AI does the digging so StoneBench's analysts do the thinking.
88 hrs/week
of senior research time returned to analysis and craft
3×
faster from brief to an evidence-backed outline
16%
more qualified BD conversations at top of funnel
The Challenge
StoneBench produces high-frequency, evidence-heavy editorial and custom research across finance, trade, policy and sustainability in Asia-Pacific — at a cadence of multiple published pieces a week. The bottleneck wasn't ideas or craft; it was the hours senior researchers lost to desk research, hunting through past reports, and re-finding sources they knew existed somewhere. Business development had the same drag: the right prospects were out there, but identifying and reaching them the way StoneBench reaches everything — with rigor — didn't scale.
The solution
A research knowledge engine. We turned StoneBench's back catalogue of reports, interviews and source material into a searchable, retrieval-first knowledge base. Analysts now pull evidence, prior framing and citations in seconds instead of digging — so more of each project goes to analysis and narrative, the parts clients actually pay for. A research-signal BD system. We built a system that surfaces and prioritizes the accounts and decision-makers most likely to need StoneBench's work, and equips the team with research-backed, personalized outreach the team sends themselves. More qualified conversations at the top of the funnel — none of it at the expense of how StoneBench sounds.
