Teams | Collaboration | Customer Service | Project Management

Maya runs IT for Beaconstone Financial, a fintech company with 2,000 employees. Her engineering teams work in Jira and GitHub. Sales lives in Salesforce. Most decisions happen in Slack threads, Google Docs, and SharePoint folders that nobody can find six months later. Leadership wants Rovo to answer questions across all of it. Her head of sales has asked for account briefs that pull in the latest Salesforce opportunity data and last week’s customer call.

To your customers, your frontline workers are your brand: the shop assistant who finds the right size, the warehouse lead who ships the order, the home nurse who checks in. They make up about 80% of the global workforce, yet they’ve been left out of the last decade of workplace transformation. While corporate teams have agents, instant customer data and connected systems, the frontline often runs on paper checklists and group texts, without even a corporate email address.

In 2025, companies spent a collective $581 billion on AI. The results were underwhelming: according to a study by MIT, 95% of Enterprise AI pilots showed zero impact on organization’s bottom lines. In short, the vast majority of AI pilots are unsuccessful. The reflex is to blame the models. The evidence points somewhere easier to control: context. Every answer AI produces is assembled from a context packet—the material used to respond to the presented prompt.