Strategic insights on building businesses around AI agents.

October 29, 2025
The US faces $2.7B revenue crisis as AI agents legally dodge taxes. First study shows identical AI, different structure across states, with the window of opportunity to legislate closing quickly.

October 8, 2025
Paid has partnered with GitLaw to create and release an open-source Master Services Agreement (MSA) specifically designed for AI agent companies. This contract addresses the unique challenges that traditional SaaS contracts fail to cover when applied to autonomous, adaptive AI systems. The Agentic MSA clarifies decision responsibility, establishes appropriate liability frameworks, and provides clear language around data ownership and training rights.

August 27, 2025
The most expensive agentic operations were their most valuable customers. Your agent's runtime is revealing which features matter, who'll upgrade, and what your business actually does. The cost layer is your intelligence layer.

August 25, 2025
Learn how established SaaS companies can leverage their platform advantages to dominate the agent revolution. Insights from leaders at Box, Salesforce, HubSpot & more on hybrid pricing, ARR per employee, and transforming from seats to outcomes.

August 20, 2025
Discover how SaaS companies can capture the $34B agent economy opportunity by becoming the infrastructure platform for AI agents. Learn the 3-layer strategy that turns AI disruption into 10x revenue growth through identity management, orchestration, and intelligence dashboards.

August 7, 2025
When founders admit their pilots aren't great - real solutions emerge.

July 23, 2025
After working with hundreds of agent companies at Paid, we've seen a clear pattern emerge. The most successful agents aren't trying to do everything for everyone. They're solving specific problems for specific industries.

July 10, 2025
5 Strategies to build agentic AI that sticks.

March 27, 2025
The platforms of yesterday weren't built for us. They were built for a world where software supported human workers.