Review Takes Weeks
Brand, legal and regulatory review is done by people, with spreadsheets and workarounds. A draft that took minutes waits in line.
Content Governance for AI Agents
AI Writes in Minutes. Approval Still Takes Weeks.
Let your AI agents publish at the speed they write. They get your brand, legal and market rules before they start, every piece is checked before it goes live, and each step is on the record your compliance team needs.
Built on the Foundation Used and Trusted By
Built on the Foundation Used and Trusted By: Bayer, Nestlé, Case Western Reserve University.
The Bottleneck Moved
Writing Content Is Easy Now. Publishing It Safely Is Not.
Every page, email and document still has to pass brand, legal, regulatory and accessibility rules. Those rules change with every market, product and channel.
Rules Differ Everywhere
A product page in the United States follows different rules than the same page in France. Keeping every version right by hand does not scale.
No Proof, No Publishing
If you cannot show that a piece was checked and approved, it cannot go live. So AI output stops where review begins.
By 2028, an Average Global Fortune 500 Enterprise Will Have Over 150,000 Agents in Use
Only 13% of Organizations Think They Have the Right AI Agent Governance in Place
Watch the Overview
See Forty Pages in Six Markets Go Live Within Your Rules
Three minutes with a fictional consumer health brand: the rules before anyone writes, the checks in Word, and the record your auditors read.
Narrated by ElevenLabs.
Drupal is a registered trademark of Dries Buytaert.
Transcript
What Widebound Is
This is Widebound. It keeps the content you write with AI within your nine policy packs, from factuality to your own internal policies.
An Example: Halvora Health
Meet Halvora Health, a fictional consumer health brand. You lead content for its allergy tablet. Every page, email and listing goes through brand, legal, regulatory and accessibility review, and SEO and GEO checks. And the rules change from market to market. On Monday, a label update lands. Forty pages across six markets have to change. AI drafts them in minutes, but many come back from review with the same comments as last time.
Three Steps: Context, Checks, Proof
Widebound works in three steps. Context: before anyone writes, people and AI get the rules that apply. Checks: the draft is checked against those rules, with the same result every time, explained rule by rule. Critical issues block publishing. Proof: what goes live carries a record of the rules it passed and who approved it. It works where your teams write: in Word, in Google Docs, in your CMS, in AI assistants like Claude, ChatGPT and Copilot, and with AI agents that connect to it. And it brings in results from the SEO, GEO and accessibility tools you already use. Here's Word.
In Word, Then on the Website
You open Widebound, and the US rules are right next to the page. Copilot drafts the new section. Widebound checks it against your approved claims, the Drug Facts label and your brand guide. "Non-drowsy" isn't an approved claim, so it offers the approved wording. One click. The missing "use as directed" line goes in. The page passes. Then you send it to your website. It arrives there exactly as approved, linked to the Word file it came from, with its checks and changes on the record. When audit asks, it's one export. You decide where people still sign off, like medical review for new claims.
Where People Still Sign Off
The rest first proves it agrees with your reviewers, then runs on its own. And reviewer feedback isn't lost in the document. Widebound uses it to improve the context drafts start from and the wording it suggests, and, where a check is missing, to extend the checks. Because it's one set of rules,
One Set of Rules in Every Channel
the same check runs on the spring email Copilot drafts. "Non-drowsy" is caught there too, before the email goes out.
The Short Version
Your rules, where you write. Proof, when you publish. Widebound. Making enterprise ContentOps autonomous.
How It Works
How Your Agents Can Publish Without Waiting for Review
Three steps run for every piece: Context, Checks and Proof. Agents start with the right rules, a critical failure stays offline, and you can show how each piece was approved.
- 01 · Context
Drafts That Start Right
Before an agent writes, it receives the brand, legal and market rules that apply to this piece, so fewer drafts come back for changes.
- 02 · Checks
Problems Caught Before Readers See Them
Before a piece goes live, it is checked against those rules. You can see why each piece passed, and critical failures block publishing.
- 03 · Proof
An Answer Ready for Every Audit
Every piece goes live with a record: which agent, which model, which rules, and who approved.
Every Tool
Govern Content in Every Tool Your Teams Already Use
Your teams use Word, Google Docs, the CMS and AI assistants like Claude, ChatGPT and Copilot; AI agents connect through MCP. The same rules and the same record apply in every tool, so an audit finds no gaps between them.
Where content is written
- Microsoft WordRules while you write
- Google DocsRules while you write
- AI assistantsClaude, ChatGPT, Copilot
- Your AI agentsConnect through MCP
Widebound
- Contextthe rules that apply
- Checksbefore it goes live
- Proofthe record of each step
Where content goes live
- DrupalPublished with its record
- ContentfulPublished with its record
- Your CMSThrough an integration
Proof
Show Any Auditor How a Page Was Published
Each piece goes live with its record: which agent wrote it, which model, which rules applied, and who approved it.
