Intent-Aware Autonomous Workforce MVP

Knowledge workers are spending 62% of their workday on routine activities rather than strategic initiatives, limiting overall productivity and impact. There is no system in place to understand and proactively act on user intent, forcing tools to rely on explicit, step-by-step instructions. Data pipelines require manual intervention at every stage, with no automated transformation or intelligent routing, further slowing operations. Enterprise security requirements such as SOC 2 compliance and encryption add additional barriers to enabling autonomous AI capabilities. Meanwhile, existing automation platforms demand significant technical expertise, restricting widespread adoption across teams.