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AI-Driven Storytelling Platform
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AI Product Design and AI UX Services
Design AI chat, agent and copilot features that people trust and actually use.
Stack we work in
- Figma
- React
- Next.js
- LangGraph
- ElevenLabs
- Miro
- Projects delivered
- 680+
- Clients served
- 310+
- Client retention
- 98%
- Certified engineers
- 20+
- Building since
- 2018
Figures as of Oct 2026
Trusted by
- Aralia
- Rosa Pistrina
- Lashbo
- Micromunchi
- Payroll Ninja
- POD
- Petdx
- Yokey
- Spin Up
- Starwear
- Udlins
- Vegpal
- Wander Wings
- Wish It
- Wisl
Problems we are usually asked to fix
Adding AI to a product is easy to demo and hard to get right.
Read the full overview
Users need to know what the AI can do, when to trust its answers, how to correct it and what happens when it is wrong. We design AI features end to end: chat assistants, copilots inside your existing app, and agents that take actions on a user's behalf. We work out where AI helps, design the conversation and the screens around it, plan for errors and human review, and test with real users before your team builds it.
A chatbot nobody uses
A chat box was added to the product, but users do not know what to ask it, so usage drops after launch.
Users do not trust the answers
There are no sources, no confidence cues and no easy way to check, so people redo the work by hand.
Agents that act without asking
An AI that sends, books or changes things with no review step makes users and compliance teams nervous.
Errors that look like bugs
Timeouts, refusals and wrong answers show as blank screens or generic messages.
Great demo, poor product
The prototype impressed in a meeting but was never tested with the people who will use it every day.
Outcomes
What you get
- AI features users understand, trust and come back to
- Clear handling of mistakes, so one bad answer does not lose a customer
- Human review where it matters, without slowing every task
- Concepts tested with users before engineering time is spent
- Designs your developers can build, with all states covered
- Feedback signals built in, so the AI can be measured and improved
What we deliver
What you receive
Opportunity map
Where AI helps users most, with value and risk for each idea.
Flows and screens
Conversation flows and Figma designs covering every state, including failures.
Prototype
Clickable or model-backed prototype used for testing.
Test findings
What users understood, trusted and struggled with, and what changed as a result.
AI UX guidelines
Rules for tone, citations, errors, approvals and feedback your team can reuse.
AI opportunity and concept
Put AI where it helps users and the business.
- Workshops to find tasks where AI saves time or improves results
- Choosing the right pattern: chat, inline copilot, background agent or smart defaults
- Concept screens and storyboards to align stakeholders
- Feasibility check with our AI engineers on models, data and cost
Conversation and copilot design
Interfaces built around how AI behaves.
- Chat and assistant flows, prompts, suggested actions and follow-ups
- Inline copilots: AI suggestions inside forms, editors and dashboards
- Streaming responses, citations and source previews
- Voice and multimodal input where it makes sense
- Tone of voice and system persona guidelines
Agent experiences
Let AI act, while users stay in charge.
- Task plans users can review before the agent runs
- Progress, status and activity logs for long-running work
- Approval steps for actions that spend money, send messages or change data
- Undo, retry and hand-back-to-human controls
Trust, errors and safety
Design for when the AI is wrong.
- Confidence cues, citations and "why am I seeing this" explanations
- Error, refusal, timeout and low-confidence states
- Feedback controls that feed evaluation and improvement
- Human-in-the-loop review queues for sensitive outputs
- Privacy notices and clear consent for data use
Prototyping and testing
Test the real experience, not a mock-up of it.
- Clickable Figma and ProtoPie prototypes
- Working prototypes on real models (Claude, GPT or Gemini) for realistic responses
- Usability tests focused on trust, understanding and task success
- Design specs and Storybook-ready components for your developers
Built with
- Figma
- ProtoPie
- Storybook
Why teams choose Equitysoft for AI product design
Since 2018 we have delivered 680+ projects for 310+ clients, and 98% of clients keep working with us.
Designers who work with AI engineers
Our designers sit with the engineers who build AI features, so designs match what models can do.
Prototypes with real models
We prototype with real model output, so you test real answers and mistakes, not ideal ones.
Designed for trust and errors
We design for wrong answers, human review and clear limits from the start.
