Turn daily tech news into a content amplification and whitespace plan

Reena Mistry Kasabia, a tech and AI marketer at a global firm with sites in 160-plus countries, spent a few months building nine automations and skills in Microsoft Copilot Cowork instead of one big agent. A daily job scans four kinds of sources (business, tech, research, policy), picks five stories balanced across topics, checks recent briefings to avoid repeats and emails the briefing to her team. A trend job reads the stored briefings and groups them into client problems. A weekly job uses a content crawler skill she wrote to search the global and country sites, confirm pages are live, propose up to five pieces to resurface with reasons, and log what it chose. A five-skill chain inventories competitor content and news coverage, then maps gaps and suggests thought leadership pieces. Copilot Cowork is not in our agent list.

In a test over eight weeks the trend job read 62 briefings and 310 stories and produced 27 topics in a spreadsheet with counts and a rotation schedule; she plans to rerun it quarterly. She says the full chain does weeks of research in 8 to 20 hours of run time, work her team would otherwise skip. People still review topics, choose what gets amplified and approve the whitespace map before the last step. She says she cannot yet tie any of it to sales pipeline.

She split the work so each step only does research or only does analysis, and made skills report "nothing found" separately from "could not search". The value she reports is capacity, not a measured business result. The email and spreadsheet tools used are not named.