Emerging AI rolesRemote contract, AI content review
An AI content governance lead who checks every claim before it ships
Shruti Kaushik is a remote, contract AI content governance lead who makes sure AI-drafted posts, pages and outreach say only what a B2B company can prove. She built claim-checking into Klype, her own platform, where every draft is reviewed against the company’s written facts before anyone approves it.
What is AI content governance for a B2B marketing team?
AI content governance is the set of sources, review rules and approvals that decide what AI-drafted posts, pages and outreach may claim, and how each claim traces to evidence. Shruti Kaushik sets it up on contract, using the claim-check pattern she built into Klype, where drafts are checked against written company facts.
Key facts
- Article 50 of the EU AI Act sets transparency obligations for providers and deployers of AI systems that generate content. (EU AI Act, Article 50, in force 2024)
- Klype checks every draft against a company’s written facts before approval. (Klype, Nov 2026)
- She was named one of Forbes Game-Changing Leaders in 2025. (About page, 2025)
What an AI content governance lead does
Once a marketing team uses AI to draft, volume stops being the bottleneck and accuracy becomes the risk. A model will happily write a statistic that does not exist, a customer you never had, or a capability the product lacks, in a confident voice. At ten posts a month a careful editor catches it. At two hundred pieces across LinkedIn, the blog, programmatic pages and outbound, nobody does without a system.
Regulators have noticed. The US Federal Trade Commission’s Operation AI Comply in September 2024 targeted deceptive AI claims, and the EU AI Act’s Article 50 sets transparency duties for AI-generated and manipulated content. Large companies now post dedicated roles: Google listed a Content and AI Compliance Specialist at $131,000 to $192,000 base to design a compliance and risk programme with measurable KPIs.
For a B2B growth-stage company the job is narrower and more practical. These are its parts.
One source of truth
Write down the facts the company may state: product capabilities, numbers with their sources, named customers with permission, pricing rules and forbidden claims. Every model and every writer draws from it.
Claim-check pass
Every AI draft is scanned for factual claims, each claim is matched to a source or flagged, and anything unsourced is cut or rewritten before review.
Review rules and roles
Who approves what, at which risk level. A LinkedIn post, a comparison page naming a competitor, and a regulated-industry case study need different reviewers.
Voice and pattern checks
Readers flag template patterns as AI-written and stop trusting them. Drafts are checked against the house voice and a list of known AI tells before they go out.
Disclosure and records
Decide where AI assistance is disclosed, label synthetic media, and keep an audit trail of draft, sources, reviewer and approval for every published piece.
Training and drift
Short training for the team, a monthly sample audit of published content, and updates to the source of truth as the product and market change.
Who is hiring for it, and what postings pay
Dedicated AI content compliance titles are still rare outside large companies, so the evidence is a mix of named postings and the rules that drive them.
- $131k to $192k
posted base for Google’s Content and AI Compliance Specialist role in Washington, DC.
Google posting, via Marketing Monk - Art. 50
of the EU AI Act sets transparency obligations for providers and deployers of AI systems that generate or manipulate content.
EU AI Act, Article 50 - 5 cases
announced together by the FTC under Operation AI Comply, targeting deceptive AI claims and schemes.
FTC press release, 25 Sep 2024 - 56%
of sales reps report AI-related mistakes, and 35% fully trust their data, per a vendor survey.
AiSDR industry report 2026 (vendor data)
Figures are employer-posted ranges or published analyses, quoted as each source states them and checked on 9 November 2026. Full comparison in the 2026 AI GTM roles and pay study.
What I have already built
Claim-checking is built into the product I own, and I apply the same rules to my own sites, where every article ends with a method and sources.
Klype, a B2B SaaS I built
Klype is a B2B marketing intelligence platform on NestJS and Next.js. It holds a company’s facts, buyer, positioning and voice, and every draft is checked against them.
klype.aiTwo Claude connectors
AI Recommends Checker (which companies AI engines name in a category) and LinkedIn Post Checker (template patterns readers flag as AI-written), both callable from inside Claude.
Open the checker3,600+ LinkedIn posts
Written for SaaS and AI founders since 2015, for clients including Sprinklr, Sony, Zee Entertainment, Array Networks and SugarBox.
Case studiespSEO and AEO across three sites
Programmatic pages, schema, llms.txt and Wikidata entities across shrutikaushik.com, klype.ai and wisemango.io. One inbound inquiry has already arrived via ChatGPT.
Read the case studyKlype MCP server, listed in four directories
A remote MCP server with OAuth 2.1 sign-in, listed on the official MCP Registry, Glama, Smithery and mcpservers.org.
klype.ai/mcpFree AI visibility tools
An AI answer audit that turns buyer questions into scored prompts for five engines, and a LinkedIn founder profile grader at wisemango.io/linkedin-profile-grader.
Run the audit
Client work since 2015 includes Sprinklr, Sony, Zee Entertainment, Array Networks and SugarBox. Named one of Forbes Game-Changing Leaders in 2025, with bylines in The Times of India, Business Insider and YourStory. Case studies.
Engagement shape
For B2B marketing teams that already publish AI-assisted content at volume and want accuracy and disclosure handled before it becomes a problem.
- Week 1 to 2
- Inventory where AI drafts today, sample recent published pieces for unsourced claims, and write the first version of the source of truth.
- Week 3 to 4
- Install the claim-check and review workflow in the tools you use, with risk levels and named approvers, and train the team.
- Every month
- Audit a sample of published content, report what was caught and fixed, and update the rules.
- How we work
- Remote and contract, alongside your marketing lead and, where needed, your legal counsel.
- Not a fit
- Legal advice: I work with your counsel, not instead of them. Regulated medical or financial claims review that requires a licensed reviewer.
Questions
Anything else, ask on the call or write to me.
What is AI content governance?
The rules, sources and review steps that decide what AI-drafted content may say, who approves it, how AI use is disclosed, and how each published piece can be traced back to its sources.
Is this a legal service?
No. It is an operating system for marketing content. Where a claim has legal risk, the workflow routes it to your counsel.
Do you need us to use Klype?
No. Klype is where I built the pattern. The same source of truth and claim-check pass can run in your current tools.
Does the EU AI Act apply to our marketing?
Article 50 sets transparency duties for AI-generated content, and how it applies depends on your role and use. Treat it as a question for counsel; the governance workflow gives them the records they need.
Who is Shruti Kaushik?
A B2B founder-led GTM operator, founder of Klype AI, author with bylines in The Times of India, Business Insider and YourStory, and a Forbes Game-Changing Leaders 2025 honoree.
Is it remote and contract?
Yes, remote and contract. Scope and terms are agreed on a call.
Send a brief
Tell me the company, the role you were about to hire for, and what has to ship first. I reply within two working days.