Technical information is scattered
Products, compatibility, variants and application limits are hidden in PDFs, folders and old emails.
Independent technical studio
AI assistants for documents, technical catalogs and product sheets.
Fenutech helps sales and technical teams find reliable answers inside catalogs, datasheets, manuals and approved documents, with cited sources and clear limits.
- Cited sources
- Question history
- Human review
From scattered material to an ordered flow
Starting materialCatalogs, email, PDFs and documents the team already uses.
Assisted summaryAnswers and summaries based on controlled sources.
Clear next stepMissing data, priority and actions stay visible.
Human checkA person approves what matters.
Work historyQuestions, results and statuses remain easy to review.
Where the work can be clearer
Fenutech starts from the steps that slow the team down: finding information, completing requests, preparing answers and knowing what happens next.
Sales loses time on repeated questions
Every answer requires searching through sheets, manuals and previous conversations.
AI needs structure
A useful system needs sources, scope and review, especially for technical or commercial answers.
What it includes
Document organization
Catalogs, datasheets, manuals and technical notes are organized into a controlled scope.
Search and answers
The assistant retrieves relevant sources and answers with references.
Review and improvement
Questions to clarify, feedback and results are kept in a clear history so the system improves.
Concrete example
A realistic scenario showing the workflow shape and expected result.
Fictional example: valve catalog
A buyer asks which product family fits a given material, temperature and environment. The assistant retrieves approved datasheets, cites the source and proposes options for review.
Unresolved questions
When documentation needs clarification, the system keeps the question visible for human review.
Indicative investment
OfferBest forIncludesFrom
AI catalog/document assistant
Search and answers over catalogs, datasheets and approved documents.
- Source citations
- Question history
- Human review
AI Prototype Sprint
Validate one useful AI/workflow system before a larger build.
- Focused scope
- Approved sources
- Testable output
Support and iteration
For AI/workflow systems used in ongoing operations.
- Result monitoring
- Monthly improvements
- Priority on workflow issues
After launch: continuity and order
The system should stay understandable, maintainable and documented after delivery.
Approved sources
AI systems work on defined documents, catalogs and data sources, with clear boundaries for each use case.
Human check
Important commercial results can be drafted by AI and approved by a person before being sent.
Clear records
Questions, results, access and important steps are documented so the system stays easy to understand.
FAQ
Do we need to rebuild the website first?
No. If the bottleneck is internal — documents, quotes, email, dashboards — Fenutech can start with a separate tool. If the site or catalog is part of the workflow, it becomes an interface for that process.
How are customer answers handled?
For important commercial workflows, the system usually prepares drafts, summaries and suggestions. A person decides what gets sent.
How long does an AI prototype take?
A focused prototype can often be validated in 2-4 weeks when the documents, workflow and internal reviewer are clear.
Can the system be handed over later?
Yes. Projects are built with standard technologies, clear access and essential documentation so another technical professional can take over if needed.
Where does the data go?
It depends on the project. Before the system is used in daily work, Fenutech defines which sources are used, what data may pass through external services, what stays internal, what is recorded and which outputs need human approval.