Top 10 AI Tools Every Finance Professional in Brunei Darussalam Should Know in 2025

Finance teams in Brunei Darussalam can no longer treat AI as optional: the Stanford HAI 2025 AI Index shows global AI attention surging (legislative mentions rose 21.3% across 75 countries), while industry research finds over 85% of financial firms actively using AI in 2025, from fraud detection to real‑time forecasting - trends that push AI from back‑office automation into strategic finance work.

Local adopters should weigh the upside - faster, data‑driven planning and anomaly detection - with the new regulatory and governance demands highlighted in RGP's “AI in Financial Services 2025,” and close the trust gap through skills and practical workflows.

For Brunei professionals ready to upskill quickly, a focused program like Nucamp's AI Essentials for Work bootcamp (15 weeks) offers hands‑on prompt training and workplace AI routines; read Stanford's Stanford 2025 AI Index report and RGP's RGP AI in Financial Services 2025 brief to start prioritising safe, high‑ROI AI pilots in 2025.

Bootcamp	Length	Early bird cost	Registration
AI Essentials for Work	15 Weeks	$3,582	Register for Nucamp AI Essentials for Work (registration)

“AI and ML free accounting teams from manual tasks and support finance's effort to become value creators.”

Selection focused on real-world FP&A impact, not buzz: tools had to demonstrably boost automation and forecasting (the Limelight analysis shows automation can speed reporting by up to 85×), support cloud-based, continuous planning and clean data flows, and be practical for teams still anchored to spreadsheets.

Priority criteria were drawn from industry playbooks - AI and automation maturity, cloud integration and security, spreadsheet compatibility for fast adoption, scalability for mid‑market to enterprise needs, and realistic implementation/ROI expectations - guided by frameworks in the Limelight 7 FP&A Trends for 2025 analysis and the Prophix FP&A Platform Buyer's Guide (2024).

Local fit for Brunei mattered too: vendor support for data governance and cloud migration was a gating factor, reflecting the practical steps recommended for Brunei firms in our cloud migration and data governance guidance for Brunei.

The resulting top 10 blends AI-first forecasting, spreadsheet-friendly workflows, and sound implementation pathways so finance teams can move from manual reconciliations to strategic insight in months, not years.

Selection Criterion	Why it mattered
AI & automation	Speeds forecasting, anomaly detection and reporting (industry trend data)
Cloud integration & security	Enables continuous planning and regulatory compliance
Spreadsheet compatibility	Reduces adoption friction for finance teams
Scalability & ROI	Fits mid‑market to enterprise use cases and budgets
Implementation & governance	Realistic rollout plans and data‑governance fit for Brunei

“CFOs today are required to provide more than just financial insights. They're required to provide insights that can drive operational change and guide business strategy, and ultimately provide long-term value to stakeholders.”

For finance teams in Brunei Darussalam that still live in Excel, Datarails offers an “Excel‑first” route to AI: it automates consolidation and monthly reporting while letting organisations keep their existing spreadsheets, so adoption friction is minimal and governance plans (including the cloud migration steps recommended in our Brunei guidance) stay practical - see the Datarails FP&A overview for details Datarails FP&A solution for Excel users.

At the heart of the platform is FP&A Genius, a Large Language Model that answers plain‑English questions from consolidated company data, delivers instant variance explanations and management self‑service, and can turn dashboards into presentations in two clicks; Datarails even advertises “fast finance requests” that can be handled in about 60 seconds Datarails FP&A Genius generative AI assistant.

For Brunei CFOs balancing tight teams and rising regulatory expectations, that combination - secured data handling, conversational insights and automated storyboards - makes rapid, auditable reporting and board‑ready presentations far easier to pilot alongside Nucamp's cloud and governance playbook Nucamp Back End, SQL, and DevOps with Python syllabus - cloud migration & data governance guidance.

Capability	What it means for Brunei finance teams
Excel compatibility	Keep existing models; lower training and change‑management cost
FP&A Genius (LLM chat)	Conversational, data‑backed answers and instant variance insight (60s requests)
Storyboards & automated reports	Create board‑ready presentations and PDFs in two clicks

“With Datarails, we save anywhere between two to five full working days per month. Amazing!” - Jens Stottmann, CFO

Vena Copilot brings agentic, Excel‑friendly FP&A into the heart of where Brunei finance teams already work - Microsoft Teams and Excel - so budget owners can pull variance explanations, run driver‑based scenario sims and generate ad‑hoc reports in seconds without leaving a meeting; see the Vena Copilot product page for details on agent orchestration and Excel Live collaboration Vena Copilot product page - agentic FP&A Copilot for Microsoft Teams and Excel.

