← Selected workPRODUCT / UX/UI
AI Workflow Automation

From messages to
operational workflows

Product direction, UX and UI for an AI-assisted workspace that turns incoming requests into quotes, orders and operational tasks.

Design lead
Lorenzo Rogante
Design scope
Product direction · Interaction design · UI design
Collaboration
Management and development team
Designed for
Teams handling customer requests and operations
CONTEXT

The initial concept centred on an intelligent email client. The design direction shifted towards the work created by each message: its requirements, progress, exceptions and handover between people.

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Key decisions

  1. Work beyond the inbox

    Requests become connected workflows, preserving the source message as the work progresses.

  2. Phase and status

    A quote can be ready, blocked or awaiting a reply. Its stage and condition need separate signals.

  3. Specific human input

    Missing information opens a focused intervention rather than making the team repeat the entire task.

01 / DESIGN DECISION

Keep the source beside the extracted data

The source message sits beside the information extracted from it. This arrangement supports checking an interpretation and supplying a missing value without reconstructing the conversation elsewhere.

WF-2041 / 2,400 PRINTED SLEEVES

From message to work

RequestQuoteOrderProduction

Known: quantity, format, delivery · Missing: paper weight

Reconstructed interface · Synthetic data
02 / DESIGN DECISION

Separate progress from operational status

Request, Quote, Order and Production describe the stage of the work. Status explains its condition within that stage. Keeping these signals separate distinguishes a quote awaiting input from one awaiting a customer reply.

WF-2041 / 2,400 PRINTED SLEEVES

One connected workflow

RequestQuoteOrderProduction

Known: quantity, format, delivery · Missing: paper weight

Reconstructed interface · Synthetic data
03 / DESIGN DECISION

Explain why a workflow is blocked

A missing paper specification keeps the example request in Quote while complete work progresses. The board makes the exception visible without suggesting that all activity has stopped.

WF-2041 / 2,400 PRINTED SLEEVES

Paper weight is missing

RequestQuoteOrderProduction

Known: quantity, format, delivery · Missing: paper weight

Reconstructed interface · Synthetic data
04 / DESIGN DECISION

Ask for the missing value in context

The detail combines the message, extracted fields and missing paper weight. The intervention is limited to the information needed to continue, with the original request available for reference.

WF-2041 / 2,400 PRINTED SLEEVES

The right input, in context

RequestQuoteOrderProduction

Known: quantity, format, delivery · Missing: paper weight

Reconstructed interface · Synthetic data
05 / DESIGN DECISION

Define the boundaries of automation

Confirmed steps and more automated processing share explicit intervention points. Missing information and consequential actions remain visible; in this scenario, a customer reply is required before the quote becomes an order.

WF-2041 / 2,400 PRINTED SLEEVES

Review before advancing

RequestQuoteOrderProduction

300 gsm confirmed · Review and customer confirmation remain explicit

Reconstructed interface · Synthetic data
06 / DESIGN DECISION

Carry the request history into production

The message, specifications and decisions remain connected as the confirmed order moves to production. The handover preserves the context needed by the next person, rather than creating an isolated task.

WF-2041 / 2,400 PRINTED SLEEVES

Ready for production

RequestQuoteOrderProduction

300 gsm confirmed · Review and customer confirmation remain explicit

Reconstructed interface · Synthetic data
DELIVERY & PRESENTATION

Phase and status answer different questions

This case study presents professional product design work. Interfaces have been recreated for the portfolio using synthetic records and generic names. Interactive sequences illustrate design decisions rather than record the original application. The figures are examples, not measured project outcomes.