Custom AI Design

Custom AI application design.
Make review part of the experience.

Design application experiences and model workflows around specific users, from NLP and computer vision to generative AI and professional-review interfaces.

Approved sources support a grounded answer, with sources visible and actions requiring approval.
Generative AI / grounded in your informationConcept illustration
A focused engagement

Design what people do with the result.

An AI application needs more than a prompt box. Users need to understand the task, inspect relevant evidence, correct errors, and know when a person must take over. We connect interface design to information access, model behavior, and the workflow around the application.

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A defined engagement

What the work can include

  • User journeys and application requirements
  • Interface or model-workflow prototype
  • Evaluation and human-review interaction design
  • Implementation scope and architecture outline
Discuss the scope
What the work involves

Define the task.
Make the choices visible.

Journeys and decision points

Map the user's goal, the information they can access, the steps they take, and where a result must be checked. Include exceptional cases and the people who will support the application.

Interfaces for uncertain outputs

Design source references, review queues, correction paths, empty states, and escalation. Make consequential actions explicit and distinguish a draft or suggestion from an approved business record.

A prototype engineering can assess

Pair interface concepts with data flows, evaluation tasks, permissions, and integration assumptions. Review those together so the design and implementation scope describe the same experience.

A practical starting point

One scope you can review.

Choose one user journey, such as a staff member reviewing extracted document fields. A first design engagement can produce a workflow map, clickable interface prototype, key error and review states, and an engineering brief with unresolved assumptions.

How to evaluate the work

Agree what useful means.

Ask representative users to complete realistic tasks, identify the source of an answer, correct a mistaken result, and recover from an unavailable service. Record where they misunderstand the interface or cannot complete the workflow.

Let's build something useful

Big idea. Complex challenge.
Let's find your next step.

Start a conversation about your application, AI opportunity, or cloud environment.

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