The yardstick for AI in finance, calibrated for CFOs and controllers.

How we test, score, and publish

Yardstick Research is an independent software research and consulting agency for B2B AI tools. We test the tools ourselves, score them on outcomes that matter, and publish the results. Methodology in plain sight, so your CFO, audit committee, and external auditors can check our work. For CFOs, controllers, and VPs of financial-planning-and-analysis, the audit spends more of its questions on data integration and compliance posture than on anything else, because in finance the place your numbers actually live (SAP, Oracle, NetSuite, Workday, Dynamics, Sage Intacct, QuickBooks), your close calendar, and your Sarbanes-Oxley control evidence determine what AI you can actually deploy. Generally-Accepted-Accounting-Principles audit trail, SOC 2 vendor posture, and regulator-grade data hygiene are the preconditions for any production finance AI. Here's how that actually happens:

1. 01

   We evaluate every finance vendor on this list using public information and free-tier hands-on.

   Our researchers evaluate each vendor on the list using a defensible mix of inputs: vendor documentation and pricing pages, free-tier or trial-seat hands-on where the vendor offers one, video walkthroughs, third-party reviews (G2, Capterra, Gartner Peer Insights), published customer case studies, practitioner discussion (CFO Magazine, CFO Dive, Argyle CFO Forum, Institute of Management Accountants, Association for Financial Professionals), and recent funding and news coverage. Where we can sign up and exercise the product directly, we do, and grade the output against a sample workflow: in the finance case, a month-end close-acceleration pass, a financial-planning-and-analysis variance analysis on a sample budget, an accounts-payable invoice-capture run, or an accounts-receivable collections workflow on a synthetic aging report. We do not pay for paid tiers and we do not run a held-out close benchmark through every tool. Both are cost-prohibitive at the scale this guide covers.

   Every claim in a tear-sheet is labelled MEASURED (free-tier hands-on observation, or output graded against a sample workflow), ESTIMATED (cost-per-seat efficiency derived from the vendor's pricing page and feature limits), or CITED (vendor-published or third-party benchmark, with the source linked).

2. 02

   We score on outcomes buyers care about, on a rubric we publish.

   Vendor decks sell features. Finance operators actually buy outcomes: days-to-close cut on the month-end cycle, financial-planning-and-analysis variance-cycle time, accounts-payable touchless-invoice rate, days-sales-outstanding on the order-to-cash side, and audit-finding count at year-end. We score seven dimensions: module breadth x depth, AI feature coverage, industry-vertical and size fit, compliance and audit posture, ease of data integration and accuracy, license and implementation economics, and time-to-value. Finance is an equal-weight cohort, so the headline number is the plain mean of those seven and no dimension can be quietly traded against another. Cohort benchmarks sit at 40 / 30 / 50 / 60 / 45 / 45 / 35 percent of each dimension's maximum, in that order. Compliance and audit posture carries the highest bar, because documented controls and retrievable evidence are the oldest expected practice in finance. AI feature coverage carries the lowest, because production AI in finance is still early and a team with one platform switched on is already ahead. The dimensions and benchmarks are public so your CFO can sign off, and so vendors can't quietly negotiate them. The audit also records how many accountants, payables and receivables staff, and planning analysts you run, which is the headcount basis the paid return-on-investment model sizes against.

3. 03

   We publish. Vendors check facts. Affiliate links are disclosed.

   Every vendor receives their scored tear-sheet seven days before publication and can flag factual errors (wrong pricing tier, misquoted feature, integration listed as native that's actually via a third party). Rankings can't be appealed; only factual corrections are accepted. Where the guide links to a vendor's product, that link may earn us a commission. Disclosed on every page where the link appears. Vendors do not pay for inclusion, placement, or ranking.