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

By Ludo Fourrage

Last Updated: August 15th 2025

Finance professional using AI tools like Excelmatic and Cube on a laptop with Chicago skyline in the background

Too Long; Didn't Read:

Chicago finance teams in 2025 should master AI tools like Excelmatic, Datarails, Cube, Vic.ai, Workday Illuminate, ModelOp, Coupa, Numeral, UncommonX, and Grid to cut close cycles, automate reconciliations, and save 10–90% time - govern models in ~90 days and target 10–15% cost savings.

In 2025 Chicago finance teams are no longer debating whether AI matters - they're using it to discover research, automate reconciliations, and deliver real-time market and risk signals that reshape trading, FP&A, and advisory workflows (Impact of artificial intelligence on financial services in Chicago in 2025); at the same time CFOs are redesigning talent and making AI literacy table stakes so analysts move from transaction processing to strategic decision-making (How AI is rewriting the rules of finance talent in 2025).

The practical takeaway: upskilling matters - local teams that learn to write prompts, verify model outputs, and govern data will capture efficiency and reduce risk, and programs like Nucamp's 15-week AI Essentials for Work bootcamp registration (early-bird $3,582) give nontechnical finance professionals a direct path to those skills.

BootcampLengthEarly-bird CostRegistration
AI Essentials for Work15 Weeks$3,582Register for the AI Essentials for Work bootcamp

“At Wolters Kluwer, we are committed to continuous innovation for the office of the CFO. Last year, we launched the market's first AI-powered corporate performance management platform – the CCH Tagetik Intelligent Platform with Ask AI. We have evolved Ask AI to an embedded super agent; it now mobilizes cutting-edge agentic technology across multiple use cases, including responding to voice commands in multiple languages, drilling into data without the need for IT skills, and testing assumptions and running analysis. Agentic AI represents an evolutionary leap in how finance leaders operate.”

Table of Contents

  • Methodology: How we chose these Top 10 AI tools
  • Excelmatic: Natural-language insights and cleanup directly in Excel
  • Datarails: Turn recurring spreadsheets into live FP&A dashboards
  • Grid: Add interactive UIs to models while protecting formulas
  • Numeral: Automate reconciliation and month-end close processes
  • Vic.ai: Machine-learning AP automation for invoices
  • Cube: Centralize financial data between Excel and source systems
  • Workday Illuminate™: AI insights and continuous planning inside Workday
  • ModelOp: Chicago-based AI governance for enterprise models
  • UncommonX: Exposure management and agentless security for finance systems
  • Coupa: AI-driven spend management and community intelligence
  • Conclusion: How to start a practical AI roadmap for Chicago finance teams in 2025
  • Frequently Asked Questions

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Methodology: How we chose these Top 10 AI tools

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Selection prioritized practical finance outcomes for Illinois teams: tools had to demonstrate FP&A fit (forecasting, variance narratives), enterprise-grade security and audit trails, and seamless integrations with ERPs and Excel-heavy workflows so Chicago controllers can trust outputs and shorten close cycles - examples and selection criteria are drawn from vendor playbooks and buyer guides like Cube AI for FP&A guide and market comparisons such as Drivetrain Top AI FP&A Tools guide; emphasis was also placed on natural‑language and agent capabilities (for prompt-driven execution) highlighted in Concourse and Vena guidance, and on local upskilling avenues so teams in Chicago can operationalize pilots quickly - see local training options like Nucamp AI Essentials for Work bootcamp.

The “so what”: chosen tools must cut manual reporting time and create auditable, explainable insights finance leaders can defend to auditors and boards.

CriterionWhy it mattered
Integrations & real‑time dataEnsures forecasts use live ERP/HRIS feeds (Cube, Drivetrain)
Explainability & audit trailsMakes AI outputs reviewable for audit and compliance (Vena buyer guidance)
Ease of use & Excel compatibilityReduces change friction for Chicago teams that rely on spreadsheets

“Whenever anyone asks me what I like most about working at iCapital, my response is always the same – it's the people.”

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Excelmatic: Natural-language insights and cleanup directly in Excel

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Excelmatic brings natural‑language AI straight into Excel workflows that Illinois finance teams already trust: upload .xlsx or .csv files, ask “calculate monthly sales” in plain English, and the tool cleans messy rows with a single click, recommends and generates professional charts, and extracts KPIs and anomalies in seconds - saving what the vendor cites as up to 90% of the time from query to report.

