Case Study: Abacum reduces ramp times with Guru Knowledge Agents

How Abacum Uses Knowledge Agents to Keep Product Documentation Up-to-Date, Reducing Ramp Times

Abacum, an AI-native FP&A platform, faced a challenge with its globally distributed post-sales team. Their deepest product knowledge was concentrated with a small group of experts in Barcelona, creating bottlenecks and slowing down delivery timelines. This tacit knowledge was not documented, and static resources could not keep pace with their rapidly changing product, leading to long ramp times for new hires outside of that core location.

To solve this, Abacum implemented Guru to create a single knowledge layer. They embedded a Guru Knowledge Agent directly in a Slack channel to provide answers where questions were already being asked. Guru was connected to curated sources and, crucially, a weekly automation was built to scan for knowledge gaps and auto-draft new content. This solution drastically reduced new-hire ramp time by as much as 60%, closed hundreds of knowledge gaps, and saw thousands of questions answered within Slack, leading to widespread organic adoption across multiple teams.

Abacum