The record is written as the work happens, so nobody has to rebuild it from tools and inboxes when a regulator or an internal audit asks.
If your policy requires a person to approve a rule, a market or a channel, switch that step on. The approval becomes one more step on the record, and everything else keeps moving.
Drafted the France product page with the 14 rules that apply to it.
Checked against Branding, Market regulation · FR, Factuality and Accessibility. One finding.
Rule MR-FR-02 rewrote one sentence to the approved wording.
Matched the endorsement to approved claim C-208 and its reference.
Checked again as rendered: accessibility and metadata pass.
Published to Drupal · fr-FR. Record sealed.
Your Tools, Your Policies
See the Record Your Pages Would Carry
A demo built around your tools, policies and workflows shows how content moves from the rules an agent receives to the record it goes live with.
Policy Packs
Use the Rules You Already Have
Standard packs cover factuality, data protection, branding, SEO, GEO, accessibility, UX and market regulation. Your brand guide, legal guidance and internal policies become packs of their own during onboarding, so nobody sets a rule up twice.
- FactualityStandard pack
- Data ProtectionStandard pack
- BrandingStandard pack
- SEOStandard pack
- GEOStandard pack
- Market RegulationStandard pack
- AccessibilityStandard pack
- UXStandard pack
- Internal PoliciesTranslated at onboarding
Two Teams, One System
Speed for Marketing, Proof for Compliance
The team that decides whether agents may publish gets the evidence to say yes. The team that feels how slow publishing is gets to move at the speed it writes.
Read more for compliance teams or for marketing teams, or see it for life sciences and consumer goods.
- For Compliance Teams Compliance receives proof of the rules every published piece passed, in every tool, while critical failures stay offline until they are fixed.
- For Marketing Teams Let marketers publish at the speed their agents write, in every market, without waiting for the next review cycle.
- Branding: passed100
- Market regulation · FR: passedfixed by rule MR-FR-02
- Factuality: passedclaims agent matched C-208
- Accessibility as rendered: passedWCAG 2.1 AA
- SEO/GEO: flaggedone suggestion, not blocking
Insights
Prepare Your Teams for Agents That Publish
Why approval became the bottleneck, how to write rules an agent can follow, and what an auditor needs to see.
- Point of View
AI Made Content Free. Approval Is Now the Bottleneck.
Generating content became nearly free in 2026, but approving and publishing it did not get faster, and that gap now decides who moves at AI speed.
Thiemo Müller · 6 min read
- Explainer
Why One AI Judge Isn't Enough for Compliance at Scale
Asking one AI model whether content is compliant looks fine in a demo, but at thousands of decisions a day even 90% accuracy means hundreds of errors a legal team cannot accept.
Thiemo Müller · 5 min read
- Guide
How to Write Brand and Market Rules an AI Agent Can Follow
Rules written for people rely on judgement and context that an AI agent does not have; six habits make the same rules clear enough for agents and for the people who audit them.
Thiemo Müller · 7 min read
Questions
Frequently Asked Questions
What is Widebound?
Widebound is the governance layer that lets enterprise AI agents publish content safely. It gives agents the brand, legal and market rules before they write, checks every piece before it goes live, and keeps a record that proves each step.
We can't let agents publish on their own yet. Is Widebound for us?
Yes. Most teams start with people still signing off, and still publish sooner: legal and compliance get a version that already follows your rules, so it can be approved the first time, with fewer review rounds. Checks with little compliance risk, such as SEO and GEO, can run without sign-off from the start. Anything else runs on its own only once Widebound shows it agrees with your reviewers.
Does a person still need to approve content?
Only where your policy says so. Agents check and fix content against your rules, and critical failures block publishing. If you want a person to approve a rule, a market or a channel, you switch that step on, and the approval becomes part of the record.
Which tools does Widebound work with?
AI agents connect to Widebound through MCP, and writers work with it in Microsoft Word, Google Docs, their CMS and AI assistants such as Claude, ChatGPT and Copilot. The same rules and the same record apply in every one of them.
How is this different from asking an AI model whether content is compliant?
Widebound's checks are deterministic and reliable: the same content gets the same result every time, and every result can be explained rule by rule. One model's judgement can change between runs, and it is hard to audit across thousands of decisions a day.
Who is behind Widebound?
Widebound is an extension of Content Sync, built on the same foundation that enterprise organizations around the world, among them Bayer and Nestlé, already use and trust. Content Sync has moved approved content between enterprise websites for ten years.
Your Tools, Your Policies
See a Page Go Live Under Your Rules
A demo built around your tools, policies and workflows shows how content moves from the rules an agent receives to the record it goes live with.