Case study / YOLO
YOLO: 40 hours of manual work saved every week.
A company agent connected to YOLO’s knowledge base, CRM, and databases saves 40 hours of manual work per week, delivering client-ready reports in under five minutes.
- Manual work saved
- 40 h/week
- Initial response
- 10 sec
- Per client-ready report
- < 5 min
YOLO needed a way to ask questions across the business and turn company information into reports its end clients could use. We delivered connected data pipelines and a founder’s company agent to carry that work through.
The business problem
Knowledge, customer context, and operational records lived across a knowledge base, CRM, and databases. Answering a business question and preparing a client report required gathering that context and carrying it through to a usable deliverable.
What we delivered
We built pipelines that connect those systems to a company agent designed for the founder’s business inquiries. The agent can work with the connected context and generate reports ready for end clients.
The workflow brings retrieval and report generation together. Business information becomes the working context for a specific deliverable, with feedback informing subsequent work.
The outcome
The delivered workflow saves YOLO 40 hours of manual work per week. The initial response takes 10 seconds, and each client-ready report is produced in under five minutes.
An initial response and a finished report are different milestones. Keeping both visible makes the experience and the business outcome easier to assess.
Why this matters
The value comes from shortening the path from company knowledge to work a customer can use. That is how we approach AI implementation: connect the relevant systems, give the agent a defined job, and measure the resulting workflow.