.png)
BCO AI Content Operations System
AI-assisted research-to-publication pipelines that preserve medical trust guardrails across drafts, newsletters, and specs.
Overview
BCO content production required translating clinical research into patient-facing outputs with strict trust standards. I built a suite of skills that draft articles, generate branded newsletters, and produce product specs — with guardrails embedded at the prompt architecture level.
Problem / Opportunity
What was broken (or missing), and why it mattered.
Writers had to interpret clinical language, apply voice, format across channels, and preserve review pathways — creating bottlenecks.
High volume plus strict requirements increases the risk of inconsistency without systematized enforcement.
In healthcare, trust boundaries can’t be an afterthought — they must be encoded into workflows and outputs.
My role
Explicit ownership and responsibilities.
- Content workflow analysis
- Skill architecture design
- Prompt engineering with brand + medical guardrails
- Multi-format output pipeline design
- Product ideation system design
- Feature specification workflow automation
Process / Approach
Where the strategy, structure, governance, and tradeoffs live.
- 1) Drafting pipeline (research → article)
Built a drafting skill converting clinical sources into structured patient-facing articles with voice and boundary enforcement.
- 2) Newsletter conversion (article → HTML)
Created a transformation skill producing send-ready HTML emails aligned with brand layout and CTA patterns.
- 3) Product ideation grounding
Designed ideation workflows constrained by user segments, strategic pillars, and organizational guardrails to prevent drift.
- 4) Specification automation
Built PRD generation that includes guardrail notes, review pathways, sourcing expectations, and success metrics.
Hard boundaries, sourcing transparency, and escalation documentation were enforced in the output structure — not left to memory.
Outputs were formatted specifically for CMS upload, ESP import, and engineering review to reduce “last mile” manual work.
Visual systems diagrams
Placeholders for architecture maps, flows, governance models, and lifecycle diagrams.
Source intake → draft generation → review pathways → publish → newsletter distribution.
Where constraints live: prompt boundaries, output schemas, sourcing links, escalation triggers.
Technology
Tools and systems involved.
- Claude (Anthropic)
- Claude Cowork
- Prompt engineering with hard constraints
- HTML email generation
- Structured output design
- Product specification frameworks
- Healthcare trust standard encoding
Outcome / Impact
The organizational and product-level effect.
- Reduced research-to-draft time from hours to minutes
- Eliminated manual reformatting between article and email workflows
- Created a replicable AI content pipeline preserving trust standards
- Demonstrated domain-specific acceleration without compromising governance
- Improved alignment of AI ideation with organizational constraints
Start with an AI Ops audit to identify high-ROI workflows, governance needs, and a pragmatic 30/60/90-day plan.