Protecting the search experience standard
People trust a search engine because of its accuracy. For one global tech conglomerate specializing in internet-related services and products, maintaining this precision required tedious manual review of every user report about search result quality.
Any massive surge in feedback would easily overwhelm a fully human workforce. This backlog threatened the platform’s reputation.
Combining AI speed and human logic
We partnered with the company to design a human-in-the-loop review system, where AI and people collaborate in a single workflow.
High-velocity AI analysis
AI scans and analyzes user feedback first. By crafting prompts based on the platform’s strict quality standards, we accelerated review cycles and ensured ideal AI outputs from the first pass.
Humans as the final layer
Our expert teams then validate the AI’s decisions, correct errors and refine the results. This feedback generates fresh training data, improving model accuracy over time.
Real-time visibility
To ensure total transparency, we built custom dashboards to track trends across nine distinct workstreams. These tools deliver granular insights and a live, comprehensive view of the
entire operation.
