RFQ intake and triage
Collect quotation requirements and attachments in a structured interface, classify the request and assign a responsible owner.
Teams can assess what is present and what still needs clarification.
Keep information moving with the work.
Connect quotation requests, documents, approvals and operational knowledge with custom tools and practical AI support for your manufacturing team.
A clearer way
to move forward.
An RFQ can cross sales, engineering, purchasing and operations before anyone has a complete answer. Email attachments and disconnected spreadsheets make ownership, versions and delays hard to see.
Clearer RFQ and approval ownershipLess repeated document handlingBetter operational visibility
Modernization that fits
your everyday work.
Choose the opportunities that matter to your organization. Each can begin as a clearly scoped project and connect to a wider roadmap.
Document intelligence
Extract agreed fields from suitable business documents and present them alongside the source for checking.
People can review prepared information rather than retyping every field.
Approval workflows
Model review stages, responsibilities and escalation rules for quotes, change requests or internal approvals.
The next action and the reason for a delay become more visible.
Operational dashboards
Combine accessible business data into focused views for work queues, request status and operational exceptions.
Managers can identify bottlenecks without assembling each report by hand.
Staff knowledge assistants
Help staff retrieve approved procedures, product information and internal knowledge, with source references where appropriate.
Teams spend less time searching and can identify the document behind an answer.
Business system integration
Assess ERP, CRM, database and supplier-system access before defining a reliable exchange of information.
The solution connects supported business workflows without casually changing production controls.
From RFQ arrival to a reviewed commercial response
A practical example of how the process could work. The final steps are shaped around your people, tools and rules.
- 01
Receive
Capture the request and source documents in one record.
- 02
Prepare
Extract candidate fields and flag missing requirements.
- 03
Review
Route the information to the designated commercial or technical reviewer.
- 04
Approve
Record the approval and prepare the response.
- 05
Track
Monitor turnaround, ownership and unresolved exceptions.
- 01
An RFQ arrives with attachments
- 02
Someone copies fields into a spreadsheet
- 03
Reviewers exchange versions by email
- 04
Sales chases progress before responding
People stay in control.
Technical feasibility, safety-related decisions, pricing and production changes require the designated reviewers. Automation does not bypass established approvals or control equipment.
Custom software.
AI with a clear purpose.
A reliable interface, a useful assistant and the right workflow can work together. We define the role of each before implementation.
The software foundation
- Customer and staff portals
- Role-based dashboards and reporting
- Business rules, approvals and audit history
- Connections to the systems you already use
The AI support layer
- Answers grounded in approved knowledge
- Classification, extraction and first drafts
- Confidence checks and human escalation
- Review of real examples before wider rollout
Start with something
worth improving.
Start with the commercial RFQ journey or one document approval process. Establish a measurable baseline before connecting broader business systems.
Measure the work that matters.
Agree a baseline and practical acceptance criteria before rollout. Useful signals for this journey include:
- RFQ review turnaround
- Repeated entry and document rework
- Requests waiting without an owner
A clear scope. A shared path.
Discover
Map the users, current systems, friction and desired outcome.
Shape
Agree deliverables, integrations, access, responsibilities and milestones.
Implement
Build and test the workflow, including exceptions and user review.
Improve
Support handover, review feedback and define any further work.
Questions before
the next step?
Can you work with the systems we already use?+
We assess available APIs, permissions, records and the operating process before proposing a connection. The aim is to preserve useful existing systems where practical. Unsupported access or platform limits may change the scope.
How do you handle data and AI oversight?+
We agree source-document access, commercial confidentiality, permitted AI providers and the boundary between business software and production systems.
Can we begin with one small project?+
Yes. A focused first workflow can establish technical feasibility and practical usefulness before a broader rollout. Start with the commercial RFQ journey or one document approval process. Establish a measurable baseline before connecting broader business systems.
What determines the cost and timeline?+
The scope depends on users, interfaces, integration access, data, rules, review requirements and support. We define deliverables, responsibilities, external costs, milestones and payment terms in a written proposal before implementation.
Make complexity
work for your business.
Bring the workflow. We’ll help shape a practical way forward.
Use cases and workflows are illustrative. Images are AI-generated brand illustrations, rather than photographs of identified Mendzys clients or employees.