Requests are vague
Product, application, quantity, attachments, deadline or basic technical data are often missing.
Independent technical studio
AI automation for quote requests and technical leads.
Reduce emails to complete and manual follow-up. The system collects context, classifies the request, flags missing information and prepares a usable internal summary.
- Missing data
- Internal summaries
- Human approval
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.
Follow-up repeats itself
Sales asks the same questions before the request can be evaluated.
Priority is unclear
The team can see which requests are urgent, qualified or linked to strategic products.
What it includes
Guided intake
A form or email flow collects technical context, attachments, category and urgency.
AI classification
Product/service category, missing data, summary and preliminary priority.
Review dashboard
Request queue, status, AI output, approvals and next actions.
Concrete example
A realistic scenario showing the workflow shape and expected result.
Fictional example: quote request to complete
A customer sends a technical drawing, approximate quantity and deadline. The system classifies the product family, extracts attachments and flags missing data before the first follow-up.
Sales queue
The team sees request, priority, summary and draft email. The reply stays human, but starts from ordered data.
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 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.