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Reimagining Applications with AI

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)

Duration

2 weeks

Industry

AI & Cloud Computing

Scope of work

SaaS

AI-Driven

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

Working on rapid MVP builds meant balancing speed with clarity. My process moved from understanding requirements to validating storyboards with stakeholders, designing high-fidelity prototypes within FlutterFlow's constraints, and closing the loop with final reviews before handoff.

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.

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.

Storyboard

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.

*Replica of the original project artifact, unchanged to reflect real delivery under time constraints. Use the custom zoom to view research text.

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.

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.

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

Filter Part Cards → Sort by AI processed, errors, or all.

Open Part Details → Click on any card to view detailed screen.

Upload Flow → Simulate uploading diagrams and BOM data.

Inspect Diagram → Identify AI-marked missing information.

Cross-Reference Tables → See issues mapped with reference IDs.

Scrollable Tables → Navigate Pre-BOM and Post-BOM data.

View Part Details Panel → Review part metadata in the side panel.

PixelWave Innovation
This prototype is only available in desktop or tablet view. Please switch to a desktop or tablet device to interact.
PixelWave Innovation
This prototype is only available in desktop or tablet view. Please switch to a desktop or tablet device to interact.

Measurable Impact

3.3X Faster

3.3X Faster

Faster turnaround validating complex manufacturing diagrams against the bill of materials — compared to the fully manual workflow.

PROCESS COMPARISON
Manual Process
 
AI-Powered Workflow
 
TIME RECLAIMED
VALUE ADDS FOR OUR CLIENT

01.

Significant Time
Savings

Reduced validation and structuring time by ~70 percent, enabling faster decision making and improved engineering efficiency.

02.

AUTOMATED STRUCTURING AND ERROR DETECTION

AI surfaces mismatches and missing fields against the bill of materials — catching issues long before they reach production.

03.

STANDARDIZED PROJECT OUTPUTS

Converted unstructured inputs into consistent, Gantt-ready project plans, ensuring clarity, alignment, and scalability across teams.

Project Feedback

Eleisha Z. Tetteh
Creative Leadership Senior Manager, Accenture London
"Souvik was an invaluable contributor to the Google PitchHub project, a highly strategic and competitive 8-week pilot showcasing ACN’s [genai] capabilities with Google Gemini AI. His work helped create five high-impact sales demos for prominent clients, including Airbus, UHG, Coca-Cola, Banco BV, and Woolworths – demonstrating ACN’s ability to rapidly scale and deliver cutting-edge solutions. As a UX/UI Designer, Souvik played a critical role in crafting compelling, high-quality design solutions tailored to each demo. His expertise in user-centred design was evident and his ability to collaborate effectively within the team under tight timelines was truly commendable. He demonstrated strong adaptability, seamlessly responding to feedback and refining designs to meet the specific needs of diverse industries and global markets across AMER, APAC, EMEA, and LATAM. Thank you Souvik for your dedication and valuable contributions, your ability to balance creativity, user experience and strategic business impact will be a great asset in your future roles."
Eleisha Z. Tetteh
Creative Leadership Senior Manager, Accenture London
"Souvik was an invaluable contributor to the Google PitchHub project, a highly strategic and competitive 8-week pilot showcasing ACN’s [genai] capabilities with Google Gemini AI. His work helped create five high-impact sales demos for prominent clients, including Airbus, UHG, Coca-Cola, Banco BV, and Woolworths – demonstrating ACN’s ability to rapidly scale and deliver cutting-edge solutions. As a UX/UI Designer, Souvik played a critical role in crafting compelling, high-quality design solutions tailored to each demo. His expertise in user-centred design was evident and his ability to collaborate effectively within the team under tight timelines was truly commendable. He demonstrated strong adaptability, seamlessly responding to feedback and refining designs to meet the specific needs of diverse industries and global markets across AMER, APAC, EMEA, and LATAM. Thank you Souvik for your dedication and valuable contributions, your ability to balance creativity, user experience and strategic business impact will be a great asset in your future roles."

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