Documents are hard to search
Technical answers are trapped in PDFs, datasheets, manuals, folders and email threads.
Independent technical studio
Practical AI automation for technical B2B companies.
Fenutech builds useful tools that organize quotes, documents, catalogs, email and customer requests: approved sources, understandable limits and human checks where needed.
- Approved sources
- Human checks
- Maintainable systems
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.
Quote requests need context
Sales teams can start from clearer context before they respond.
Operational dashboard to create
AI results, requests, manual review and process status can become visible in one place.
What Fenutech can build
Customer-request summaries
Turn long emails and forms into usable summaries with technical details, urgency and next action.
Data extraction from PDFs and email
Pull useful fields from attachments, messages and documents, then move them into a review queue.
Light CRM or sheet updates
Synchronize statuses, leads, categories and notes with tools the company already uses.
Control dashboard
Show open requests, AI results, errors, approvals and improvement opportunities.
Concrete example
A realistic scenario showing the workflow shape and expected result.
Fictional example: technical requests by email
An industrial supplier receives 40 monthly requests with attachments and missing details. The prototype reads the message, extracts useful data, flags missing fields and prepares a reviewable summary.
Controlled output
Sales sees summary, sources, priority and a draft reply in a dashboard. Important replies pass through human confirmation.
Clear boundaries
The work stays practical: useful tools, understandable sources and visible responsibilities.
Chat only when it helps
If chat is useful, it is connected to sources, checks and clear next steps. Otherwise a simpler interface is better.
The website stays an interface
Pages and catalogs are useful when they help the underlying process and commercial path.
How the work runs
Few steps, clear responsibilities, written updates.
Workflow audit
Map one recurring process involving documents, catalogs, email, quote requests or internal tools.
Focused prototype
Build a small working system with clear sources, useful records and human review where needed.
Ready-to-use system
Turn the prototype into a stable working tool, with clear notes and support so it stays understandable.
Indicative investment
OfferBest forIncludesFrom
AI Workflow Audit
Map one recurring process and define a prototype scope.
- Workflow map
- Automation opportunities
- Risk estimate
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.