI and the new FleziPT platform to give local banks, insurers and corporates sovereign, Vietnamese‑language NLP and enterprise agents they can deploy on‑prem or in trusted local clouds; FleziPT alone promises faster SDLC cycles - up to 60% quicker delivery - while FPT's AI Factory backs those products with a $200M infrastructure push to “Make‑in‑Vietnam” models and cut training time by one‑third using NVIDIA‑accelerated compute (see the FleziPT launch and FPT.AI overview).

Practical modules - CodeVista for developer acceleration, IvyChat for BFSI automation, and I2 for inspection (99% accuracy) - have real Vietnam wins, from a life insurer that boosted underwriting throughput by 600% to banks using AI eKYC and document extraction to reduce manual queues; for finance teams weighing control, language support and data sovereignty, FPT's full‑stack, locally rooted offerings make pilot‑to‑production paths far easier to govern and audit.

Metric	Value (Source)
2024 Revenue / Market scale	USD 2.47 billion (FPT Software)
Market cap	USD 7.7 billion (FPT Software profile)
AI Factory investment	USD 200 million (FPT AI Factory)
I2 quality control accuracy	99% (FPT AI solutions)
CodeVista / development speed	Cut dev time by ~60%, speed sprints by 80% (FPT AI Center)

“We collaborate with FPT Software AI Center due to their proven capabilities across multiple projects... IvyChat generative AI platform accelerates our AI projects, providing agility, scalability, and security.” - Shusaku Harada, CISD(ASIA)CO.,LTD. Chief Strategy Officer, Itochu

Choosing the right AI tool in Viet Nam in 2025 means matching use case, governance and deployment strategy rather than chasing the shiniest vendor: start with a focused pilot that delivers a measurable finance outcome (cash‑flow accuracy, faster closes, or fewer disputed invoices), use clear ROI and risk metrics from the pilot, and scale only after validating explainability, data lineage and regulatory fit.

Invest in role‑specific AI literacy - executives who can judge strategy, non‑technical teams who can operate copilots, and technical staff who can monitor models - and lean on practical training and ROI frameworks like those in AI education for Vietnam businesses report to make buy vs build decisions responsibly.

Decide early whether a cloud, on‑premises or hybrid approach best protects sovereignty and meets compliance (see practical guidance on AI deployment guidance for banks and fintechs), and embed simple governance: data quality checks, model monitoring, and human review points.

For teams ready to move from pilots to repeatable value, short, applied courses - such as the Nucamp AI Essentials for Work bootcamp - help turn pilots into predictable workflows, trading month‑end fire drills for daily, auditable alerts that free finance people to advise the business, not chase exceptions.