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How Ramp Uses Actively AI to Fuel Efficient Hypergrowth

Customer Story

How Ramp Uses Actively AI to Fuel Efficient Hypergrowth

Customer Story

How Ramp Uses Actively AI to Fuel Efficient Hypergrowth

About Ramp

Ramp has become one of the fastest-growing SaaS companies in history, servicing 30,000+ customers in just five years. Operating within a vast addressable market, expanding product portfolio, and intense competition, Ramp's sales success depends heavily on timing, targeting, and relevance.

THE CHALLENGE

Huge TAM, Rapid Growth, and Shifting from Activity to Conversion

Ramp's sales org nearly doubled in a single year, growing from 50 to 90 SDRs and 50 to 100+ AEs to address their expansive market. Leadership quickly recognized that more headcount and volume alone wouldn’t sustain hypergrowth.

While their top sellers were already doing deep research—developing targeted engagement strategies based on when and why to reach out—this process was time-consuming and hampered by scattered data across multiple go-to-market (GTM) systems.

Ramp needed a systematic approach so that every rep, not just top performers, could prioritize and pursue high-quality opportunities with the right research at the right moment.

“Before Actively AI, our sales reps faced a constant dilemma: They either had to invest excessive time in manual research or resort to higher volume outreach that yielded inconsistent results. We measure success by SQLs and pipeline that converts to revenue, so we were bullish on a more targeted approach.”

Austin Mead

Director of New Business Development, Ramp

THE SOLUTION

Actively’s Custom Reasoning Models Maximize Ramp’s Revenue Potential

Ramp chose Actively AI for its custom AI reasoning models specifically trained to optimize revenue across their GTM motion while handling enterprise-level complexities—from multiple product lines and personas to detailed routing rules

Actively AI continuously learns from millions of data points (Salesforce fields, Gong transcripts, and third-party vendor intelligence), and applies deep reasoning to determine who to engage, when to reach out, and why now—all surfaced directly in the tools where Ramp’s reps already work.

“At Ramp, velocity is crucial to everything we do, from shipping products to getting those products in front of new customers. We look for partners who can match our speed and scale with us. Actively AI has done this for our sales org, improving the team’s productivity and impact by an order of magnitude as we grow.”

Karim Atiyeh

Co-Founder & CTO, Ramp

Key Outcomes and Use Cases

01 — Intelligent Outbound - Why You, Why You Now

Using Actively AI, sales reps start each day with a curated list of high-propensity accounts and contacts, complete with specific engagement reasons—such as an approaching contract renewal, a new Ramp integration that solves known customer problems, or accounts matching the profile of recently converted customers. 

These insights appear directly within reps’ existing tools, including suggested messaging and conversation points.

02 — Multi-Product, Multi-Persona Precision

Ramp frequently launches new products relevant to  a variety of buyer personas. Actively’s AI reasoning models adapt to each solution’s ICP—pinpointing which accounts, pain points, and specific personas best fit each product line and how to strategically multi-thread. Reps can focus on execution instead of sifting through data.

For example, when Ramp introduced its Procurement product, Actively AI analyzed calls, emails, and past interactions to locate accounts that had previously discussed centralized purchasing. By handling this complexity on behalf of the reps, Actively AI delivered “why you, why you now” hypotheses for these targets—saving reps hours of manual research and driving faster, more targeted outreach.

04 — Dynamic Account Territories

Actively AI’s scoring and intelligence informs territory assignments optimized for upcoming conversions. Instead of static annual assignments, Actively AI continuously evaluates ICP fit, timing, and intent to refine focus areas.

05 — Making New Hires Productive Faster

Ramp onboards new hires monthly, making time-to-productivity critical. Actively AI is part of foundational training, providing relevant accounts, research, and recommended approaches immediately.

"Actively AI is a core part of our new hire training for reps. It cuts time-to-productivity by multiple weeks through focusing them on ICP-fit leads, with clear reasoning behind recommendations. This gets them generating revenue faster rather than spending weeks building lists and doing manual research."

Kaitlyn Giori

Senior Manager, New Business, Ramp

THE IMPACT

Tens of Millions in Additional Revenue and 23% Higher Win Rates vs. Pure Volume

Employee experience refers to every moment of connection and interaction that an employee has with a company. It starts with encountering a job description and ends with their final departure from the company. The employee experience can be positive or negative, but it can also vary based on personal preference. Some elements that can vary one’s employee experience include:

Looking Ahead

Extending Actively AI Across Revenue

The team plans to extend Actively beyond SDR and AE motions to broader GTM initiatives—optimizing upselling, cross-selling, and joint sales and marketing efforts—further unifying data and accelerating decision-making throughout the revenue organization.