About SMPL.ai
Bring world-class financial intelligence to every growing SaaS company.
Financial intelligence means knowing how the business is performing, what is driving the results, and what today's decisions mean for growth, hiring, and cash—without having to build an entire CFO organization.
SMPL.ai is the AI operating system for SaaS Finance teams. It helps CFOs and Finance leaders with reporting, forecasting, and planning so they can understand performance and guide the business with more clarity and less assembly work.
Founder
Matt Justice, Founder & CEO
Portland, Oregon · Corporate FP&A, GTM Finance, and revenue and billing operations
Throughout my career in Finance, I've seen how much work sits between a business question and an answer leadership can use. Reporting, forecasts, and operating plans depend on information spread across systems. Bringing it together, reconciling it, and keeping the models current can consume much of the team's time.
I've been responsible for that work across corporate FP&A, GTM Finance, and revenue and billing operations. I've prepared the reporting, built the forecasts, and developed automation to make those processes faster. Those experiences shaped my view of what Finance teams need from their software: reliable numbers, connected plans, and more time to understand what the results mean.
That is why I built SMPL.ai.
Growing SaaS companies face complex financial decisions long before they have the resources for a large Finance organization. A hiring decision affects cash. A change in retention affects revenue and the operating plan. Leadership needs to understand those connections while there is still time to act.
I wanted to make that level of financial understanding more accessible, with software that takes on more of the preparation and gives Finance more capacity to guide the business.
How that experience shapes SMPL
SMPL works alongside the ERP, CRM, billing, and HR systems Finance already trusts. It is the financial intelligence layer on top of those systems of record, not a replacement for them.
Connected financial and operating information
Revenue, hiring, and cash decisions need to be understood together. When those views live in separate models, Finance spends the week reconciling them instead of explaining what changed. SMPL is built so the operating story and the financial story stay connected.
Numbers Finance can explain and defend
Deterministic calculations produce the numbers. AI helps analyze and explain validated financial results. That boundary matters when a board package, forecast, or variance narrative has to stand up to scrutiny.
More capacity to guide the business
The goal is not more dashboards. It is less time assembling reporting and maintaining disconnected models, and more time helping leadership understand performance and decide what to do next.
Let's talk about your Finance challenges
If your team is spending too much of the close and planning cycle assembling information before you can guide the business, I would welcome a conversation about what that looks like for you.
Our site is www.smpl-ai.com. The domain smpl.ai belongs to a different organization.