Built on Microsoft Azure OpenAI and Vena CubeFLEX, Copilot inherits existing permissions, keeps data inside the Vena environment, and explicitly prevents customer data from training public models - features that matter for Brunei firms planning cloud migration and tighter data governance.

The Teams integration effectively “puts an FP&A analyst in every conversation,” accelerating answers and democratizing analysis for smaller finance teams that need auditability and speed; Vena's launch materials and press coverage show real use cases and early time‑savings that finance leaders can pilot quickly in 2025 Vena Copilot Microsoft Teams integration press release on Business Wire.

“Copilot in Teams is a natural fit - it's where our tools and processes already live. I can answer stakeholder questions faster, keep meetings on track, and cut time spent on recurring tasks by at least 25% - freeing me up to focus on higher‑value work like scenario planning, budgeting and thinking strategically about the future.” - Charles McCumber, Director of Finance, AIR

Anaplan PlanIQ pairs Anaplan's connected planning with Amazon Forecast's ML to give Brunei finance teams enterprise-grade forecasting without a heavy data‑science lift - ideal for retail, CPG and growing corporates that need faster, explainable forecasts tied to real operational drivers.

PlanIQ ingests internal and external signals (seasonality, price, promotions, weather and third‑party data), automatically tests multiple algorithms, and surfaces the best model so teams can move from spreadsheet guesses to repeatable rolling forecasts; the joint solution even helped one company run reports in less than five days and enabled a retailer to forecast 10,000 SKUs at scale.

For Brunei firms planning cloud migration and stronger governance, the Anaplan‑on‑AWS approach (with CloudWorks and S3 connectivity) means forecasts can be embedded directly into P&L, inventory and workforce plans while keeping operations auditable and scalable.

The payoff is concrete: better service levels, lower inventory drag and faster, scenario‑driven decisions that turn historical data into forward momentum - not just charts.

Learn more about PlanIQ's integration with Amazon Forecast on the Amazon Forecast product page and on Anaplan's Anaplan on AWS overview.

Common PlanIQ Use Case	What Brunei finance teams gain
Demand & inventory forecasting	Reduce stock carrying costs and improve replenishment visibility
Revenue & operational planning	Faster, explainable rolling forecasts for P&L and cash planning
Workforce planning	Align headcount to demand and control labour costs

“With PlanIQ, Anaplan customers can operate their business using connected, forward-looking plans built on predictive forecasting and agile scenario modeling, turning the ability to move quickly into a competitive edge.” - Ana Pinczuk, Chief Development Officer, Anaplan

For Brunei finance teams that still live in spreadsheets, GPTExcel is a practical, low‑friction way to add AI to everyday work: the GPTExcel spreadsheet assistant can generate and explain complex Excel/Sheets formulas, create VBA or Apps Script automations, produce SQL queries and regex, build pivots and charts, and even convert a photographed table into an editable sheet - turning a blurry supplier invoice into a row you can analyse in seconds.

With 40M+ formulas generated and 1.2M+ users, its free tier lets small teams experiment safely, while affordable Pro plans scale limits and file sizes for growing firms; that means Brunei firms can pilot automation, speed month‑end closes and reduce formula errors without ripping up existing models.

Pairing GPTExcel pilots with the cloud migration and data governance steps recommended for Brunei (see our cloud migration guidance) helps keep audits and regulators happy while freeing analysts to focus on strategy instead of manual cleanup -

so the “so what?” is clear: fewer spreadsheet fires and more time for forward‑looking finance.

Plan	Monthly price	AI chat messages (period)	Max upload file size
Free	$0	Up to 10 (refreshed every 30 days)	5 MB
Pro Essential	$9.00 (or $6.30/mo billed annually)	Up to 3,000 (per 30 days)	50 MB
Pro Plus	$18.00 (or $12.60/mo billed annually)	Up to 10,000 (per 30 days)	100 MB

QuickBooks has moved well beyond basic bookkeeping into AI-assisted bookkeeping that matters for SMBs in Brunei: Intuit Assist and the new AI agents automate expense categorisation, speed reconciliations, forecast cash flow and send smart invoice reminders so small teams spend less time on entries and more on cash‑management - customers report getting paid about five days faster on average and early adopters see measurable time savings (Peak Advisers details the Accounting, Payments and Finance agents and rollout considerations).

