AI agents often default to "build it yourself" because SaaS products aren't designed for them. To stay relevant, SaaS companies must create agent-friendly CLIs, APIs, and even add hints in help text to guide agents through complex workflows.

The next billion AI agent users will not interact via developer-centric interfaces like Telegram. The winning platforms will be opinionated, provide guardrails, and hide technical complexities like tool calls, offering a user experience closer to a polished SaaS product.

Building a single AI tool is not enough. The real value lies in becoming the 'conductor,' creating a system that orchestrates multiple specialized AI agents to complete complex workflows. Whoever owns this coordination layer owns the entire value flow.

The business model is shifting from selling software to selling outcomes. Instead of creating a tool and inviting users, create pre-trained agents that perform valuable work. Then, invite companies to a workspace where this 'team' of AI employees is ready to start delivering value immediately.

Simply adding a generative AI co-pilot is now table stakes for SaaS companies. The founder argues the next evolution is 'agentic AI' — systems that don't just provide insights but autonomously perform tasks and make decisions for the user, like qualifying and actioning a sales lead.

Contrary to the "SaaS-pocalypse" theory, AI agents will become a new, high-volume user base for SaaS tools. This will drive massive growth for companies that adapt their products to be usable by both humans and AI agents simultaneously.

The idea that AI will kill SaaS is flawed. Instead, SaaS is evolving to integrate "agentic" capabilities. This creates a hybrid model where humans and AI agents collaborate within optimized workflows, delivering more value than either could alone. This fusion expands the market rather than destroying it.

The rise of AI agents enables a move away from traditional per-seat SaaS pricing. Instead of selling access to a tool, entrepreneurs can sell a specific, guaranteed outcome delivered by an agent (e.g., a daily brief of competitor activity), transitioning to an outcome-based revenue model.

In a world where AI agents perform tasks, the value of a SaaS product is no longer its user-friendly interface but the robustness of its APIs. The core differentiator becomes the proprietary business logic, security, and data governance embedded within the API layer.