Preparing for the future of finance starts with context and control
Every week, I speak to finance professionals who seem to all face the same pressure: deliver more strategic insight while managing an ever-growing to-do list. , Regardless of size, stage, or industry, they’re struggling to keep up with rising expectations while buried under work that’s essential but doesn’t feel like it adds real value.
The numbers back that up: recent research shows 79% of finance teams are still spending too much time on manual tasks, while 89% are expected to play a strategic advisory role. We all know AI promises to change that.
But here’s what many miss: AI can’t fix broken processes or fragmented systems. In reality, many teams aren’t ready to capitalize on what’s coming.
Before finance teams start building for the autonomous future, they need to improve in two areas:
- Context: Real-time visibility into where and how money is being spent
- Control: Policies, approvals, and tools that guide spending decisions
A practical framework for the AI era
So how can you start gaining this context and control? Here are a few places to zoom in:
- Visibility is the foundation for everything: You can’t automate what you can’t see. Consolidating spend (think cards, AP, procurement) in one place lets you catch issues in real time instead of during the close. It sounds simple, but this often requires rethinking current systems and processes.
- Policy isn’t red tape, it’s key infrastructure: Policies that are vague or buried in a forgotten PDF slow everyone down. But clear, enforceable rules can stop unnecessary expenses and give AI the context to stop or flag problematic spend.
- Approval flows should align to risk: Long email chains, multiple systems, requests that sit untouched for weeks — it’s no wonder employees circumvent the process. Approvals are about matching the level of scrutiny to the level of risk so there are no unnecessary delays.
- Managed AP helps capture lost dollars: Pulling all invoices into one system with built-in approvals and safeguards stops duplicate payments, catches errors early, and lets you actually manage your biggest spend category. This can help you reclaim dollars lost for no good reason.
- Bring procurement in early: By the time a contract hits AP, most of the savings opportunity is gone. Top teams put more dollars through procurement first to maximize opportunities for savings (negotiations) and minimize surprise spend.
Preparing for an agents-led future
The era of agents-led finance, where AI handles the work you shouldn’t be doing and your team focuses on strategy and big decisions, is not far off. But to get there, teams need to strengthen the operational layer that AI depends on.
Ramp's new guide, Autonomous Finance: FinOps for the AI Era provides a practical methodology for building modern financial operations. We realize solving everything at once isn’t practical or realistic, so this guide walks through actionable steps you can implement at any size or maturity. Start with the highest-impact areas, build momentum, and expand from there.
Because better visibility leads to better control. Better control leads to better decisions. And better decisions drive real business impact. Ready to get started?
Get the complete guide: Autonomous Finance: FinOps for the AI Era →
“I assumed I would have to choose between speed and control. What I found is that you can have both. A well-designed system takes friction out, for the finance function and for everyone else.”
Justin Webster
CFO, Denver Broncos
“A well-run district should not have to choose between getting work done at the school site and keeping control of the dollars behind it. We're not hiring more people to do more jobs, so we have to be smarter about the process. With Ramp, the purchase, the receipt, and the record stay together from the start. ”
Nick Brizeno
Director of Purchasing, San Marcos Unified School District
“AI is moving faster than the finance context around it. Prices change, models change, and the value is not always obvious from an invoice. We needed enough detail to know which bets deserved more investment — and which ones did not.”
Greg Cooley
Controller, AngelList
“Invoices, cards, tokens. The categories change but the principle doesn't: know where the money is going, remove the work around it, and make sure the spend is worth it.”
Maciej Mylik. Finance
ElevenLabs
“There's just no surprises anymore. No more waiting two months to find out how a job did. We know how it's doing as it's happening.”
Erich Kuss
Financial Systems Manager, Infinity Home Services
“More token spend isn’t proof that AI is working. Less isn’t proof that it isn’t. What matters is whether we’re buying the right level of intelligence for the work. Ramp lets us make that judgment in the same place we manage every other type of spend.”
Cody Nutt
Senior Director of Business Systems, Daxko
“Most banks treat the back office as a cost to keep down. We treat ours as a return to compound, which is why we run it on Ramp. Now we put our clients on Ramp, too.”
Patrick Gaughen
President & COO, Hingham Institution for Savings
“Browserbase builds infrastructure so AI agents can do real work. Ramp is doing the same for finance. It’s not another tool. It’s a system purpose-built for AI-driven finance, and that’s why we chose Ramp as our financial operating system from day one.”
Paul Klein IV
Founder & CEO, Browserbase
