PitchHub

Google’s sales enablement team creates hundreds of MVPs each quarter, demonstrating how Vertex AI integrates with diverse applications. As consultants, we ran a pilot project to prove we could take over this process—delivering scalable MVP development for Google.

Client

Google (Vertex AI – Sales Enablement Team)

Date

Jan 2025

Industry

AI & Cloud Computing

Scope of work

Saas

Product Design

No-code

Validating Manufacturing Diagrams for Airbus.

One of the key use cases to showcase Vertex AI’s real impact was with Airbus. We applied AI to streamline the validation of complex, legacy manufacturing diagrams. The system cross-referenced each diagram with the bill of materials and part data, automatically completing missing details. When gaps couldn’t be resolved, the AI clearly highlighted them on both the diagram and validation tables, ensuring accuracy, efficiency, and production readiness.

My Process

The new digital platform achieved a significant uplift in user engagement, as evidenced by longer session durations and increased social media interaction. The innovative approach enhanced the client’s market presence and directly contributed to improved conversion rates, solidifying their reputation as an industry leader.

Requirement Analysis

Reviewed requirement docs to understand goals, users, and constraints.

Storyboard Validation

Created and showcased storyboards to align on user flow and demo expectations

Prototype Design

Designed interactive prototypes and collaborated with developers to build in FlutterFlow

Final Review & Sign-off

Conducted final walkthrough with stakeholders and incorporated feedback.

Story Board

The storyboard was carefully designed to map out each step of the user’s actions alongside the corresponding generative AI responses. At every stage, we outlined what the user would do and how the AI would assist—whether by validating data, completing missing parts, or highlighting gaps.

Wireframe
to High Fidelity

For this project, we began by creating quick wireframes to ensure alignment and shared understanding across the team. Once aligned, we developed high-fidelity Figma prototypes, all while keeping in mind the constraints of FlutterFlow, the no-code platform we used to deliver the final product. This ensured the design was both realistic and achievable from concept to final build.

Prompt to Code.

For the project, we originally built it in FlutterFlow, but for the purpose of showcasing it in my portfolio, I created a working prototype using Claude.

Prototype Features & Interactions