Mairit plugs into the AI your marketing and support teams already use and routes copy, customer responses, and external communications to a senior brand or support reviewer before they're published. Internal leads first. Specialists when stakes are high. Audit trail your CMO and legal team can stand behind.
Your marketing team uses AI to draft everything now. Support replies with it. Social posts with it. Most sounds fine. Some makes claims you can't back up. Some sounds like everyone else's AI. Some ends up in a screenshot.
Email campaigns drafted by Jasper. Customer responses generated by Intercom Fin. Social posts written by ChatGPT. Published in minutes. Read by thousands. Screenshotted in hours when the AI invents a claim, breaks tone, or quietly says something the legal team would never approve.
The brand lead catching the off-tone subject line. The senior CSM rewriting the AI-drafted refund response. The Head of Comms who notices the press release implies a claim the company can't substantiate. They review what they can. The volume of AI-drafted content is well past what one or two senior reviewers can hold.
FTC truth-in-advertising rules. UK ASA CAP Code. UAE NMC media content rules. Industry-specific claims regulation (financial promotions, health, automotive). Plus the most expensive regulator of all: your customers, who screenshot anything that feels off. Right now, your evidence of brand and claims review is whoever was in #marketing-review when the email went out.
One command. The right reviewer. Reviewed copy back in minutes. No more chasing brand in Slack, no more last-minute legal pings, no more screenshots on Twitter.
An AI-drafted email campaign. A customer support response. A social post. A press release. Something that would normally sit in #marketing-review waiting for a senior who has 47 other things going on.
Type /review. Mairit reads the work, identifies the domain, and surfaces the two or three people best placed to check it.
Your in-house brand or support lead by default. A vetted external reviewer from our network when stakes are high or domain-specific. Structured rubric. Tone, claims, brand fit, legal exposure. No essays.
Reviewed copy returns inline. Cryptographically signed. Audit-logged. Ready to publish with a record that holds up to your CMO, your legal team, and any regulator who comes asking.
Same launch email. One gets reposted as a screenshot. The other one converts.
Marketing campaigns. Customer support responses. External communications. The content work that needs senior review before it reaches the customer.
Your marketing team uses AI to draft launch emails, landing pages, ad creative, and social. Today brand catches the worst ones during the post-launch retro. With Mairit, every AI-drafted campaign routes to a senior brand reviewer for a tone, claim, and brand-fit check before it ships. Off-tone subject lines flagged. Unsubstantiated claims caught. Brand voice deviation surfaced.
Intercom Fin, Zendesk's AI, your custom support agent. Drafting 80% of customer responses now. Most are fine. Some misquote the policy. Some commit to refunds you don't offer. Some sound like a chatbot when the customer needed empathy. Mairit puts a senior CSM between the AI draft and the customer's inbox for the responses that matter most. High-LTV customers. Refunds and cancellations. Complaints. Anything escalation-shaped.
Investor updates. Press releases. Regulatory disclosures. Crisis comms. The places where one wrong word costs the company money or trust. AI is great at the first draft. AI is dangerous on the final word. Mairit routes every external comm to a senior reviewer (Head of Comms, GC, or CFO) for a material-statement and claim-substantiation check.
MCP-native. Directory-aware. Attested. Built for the work your team actually produces.
Mairit reads your team directory and knows which of your brand, marketing, and support leads are qualified for what motion, what audience, and what content type. They're the default reviewers. When nobody internal fits, or the stakes are unusually high, Mairit falls back to a curated network of senior brand, claims, and customer-experience reviewers you don't have to manage.
Reviewers don't write three paragraphs of brand commentary. They answer a rubric built for the specific motion. 12 questions for a marketing campaign. 10 for a customer support response. 16 for an external communication. Faster for them. Consistent across the team. Defensible at audit.
When a brand or support lead attests, it's cryptographically bound to their identity, their team role, and the timestamp. Every material action produces an immutable audit record. When your CMO, your legal team, or a regulator asks who reviewed what claim and when, you export the answer in one click. In a format that maps to FTC and ASA evidence, your brand-control framework, and customer-claim disputes.
Marketing campaigns. Customer responses. Press releases. Investor updates. Regulated, audited, screenshot-able. Mairit treats it that way from day one.
Claim-substantiation evidence captured per FTC §5. Defensible record of who reviewed what claim and when.
Aligned with CAP Code requirements. Substantiation and review trail captured per piece.
Sector-specific rules supported (financial promotions, health claims, auto efficiency). Reviewer routed by content domain.
UAE National Media Council content compliance. Reviewer assignment respects regional content rules.
Customer data referenced in support responses handled with regional compliance. No model training. Reviewer access scoped.
One-click export of content, review, attestation, and reviewer credentials in regulator-preferred format.
Type I in audit. Type II target year 2.
AES-256 at rest. TLS 1.3 in transit.
Your campaign and customer data is never used to train models.
Per-piece only. Customer-PII redaction default-on.
Pick one motion. Plug into the AI your marketing or support team already uses. See whether senior-grade review at machine speed actually changes how your team publishes.
CMOs and Heads of CX who'd rather have the brand-control trail in place before the screenshot lands on Twitter.
A bad claim spreads faster than a good campaign. The question isn't whether your AI will publish something off, it's whether you have a record of who let it through.