Augment
Services · AI Experiences

Make intelligence feel like part of the product.

We help you find where AI can genuinely improve the product, then design and test an experience people can understand, trust, and use.

What we build

Start with the need, not with the model.

We look at the work your users are trying to do, the data and systems available, and the places where intelligence could save time or improve a decision. Sometimes that's an assistant. Often it's not.

01

Product Copilots & Assistants

Chat-first or embedded assistants that help users inside your product, not just a marketing-site widget.

02

AI-Powered Prototypes

Clickable, presentation-ready AI concepts for fundraising, sales, or internal buy-in before engineering commits.

03

Generative & Personalized Interfaces

UI that adapts its content, layout, or recommendations per user, powered by a model instead of hardcoded rules.

04

Workflow Automations

Internal tools that remove repetitive work from your team's day, wired into the tools you already use.

05

AI Onboarding & Docs Experiences

Interactive walkthroughs that explain a complex AI feature in plain language, not a changelog entry.

06

Model Evaluation & Prompt Systems

The scaffolding, prompts, evals, guardrails, that keeps an AI feature reliable after launch, not just impressive in a demo.

How we build it

Explore safely. Invest when it works.

We assess the opportunity, prototype the interaction, and test the riskiest assumptions before a full implementation. You get evidence, not just a polished AI demo.

Week 1 · Discovery

Structure

Which workflows are painful enough to automate, which decisions a model can actually make well, and where a human still needs the final call.

  • Workflow and use-case audit
  • Model and interaction feasibility check
  • Scoped feature spec
Week 1 · Direction

Direction

A working prototype of the interaction, how it looks, what it says, how it fails gracefully, before a single line of production code.

  • Conversation and interaction design
  • Clickable AI prototype
  • Failure-state and fallback design
Week 2 · Build

Build

A production-ready feature wired into your product, or a standalone tool your team runs from day one.

  • Model integration and evaluation harness
  • Guardrails and abuse handling
  • Handover docs your engineers can run with
What's included

Built to demo well. Built to hold up after.

No mystery line items, no feature that only works in the pitch deck. Everything below ships as part of the sprint.

Design

  • Conversation and interaction design for AI features. A chatbot that just answers isn't a product. We design the moments it needs to ask, confirm, or say no.
  • Prompt and response design. The words a model uses shape trust more than the model itself does.
  • Failure-state and fallback design. What happens when the model is wrong, slow, or unsure, designed, not left to a generic error message.
  • Interactive prototype for stakeholder buy-in. Something you can put in front of a board or investor that behaves like the real thing.

Build

  • Integration with your model provider of choice. We build on what you're already using, Claude, GPT, or your own, not what we'd rather sell you.
  • Evaluation harness so the feature stays reliable after launch. Demos are easy. Staying accurate in production is the actual work.
  • Guardrails, rate limits, and basic abuse handling. The unglamorous plumbing that keeps an AI feature from embarrassing you.
  • Handover docs your engineering team can run with. We're not the ones on call at 2am, so we make sure someone else can be.

Explore more product design solutions we offer

FAQ/ 06

Before you
book a call.

Short, honest answers — and if we missed one, our team would love to chat.

Ready to make AI part of the product?

Let's find where it actually helps.

Book a call and we'll tell you honestly what it'll take.

AI Experiences | Augment