case study
An agent that scans industry trends, selects resonant topics for FinOps and AI leaders, and drafts high quality blog posts with clear structure, sources, and distribution snippets.
Industry
Client Overview
Case Study Overview
We implemented a research to draft pipeline that monitors reputable sources, clusters topics, and proposes outlines before drafting. The agent generates a blog post with executive friendly structure and a set of distribution snippets for LinkedIn and email.
Leaders want fewer but better posts that reflect what is happening now. Manual research and writing were too slow, and topics sometimes missed the moment.
Publishing frequency moved from ad hoc to a predictable weekly rhythm, research time per article dropped significantly, and newsletter click throughs improved due to stronger topic selection and structured summaries that respected executive time.
We defined the editorial north star, then automated upstream research and topic scoring. We kept humans in the loop at outline approval, and tuned the agent to write in a simple, direct voice that matches Finabeo’s brand.
Trend scanning
Monitors industry bodies, hyperscaler updates, and analyst notes to surface timely themes.
Topic clustering
Groups related ideas to avoid duplication and to plan multi part series.
Outline first drafting
Proposes a clear executive outline before writing, which speeds review.
Source aware writing
Cites relevant materials and captures the why it matters for non technical leaders.
Repurposing snippets
Outputs pull quotes, LinkedIn snippets, and email intros for distribution.
Edit ready format
Delivers drafts with headings, bullets, and CTA blocks aligned to Finabeo style.