These features are practical for Brunei firms when paired with a short cloud‑migration and data‑governance plan to keep audits and regulators satisfied; start by reviewing QuickBooks' AI guide and the Peak Advisers agent overview, then pilot automated categorisation and the Payments Agent to reduce late payments and free up 5–12 hours a month for higher‑value work.

Plan	AI highlights	Pricing (monthly)
Simple Start	Intuit Assist, smart expense organisation	$38 → $19/mo (promo)
Essentials	AI reconciliation, Accounting & Payments Agent availability	$75 → $37.50/mo (promo)
Plus	Automations, AI profit & loss insights, Customer Agent	$115 → $57.50/mo (promo)
Advanced	Finance Agent, custom reporting, Excel sync	$275 → $137.50/mo (promo)

“Under the surface, it's going to be the same QuickBooks, it's just going to have more AI embedded into it, and look more streamlined, which I absolutely love.” - Chloe Britnell, PJ & Co

For Brunei finance teams evaluating smarter, fairer lending, Zest AI offers a concrete path from manual credit rules to explainable, ML-powered underwriting that can increase approvals without lifting portfolio risk; the vendor's materials and case studies describe explainability tools (game‑theoretic Shapley methods) that translate model logic into auditable reason codes and a robust model management approach for validation, monitoring and documentation - exactly the controls regulators and auditors expect.

That mix of fairness and governance matters in practice: Zest's guidance shows how ML models can be “double‑optimized” for accuracy and fairness (the bass‑and‑treble analogy is a useful one), while automated monitoring and explainability reduce the chance of hidden bias and produce defensible adverse‑action reasons.

For teams planning cloud migration and tighter data governance, review Zest AI's model‑risk guidance to understand required monitoring and documentation, and see the platform overview to evaluate integration and fairness tooling before piloting an AI underwriter in Brunei.

“Zest AI's underwriting technology is a game changer for financial institutions. The ability to serve more members, make consistent decisions, and manage risk has been incredibly beneficial to our credit union.” - Jaynel Christensen, Chief Growth Officer

Sift brings enterprise-grade, AI-powered fraud decisioning that matters for Brunei finance teams moving into digital payments: its Identity Trust XD and global data network let firms block payment fraud, ATOs and policy‑abuse while keeping friction for legitimate customers low - customers report dramatic wins (Harry's cut chargebacks by ~85%) and Sift's platform processes over 1T+ annual events to sharpen real‑time decisions.

For smaller teams in Brunei the appeal is practical: pre‑built workflow templates and automation shorten deployment time, Clearbox decisioning surfaces why a transaction was blocked, and new Fall '25 investigation tools (ATO dashboards, global identity search) speed case triage so fewer manual reviews are needed.

That combination helps banks, payment providers and e‑commerce merchants protect revenue, reduce disputes and “reserve friction for fraudsters” while trusted users sail through checkout - see Sift enterprise fraud prevention platform overview for product details and AI fraud detection guide outlining how to use AI in fraud detection to structure a layered, auditable defence before scaling into new markets.

Key metric	Value
Annual events in global network	1T+ events
Authentic digital footprints	1.6B identities
Median losses prevented per customer (annual)	$4.2M

“The Fall ‘25 release lets fraud teams deploy protection workflows in minutes, detect policy abuse before it impacts revenue, and investigate suspicious accounts with smarter, more intuitive tools designed for increasingly complex risk. We're giving Sift customers more power to make better fraud decisions faster, cut spend, and protect revenue while also enhancing the consumer experience.” - Raviv Levi, Chief Product and Technology Officer, Sift

Darktrace's self‑learning cyber AI brings anomaly‑first protection that matters for finance teams in Brunei Darussalam grappling with business‑email compromise, cloud‑SaaS risks and tight compliance windows: its Darktrace / EMAIL layer learns each user's “pattern of life” to spot subtle social‑engineering and account‑takeover signals so organisations can “stop attacks before patient zero” and block novel threats up to 13 days earlier, while the platform's cross‑stack correlation ties suspicious email, SaaS and network activity into a single incident for faster remediation - see the Darktrace / EMAIL overview and the multi‑cloud detection write‑up for details on Azure and Microsoft 365 integration.

