Instead of requiring specialized engineering teams to architect complex agent systems through code, business analysts, product managers, and domain experts could directly translate their operational knowledge into production-ready AI agents by writing Standard Operating Procedures in plain English - eliminating the translation gap between "what the business needs" and "what engineers build" while reducing a three-month engineering project requiring Python expertise, framework knowledge, and DevOps skills into a three-day documentation task that your compliance team could execute, fundamentally democratizing agent development from technical gatekeepers to domain experts who actually understand the workflows.

Start documenting your team's 3-5 most repetitive multi-step workflows as detailed written procedures (step-by-step instructions, decision trees, exception handling rules) in plain English or markdown format, because when natural language agent frameworks mature, these documented SOPs become instant automation candidates that can be deployed in days rather than months - and organizations that haven't mapped their institutional knowledge into structured documentation will spend quarters playing catch-up while you're already scaling agent deployments across every documented process.