Product design

AI-native product design.

Product design at Enspirit is decision architecture: who decides what, under which policy, at which step. We research, prototype, and ship the design system, and document every decision so it survives the next leadership change.

Components, screens, and the decision between themAn isometric drawing of two upright screens standing on a surface, with a small library of component tiles in front of them. One tile is missing, marked by a dashed outline, and a dashed line runs from the gap to the first screen, where that component sits selected with corner handles and redlines. On the floor beneath are three option tiles, two dashed and one solid with a tick. A flow line with an arrow leads to the second screen, which uses the same component.
425s to 127s
Deem booking time
19 to 54
Deem NPS
22
Industry awards for the Deem work
7 years
Deem design partnership

The problem we solve

Most enterprise software problems are not visual design problems. They are decision architecture problems. Multi-role workflows, policy-driven interfaces, and high-stakes environments where a bad interaction costs hours, not bounces.

We design for that. Our designers think like product owners, use AI across research synthesis and pattern detection, and ship every screen with a reason behind it. The decisions get documented so the next product leader does not unwind them.

What this includes

  • workflowsEnterprise workflows, multi-role interfaces, and user-facing experiences. AI-assisted analysis surfaces friction before users hit it.
  • researchQualitative and quantitative research that names the trust gaps and workflow breakdowns. AI compresses synthesis from weeks to days.
  • prototypesClickable prototypes for high-stakes flows, pressure-tested with real users before engineering starts.
  • design systemComponent libraries, token architectures, and documentation engineering actually uses.
  • accessibilityWCAG AA+ baked in from the first wireframe, with audits, remediation, and pattern documentation.
  • decision recordDecisions tracked and consistency audited so the next product leader does not unwind the work.

Design governance is powered by our own tool, Tenet.

Design retainer

A design team that stays on your roadmap.

Most of our design work is not a project. It is a small team of senior product designers working inside your product organization, month after month, on the roadmap you already have.

  • Two to five designers

    Small enough to move with your product managers, senior enough to own a workflow end to end. There is no minimum team size.

  • A monthly fee that flexes

    It grows or shrinks with your roadmap. Add a researcher for a discovery push, scale back after a launch.

  • Your system, kept healthy

    We extend and steward the design system your engineers build from, with every decision documented so it holds after people change.

Design partnerships

  • 7 years

    Deem

    Enterprise travel booking design, 22 industry awards, and Starship, an accessibility-focused, themeable design system that runs from native mobile to desktop.

  • Design system

    Fabletics

    One design system shared across Fabletics brands.

  • Web and mobile

    Encore

    A design system and a completely new design for their web app and mobile apps.

  • In progress

    Dr. Reddy’s

    A design engagement running now.

Two to five senior designers inside your product organization, on a monthly fee that grows or shrinks with your roadmap.

Talk about a design team

Questions

Common questions about product design.

Yes, and it is how most of our design work runs. A team of two to five senior product designers works inside your product organization on a monthly fee that grows or shrinks with your roadmap. There is no minimum team size. We have run design this way for Deem for seven years, including Starship, Deem's accessibility-focused, themeable, cross-platform design system, and built design systems for Fabletics and Encore.
About a quarter of Enspirit's 60 people are designers, led by our Director of Design. Designers and engineers have worked as one team since 2008, so the design you approve is built by people who were in the room when it was decided, without a handoff in between.
AI-native product design is product design where AI is built into the practice rather than added at the end. AI compresses research synthesis, surfaces friction in a flow before users hit it, and generates prototype variants in hours. The output is the same as good product design, a workflow that solves the real problem, reached faster and tested earlier.
UX design usually stops at the screen. AI-native product design covers the decision architecture behind the screen: multi-role workflows, policy-driven interfaces, and the trade-offs that make a high-stakes product usable. AI speeds the research and prototyping; judgment still decides what to build.
Both. We work with enterprise platform owners modernizing a product that has stopped scaling, and with Series A and B founders rebuilding core UX before a raise or a major customer. Examples include Deem on the enterprise side and Gritwell on the founder side.
A typical engagement covers research, workflow and interface design, a design system, and accessibility to WCAG AA+, with decisions documented so they hold after handoff. Project builds run 8 to 20 weeks; embedded design partnerships run longer. The first week is scoping, so the timeline is set before design begins.
AI product design

Designing something that has to work?

Tell us what you are building. We will show you how we would approach the design.