For small security teams that must protect treasury systems and board reporting, Darktrace's Cyber AI Analyst and behavioral DLP reduce phishing investigations by ~60% and surface explainable, auditable alerts that help satisfy tighter governance and cloud‑migration requirements for Brunei firms.

Capability	Value
Self‑Learning AI	Detects novel anomalies by learning unique communication patterns
Customers	10,000+ deployments
Email threat advantage	Block novel threats up to 13 days earlier
Investigation uplift	Phishing investigations reduced ≈60%

“Robust and intelligent protection that significantly enhances our email security posture.”

Prezent packages enterprise-grade storytelling into two practical AI helpers that matter for Brunei finance teams preparing board packs, investor updates or regulator-ready briefs: Story Builder instantly scaffolds a clear narrative from 1,000+ proven frameworks so slides stop “jumping from topic to topic,” while the Auto Generator turns prompts, files or data into branded decks in seconds - perfect for small teams that must move fast without sacrificing polish (see Story Builder and Auto Generator for details).

A 35K+ slide library and template converter keep every deck on brand, enterprise security and compliance (GDPR, ISO/IEC 27001:2023, SOC 2) protect sensitive financial material, and real-world cases report big time savings (395 hours saved annually; $35k+ in agency costs avoided, and productivity gains of up to ~85% in some deployments).

For CFOs in Brunei balancing tight teams and rising disclosure demands, Prezent's combo of structure, speed and governance turns months of slide work into a repeatable, auditable routine - so investor meetings feel like rehearsed conversations, not last‑minute sprints.

Prezent Story Builder slide scaffolding tool | Prezent Auto Generator deck creation tool

Feature	Why it helps Brunei finance teams
Story Builder (1,000+ storylines)	Builds a coherent narrative quickly for QBRs and investor decks
Auto Generator (seconds)	Generates branded, editable decks from prompts or files in seconds
Enterprise security & compliance	GDPR, ISO/IEC 27001:2023, SOC 2 - protects sensitive financial data

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

Alteryx turns messy, multi‑system finance data into repeatable, auditable workflows that small treasury and FP&A teams in Brunei can actually run overnight - imagine sales, bank and ERP feeds blended, cleaned and pushed into dashboards by morning without a single hand copy; that practical automation is why Alteryx's drag‑and‑drop Designer, broad data‑blending connectors and scheduleable workflows matter for BN firms.

The platform pairs low‑code ETL and in‑database processing (so large volumes don't clog local machines) with built‑in predictive and spatial tools for forecasting, scenario analysis and location‑sensitive tasks like branch or supplier footprinting; see the Alteryx introductory guide for a clear overview and a deeper dive into automated analytics.

For finance teams planning cloud migration and stronger data governance in Brunei, Alteryx's cloud execution and automation features let organisations scale analytics without rebuilding spreadsheet models - review Alteryx functionality and features and align pilots with Nucamp's cloud migration and data governance steps to keep audits satisfied while unlocking faster, analytics‑driven decisions.

Capability	Benefit for Brunei finance teams
Data blending & preparation	Combine ERP, bank and spreadsheet data quickly for cleaner month‑end reporting
Automated workflows & scheduling	Run reconciliations and reports overnight to shorten close cycles
Predictive & spatial analytics	Forecast demand, manage inventory and analyse branch/supplier geography
In‑database & cloud execution	Process large datasets efficiently and scale with governance during cloud migration

Finance teams in Brunei should pilot AI with clear, measurable goals: start with high‑impact, low‑risk use cases (fraud detection, automated reconciliations and explainable forecasting) that prove value fast, then scale only after governance, auditing and data flows are locked down - this approach matters because Brunei has high internet penetration (95%) but only 65.7% of residents hold bank accounts, so pilots must improve both operational efficiency and financial inclusion, not widen the digital divide (see the ADB Institute working paper on digital financial inclusion in Brunei Darussalam ADB Institute paper: The Future of Digital Financial Inclusion in Brunei Darussalam (SSRN)).

Local reporting and vendor case studies also show adoption is still nascent, so pair any vendor trial with clear KPIs, a short cloud‑migration and governance checklist and skills training - use the practical overview of AI in Brunei finance from BytePlus to spot priority areas (BytePlus overview: Applications of AI in Brunei finance) and close skills gaps quickly by enrolling teams in Nucamp's hands‑on AI Essentials for Work bootcamp enrollment page (15‑week program), so pilots deliver auditable wins for regulators, customers and the board rather than one‑off experiments.