Its intelligent formula assistant drafts and corrects complex formulas, batch‑processes multiple tables, and offers on‑premises deployment or bank‑level encryption for data in transit and at rest, so controllers concerned about auditability and security can trial it without exposing raw files.

Start with the free tier and scale to paid plans as needs grow; see the vendor site for feature details and a deep dive on the NLP workflow in their blog. Excelmatic AI-powered Excel data analysis and its Excelmatic natural-language data analysis workflow make spreadsheet analysis conversational and repeatable.

PlanPriceKey limits/features
Free$010 chats/mo, 2 uploaded files/chat, 5MB upload, basic charts
Essential$9.9/mo150 chats/mo, 150 image→Excel, 5 files/chat, 50MB upload
Professional$29.9/moUnlimited chats, unlimited image→Excel, 10 files/chat, 100MB upload, predictions

“Excelmatic has completely transformed how we analyze our data. The automated insights and visualizations save us hours of work every week. The platform is intuitive and powerful.” - Sarah Chen, Data Analyst

Datarails: Turn recurring spreadsheets into live FP&A dashboards

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Datarails helps Illinois finance teams turn month-after-month spreadsheets into a single, Excel‑native FP&A environment that consolidates ERP, CRM and filebox inputs, preserves existing Excel models, and layers in AI for fast, defensible insights; its FP&A Genius answers live financial questions (vendor claims: last‑minute finance requests can be executed in ~60 seconds) and its Storyboards export updatable visuals to PowerPoint so Chicago controllers can respond to board or audit requests without rebuilding reports.

The platform's real‑time dashboards support drill‑downs to transaction-level detail, versioned tables for audit trails, and scenario modeling - so the “so what” is concrete: fewer manual reconciliations and more time for strategic analysis during the close.

Read the Datarails product overview and dashboard examples to see how it fits Excel‑centric FP&A workflows.

CapabilityWhy it matters
Excel‑native consolidationKeep existing models while centralizing data
FP&A Genius (AI chat)Fast, conversational answers to finance queries (~60s)
Live dashboards & StoryboardsReal‑time drilldowns, exportable PowerPoint for execs/audits

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

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Grid: Add interactive UIs to models while protecting formulas

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For Chicago finance teams that need interactive scenario inputs without exposing hard‑coded logic, combine Excel-style drop‑down scenario controls with a JavaScript spreadsheet layer that enforces read‑only cells and formula auditing: build the scenario table and data‑validation dropdowns per the step‑by‑step approach in “How to Build Drop‑Down Scenarios in Your Financial Model” and surface those inputs in a secure, embeddable UI using a library like SpreadJS, which supports form controls (combo boxes), cell states (read‑only/changed), formula auditing and document control for compliance - the vendor even demos sub‑second population of millions of cells for high‑volume models (How to build drop‑down scenarios in Excel financial models; SpreadJS JavaScript spreadsheet component for interactive spreadsheets).

The practical payoff for Illinois controllers: users get a friendly, mistake‑proof input surface (dynamic dropdowns, combo boxes, color‑coded inputs) while formulas stay protected and auditable, so boards and auditors see repeatable scenario runs instead of ad‑hoc, error‑prone spreadsheets.

"Spread is the most reliable spreadsheet that retrieves and stores data, whether interacting with a database or simply an Excel file. Try it out, and you will not go back to any other control" - Trusted Customer

Numeral: Automate reconciliation and month-end close processes

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Numeral is the month‑end close engine that automates painful close steps - reconciliation, journal‑entry validation, and expense‑rule application - while integrating with accounting systems to flag mismatches and handle multi‑entity/intercompany transactions without forcing teams to leave Excel; for Illinois controllers under audit pressure this translates to fewer manual GL digs and clearer, auditable exceptions to review during close.

Its multi‑entity focus fits Chicago firms that consolidate multiple subsidiaries or shared‑service centers, and it's positioned as a practical complement to Excel‑centric workflows rather than a replacement.

Read vendor coverage of Numeral's reconciliation and close automation in the Excelmatic tools guide and learn why AI is already reshaping routine finance work across Chicago to prioritize automation and upskilling.

