Content Optimization & Operations

Content Governance

Set decision rights before the next disagreement.

Content Governance defines who may approve each type of content, which risks require another signature, and how exceptions are handled. Decisions no longer depend on whoever happens to be available. You walk away with written decision rights, risk tiers that have been tested against real cases, and a named exception path people can actually use.

Design a governance model
Team reviewing a decision-rights chart mapped against content risk levels

Some of the 500+ brands we've worked with

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  • Kuveyt Türk
  • GAP
  • MNG Kargo
  • Joker
  • Doremusic
  • Doğtaş
  • Bundle
  • Amazon
  • BMW
  • Shell
  • Hyundai
  • PepsiCo
  • Red Bull
  • Decathlon
  • MediaMarkt
  • Bayer
  • Sanofi
  • EY
  • KPMG
  • GE
  • 3M
  • Domino’s
  • Lexus
  • Trendyol

How we run it

How we create rules people can use

We begin with how decisions happen today, then test and introduce a model the team can follow.

  1. Map how decisions actually get made now

    We look at real approvals rather than the org chart. Who actually said yes last time, how long it took, and where things stalled or got skipped entirely. The people who actually approved things last time confirm the map is accurate.

    A picture of current decision rights, gaps, and recurring friction points.

  2. Name the risk tiers

    Not every piece of content carries the same risk. We sort content by what could go wrong if it's wrong and match review weight to that. Whoever holds real authority signs off on which risk tier a given content type belongs to.

    A risk-tiering model with the review level each tier requires.

  3. Write the rules down

    Who can approve what, who needs a second signature, how exceptions get requested, and where AI-assisted work needs disclosure or an extra check, in language people will read. The charter includes only historical patterns that a strategist judges material enough to become a rule.

    A governance charter and decision matrix mapped to the risk tiers.

  4. Test it against real cases

    We run a handful of past decisions through the new model to see if it would have produced a sane answer, and fix anything that would have jammed. The named approvers confirm the model would have produced a sane call on each past case before it goes live.

    A validated model with edge cases and exception paths worked out.

  5. Roll it out and watch adoption

    We hand the model to the people who'll use it, train them on the exception path, then watch whether real decisions start following it. Whoever owns the charter reviews the adoption signals and decides if the model needs a revisit.

    A rollout plan, adoption signals to watch, and a review date.

Who gets to say yes is not a question a model can answer

A year of historical approvals shows where decisions stalled and which exceptions kept recurring. An agent can sort that record, summarize the stalls, and compare current rules with how similar teams structure theirs. The record still cannot assign authority. Someone with actual sign-off power has to decide which risks need a second signature, when a bottleneck is worth keeping, and who owns the exception path. We keep those choices with the people who will use the rules, and each person remains named against the tiers they approve.

What you get

What the governance model includes

The charter records the rules, while the decision map shows why those rules are credible.

  • a workflow process diagram

    Decision-rights map

    Who currently approves what, where that broke down, and what a cleaner version would look like.

  • a governance charter document

    Governance charter

    The written rules for who signs off on what, by risk tier, including where AI-assisted content needs an extra check.

  • an editorial calendar grid

    Rollout plan

    How the new model gets introduced, who trains on it, and what we'll watch to see if it's being followed.

We call it done when: the decision rights are written down, tested against real cases, and the people who'll use them have seen the model and know where the exception path is.

Who it fits

When approval decisions keep reaching the wrong person

This creates a practical rulebook for approvals, escalations, and exceptions.

A good fit when

  • The same approval dispute keeps returning, because nobody can point to a written rule showing who gets the final say.
  • Content now touches legal, brand, and multiple teams, and nobody's written down who has final say.
  • AI-assisted drafting has raised review and disclosure questions your current policy doesn't answer.

Better handled as other work when

  • You want day-to-day workflow steps rather than a decision-rights framework. That's Editorial Workflow Design.
  • Every content decision is expected to pass through one person, so the proposed rules would preserve the bottleneck they are meant to resolve.
  • The charter needs a signature, but nobody with actual approval authority is willing to own the resulting risk tiers and exception path.
  • Work is simply moving too slowly, while the team already agrees who can approve each content type. Editorial Workflow Design addresses that operating problem.

People who write and ship this content

Some of these consultants write the pages themselves. Others plan distribution or check how a piece performs once it's live, so the team below covers more than one stage of the work.

Tools we use

Tools behind this work

  • Acrolinx

    the codified rule set that turns a written policy into an automatic check

  • Notion

    the decision-rights table itself, linked from every workflow it governs

  • Airtable

    a filterable risk-tier database for testing rules against real cases

Start the work

Ready to settle who has approval authority?

Three recent approval disputes are enough to start. We trace where authority was unclear and draft the model around those cases.
Talk to a Content Marketing specialist
Two people shaking hands on the start of the work

Before we start

Frequently Asked Questions

Is this the same as a style guide?

No. A style guide covers voice and formatting. This covers who's allowed to approve what and what happens when someone wants an exception.

How is this different from Editorial Workflow Design?

Governance sets the rules: who decides, what risk needs what review. Workflow design is the day-to-day path work takes through your team. Most clients eventually want both.

Does this cover AI disclosure policy?

Where relevant, AI-assisted drafting requirements for review or disclosure are written into the model instead of left as assumptions.

What if the rules we design don't get followed?

After the team has used the model for a few months, the adoption review tells us whether the problem sits in the model or its rollout. If one team missed training, we fix that gap. If approvers reject the matrix itself, we revisit the rules. Adding more policy to either problem will not make the charter enforce itself.