Generative AI

AI Content Generation for Marketing & Communications

Content generation at scale produces volume. Whether it produces brand-consistent, legally defensible, audience-appropriate content depends on what governance existed before the first batch ran. We build content programs where the prompt library, brand rules, approval workflow, and quality standards are designed before production begins.

What you get

  • A prompt library built against your brand standards, not generic templates
  • Approval workflow designed to maintain speed without removing brand review
  • Content types mapped to approval requirements. Not every piece needs the same review.
  • Quality measurement framework your team can use without external help
  • Documentation of what the AI can generate autonomously vs. what requires review

What This Covers

Specific capabilities and deliverables within this engagement.

Content Architecture

  • Content type inventory and production workflow mapping
  • Prompt library design with brand voice documentation
  • Template structure for high-volume repeatable formats
  • Multi-channel content adaptation (email, web, social, long-form)

Brand & Quality Controls

  • Brand voice and tone rule documentation
  • Factual accuracy review requirements by content type
  • Legal and compliance checklist integration
  • Quality scoring criteria by content type and audience

Workflow Integration

  • CMS and publishing platform integration
  • Approval queue design and ownership assignment
  • Feedback loop from content performance to prompt iteration
  • Version control for prompt library updates

Performance Measurement

  • Content quality sampling and review cadence
  • Performance tracking by content type and channel
  • Prompt performance monitoring over time
  • Quarterly governance review checklist

Engagement flow

How the work progresses

Each step produces concrete decisions, artifacts, and sequencing guidance your team can use immediately.

1

Brand & Content Audit

Document brand standards, existing content types, approval requirements, and publishing workflow before selecting or configuring tools.

2

Prompt Library & Governance Design

Build the prompt library against your documented brand standards and design the approval workflow around your actual review capacity.

3

Tool Configuration & Integration

Configure AI content tools, integrate with your publishing workflow, and test output against real brand and compliance requirements.

4

Production Rollout & Quality Monitoring

Roll out to production with quality sampling, performance tracking, and a documented review cadence.

Best fit signals

This work is most valuable when the need is clear but structure, ownership, and sequencing are not yet defined.

You need to increase content volume but your current production process can't scale without adding headcount
AI content tools are already in use but output quality is inconsistent or brand compliance is uncontrolled
Your approval workflow is the bottleneck, not the content generation itself
You need content production that legal and compliance can audit

Ready to Get Started?

Book a strategy call to discuss your requirements and whether this engagement is the right fit.