CapabilityNotes
ReconciliationAutomates month‑end reconciliation steps
Journal‑entry validationValidates entries and flags mismatches
Expense rulesApplies coding and policy rules automatically
IntegrationsConnects to accounting systems; flags exceptions
Multi‑entity supportDesigned for intercompany and consolidated workflows
Excel workflowWorks within Excel so teams don't have to leave spreadsheets
Pricing & fitCustom pricing; best for controllers and accounting operations under audit pressure

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Vic.ai: Machine-learning AP automation for invoices

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Vic.ai applies machine learning to invoice processing so Illinois AP teams can move routine work out of inboxes and into a governed workflow: AI extracts vendor, dates, amounts and line items, suggests GL codes and approval routing, and exports approved invoices back to ERPs like NetSuite or QuickBooks to keep the ledger in sync (Vic.ai automated invoice processing for accounts payable).

The system proactively flags discrepancies - duplicate invoices show a red indicator and PO mismatches are prioritized - so Chicago controllers can prevent double payments and focus human review on true exceptions.

Built-in controls include encryption in transit and at rest, role-based access and audit trails, and typical deployments see meaningful automation within weeks rather than months (Vic.ai FAQ on integrations, security, and time-to-value), making it a practical step for Illinois finance teams that need faster close cycles without sacrificing compliance.

Cube: Centralize financial data between Excel and source systems

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Cube centralizes data from ERPs, CRMs, HRIS, data warehouses and spreadsheets so Chicago finance teams can keep familiar Excel models while eliminating manual consolidation and stale exports; its AI Analyst auto-maps raw feeds into clean, dimensional models and one‑click syncs keep forecasts and reports current across Excel, Google Sheets and Cube Workspace (Cube platform overview and integrations).

For Illinois controllers managing multi‑entity reporting or bank‑level audits, Cube's role‑based permissions, audit logs and SOC‑2 posture preserve compliance while enabling driver‑based forecasting and unlimited scenario comparisons that update in real time - meaning same‑day what‑if runs for board packs without rebuilding spreadsheets (Cube forecasting and driver-based planning).

The practical payoff for Chicago teams: fewer reconciliation cycles, faster month‑end closes, and more time spent on analysis and advising the business instead of cleaning numbers.

CapabilityHow it helps Chicago finance teams
Direct integrationsOne source of truth from ERP/CRM/HRIS to Excel
AI AnalystAutomates mapping and cleans data for reliable models
Excel / Sheets syncLive updates without leaving familiar spreadsheets
Security & governanceRBAC, audit logs, SOC 2 for audit-ready workflows

“Now with Cube, we spend more than half our time on strategic work - partnering with the business instead of cleaning up the numbers.” - James Mann, CFO

Workday Illuminate™: AI insights and continuous planning inside Workday

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Workday Illuminate™ brings agentic, finance‑first AI directly into Workday Financial Management and Adaptive Planning so Chicago finance teams can run continuous planning, surface anomalies, and get conversational, audit‑ready recommendations without stitching together separate tools; see the Workday Illuminate AI overview for how Illuminate embeds insights across payroll, contracts and planning (Workday Illuminate AI overview - Workday artificial intelligence features) and the Adaptive Planning AI for FP&A features page for FP&A capabilities like predictive forecasting, anomaly detection and natural‑language assistant support (Adaptive Planning AI for FP&A features - predictive forecasting & anomaly detection).

The practical payoff for Illinois teams is concrete: faster close cycles and same‑day what‑if runs (Workday cites examples such as reducing forecast cycles from weeks to nine days and accelerating contract execution), agentic workflows that automate document‑driven accounting and supplier contract review, and a central Agent System of Record to manage governance and compliance so controllers can defend AI‑driven decisions to auditors and boards.

Illuminate AgentAvailability
Contract Intelligence AgentGenerally available
Contract Negotiation AgentGenerally available
Self‑Service AgentGA by end of 2025
Contingent Sourcing AgentEarly adopters end of 2025; GA early 2026
Document Driven Accounting AgentEarly adopters end of 2025; GA early 2026
Frontline AgentEarly adopters end of 2025; GA early 2026
Supplier Contracts AgentEarly adopters end of 2025; GA early 2026

“Data is a powerful catalyst for growth when it can be transformed into actionable intelligence. Our agents leverage the world's most powerful HR and finance dataset to turn insights into impact – boosting productivity, enhancing compliance, and accelerating decision‑making at every level.” - Shane Luke, Vice President, Workday Illuminate

ModelOp: Chicago-based AI governance for enterprise models

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ModelOp, headquartered in downtown Chicago, offers ModelOp Center - an enterprise AI governance control tower that gives Illinois finance and compliance teams a single source of truth for every model (including GenAI and LLMs), enforces policy across the model lifecycle, and integrates with existing toolchains so banks, insurers and large corporate finance groups can scale without creating ungoverned AI sprawl; see the vendor site for product details at ModelOp Center enterprise AI governance and a deeper company profile at ModelOp company profile on CB Insights.

