ai, logistics
AI agent UI design that makes logistics automation feel human
This AI agent UI design reimagined logistics automation through a conversational interface, turning technical processes into intuitive interactions that anyone can control.
Design-Focused AI Strategy Consulting Services
Deciding to add AI is easy. Turning it into a useful product experience is harder. These three challenges often prevent promising AI ideas from creating real value for users and the business.
The 'ask AI' button
You’re under pressure to add AI, so a chatbot is placed on top of the existing interface. Without a validated AI use case, it fragments the user journey, breaks design consistency, and adds little value.
The AI 'science project'
Your team has built an impressive model, but it remains disconnected from real user workflows. Without a clear product strategy, its capabilities stay in a demo instead of becoming an AI-powered feature that supports adoption, retention, or revenue.
The AI FOMO roadmap
Your roadmap reacts to competitor moves instead of user and business needs. Without clear priorities, supporting data, and success metrics, teams struggle to decide which AI opportunities deserve investment and how they could contribute to ROI.
our offer .
AI Strategy and Consulting Services Include
AI Opportunity Mapping
Our AI strategy consulting services examine your product, user journeys, business goals, and available data to identify where AI can create meaningful value. You receive a focused opportunity map based on real product needs.
Use Case Prioritization
As part of our AI strategy and consulting services, we assess each AI use case against user value, business impact, technical feasibility, risk, and potential ROI. The resulting roadmap shows what to prototype, validate, or defer.
User Research
We explore how users understand AI, what they expect from it, and where trust may break down. These insights shape clear requirements for transparency, control, feedback, and explainable AI.
AI User Journey Design
We map how users discover, activate, use, review, and control AI-powered features across the product. The journey accounts for variable outputs, edge cases, and moments when human input is required.
Interaction Design
We define how users work with AI through prompts, recommendations, conversational interfaces, automated processes, or agentic workflows. Every interaction is designed to make complex capabilities clear, predictable, and useful.
Case studies.
Case Studies
Explore selected projects where Cieden helped product teams turn complex AI capabilities into clear, intuitive product experiences across logistics, sales intelligence, wealth management, and behavioral analysis.
Sales intelligence
Hyper-personalized AI messaging
Hush... this is our ongoing project protected by the NDA, so we cannot share more details with you. Just be sure that our collaboration enabled us to maximize the potential of AI and deliver exceptional product design. We will definitely tell you more, you just have to wait a bit longer.
ai
Wealth management platform
Used Al-driven prototyping to validate business logic and speed up delivery for a multi-role wealth-management platform, turning high-stakes decisions into testable steps before release.
Desktop lie detector software
AI-driven sentiment analysis
An innovative company specializing in human behavior analysis and screenings sought Cieden's expertise to enhance their product. While their platform was groundbreaking, it lacked user-friendliness, with multiple desktop applications complicating the interface. We collaborated with our client to merge these applications into a singular, intuitive platform, expanding its functionality and introducing a standout feature: AI-driven sentiment analysis.
Clients’ Testimonials.
Bruce Yang
Head of Product at Way2B1
Vlad Shlosberg
CEO at Foqal
Marcelo Fujimoto
Co-founder & CEO at Tandom
For over three years, the Cieden team has been a reliable partner in our global environment, consistently helping us move the needle on key initiatives.
Rob Reinhardt
Senior Manager, Product Design at Apollo.io
They have a great sense of UX. They understand not only the business requirements of a product but also its creative vision.
Simran Butalia
VP Engineering at BeBop Technology
Mitchell Nick
Co-founder of RevvedUp
Lina Forcier
CEO & Co-Founder at Factually Health
Annie Do
Lead of Health Initiatives at Factually Health
The new design has contributed to a significant increase in conversions. The team is creative, helpful, and highly motivated, qualities that have led to an expanded role.
Nader Amiri
Founder of el Grocer
Their ability to work quickly and follow instructions is impressive. Following an effective workflow, Cieden meets deadlines and produces satisfying deliverables.
Michael Segal
CEO of Skylight
Lukasz Siemaszko
Head of Digital Product at Lykon
Victoria George
VP of Product at Kairos
Stéphane Zanoni
Chief Technology Officer at MeetKairos
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FAQs About Working With an AI Design Strategy Consultant
What are AI strategy consulting services?
AI strategy consulting services help product teams determine where AI can create meaningful user and business value. They connect product goals, user needs, data readiness, and technical feasibility in a practical roadmap rather than a collection of disconnected AI ideas.
When does a company need AI strategy and consulting services?
A company may need AI strategy and consulting services when it has promising ideas but lacks clear priorities, validated use cases, or an integration plan. This applies to startups exploring an initial AI feature and enterprises improving existing AI-powered workflows.
How can AI improve our product’s user experience?
AI can reduce repetitive work, surface relevant recommendations, personalize experiences, and help users make complex decisions faster. Clear controls, understandable outputs, and thoughtful failure states are still essential for building trust and keeping users in control.
How do you identify the right AI opportunities for a product?
We review the product, user journeys, business goals, pain points, and available data. Each AI use case is then assessed for user value, business impact, technical feasibility, risk, and potential ROI before being added to the roadmap.
What do your AI strategy consulting solutions include?
Our AI strategy consulting solutions can include opportunity mapping, use case prioritization, user research, AI user journey design, interaction design, and readiness assessment. The exact scope depends on the product, team capabilities, and decisions that require supporting data.
Do you provide AI strategy consulting specifically for UI/UX design?
Yes. Cieden takes a design-focused approach that connects AI capabilities with user needs, product workflows, and business goals. We define how users discover, understand, activate, and control AI features across web, mobile, and enterprise products.
What are intelligent interface strategy consulting services?
Intelligent interface strategy consulting services define how people interact with AI-powered systems through prompts, recommendations, conversational interfaces, or automated workflows. The goal is to make complex capabilities and variable outputs understandable, predictable, and useful within existing user workflows.
Can you help us validate an AI feature before development?
Yes. We can turn a high-risk hypothesis into a testable prototype or PoC before full development begins. Cieden’s AI prototyping and PoC services help evaluate user behavior, technical feasibility, model outputs, and edge cases before a larger investment.
Can Cieden work with our existing product and development teams?
Yes. Cieden can work alongside existing product, design, engineering, and data teams, providing focused strategy and UX expertise where needed. Recommendations and design artifacts support shared decisions and the next stage of product delivery.
What do we receive at the end of an AI strategy consulting project?
Deliverables depend on the engagement but may include a prioritized opportunity map, evaluated use cases, user journey recommendations, interaction concepts, success metrics, and an actionable roadmap. These outputs clarify what to pursue, validate, defer, or avoid.
How long does an AI strategy consulting engagement take?
The timeline depends on product complexity, research needs, the number of AI use cases, and the depth of validation required. The scope, deliverables, and schedule should therefore be defined around the specific decisions your team needs to make.