AI software that feels natural to use
We design AI products that work the way people think. Through human-centered design and real-world testing, we help AI companies build trust, reduce friction, and turn complex technology into approachable experiences.
Our AI Case Studies
Making small-business legal help usable with AI
Turn a promising AI assistant into an experience that feels effortless and trustworthy from the first interaction.
Designed web and mobile flows, tightened onboarding to show value fast, and iterated with live usage data.
Clear, scalable product flows across devices; continued partnership on conversion and engagement improvements.
Shaping Indic-first AI experiences
Powerful multilingual models, no live interface — define where and how AI should show up for everyday Indian users.
Ran structured sprints across finance, health, e-commerce, and entertainment; prototyped multimodal patterns; created a decision framework for when to automate vs assist.
Prototypes across high-priority verticals, internal alignment on “what good looks like,” and a scalable language for future products.
Giving judges one-click access to law
Weeks-long document retrieval slowed hearings. Judges needed reliable, explainable AI assistance.
Deep field research with judges; designed trust-calibrated UI that distinguishes AI-generated vs extracted text; streamlined follow-up queries.
From ~6 weeks to ~6 seconds to find relevant law documents, with clear visual cues that build confidence.
The Problem We’re Solving
Your AI is powerful, but people aren’t adopting it
Low trust in AI recommendations
Users confused by opaque algorithms
Drop-off during onboarding
Fear of making mistakes with high-stakes tasks
Interfaces that feel intimidating rather than helpful
Lack of clear feedback or transparency on how decisions are made
How we make it better
We design AI software that feels human and builds trust
At Parallel, we specialize in making AI approachable without losing its power. By understanding how people think, decide, and trust, we design experiences where AI feels like a helpful partner, not a black box.
Make decisions explainable
Human-centered chat and voice designDeep dive into how your users actually work
Reduce fear and guide first-time users
Present predictions clearly and responsibly
Present predictions clearly and responsibly
Interfaces that promote safe and responsible usage
Our AI Design Process
Understanding AI capabilities and user concerns
- Stakeholder interviews
- User trust assessments
- Risk mapping for sensitive contexts
- Analytics and adoption audit
Deliverables:
Trust map, user personas, adoption barriers report
Turning AI into clear user flows
- Feature scoping and prioritization
- User journeys for human-AI interaction
- Wireframes for conversational flows
Deliverables:
Flow diagrams, clickable prototypes
Making AI interfaces approachable
- Visual design system with trust signals
- High-fidelity designs for AI dashboards and assistants
- Interaction models for human-AI collaboration
Deliverables:
Design system, UI assets, interaction specifications
Ensuring clarity and trust
- Usability testing with target audiences
- Trust and comprehension testing
- Iterative refinements based on real behavior
Deliverables:
Validation report, success metrics, launch-ready assets
AI-Specific Solutions We Provide
Guide users step by step into intelligent workflows
Build trust by showing reasoning behind AI outputs
Create natural interactions for chatbots and voice assistants
Keep users in control of AI-driven processes
Ensure safety, fairness, and clarity in decision-making tools
Turn complex predictions into actionable insights
Tools & Methods We Use
- ResearchUserTesting, Maze, Hotjar for behavioral validation
- DesignFigma, ProtoPie, Principle for interaction modeling
- TestingTrust assessment surveys, A/B experiments for transparency features
- AnalyticsAmplitude, Mixpanel, Google Analytics for adoption tracking
- Human-Centered AI DesignMaking technology serve human needs
- Jobs-to-be-Done (JTBD)Designing around real motivations
- Lean UXRapid prototyping and validation
- Ethical AI PrinciplesBuilding responsible and fair experiences
“Parallel was excellent in helping us bring our vision to life… We’re so grateful for their team.”
“Big thanks to Parallel and its designer-founder Robin. You’ve helped a govt team…”
“Finding designers who have the talent and drive to match a founder’s vision is rare… you want them on your shortlist.”
Why AI Companies Choose Parallel
We’ve worked across AI health, finance, education, and enterprise applications.
We design for adoption by tackling the trust gap between humans and AI.
Our AI clients see:
- 2–4x increase in adoption rates
- 40–60% reduction in onboarding drop-off
- Major boosts in user trust and satisfaction
From early prototypes to post-launch optimization, we stay involved to ensure adoption sticks.
FAQs