The practical payoff for Illinois teams: get baseline governance running in ~90 days, double the speed of models to production, and cut time to find and resolve model issues by ~80% - concrete gains that help Chicago controllers meet audit and regulatory scrutiny while accelerating AI initiatives.

FactValue
Founded2016
Headquarters227 West Monroe St, Chicago, IL
Flagship productModelOp Center (AI governance)
Go‑live target~90 days to start governance
Reported outcomes2× speed to production; 80% faster issue resolution

“We didn't want to stifle the creativity of our data scientists, both professional and citizen. Our AI Governance software enables us to deliver robust, value-generating models at speed and keep them that way. We aim to monitor hundreds of AI models in production.” - Head of Compliance Analytics Architecture, Fortune 500 company

UncommonX: Exposure management and agentless security for finance systems

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For Illinois finance teams facing regulator scrutiny and complex multi‑entity networks, UncommonX's patented Exposure Management Platform delivers agentless, fact‑based visibility that maps on‑prem, cloud, OT/IoT and SaaS assets without installing agents, then ranks exposures with its Relative Risk Rating (R3) so controllers can prioritize remediation with audit‑ready evidence; see the vendor's Exposure Management overview at UncommonX Exposure Management overview and the technical approach to fast agentless mapping at UncommonX agentless discovery technical approach.

The platform pairs those insights with optional 24/7 Managed SOC and XDR services and proven, patented workflows (twenty‑four U.S. patents) to reduce tool sprawl and give Chicago banks, credit unions, and fintechs an evidence‑based “single pane of glass” for audits; request a tailored demo from their Chicago office to see a live, agentless inventory and risk dashboard in hours (Request an UncommonX demo in Chicago).

Core capabilityWhy it matters for Illinois finance teams
Agentless DiscoveryFast, non‑intrusive inventory of all assets for complete visibility
Relative Risk Rating (R3)Evidence‑based prioritization tied to NIST factors for audit defense
24/7 Managed SOC & XDRContinuous monitoring and remediation to reduce operational risk

“UncommonX is nothing but incredible. Their Exposure Management platform and 24/7 Security Operations Center (SOC) provides continuous monitoring, which gives us peace of mind knowing that any potential threats are being addressed in real time - even after hours or on weekends.” - Chief Information Officer, Financial Services

Coupa: AI-driven spend management and community intelligence

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Coupa's AI-native Total Spend Management platform brings community intelligence and agentic automation to the full source‑to‑pay cycle - powered by more than $8 trillion in transaction analytics from a 10M+ buyer and supplier network - so Chicago finance teams get real, audited signals for sourcing, contract risk, and AP decisions rather than siloed guesses; AI features such as Contract Intelligence extract clause-level metadata, surface risk‑informed clause recommendations, and validate invoices against contracted pricing to prevent leakage, while community benchmarking and predictive spend analysis identify 10–15% typical cost savings and faster processing (vendors cite up to a 70% reduction in cycle time) for organizations that pair the platform with implementation partners like Acquis for rapid deployment.

For Illinois controllers the practical win is clear: spot off‑contract spend and supplier risk before a payment clears, turning procurement from a cost center into a measurable margin lever - see Coupa community AI overview and its Coupa Contract Lifecycle Management features for feature and compliance guidance.

Metric / RecognitionValue
Community transactional dataset$8 trillion
Community size10M+ buyers & suppliers
Industry recognition / outcomesNamed an IDC MarketScape Leader (2025); typical 10–15% cost savings, up to 70% faster processing

“As business leaders navigate uncertainty, success hinges on their ability to deploy innovative technologies to drive smarter decisions and measurable outcomes.” - Salvatore Lombardo, Chief Product and Technology Officer, Coupa

Conclusion: How to start a practical AI roadmap for Chicago finance teams in 2025

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Start with business outcomes, not buzz: map 1–2 high‑impact use cases (invoice automation, reconciliations, or live FP&A queries), run a focused pilot to prove value, then scale with governance and training - this phased approach mirrors practical guides that show foundation work (data, pilots, governance) before expansion (Blueflame AI roadmap guide for financial services firms).

