Instead of static documents, business processes can be codified as executable "topical guides" for AI agents. This solves knowledge transfer issues when employees leave and automates rote work, like checking for daily team reports, making processes self-enforcing.

The greatest value of AI isn't just automating tasks within your current process. Leaders should use AI to fundamentally question the workflow itself, asking it to suggest entirely new, more efficient, and innovative ways to achieve business goals.

Detailed reports from AI workflow analysis tools may seem overwhelming, but they serve a crucial team function. They create a clear, shared understanding of how work currently happens, forcing alignment before a new, AI-driven process can be adopted successfully.

Don't get distracted by flashy AI demonstrations. The highest immediate ROI from AI comes from automating mundane, repetitive, and essential business functions. Focus on tasks like custom report generation and handling common customer service inquiries, as these deliver consistent, measurable value.

To build coordinated AI agent systems, firms must first extract siloed operational knowledge. This involves not just digitizing documents but systematically observing employee actions like browser clicks and phone calls to capture unwritten processes, turning this tacit knowledge into usable context for AI.

Frame tasks as a chain of "and then" actions an infinitely staffed team would perform. For example, a customer query in Slack is answered, "and then" AI turns it into a help article, "and then" it becomes SEO content. AI makes these previously cost-prohibitive workflows achievable.

While generating products with AI is popular, a massive unlock lies in applying it to unseen internal processes. AI can optimize workflows, improve content design, and perform analysis. These non-product applications can create significant leverage for design teams within larger organizations.

Instead of traditional IT roles focused on software, an AI Ops person focuses on identifying and automating workflows. They work with teams to eliminate busy work and return hundreds of hours, shifting employees from performing tasks to directing AI.

The barrier to creating AI-powered solutions has dropped dramatically. An HR team member with no AI expertise built a Slack bot trained on the employee handbook to answer common questions, saving hours of repetitive work. Every department should be empowered to identify and automate its own low-value, repetitive tasks using accessible AI tools.