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AI Product Design

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Services

AI Product Design

AI Product Design Agency

We design AI product workflows that help people understand an answer, review it, correct it, and know what to do when the system falls short.

We design AI product workflows that help people understand an answer, review it, correct it, and know what to do when the system falls short.

Abstract AI product workflow with model output, source cards, human review, and approval states
Abstract AI product workflow with model output, source cards, human review, and approval states

The model is only one part of the product.

People still need to judge an answer, see what informed it, change it when it is wrong, and recover when the system cannot help. We map those decisions and design the surrounding interface so responsibility stays with the right person.

Plexable concept showing a human reviewing an AI-suggested wellness plan before approval

What you get

AI Workflow Mapping

Source Visibility

Uncertainty States

Human Review Flows

Correction and Override

Fallback and Recovery

Failure and Empty States

Responsive Interface Design

Interactive Prototypes

Developer-Ready Handoff

Output people can inspect

We decide what the interface should reveal about sources, context, and uncertainty before it asks someone to act.

Human review where it matters

Review, correction, approval, and override paths make responsibility visible instead of hiding it behind the model.

A way forward when AI falls short

We design retry, fallback, escalation, and recovery states for moments when the system is wrong, incomplete, or unavailable.

How it works

AI Product Design Process

Discovery
Architecture
Design
Validation

AI Product Design Process

Discovery
Architecture
Design
Validation

AI Product Design Process

Discovery
Architecture
Design
Validation

1. Discovery

We learn who will use the feature, what decision it supports, what the model can and cannot do, and where a person must stay in control.

2. Architecture

We map the answer, source, review, correction, fallback, and failure paths before styling the interface.

3. Design

We create responsive screens and realistic prototypes for the critical states, including where users edit, approve, retry, or leave the AI path.

4. Validation

We review whether people understand the output and know what to do next, then document the interaction rules and edge cases for implementation.

Related Product Work

See how Revel Street structures a complex discovery and request journey.

Revel Street

Published Plexable work covering venue discovery and request flows. It is related product work, not an AI case study.

Revel Street venue request workflow across desktop product screens

Venue Marketplace

Venue Marketplace

Product Context

Product Context

Discovery Platform

Discovery Platform

Project Type

Project Type

Published Case

Published Case

Evidence

Evidence

Search & Filters

Search & Filters

Workflow

Workflow

Maps & Cards

Maps & Cards

Workflow

Workflow

Request Flow

Request Flow

Workflow

Workflow

People need to understand an AI workflow before they rely on it

  • Visible
    Sources

    Show what informed the output

    Give people the source and context they need to judge an answer before acting.

  • Honest
    Uncertainty

    Say when the system is unsure

    Use distinct states and plain language when an answer is incomplete, approximate, or needs review.

  • Human
    Review

    Put approval in the right hands

    Place review, edits, and override decisions with the person responsible for the outcome.

  • Useful
    Recovery

    Give errors somewhere to go

    Offer correction, retry, escalation, or a non-AI route when the system cannot complete the task.

  • Aligned
    Handoff

    Give the team one interaction model

    Document screens, states, content rules, and edge cases for product and engineering.

AI product design for workflows that need human judgment

Since 2008, trusted for product and experience design.

STC Logo

STC

,

Speedi Logo

Speedi

,

Motori Logo

Motory

,

POSRocket logo

POSRocket

,

Telenav

Moktiv Logo

Moktiv

,

GIANT Protocol logo

Giant

,

VIBES

VIBES

Vibes

,

And many more growing teams.

What clients say about working with Plexable

ClientsdescribewhatitisliketoworkwithPlexable.
FAQ
FAQ
FAQ

Frequently Asked Questions

  • It can include workflow mapping, source visibility, uncertainty states, human review, correction, fallback, failure paths, responsive UI, prototypes, validation, and developer-ready specifications. The scope depends on what the system does, the decision it supports, and the cost of getting it wrong.

  • SaaS Product Design covers the wider product structure, including workflows, information architecture, dashboards, onboarding, and design systems. AI Product Design focuses on interactions shaped by model output: what people see, review, change, approve, and do when the model cannot help.

  • Yes, as a product-design scope. We define where human review sits in the journey and design approval, correction, override, escalation, and recovery states. Your engineering and domain specialists remain responsible for the model, data, and technical implementation.

  • No. This service covers product strategy, UX, UI, prototyping, validation, and handoff. Model development, data pipelines, technical evaluation, security testing, and compliance need a separate specialist scope.

  • Yes. We can review the current workflow, find where the output or next step is hard to understand, and redesign the highest-priority states without requiring a complete product redesign.

  • The handoff can include workflow maps, responsive screens, state rules, interaction notes, content guidance, error and recovery behavior, edge cases, realistic prototypes, and implementation-ready specifications.

  • It can include workflow mapping, source visibility, uncertainty states, human review, correction, fallback, failure paths, responsive UI, prototypes, validation, and developer-ready specifications. The scope depends on what the system does, the decision it supports, and the cost of getting it wrong.

  • SaaS Product Design covers the wider product structure, including workflows, information architecture, dashboards, onboarding, and design systems. AI Product Design focuses on interactions shaped by model output: what people see, review, change, approve, and do when the model cannot help.

  • Yes, as a product-design scope. We define where human review sits in the journey and design approval, correction, override, escalation, and recovery states. Your engineering and domain specialists remain responsible for the model, data, and technical implementation.

  • No. This service covers product strategy, UX, UI, prototyping, validation, and handoff. Model development, data pipelines, technical evaluation, security testing, and compliance need a separate specialist scope.

  • Yes. We can review the current workflow, find where the output or next step is hard to understand, and redesign the highest-priority states without requiring a complete product redesign.

  • The handoff can include workflow maps, responsive screens, state rules, interaction notes, content guidance, error and recovery behavior, edge cases, realistic prototypes, and implementation-ready specifications.

  • It can include workflow mapping, source visibility, uncertainty states, human review, correction, fallback, failure paths, responsive UI, prototypes, validation, and developer-ready specifications. The scope depends on what the system does, the decision it supports, and the cost of getting it wrong.

  • SaaS Product Design covers the wider product structure, including workflows, information architecture, dashboards, onboarding, and design systems. AI Product Design focuses on interactions shaped by model output: what people see, review, change, approve, and do when the model cannot help.

  • Yes, as a product-design scope. We define where human review sits in the journey and design approval, correction, override, escalation, and recovery states. Your engineering and domain specialists remain responsible for the model, data, and technical implementation.

  • No. This service covers product strategy, UX, UI, prototyping, validation, and handoff. Model development, data pipelines, technical evaluation, security testing, and compliance need a separate specialist scope.

  • Yes. We can review the current workflow, find where the output or next step is hard to understand, and redesign the highest-priority states without requiring a complete product redesign.

  • The handoff can include workflow maps, responsive screens, state rules, interaction notes, content guidance, error and recovery behavior, edge cases, realistic prototypes, and implementation-ready specifications.

Design an AI workflow people can review and control.

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Contact

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you’re building.

By submitting, you acknowledge our Privacy Policy and ask Plexable to respond. Your use of this website is governed by our Terms of Use.

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you’re building.

By submitting, you acknowledge our Privacy Policy and ask Plexable to respond. Your use of this website is governed by our Terms of Use.