The real question isn't "should I use Excel?" It's "which Excel FP&A tool actually fits my team's size, workflow, and budget?" This article breaks down the three main categories, with honest assessments of each.
According to Gartner's 2025 Magic Quadrant for Financial Planning Software, roughly 75% of mid-market finance teams still run their primary planning models in Excel, even when they've deployed a dedicated planning platform alongside it. The platform sits upstream; Excel is where the actual modeling happens. That number hasn't moved much in five years, which tells you something about where the real work lives.
Category 1: Excel-Native FP&A Tools and Enhancements
This category costs nothing extra and gets underused by almost everyone.
Power Query is the single biggest upgrade most FP&A teams haven't fully adopted. It replaces the copy-paste-from-ERP ritual with a repeatable ETL step you configure once. Your monthly P&L pull from NetSuite or SAP takes 3 hours manually. With Power Query, it runs in under 5 minutes after the initial setup. The M language underneath is readable enough to maintain without a developer.
Power Pivot and the Data Model let you build relationships between tables that would otherwise require 40-column VLOOKUP chains. If you're running a three-statement model where your P&L, headcount tab, and revenue waterfall all feed the same balance sheet, the Data Model handles the joins without duplicating rows across tabs.
Dynamic array functions (XLOOKUP, FILTER, UNIQUE, SEQUENCE) landed in Excel 365 around 2020 and still get misused. The relevant FP&A application: FILTER replaces most SUMIFS arrays when you need a range output rather than a single cell. A formula like =FILTER('Headcount'!A:F, ('Headcount'!D:D=Assumptions!$B$2)*('Headcount'!E:E>0)) pulls every active hire in a given department with one expression, no helper columns.
The catch: these are single-user tools. They help one analyst build faster. They don't solve version control, multi-user editing, or the audit trail your CFO wants before the board pack goes out.
Category 2: Planning Platforms That Connect to Excel
This is where the $20,000-$200,000+ annual spend lives.
Vena Solutions is the most Excel-native of the lot. It maps your existing templates directly into its platform using a structured template model, meaning your finance team doesn't have to learn a new UI. Vena's documentation describes this as "keeping Excel as the interface while adding workflow, versioning, and consolidation behind it." For teams with 10+ contributors on the same model, that's the key advantage.
Anaplan is the opposite end of the spectrum. It has its own modeling language (Anaplan Formula Language, AFL), its own data structures, and a steep learning curve. Enterprise licenses run $200,000+ per year. Implementation typically takes 8-12 weeks minimum, often longer when process changes are involved. You get serious multi-dimensional modeling capabilities. You lose the spreadsheet intuition your team already has.
Planful and Workiva sit in the middle. Both support Excel integrations with varying levels of tightness. Workiva is particularly strong for SEC reporting workflows where audit trails aren't optional.
The common failure mode with all of these: finance teams buy the platform, configure a few templates, and then keep doing real work in standalone Excel because the platform is slower to iterate in. If your CFO wants to stress-test a scenario at 6 PM on Thursday, nobody wants to log into a web app and wait for a refresh cycle.
Category 3: AI Add-Ins for Excel
This category is new enough (most serious options shipped in 2024-2025) that the market hasn't settled.
The useful distinction is between AI that generates formulas on request versus AI that actually operates the spreadsheet as an agent, reading data and writing results.
Formula-generation AI (Copilot in Microsoft 365, standalone GPT wrappers) is genuinely useful for the 20% of tasks where you know what you want but can't remember the syntax. Less useful for the 80% where you're iterating on a model structure and need something that understands what's already in the workbook.
Agentic AI tools - where the assistant reads your ranges, understands your tab structure, and can write back into specific cells with your approval - are the more interesting development. The practical FP&A application isn't replacing modeling; it's accelerating the mechanical parts. Pulling actuals into the right row of a 12-month bridge. Running a sensitivity sweep and writing results to a Returns Analysis tab. Checking whether your FCFF roll-forward ties to the balance sheet delta.
ModelMonkey takes this approach: an AI agent embedded in the spreadsheet sidebar that reads ranges, runs analysis, and writes back with an approval step before touching anything. The relevant scenario for FP&A is the 90-minute build-and-check cycle that ends every month close - the kind of work that doesn't need a human to do it, just a human to verify it.
Comparison: Which Excel FP&A Tool Fits Which Scenario
| Tool | Annual Cost | Best Fit | Weakness |
|---|---|---|---|
| Power Query + Power Pivot | $0 (included in M365) | Solo analyst, recurring data pulls | No collaboration, no versioning |
| Vena Solutions | $20k-$80k/yr | Mid-market, 5-20 finance users, Excel-centric teams | Implementation timeline |
| Anaplan | $200k+ | Enterprise, complex driver-based models | Steep learning curve, high TCO |
| Planful | $30k-$100k/yr | FP&A + close management combined | Less Excel-native than Vena |
| Workiva | $50k-$150k/yr | Public company reporting, SEC filings | Expensive for pure FP&A use |
| Microsoft Copilot | Bundled with M365 Business Premium | Formula help, basic summarization | No agentic sheet operations |
| ModelMonkey | Free trial, paid tiers | Analysts who want AI to operate the model, not just suggest | Early-stage product |
The pattern: smaller teams with $0-$30k to spend get the most from native Excel upgrades plus an AI add-in. Teams with 10+ FP&A contributors and a consolidation problem probably need a planning platform, and Vena is the least disruptive option if your team is deeply Excel-native. Anaplan makes sense when your model complexity genuinely exceeds what Excel can hold - think 50+ entities, multi-currency consolidations, or rolling forecasts across 5 business lines.
The scenario where AI add-ins shine and planning platforms don't: you have one analyst maintaining a complex 8-tab model (P&L, Balance Sheet, Cash Flow, FCFF, Returns, Assumptions, Actuals, Sensitivity) and you need to cut the monthly close prep from 3 hours to 20 minutes. No platform is going to solve that. An agent that understands your tab structure and can execute the mechanical updates will.
Where to Start
If you haven't touched Power Query, start there. It's free, the learning curve is two days, and the time savings on recurring data pulls compounds every month.
If your team has a collaboration or consolidation problem, evaluate Vena before Anaplan. The Excel-native model means shorter implementation and less retraining.
If you're looking at AI tooling, the test is simple: can it read your actual model structure and write back into a specific cell in the right tab? If the answer is no, it's a formula generator, not an FP&A tool.
Try ModelMonkey free for 14 days - it works in both Google Sheets and Excel.
Pricing ranges reflect publicly available information as of June 2026. Enterprise contracts vary significantly; treat these as directional, not binding.