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Manufacturing — What to execute

Multilingual Documentation at Scale

Documentation time reduced by 78%; sales team freed from 60+ drafting hours per month; 4-language library built in 6 weeks.

DATA SOURCESProduct specsCertificate archiveEN/CPR standardsNotified body resultsRFQ requestsDOCUMENTATION ENGINEFoundation model APIStructured document generationfrom specsEN/CPR template layerDatasheet, DoP, and guide formatsDeepL Pro + glossaryControlled multilingualterminologyOUTPUT4-languagelibraryTechnical datasheetsDoP declarationsApplication guidesSame-day RFQ response

The challenge

Documentation production was a hard ceiling on how many markets the business could serve simultaneously — and no one had quantified it until the cost showed up in missed tenders.

The documentation backlog wasn't visible as a line item — it was embedded in sales cycle drag, in RFQ responses that arrived two days after the buyer had moved on, in tender submissions that required a week of internal coordination to assemble. The compliance team was producing CE Declarations of Performance manually from template files that had drifted out of sync with current test data. Translation was outsourced per request, at EUR 0.15–0.20 per word, creating a cost disincentive to maintain multilingual content. The result was a documentation library that was simultaneously out of date, incomplete, and only available in the languages the company happened to have translated on request. For buyers doing technical due diligence online — which is how most procurement decisions now begin — this meant the company was structurally invisible in markets where it was physically competitive.

The system

Decision system built

A documentation automation system was built on a foundation model API integrated with the company's product specification database and existing test certificate archive. The system ingests structured product data (gramage, width, tensile strength, CBR, EN test results) and generates compliant technical datasheets, Declaration of Performance documents, and application guides — in four languages simultaneously, formatted to EN and CPR standards. A translation consistency layer (DeepL Pro with a managed terminology glossary) ensures that technical terms — gramage designations, standard references, application classifications — are rendered consistently across all output languages. The system is triggered by product data updates, not by individual requests.

System components

01

Foundation model API integration with structured product specification database

02

EN and CPR-aligned document template layer with dynamic field population from test certificate archive

03

DeepL Pro translation integration with managed technical terminology glossary (EN/DE/FR/PL/AR)

04

Automated Declaration of Performance generation mapped to current Notified Body test data

05

Version control and audit trail for all generated compliance documents

06

CRM-integrated RFQ response assembly — buyer-specific documentation packages compiled on demand

How we worked

01

Engagement scope

Product specification database audit and structuring, document template design to EN/CPR compliance standards, foundation model prompt architecture for each document type, DeepL Pro terminology glossary build, CRM integration for RFQ assembly, review workflow design (human sign-off retained for all compliance-critical outputs), staff training.

02

Timeline

6-week initial deployment: database structuring and template build in weeks 1–3, system integration and pilot output review in weeks 4–5, full library generation and publication in week 6. Ongoing model and glossary refinement in subsequent months.

03

Operating model

Human review checkpoint retained for all CE Declarations of Performance before submission — system drafts, compliance officer approves. Commercial datasheets and application guides go to market on auto-generated output with periodic spot-check review. Terminology glossary owned and maintained by the technical sales team.

Outcomes

Business impact & measurable results

Documentation time reduced by 78%; sales team freed from 60+ drafting hours per month; 4-language library built in 6 weeks.

01

Documentation production time reduced by 78% across datasheet, DoP, and application guide output — from an average of 4.5 hours per document to under 1 hour including review

02

Multilingual technical library covering 4 languages (EN/DE/FR/PL) built and published within 6 weeks of system deployment — previously existed only in English

03

Sales team documentation workload reduced by an estimated 62 hours per month, redirected to qualification and follow-up

04

RFQ response time cut from 3–5 days to same-day for standard product inquiries, with measurable improvement in early-stage tender inclusion rates

05

CE Declaration of Performance documents brought into sync with current test data for the first time in 18 months, removing a latent compliance exposure

Governance

Trust, collaboration & governance

01

All compliance-critical documents (DoP, CE conformity declarations) subject to mandatory human review before use — the system accelerates production, not sign-off

02

Terminology glossary built collaboratively with the technical team to ensure industry-standard language, not generic translation

03

Full version control and audit trail on all generated documents — each output is traceable to the source test data and generation date

04

System designed around existing product database structures — no data migration or re-entry required

Reframe

A manufacturer delivering language-appropriate documentation on the day of an enquiry stops competing on documentation and starts competing on product.

Across every engagement, the goal is the same: engineer a system that makes better decisions — faster, more consistently, and at scale — than the process it replaces.

Start a discovery

Most engagements begin with a conversation about context.

We do not send a proposal before we understand the problem. Start by telling us about your decision context — we will identify the highest-leverage intervention areas before any scope is agreed.