Review can't scale forever
Teams produce more content across more channels, including AI-generated drafts, while checking every routine requirement by hand takes time.
Introducing SCAYT · Early access
Standard and Content Assurance You Trust
AI content review inside your publishing workflow
Your content moves fast. Your standards still matter. SCAYT is an emerging AI content review and governance solution, designed to check human-written and AI-generated content against the rules your organization defines—inside the workflows your teams already use, with people making the final call.
Built on WebSpellChecker's embedded language technology
Public information / draft
Community services update
Our department shall provide an update on the application process.
If you need assistance, please refer to the guidance below.
SCAYT 2 findings
Preferred wording
Consider “must” instead of “shall”
Needs reviewRequired information
Check guidance link and contact details
Needs reviewRules your organization controls
A new product direction from WebSpellChecker. Figures reflect WebSpellChecker today.
10+Years operating
1,000+Paying orgs worldwide
30KFree-tier
20B+Words / month (SaaS)
The challenge
More content. More ways for important details to slip through.
Whether a person writes the first draft or an AI assistant does, the organization is still responsible for what it publishes—so pre-publication review still matters.
Standards live in different places
Style guides, brand terminology, internal content policies, and publishing requirements are often disconnected from the writing tools.
Errors become public problems
Missed language or policy requirements can trigger rework, inconsistent communications, and loss of confidence.
Who it's for
Does your team publish content that has to follow a rulebook?
SCAYT is being explored for teams that need consistent content policy checks before content goes public. Find the use case that looks most like yours.
Make public information easier to follow.
Explore checks for agency terminology, plain-language conventions, and required information such as contact details in notices or service guidance.
Protect editorial consistency as volume grows.
Explore style guide enforcement, preferred terminology, and documented review checkpoints within report production.
Check communications against defined rules.
Explore checks for required disclosures, prohibited wording, and brand voice, with escalation to human reviewers for business-critical content.
The approach
One workflow. Your standards. Clear next steps.
SCAYT is being designed as a configurable content governance layer for your existing tools, not another writing destination or generic AI chatbot.
01 / CONFIGURE
Define what matters
Set preferred terms, style guide conventions, required wording, and review criteria based on your organization's content standards and policies.
02 / CHECK
Review content in context
Apply AI content review where people write or manage content, with findings shown in context and linked to the requirement they relate to.
03 / DECIDE
Resolve or escalate
Help authors resolve findings and escalate judgment-heavy cases to the human reviewers responsible for final approval.
We're validating this workflow with prospective customers. The examples below illustrate the intended experience; advanced policy and approval capabilities are not presented as generally available today.
Explore the concept
Interactive concept previewSee how one document becomes ready for review.
This illustrative pre-publication review shows how SCAYT could flag an AI-generated paragraph, identify an internal-policy issue, and route a draft for human review. Findings are predefined—choose a highlighted passage to inspect one.
Community services notice
Review pending
Resolve or route the example findings before a human editor makes the final decision.
DraftSCAYT checksHuman approval
3 findings need attention
Illustrative workflow. The checks, content, and actions are predetermined for demonstration. No uploaded text or automated compliance analysis is performed in this preview.
Why SCAYT
Built for organizations with their own rulebook.
Generic writing assistants and proofreading help improve a sentence. Enterprise content assurance needs to reflect your organization's rules, what it must check, and when a person needs to decide.
Your rules, not generic advice
Envisioned around your own terminology, brand voice, and content requirements.
Designed to fit your tools
Builds on a long-standing foundation of embedding proofreading in editors and applications.
Human decisions stay visible
Proposed review workflows distinguish items to address from those needing expert judgment.
Deployment choices matter
Existing WProofreader supports cloud and self-hosted setups. SCAYT's advanced processing scope will be evaluated per pilot.
From an established foundation
New product ambition. A decade of experience building embedded language tools.
SCAYT is a proposed evolution of WebSpellChecker's proven text-checking foundation. For investors and ecosystem partners, we're open to conversations about the market opportunity, design partnerships, and the next phase of the product.
Questions worth asking
Curious? So are we.
We're developing this product with market feedback, and we want to be clear about the vision and current stage.
Is SCAYT available today?
Not generally yet. SCAYT is an early-stage AI content review concept from WebSpellChecker, being validated through conversations and pilot exploration. It builds on WebSpellChecker's existing language technology, but the broader policy-checking and approval experience shown here is illustrative and subject to development.
Does SCAYT guarantee regulatory compliance?
No. The proposed solution is intended to help teams review content against requirements they configure and make review more consistent. It isn't legal advice, a compliance certification, or a substitute for expert and human oversight.
Can our content stay inside our infrastructure?
Existing WProofreader technology supports self-hosted deployment. For SCAYT, the available deployment model and which advanced checks can run entirely within an approved environment will need to be confirmed for each pilot. We won't assume every AI-assisted feature is local.
Will this work with our CMS or editor?
WebSpellChecker technology already integrates with different editors and applications. SCAYT's pilot integrations will be selected based on participating organizations' workflows and requirements. Tell us your platform when you get in touch.
How does pricing work?
Commercial packaging and pricing for SCAYT are still being validated. A pilot discussion can help determine scope, workflows, deployment needs, and how you would measure value before discussing a commercial proposal.
What would trustworthy publishing look like for your team?
Help shape SCAYT through a pilot. Tell us which content checks, review workflows, and outcomes would make it worth using.