Editorial Workflows and Governance

Introduction

When more than one person, or more than a few pieces a month, are involved, good intentions are not enough. You need a workflow: who does what, in which order, with which checks. Governance is the set of rules and records that keep AI use safe, honest and accountable. This applies to a small team and a large one, only at different scales.

The simple explanation

Every published piece should have a named human who is responsible for it, a record of how it was made and a clear checklist it passed.

Roles

Even in a small team, one person can wear several hats, but make the roles explicit:

• Strategist or editor-in-chief: sets topics, standards and priorities
• Writer or creator: produces the draft, with or without AI help
• Subject-matter expert: checks accuracy and adds experience
• Editor: structure, clarity, voice
• Fact-checker or reviewer: verifies claims and sources
• Compliance or legal reviewer for regulated or high-risk content
• Publisher or channel owner: formatting, scheduling, accessibility
• Analyst: measures results and reports

One person should be the accountable owner for each piece.

A workflow with gates

1. Brief approved (audience, goal, sources, risks)
2. Research with a source log
3. Draft by a person, using AI as an assistant where allowed
4. Expert and fact check
5. Edit for voice and clarity
6. Compliance and accessibility check
7. Approval by the accountable owner
8. Publish and record the version
9. Measure and update on a schedule

A gate means the next step cannot start until the previous one is passed. Use a simple board with columns for each stage, and a checklist on every card.

An AI use policy

A short, practical policy prevents mistakes and arguments. Cover:

• Approved tools, and who decides to add new ones
• What data may be entered: never confidential, personal or client data into tools not approved for it
• Allowed uses: brainstorming, outlines, editing, summarising supplied text, formatting
• Restricted uses: anything high-risk, such as medical, legal or financial advice, without expert review
• Prohibited uses: inventing quotes, people, reviews or sources; impersonation; deceptive content
• Verification: all factual claims checked against sources
• Disclosure: when and how AI use is disclosed, following the rules of each platform, publisher and client
• Intellectual property: respecting copyright and licences, and how AI outputs are used
• Quality standards: the rubric and checklist
• Responsibility: the human owner is accountable for the content
• Review: the policy is updated regularly as tools and laws change

Records

Keep, for each important piece:

• The brief and final version
• The source log
• Who reviewed and approved it, and when
• Whether and how AI tools were used (tool, date, purpose)
• Any permissions and licences
• Changes after publication

This protects you if a complaint, a legal question or a client audit arises, and makes updates easier. Use version control or a document system with history.

Working with freelancers and clients

• Put expectations about AI use in contracts: what is allowed, what must be disclosed, who owns the outputs and what warranties apply.
• Require original work and source logs.
• Agree the review process and deadlines.
• Protect client confidentiality.

Training and culture

• Train people on tool use, fact-checking and your policy.
• Encourage speaking up about errors without blame.
• Share good prompts and lessons.
• Review failures openly and improve the process.

Try it yourself

Draft a one-page AI use policy and a nine-step workflow for your team (or yourself). Name the accountable owner for the next three pieces you will publish, and create a record template.

Summary

• Define roles, gated workflow steps and one accountable owner for each piece.
• Write a short AI use policy covering tools, data, allowed and prohibited uses, verification and disclosure.
• Keep records and version history, and put AI expectations into contracts.