Machine translation has improved considerably. The challenge for most organisations is not whether to use it, but knowing which content it can handle and which content it cannot. The IAH+ service (AI with Human Intelligence) addresses that question directly.
What IAH+ Is
IAH+ combines AI-generated translation with selective human review. A qualified translator does not review the entire document: they assess approximately 30% of segments identified as higher risk. These include dense technical terminology, syntactically complex sentences, numerical references, dates, and any segment where context is likely to cause the AI to produce an incorrect or ambiguous output. The remaining segments are delivered as produced by the AI engine, after automated quality checks.
The expected error rate is between 5% and 15%. That figure matters. It means this service is not appropriate for documents where accuracy is non-negotiable. For high-volume reference material where speed and cost efficiency take priority, it is a well-grounded option.
What Type of Content IAH+ Is Designed For
IAH+ works best for low-risk, high-volume content. Typical use cases include:
- Product catalogues for internal use or first-draft preparation
- FAQs and knowledge bases where publication speed outweighs linguistic polish
- Preliminary reports that will be reviewed internally before any decision is taken
- Internal technical documentation such as meeting notes, provisional procedures, or project logs
- Triage translations: quickly understanding the content of a document before deciding whether it warrants a full translation
IAH+ does not replace professional human translation for contracts, regulatory filings, external marketing materials, compliance reports, or any document with legal standing. For that content, strategic translation with three linguists and an ISO 17100 audited workflow is the appropriate level.
What Happens During Selective Human Review
The review process is not random. Segments selected for human attention are flagged based on risk indicators: terminology density, sentence length, the presence of measurement units or legal references, and the AI engine's known error patterns for that specific language pair.
The translator reviewing those segments is not editing for style. They are verifying factual accuracy and terminological consistency. The aim is to eliminate the highest-impact errors, not to produce a text with editorial quality throughout.
Delivery is typically within 24 hours. For very large volumes, timelines may be adjusted, but speed is one of the primary reasons to choose this service in the first place.
Comparing IAH+, Standard, and Strategic
The right service level depends on two variables: the risk associated with the document and the volume being translated.
| Criterion | IAH+ | Standard | Strategic |
|---|---|---|---|
| Linguists involved | AI + selective review | 1 qualified translator | 3 (translator + reviewer + QA) |
| Expected error rate | 5–15% | ~0% | 0% |
| Typical turnaround | 24 hours | 3–5 days | Varies by project |
| ISO 17100 certification | No | No | Yes |
| Recommended use | High volume, low risk | Operational internal docs | High-impact content |
The Standard service sits between the two: a single qualified translator who translates and self-reviews the full document, supported by translation memories and glossaries. It suits internal documents that require terminological precision but do not need independent review.
The decision should not rest on cost per word alone. An error in a compliance document can carry consequences that far outweigh the difference in service cost. The more useful question is: what is the cost of an error in this specific document?
When IAH+ Is Not the Right Choice
There are situations where IAH+ looks attractive on grounds of speed and cost, but introduces genuine risk:
- Contractual documents, even working drafts shared externally
- Safety Data Sheets (SDS/MSDS) with regulatory requirements
- Instructions for use (IFU) for medical devices or industrial equipment
- Any text that will be signed, certified, or submitted to a regulatory authority
In these cases, a 5–15% expected error rate is not acceptable. The concern is not abstract linguistic quality — it is the practical consequence of a specific error in a high-accountability context.
How M21Global Approaches IAH+
M21Global offers the IAH+ service as part of a structured three-tier framework alongside Standard and Strategic translation. Selecting the right tier begins with understanding the document type, language pair, volume, and intended end use. For organisations managing large translation volumes and needing to balance speed, cost, and risk, that analysis is the starting point. Contact M21Global to discuss your project profile and identify the most appropriate service for your specific needs.
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Frequently Asked Questions
What does IAH+ mean in translation?
IAH+ stands for AI with Human Intelligence. It is a service that combines AI-generated translation with selective human review of approximately 30% of higher-risk segments, enabling fast delivery with controlled human oversight.
What error rate should I expect from the IAH+ service?
The expected error rate is between 5% and 15%. For this reason, the service is recommended only for low-risk content such as internal reference material, FAQs, or triage translations.
Can IAH+ be used for legal or contractual documents?
No. Documents with legal, regulatory, or external-facing status require a service level with independent review and ISO 17100 certification. IAH+ is not appropriate for those use cases.
How quickly is an IAH+ translation delivered?
Delivery is typically within 24 hours. For very large volumes, the timeline may be adjusted depending on the volume of segments and the language pair involved.
How does IAH+ differ from the Standard translation service?
The Standard service involves a qualified human translator who translates and self-reviews the full document, supported by translation memories and glossaries, with an expected error rate close to zero. IAH+ is faster and better suited to large volumes, but operates with a higher accepted error margin.
