AI-assisted work
AI can support early production steps, but qualified people keep review and final sign-off.
AI transparency
AI in the workflow. A human on every final output.
Procurement asks language vendors a direct question: how do you use AI, and who checks it We use AI to assist the work. A person reviews and signs off before anything reaches you, and the policy bends to your compliance requirements.
ISO 9001:2015, 27001:2022, and 17100:2015 certified. Human review is built in, not bolted on.
110,000+
verified language specialists
300+
languages across active service lines
4,500+
dialects and regional variants
110+
rare and indigenous language pairs
1,000+
brands served since 2015
Proof scale
300+ languages 1,000+ brands served since 2015 across AI data, translation, localization, media, and interpretation.Work view
What buyers need to see before approval.
These visuals show the work context behind the offer, not generic decoration.
Policy evidence
AI use, escalation, and human accountability are documented in terms procurement can inspect.
Our principle
A person is always in the loop on final output.
AI can draft, sort, and speed up the early stages. It does not decide what ships. A qualified reviewer owns the final call on accuracy, meaning, tone, and cultural fit, the same second-review principle ISO 17100 requires, whether or not AI touched the file.
Client-configurable AI policy
You set the policy. We deliver to it.
A regulated client and an AI lab building training data have different rules. The policy is yours to set, project by project.
If AI is prohibited → fully human
When your contract, regulator, or internal policy does not permit machine translation or generative AI in the production chain, we deliver a fully human workflow, enforced through resourcing and process, and stated in writing.
If AI is permitted → AI-assisted, then human-reviewed
When you allow it, AI assists the early and repetitive stages. Every AI-assisted output is then reviewed by a qualified person before it reaches you: the speed of assisted work without giving up human judgment.
Assistance vs judgment
A clear line between what AI does and what people decide.
Where AI assists
- Drafting first-pass output for a human to review
- Pre-processing: formatting, segmentation, file preparation
- Generating candidate options a reviewer accepts, edits, or rejects
- Speeding up repetitive, high-volume steps
- Flagging items that may need a closer human look
Where people own the decision
- Reviewing every AI-assisted output before delivery
- Accepting, correcting, or rejecting what the AI produced
- Final sign-off on accuracy, meaning, terminology, and tone
- Cultural and contextual judgment for the audience
- The decision on what actually ships to you
AI data handling
Using AI does not change how your data is protected.
The same controls that govern any MoniSa project apply to AI-assisted work.
Access is scoped and revoked
Role-based access provisioned per project. People see only the tasks or batches they are working on, and access is removed when the engagement closes.
Confidentiality is contractual
Everyone who touches your work signs a binding non-disclosure agreement before they receive any access.
No unauthorized reuse
Your content is used to deliver your project. It is not repurposed for unrelated work.
Controlled environments for sensitive material
For high-sensitivity projects, we run controlled-access environments that limit copying and local retention of client data.
Why it matters for procurement
Built for the questions your reviewers will ask.
A documented, auditable position
You get a clear, written record of how AI is used and where human review sits, the answer an approved-supplier review or a security questionnaire asks for.
We adapt to your framework
As AI rules tighten across regions and industries, our policy is built to map to your requirements rather than impose ours. We align to the standard you are held to.
Human accountability stays intact
A qualified person reviews and signs off on final output. For regulated, safety-sensitive, or brand-sensitive work, that human checkpoint is the control your auditors want to see.
More on how we operate
The rest of the picture.
Trust Center
Certifications, security, and data handling.
How we work
The engagement path from brief to scale.
About MoniSa
The company, the Udaipur operating base, and the team behind the work.
Have a compliance requirement?
Send us the rule you work under.
Prohibited AI, permitted-with-review, or something in between. We set the policy to match before any work starts.
Start a project brief