Fixed-price start
Start with a fixed-price design engagement and a clear handover to the build team.
Recent work from our team
AI Video Analytics CCTV Intelligence Development
Building a Print-on-Demand Shopify Integration Platform
Building a Real-Time Sports Data & Community Intelligence Platform
BallWatch – Football Academy Scouting and Recruitment App
BullsAI – AI Market and Talent Intelligence Platform
CyberGuardianX – Cloud Security and Fraud Recovery Website
How we work
Discover
We map user tasks, current pain points and business goals, and list where AI could help.
You receive Opportunity map
Define
We pick the right AI pattern for each use case and agree what good looks like, including failure cases.
You receive Concept and success criteria
Design
We design conversation flows, screens and every state: loading, streaming, errors, refusals and approvals.
You receive Figma designs and flow maps
Prototype
We build a clickable or model-backed prototype so tests feel like the real thing.
You receive Working prototype
Test
We test with real users and refine the design based on what confuses or worries them.
You receive Test findings and revised design
Hand over
We deliver specs, components and evaluation ideas to your team, or our engineers build it.
You receive Build-ready design package
Tech stack
Technologies we use
AI and machine learning
BI and analytics
Frontend
Cloud and DevOps
Other tools
Engagement
Ways to work with us
AI concept sprint
Pick the right AI pattern and test a prototype with users in 2 to 3 weeks.
- Fixed price
- Go or no-go result
Design and build
Our designers and AI engineers design, build and launch the feature together.
- One team
- Evaluation built in
Embedded AI designer
A designer working inside your product team on AI features.
- Full or part time
- Works in your tools
Questions, answered
It is designing the parts of a product that use AI, so people can use them confidently. That covers when the AI appears, how users ask for things, how answers and actions are shown, how users check or correct the AI, and what happens when it fails.
Normal features give the same result every time. AI gives answers that vary, can be wrong and can take time to generate. That means extra design work for streaming, uncertainty, citations, errors, approvals and feedback, which most standard UI kits do not cover.
It depends on the number of AI features, whether you need a working model-backed prototype, and how much user testing is included. As a guide, a concept and tested prototype for one AI feature usually costs $8,000 to $25,000, and full design for an AI product or several copilot and agent features $25,000 to $80,000 or more (USD).
Not always. Chat suits open-ended questions and support. Many tasks work better as an inline copilot, such as a suggest button inside a form, or as a background agent that reports back. We help you choose based on the user task, not the trend.
We plan for them from the start: show sources and confidence where possible, let users edit or regenerate, add approval steps before risky actions, show clear error and refusal messages, and offer a route to a human. We also design feedback controls so mistakes are captured and fixed.
It means a person reviews or approves AI output at the right points, for example before an agent sends an email, issues a refund or publishes content. We design review queues, approval prompts and audit trails that keep people in control without making them check everything.
Yes. As well as Figma prototypes, we can build a light working prototype on models such as Claude, GPT or Gemini. Testing with real responses shows how users react to the AI's actual tone, speed and mistakes.
Yes. Our AI engineers build chatbots, copilots and agents, including retrieval, tool use, evaluation and monitoring. Design and engineering working together avoids designs that the model cannot deliver.
We design clear notices on what data the AI uses, consent where needed, controls to remove data and options to opt out. On the engineering side we can keep data in your cloud and limit what is sent to model providers.
A concept and prototype usually takes a few weeks. Larger products are designed in stages alongside the build.
We start with a short discovery call under NDA if you need one. Send us your idea, any designs or documents, and the systems the work must connect to. We then share a written scope, timeline and estimate before any build work starts.
You do. Figma files, prototypes and research are yours, and we work under NDA.
More about our AI Product Design
AI experiences we design
Support and sales assistants
Chat assistants that answer from your content, cite sources and hand over to a person.
Learn moreIn-app copilots
Suggestions, drafting and summaries inside the screens people already use.
Task agents
Agents that plan and carry out multi-step work with approvals and logs.
Learn moreVoice agents
Spoken assistants for calls and bookings, with clear turn-taking and escalation.
Learn moreAI search and discovery
Natural language search with filters, previews and explanations of results.
Adding AI to your product?
Book a call. We will look at your use case and suggest the AI pattern, design scope and next steps.