Student pricing is available for eligible university email holders. View plans

NextSprints
NextSprints Icon NextSprints Logo
Product Design

Master the art of designing products

Product Improvement

Identify scope for excellence

Product Success Metrics

Learn how to define success of product

Product Root Cause Analysis

Ace root cause problem solving

Product Trade-Off

Navigate trade-offs decisions like a pro

All Questions

Explore all questions

Meta (Facebook) PM Interview Course

Practice Meta-focused PM cases

Amazon PM Interview Course

Practice Amazon-focused PM cases

Apple PM Interview Course

Practice Apple-focused PM cases

Google PM Interview Course

Practice Google-focused PM cases

Microsoft PM Interview Course

Practice Microsoft-focused PM cases

All Courses

Explore all courses

1:1 PM Coaching

Practice in a one-to-one session

Resume Review

Narrate impactful stories via resume

Guides Pricing
nextsprints logo

Not a member?

By proceeding, you agree to our Terms of Use and confirm you have read our Privacy and Cookie Statement.

nextsprints logo

Register to continue.

Login with Google Login with LinkedIn

By proceeding, you agree to our Terms of Use and confirm you have read our Privacy and Cookie Statement .

Company focus

Ramp
Product Strategy Medium Member-only

Should Ramp charge separately for its Ramp Intelligence AI agents, bundle them into Ramp Plus, or keep them free?

Prepared by NextSprints

8 mins
Report an error
Pricing Strategy Business Model Analysis Experimentation Fintech Artificial Intelligence B2B SaaS Pricing Product-Strategy Ramp Ai-Agents
Product Management Product Strategy Question: Ramp Intelligence AI agent monetization and pricing

Introduction

Ramp makes most of its money from interchange: every time a customer spends on a Ramp card, Ramp earns a share of the merchant fee. The core card and expense software is free, while Ramp Plus (listed at $15 per user per month) and enterprise plans add advanced features. Since 2025, Ramp has shipped a growing set of AI agents under its Ramp Intelligence umbrella: agents that review expenses for controllers, process invoices for AP teams, handle procurement requests, and help with accounting. These agents do real work that finance teams used to do manually, which raises a strategic question: should Ramp charge separately for its AI agents, bundle them into existing plans, or keep them free to drive card and payment volume?

Key business objectives:

  1. Capture value from agents without slowing adoption
  2. Protect Ramp's free-tier growth engine
  3. Fund the rising compute cost of running agents at scale
  4. Use agents to differentiate against Brex, Navan, Expensify, and bank cards

I'll clarify goals, analyze the market, define a vision, prioritize options, plan execution, set KPIs, cover risks, and summarize.

Step 1

Clarify the Strategic Goals (3-4 minutes)

  • Is the primary goal near-term revenue from agents, or long-term platform growth where agents drive more card spend and product adoption? I'll assume long-term platform growth with a requirement that agents cover their own compute cost over time.

  • Are all agents similar in value and cost, or do some (for example, AP invoice processing) create far more measurable savings than others? I'll assume value varies widely by workflow.

  • Who decides on purchases at our customers: the CFO, the controller, or the finance ops team? I'll assume CFOs approve paid upgrades, while controllers are the daily users and champions.

Subscribe to access the full answer

Image of author NextSprints

NextSprints

Updated Oct 31, 2026