RideAlong
RideAlong is a business software platform that observes how employees actually perform their work, models the underlying workflows and expertise, and turns that institutional knowledge into AI agents, skills, and small software tools. The platform deploys these tools directly into employees' daily workflows, evaluates their impact, and improves them based on human corrections. It helps companies close the AI adoption gap by making enterprise AI seats useful for real, recurring tasks.
- Artificial Intelligence
- AI Agents
- Enterprise Software
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Companies have purchased enterprise AI licenses for their workforce, but most of those seats go unused because employees lack role-specific guidance and tools that fit their actual jobs. The gap between making AI available and incorporating it into everyday work means the tasks AI was meant to absorb are still being done by hand, and leaders cannot see what their AI investment actually returned.
Solution
RideAlong captures how work is actually performed by sitting alongside employees as they work, learning which parts of their week repeat, and modeling the workflows, expertise, exceptions, and outcomes. The platform then builds agents, skills, and lightweight software that integrate directly into employees' daily processes, offering to walk them through automation on their own real tasks in the moment the work shows up. Nothing is automated until a human approves it, and anything running can be switched off in one click. The platform continuously evaluates whether the deployed tools actually improved the work and learns from human corrections, enabling organizations to turn tacit institutional knowledge into executable, improving tools that evolve with use. Every hour handed back is counted and priced, so the people who signed the contract can finally see what the spend returned.
Target Audience
Primary customers are business teams and organizations that have purchased enterprise AI licenses but are seeing low adoption and want to turn their institutional knowledge into executable, measurable automation. The platform is currently being built with a first group of design partners.
Features
- Observes actual work activity to identify recurring workflows, expertise, exceptions, and outcomes without relying on outdated process docs or incomplete system logs
- Builds AI agents, skills, and small software tailored to specific observed workflows and deploys them into employees' existing tools and processes
- Requires explicit human approval before any automation runs, with one-click shutdown capability for any deployed tool
- Evaluates deployed tools against real work outcomes and improves them based on human corrections and results
- Counts and prices every hour handed back to employees, providing measurable return on AI investment
- Sits alongside employees in their workflow rather than requiring them to leave their tools to use a separate AI interface