For Chicago teams, a sensible first pilot is invoice processing or AP automation - tools like Vic.ai have case studies showing fast time‑to‑value and measurable exception reduction - while Excel‑first tools (Excelmatic, Cube, Numeral) deliver visible wins without ripping out spreadsheets; capture success with clear KPIs (time‑to‑close, exceptions flagged, hours saved).

Lock governance early - ModelOp's playbook demonstrates getting baseline controls running in ~90 days - and pair that with targeted upskilling so analysts can verify outputs and write defensible prompts; enroll finance staff in a short program such as Nucamp AI Essentials for Work bootcamp (15-week) to accelerate adoption (Vic.ai accounts payable case studies and ROI).

The so‑what: modest pilots anchored to measurable KPIs let Illinois finance teams shorten close cycles and defend AI decisions to auditors while building repeatable, governed AI practices across the organization.

StepActionSource
1. FoundationAssess data & pick 1–2 pilotsBlueflame AI roadmap
2. PilotRun invoice/AP or reconciliation pilot; measure KPIsVic.ai case studies
3. Govern & UpskillDeploy governance (~90 days) and train staffModelOp / Nucamp

“We didn't want to stifle the creativity of our data scientists, both professional and citizen. Our AI Governance software enables us to deliver robust, value-generating models at speed and keep them that way.” - Head of Compliance Analytics Architecture, Fortune 500 company

Frequently Asked Questions

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Which AI tools should Chicago finance teams pilot first in 2025 and why?

Start with invoice/AP automation or reconciliation pilots. Vendors like Vic.ai and Numeral show fast time‑to‑value by automating invoice extraction, GL coding, and month‑end reconciliations, reducing exceptions and manual GL digs. Excel‑first tools (Excelmatic, Cube, Datarails) deliver visible wins without ripping out spreadsheets, enabling faster close cycles and defensible audit trails.

How do the recommended tools handle security, auditability, and ERP/Excel integrations?

Selection prioritized enterprise‑grade security (encryption, RBAC, SOC‑2 posture) and audit trails. Cube, Datarails and Workday support direct ERP/HRIS integrations and live Excel/Sheets syncs; Excelmatic offers bank‑level encryption and on‑prem options; ModelOp provides a governance control tower for model lifecycle auditing. These capabilities preserve Excel workflows while ensuring auditable, explainable outputs for auditors and boards.

What practical KPIs and timelines should finance leaders use to measure pilot success?

Track time‑to‑close, hours saved per month, exceptions flagged/resolved, forecast cycle time, and percent reduction in manual reconciliations. Example vendor outcomes: Datarails reports saving 2–5 working days/month, Workday cites forecast cycle reductions from weeks to nine days, and ModelOp aims to get baseline governance running in ~90 days. Use 30/60/90 day checkpoints to validate value before scaling.

What governance and upskilling steps are needed to scale AI in finance?

Lock governance early: deploy an AI governance control tower (e.g., ModelOp) to enforce policy, audit models, and track lineage - vendors report ~90 days to baseline. Pair governance with targeted upskilling so analysts can write prompts, verify model outputs, and maintain data controls; short practical programs (for example, a 15‑week finance‑friendly AI bootcamp) make AI literacy table stakes and help move analysts toward strategic decision‑making.

How do specific tools map to high‑impact finance use cases?

Invoice automation/AP: Vic.ai (ML extraction, GL suggestions, ERP sync). Month‑end close & reconciliations: Numeral (reconciliations, journal validation, multi‑entity). Excel‑native FP&A and live dashboards: Datarails and Cube (live syncs, AI Analyst, Storyboards). Excel augmentation and NLP in spreadsheets: Excelmatic. Agentic/continuous planning and embedded AI in ERP: Workday Illuminate. Governance and model lifecycle control: ModelOp. Exposure/security for finance systems: UncommonX. Spend management and contract intelligence: Coupa. Choose tools that match the prioritized pilot and preserve existing Excel workflows.

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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