A large SDR team was spending too much time on manual prospect research and inconsistent outreach, while adoption of modern AI tools lagged, capping the team's.
Meeting or call prep done by hand
4 companies have fixed this with AI, most of them in Financial Services, Technology & Software and Financial Services Government & Public Sector. 2 of the 3 that disclosed a timeline were live inside two months; the longest took 2–4 months. One disclosed cost: $25K – $100K. Built mostly as knowledge management & search, data synthesis & reporting and AI workforce enablement, on Node.js / JavaScript, OpenAI / ChatGPT / GPT and LangChain. 4 builders in the Pluris network have done it.
Solutions
4 on fileThe client’s growth team was spending too much time turning scattered institutional knowledge, past proposals, product details, compliance constraints, and account.
A venture capital fund running 20–30 company evaluations per week was drowning in fragmented deal intelligence, transcripts, emails, investment memos, and external.
A $1 billion AUM hedge fund managing approximately 200 public equities ran an analyst workflow that was bleeding time.