- Ramp’s new research calls AI-driven finance teams “rocketships,” reporting major productivity gains through automation.
- Key success traits: adaptability, curiosity and continuous learning among finance professionals.
- Automation frees teams from repetitive tasks, shifting focus to decision-making, controls and strategic work.
- Companies that fail to upskill risk falling behind peers and losing competitive advantage.
AI Rocketships: How automation is redefining finance
Ramp report: productivity boosts — but not automatic
A recent report from Ramp characterizes leading finance teams as “AI rocketships”: organizations that use artificial intelligence and automation to accelerate routine work, reduce manual overhead, and unlock higher-value activities. The research highlights clear productivity improvements, but it warns that gains depend on people and process changes, not just technology adoption.
Automation’s immediate wins
Ramp found that automation reliably removes time-consuming, repetitive tasks — invoice processing, reconciliation, expense review and basic reporting — allowing finance staff to redirect effort toward analysis, risk management and strategy. These immediate wins deliver measurable time savings and faster cycle times, creating early advocates and social proof within organizations.
Human traits that magnify AI’s impact
Crucially, the report emphasizes that teams that thrive alongside AI share three human traits: adaptability, intellectual curiosity, and a commitment to continuous learning. These qualities enable finance professionals to redesign workflows, interpret model outputs critically, and apply automation where it creates the most value. Ramp’s findings confirm what early adopters have long suspected: technology alone doesn’t transform finance — people do.
Where firms risk losing ground
The report also leverages negativity bias to deliver a sharp warning: organizations that treat AI as a plug-and-play upgrade or delay upskilling risk operational stagnation. The fallout can include slower decision-making, higher costs, and missed opportunities versus competitors who move quickly. This creates a clear FOMO signal for finance leaders — act now or cede advantage.
Practical steps finance leaders can take
Ramp recommends several practical actions: map current processes to identify repetitive tasks, pilot automation in high-volume areas, invest in training programs that build data literacy, and create cross-functional teams to monitor automation outcomes. Social proof from early pilots helps scale change, as colleagues see tangible gains in speed and accuracy.
Looking ahead: AI as an amplifier, not a replacement
Ultimately, Ramp positions AI as an amplifier of human capability in finance rather than a wholesale replacement. Teams that combine smart automation with curiosity and ongoing learning will not only survive the transition — they’ll pull ahead. For finance leaders, the choice is framed starkly: embrace change proactively or play catch-up as peers become the new industry standard.
Note: The original Ramp report did not include embedded social media or YouTube videos in the summary provided here.
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