5 Questions to Ask Any Forecasting Tool Before You Sign
A practical evaluation checklist for finance leaders choosing an AI-native FP&A or forecasting tool — plus stage-based recommendations from startup to scale. Adapted from Alyona Mysko's LinkedIn post.
1. The 5-Question Evaluation Checklist
- Does It Connect Directly to Your Accounting System?
**Question 1: Does it connect directly to my accounting system? Or does it just import CSVs?** This is your first filter. If the tool only accepts CSV uploads, you're signing up for manual refresh forever. Every time you want an updated forecast, someone on your team has to: 1.…
- Does It Support Rolling Forecasts by Default?
**Question 2: Does it support rolling forecasts by default? Or are you locked into quarterly snapshots?** Static quarterly forecasts are a relic of the pre-AI era. By the time you finish building the Q3 forecast, half the assumptions are already stale. Rolling forecasts continu…
- Can You Build Scenarios Without a Consultant?
**Question 3: Can I build my own scenarios without a consultant?** If you need to file a support ticket to model a 30% marketing cut, **run.** Scenario modeling should be self-service. You should be able to: - Create a new scenario in minutes, not days - Adjust any assumption …
- Does It Have Real AI?
**Question 4: Does it have real AI? Can it draft commentary, flag anomalies, build new views?** Many tools slap a chat box on top of dashboards and call it "AI-powered." That's not AI — that's a search bar. Real AI in a forecasting tool should: - **Draft variance commentary** …
- How Fast Is Setup?
**Question 5: How fast is setup? If the answer is 3 months — it's not AI-native. Full stop.** This is the tell. Legacy FP&A tools repackaged with AI features still carry legacy implementation timelines. A truly AI-native tool should be: - **Connected to your data** in days, not…