I just realized that the number of AI-employees at Riverline has exceeded human employee count and this blog is about the workplace of the future.
Obviously there’s caveats to this, these AI employees are still not running on loop for as many hours as our team, but there’s a clear rise in the way we’re now referring to them by names instead of tool-names.
These are different from just “AI agents” because as opposed to working on a set knowledge and prompts, these “AI systems” create new knowledge that becomes valuable to the organization.
Before I dive deep into how to set this up for your company or what the future looks like, let me give you an example of where the present is already at.
Just to give you rough context - we have a 11 member team and around 11+ AI-employees that complement their work.
- Specific AI employees for business analysis that integrate mongoDB queries with the style of BI dashboarding. Each AI business-analyst has their own tools and sub-agents (kind of like interns) who do data-preparation and feed them
- Coding agents who know how to work with db management, queue infra, microservices and code reviewing for handholding new developers
- AI employees for admin work - right from infosec questionnaires, to company secretary work, to regulation compliance and even revenue tracking and followups.
- AI employees for strategy - right from skepticising business risk, to understanding user’s behavioral nature.
- AI employees for brainstorming product - We’ve built some of the most complex and beautiful enterprise workflows by brainstorming with 1 AI-employee which can be put into ideas with code.
- A secretary for Riverliners - I use our OpenClaw agent in slack to track ideas, bug reports, send me report briefs for everything from tech-infra reviews to research paper and news.