ABC+ Content Engine Sprint

If you cannot describe your content system, you do not have one.

Content is produced in silos. Every market, every team, every agency creates its own. The same message in twelve variations. No shared taxonomy. No systematic reuse.

The result: high production costs, low utilisation of existing assets, and a review process forced to check the same thing again and again.

What you need is not more content. It is a system.

ABC+ in four steps

A. Audit

We map your current reality: content production, workflows, governance, review friction, and where work gets stuck. No change without an honest picture of the starting point.

Deliverable: content audit with gap analysis, duplication report, and recommendations.

B. Buyer persona and journey

We define who your audience actually is in this context, what "useful" means in their everyday work, and where your communication adds value. AI can scale the wrong focus. This step prevents noise.

Deliverable: persona profiles, journey maps, and content gap analysis per journey phase.

C. Content excellence and publishing plan

We build a tailored content excellence model: taxonomy, reuse rules, ownership, QA loop, and a publishing plan the organisation will commit to.

Deliverable: content architecture, publishing plan, roles and responsibilities, governance routines.

Plus: scale with AI

AI accelerates your existing model. ABC ensures it is the right model. Once the foundation is in place we implement prompt packs, templates, and governed workflows that increase output without lowering quality or control.

Deliverable: prompt library, AI-assisted production workflows, measurement framework.

Results in numbers

• 85% time reduction in content production with an automated pipeline
• 12+ markets where ABC+ has been implemented
• 16 articles published on content operations and the ABC+ method
• 80/20 the goal: 20% production, 80% distribution (most teams have it inverted)

ABC+ is not theory. The method has been implemented across more than twelve markets in one of the most heavily regulated industries there is. If it holds up under that level of scrutiny, it holds up in yours. Results are measured in reduced production time, increased content reuse, and faster approval cycles.

Proof of concept: a live consumer health publication runs a fully automated content pipeline built on ABC+ principles. From research to publishing, with AI-assisted production and built-in quality control. The result: 85% time reduction compared to the manual process.

4 to 12 weeks, depending on scope

A typical ABC+ sprint follows three phases:

1. Phase 1 (weeks 1 to 3): Discovery and audit. Content inventory and duplication mapping. Stakeholder interviews across brand, digital, subject-matter experts, and frontline teams. Gap analysis and quick-win identification.
2. Phase 2 (weeks 4 to 8): Design and build. Persona profiles and journey maps. Content architecture and taxonomy. Publishing plan and governance model. First AI-assisted content assets as proof of concept.
3. Phase 3 (weeks 9 to 12, optional): Scale. Prompt packs and templates for scaled production. Workflow automation. Training and handover. Measurement framework and improvement rituals.

The technology behind the engine

We use a combination of proven tools, not proprietary platforms:

• n8n for workflow orchestration and automation
• Claude and other leading models for AI-assisted content production
• HubSpot or WordPress for publishing and distribution
• Google Sheets for content calendar and pipeline data
• Custom QA workflows for quality control and compliance checks

Everything is open and portable. You own the system, not us.