## Manny Medina’s New Startup, Paid, Helps AI Agents Get Paid
The world of artificial intelligence is rapidly evolving, and companies are racing to monetize their AI solutions effectively. Manny Medina, the visionary founder behind Outreach, has launched a new startup called **Paid**, designed to help AI-driven agents generate revenue efficiently.
Medina’s service comes at a crucial time when AI automation is expanding across industries and businesses need a scalable way to charge for agent-driven services.
### The Rise of AI-Powered Agents
AI agents—powered by sophisticated large language models (LLMs) and machine learning algorithms—are becoming an integral part of business processes. These digital workers can:
– **Handle customer inquiries** autonomously.
– **Automate repetitive tasks** and workflows.
– **Integrate with enterprise systems** for seamless execution.
However, monetizing these advanced solutions has been a challenge for many startups. Whether it’s a virtual sales assistant or a finance bot, businesses often struggle with implementing effective pricing models. That’s where **Paid** comes in.
### What is Paid?
Paid is a **billing and monetization platform** specifically designed for companies that deploy AI-powered agents. Rather than relying on traditional subscription-based models or metered API usage, Paid allows businesses to implement **usage-based pricing, dynamic billing, and revenue-sharing mechanisms**—all optimized for AI-driven services.
With Paid, startups focusing on AI automation no longer need to worry about complex monetization strategies. The platform provides a streamlined way to **track usage, process transactions, and ensure profitability** in a world increasingly driven by digital agents.
### How Paid Helps AI Startups Scale
Paid offers several key features that address core challenges in AI monetization:
#### 
**Seamless Revenue Collection**
Many AI startups struggle with **charging per interaction, API call, or workflow executed**. Paid facilitates **automatic revenue collection** through integrations with common payment gateways, making it easier for startups to charge clients based on real-time usage.
#### 
**Flexible Pricing Models**
Unlike static pricing structures, Paid supports:
– **Pay-per-use models** – Ideal for AI agents that operate on demand.
– **Subscription-based pricing** – For businesses that want predictable revenue streams.
– **Performance-based pricing** – Charge customers based on AI accuracy or outcome-driven metrics.
This flexibility allows AI startups to optimize their profit margins while remaining competitive.
#### 
**Real-Time Analytics and Billing Transparency**
Paid ensures that businesses using AI-powered agents get clear **visibility into their revenue streams**. The platform provides:
– **Detailed analytics on AI interactions**, showing how agents contribute to business outcomes.
– **Automated invoicing**, reducing manual efforts in tracking payments.
– **Real-time financial dashboards**, helping startups make data-driven decisions.
### Why Paid Matters in the AI Economy
With AI automation on the rise, businesses are shifting towards **agentic models**—where AI-powered agents perform roles traditionally held by human workers. However, charging for AI productivity in an efficient and scalable way has remained a significant hurdle.
Paid solves a vital problem by:
Enabling AI startups to **monetize agent-led services without needing complex custom billing solutions**.
Providing **plug-and-play pricing models** that adapt to real-time AI usage patterns.
Helping companies **increase profit margins** by aligning **revenue with AI-driven value creation**.
### The Team Behind Paid
Manny Medina, known for building **Outreach into a category-defining sales engagement platform**, has now set his sights on revolutionizing **AI monetization**. His expertise in scaling SaaS startups makes him the perfect leader to tackle AI billing challenges with Paid.
The company is expected to attract significant interest from **AI-first startups, enterprise automation platforms, and developers** creating digital workers that rely on **LLMs and AI workflows**.
### What’s Next for Paid?
As businesses continue integrating AI-powered agents into their workflows, demand for a **dedicated AI billing solution** will only grow. Paid has the potential to become the **financial backbone for AI automation**, helping companies unlock new revenue streams.
With AI capabilities expanding beyond text-based chatbots into **decision-making agents, automated sales reps, and self-sufficient digital assistants**, a service like Paid could become **essential infrastructure** for the next generation of AI-driven industries.
### Final Thoughts
Manny Medina’s **Paid** is setting the stage for a **new wave of AI monetization**. By solving the **complex billing and revenue challenges** faced by AI-driven businesses, Paid has the potential to become a game-changer in the AI economy.
For AI startups looking to scale profitably while ensuring their agent-based services are **efficiently billed and monetized**, Paid might just be the breakthrough they need.
