Why Pricing AI Is Hard

Pricing AI agents isn't like pricing software. You're selling:

Time savings (efficiency)

Error reduction (quality)

Scalability (growth)

Insights (decision-making)

All of these are hard to quantify upfront.

The Pricing Framework

1. Cost-Plus Pricing (The Floor)

Calculate your costs:

Development time × hourly rate

Infrastructure (API calls, hosting)

Maintenance & support

Add your margin (20-40%)

This gives you a minimum viable price.

2. Value-Based Pricing (The Ceiling)

Estimate the value you deliver:

Hours saved × hourly rate

Error reduction value

Revenue enabled

Risk reduced

This gives you the maximum clients should pay.

3. The Sweet Spot

For SMBs: Start at $500-2,000/month for basic agents

For Mid-market: $2,000-10,000/month for complex workflows

For Enterprise: $10,000+/month or custom

Pricing Models

Retainer (Most Common)

Fixed monthly fee

Includes X agents, Y hours support

Predictable revenue, easy to sell

Usage-Based

Base fee + per-message or per-task

Good for variable workloads

Harder to predict revenue

Project-Based

One-time implementation fee

Plus ongoing maintenance

Good for custom builds

Our Take

We're currently in private beta, so pricing is still being finalized. But the principle is simple: start small, prove value, expand. Contact us to learn more.

How to Price Your AI Agent: A Complete Guide