Manufacturing LinkedIn Content Agent

Overview

An EMS manufacturing software company needed to turn quoting workflows, product data, and supply chain insight into consistent LinkedIn content across multiple profiles. The system runs the full cycle: ingest, generate, quality-check, illustrate, schedule, publish.

The challenge

The material was too technical to become readable content consistently.

1. Converting manufacturing, quoting, and supply chain data into engaging posts took heavy manual effort every cycle.
2. Voice and quality drifted between the personal and company profiles.
3. There was no quality control: output depended entirely on who wrote it that day.

The approach

1. Ingests product documentation, quoting workflow data, call transcripts, and industry sources into a knowledge layer.
2. Generates posts grounded in that internal data plus live industry research pulled fresh each cycle.
3. An AI quality gate scores every draft and rewrites anything below threshold before a human ever sees it.
4. Generates brand-aligned images per post.
5. Schedules and publishes across personal and company profiles, each with its own voice and 8 structured content pillars.

The results

1. Consistent posting across personal and company profiles with no writer in the loop
2. Source material flows to scheduled posts end to end, no manual step in between
3. 8 structured content pillars per profile for strategic coverage
4. Built-in quality control: every draft scored, weak drafts rewritten on the spot
5. Live industry research folded into every generation cycle
6. Brand-aligned images created for every post, no designer needed