Use cases
Wherever AI is producing the work, Mairit puts a qualified human in the loop.
Pick a work type or a team. Built inside your agent, via MCP. In-house experts first, vetted specialists when nobody internal fits.
By work type
What gets reviewed. The work where getting it wrong actually hurts.
For contracts
→Vendor contracts, NDAs, MSAs. Reviewed by a qualified lawyer before they're signed.
For code
→Production code, security-sensitive changes. Reviewed by a senior engineer before it merges.
For content
→Marketing content, customer comms, brand work. Reviewed by an editor before it ships.
For compliance
→AI output against regulatory and policy requirements. Reviewed by a compliance specialist before it leaves the building.
For translation
→AI-translated documents and customer-facing copy. Reviewed by a native speaker before it goes live.
For quotes
→AI-drafted quotes, proposals, and pricing pages. Reviewed by sales and legal before they go out.
By team
Who reviews it. The people in your company who already do the deep checks.
For legal
→GCs and in-house counsel reviewing AI-redlined contracts. Supervision evidence your malpractice insurer will ask for.
For engineering
→Engineering leaders shipping AI-generated code. Senior review where it matters. Not on every PR.
For sales
→Sales teams sending AI-drafted quotes and proposals. Margin and legal exposure checked before it lands in inboxes.
For marketing
→Marketing teams shipping AI content at speed. Brand voice and factual accuracy, locked in.
For people
→HR and People Ops reviewing AI-drafted communications. Comp letters, policies, and offers, checked before they go out.
Pilot
Don't see your use case? Tell us what your team is reviewing.
Three domains at launch. The next ones get prioritised by the teams who ask for them. If you want a pilot in a domain that isn't live yet, say so.