An AI platform built for enterprise strategy teams
Nimbus Intelligence is building a real-time decision intelligence platform — helping product companies validate ideas against live market signals before they build. An always-on intelligence engine for the modern enterprise.
I joined as a freelance UX designer working directly with the founding team. My mandate: take a genuinely powerful AI engine and make it usable for enterprise clients from the moment they sign up.
AI-powered market intelligence that fuses external signals with internal company data to guide product decisions in real time.
Enterprise teams across all levels — C-suite needing board-level insight through to product managers running day-to-day research workflows.
Enterprise clients at $50–200K/month need immediate value. A confusing onboarding or unconfigurable workflow is a churned account.
Embedded with founders — designing, iterating, and shipping in real time. No design team, no lengthy process. Fast, direct, high-trust collaboration.
Powerful infrastructure, zero usability
Nimbus had built something genuinely sophisticated — a perception engine processing millions of signals per minute, identifying threats, surfacing opportunities, and routing insights automatically.
The problem: none of that power was accessible to a non-technical enterprise buyer. Two distinct design challenges emerged.
Challenge 1 — Enterprise Onboarding
Clients needed to load their entire company context before seeing any value. Products, competitors, strategic priorities, roadmap — a massive data-entry problem that risked feeling like homework rather than a product.
Challenge 2 — Workflow Configuration
The intelligence engine ran on configurable AI pipelines. Powerful in theory — but presenting it as a technical interface would kill adoption with non-engineering buyers.
Rethinking enterprise onboarding
The key insight: don't ask enterprise clients to fill out forms — use AI to do the work for them, then let them validate. By scraping the company's website on arrival, Nimbus pre-fills the entire profile automatically. Users confirm rather than input.
A real-time "Context Quality" score in the sidebar made the AI visibly smarter with each step — turning setup into something that rewarded completion.
A workflow builder for non-engineers
The workflow builder needed to give enterprise users genuine control over complex AI pipelines — without requiring engineering knowledge. The answer: a node-based canvas with three distinct panels working together.
Each panel serves a different purpose. The component library lets users build pipelines without writing code. The settings panel configures workflow-level behavior. The component panel exposes per-node AI parameters in plain language.
The right settings panel is contextual — clicking any node on the canvas switches it from workflow-level settings to that component's specific configuration. Same panel, different context. No modal interruptions, no loss of orientation in the overall flow.
Four choices that defined the product
AI pre-fill, human validation
Instead of blank forms, AI populates fields from website analysis. Users confirm rather than create — dramatically reducing friction while keeping humans in control of accuracy.
Context Quality as live feedback
A real-time completion score showed users how inputs improved the system's intelligence — turning setup into something that visibly rewarded effort and made the AI feel responsive.
Confidence threshold as slider
Rather than raw probability values, AI parameters were surfaced as labeled sliders. Technical control made human-readable without dumbing it down.
Node status always visible
Every pipeline component shows live status, throughput, and accuracy. The AI's behavior is legible at a glance — essential for building enterprise trust in automated systems.
Infrastructure made human
Nimbus moved from a powerful but inaccessible AI engine to a product enterprise clients could configure, understand, and trust — without a technical onboarding call.
The onboarding flow eliminated manual data entry. The workflow builder gave non-engineering buyers genuine control over complex AI pipelines. Both shipped in tight collaboration with the founding team, iterating in real time.