Digitizing the construction industry

The challenge: construction teams struggling with non-digital data management

As industries globally embrace digital transformation at an unprecedented rate, the construction sector remains stuck in the past. Many processes are still done manually, with tools scattered across teams and a lack of streamlined workflows. The Client’s founders recognized these inefficiencies and focused on creating a solution – a vertical software for construction companies to unify fragmented tools and processes. They understood the need for a seamless system combining project management and financial tracking, offering construction teams greater control and efficiency.

The Client’s needs

When the founders turned to Boldare, their goal was clear: create an AI-powered prototype from scratch for construction management software targeting the European market. They had deep industry knowledge but needed an experienced development team. With limited budget and time, they needed a ready-made prototype to demonstrate the concept to investors and help secure funding for the MVP phase.

Key objectives

The core idea behind the digital management tool was to improve:

• Operational efficiency \ Cost accuracy\ Process transparency

The primary focus was on real-time tracking of financial and administrative data, advanced analytics, and better collaboration between construction and administrative teams.

Our solution: rapid prototyping with AI-native expertise

To meet the tight deadline and use the client’s budget efficiently, we identified the path forward: rapid prototyping using our agile, hands-on approach and AI-native expertise.

We decided not to involve the traditional development process. Instead, we opted for intensive, in-person workshops followed by remote vibecoding sessions, allowing for real-time collaboration and immediate iteration.

The vibecoding allowed us to work directly with the Client’s team, keeping them in the loop at every step. The goal was to create a high-fidelity prototype demonstrating both the feasibility of the idea and its technical potential.

The process: delivering a prototype in 14 days

Here’s how our work unfolded, structured to ensure rapid and efficient results:

1. Week 1: Discovery and initial prototyping\ \ Day 1 & 2 – Product Discovery Workshop (on-site)\ \ We kicked off with a Product Discovery Workshop at our Gliwice office. This workshop was crucial for aligning all stakeholders on the product vision, business goals, target user personas, and the strengths and weaknesses of the proposed solution. Over two days, we worked closely with the Client’s team to map out the key value propositions and user flows.\ \ Outcome: By the end of Day 2, we had reached a shared understanding of the product’s objectives, mapped potential risks, and developed a storyboard with two candidate flows to explore. \ \ \ Days 3–5 – Initial prototyping (on-site)\ \ We collaborated with the Client’s team to develop two basic prototypes, testing different user flows. This allowed us to quickly identify the best direction for the product.\ \ By the end of Week 1, we selected the final flow for the high-fidelity prototype.\ \ \ Week 2: Prototype build and finalization \ \ Day 1 – Client decision point (hybrid setup) \ \ At the start of Week 2, the Client selected the final prototype direction. The client also provided final feedback on goals and testing parameters, ensuring full alignment.\ \ \ Days 2–5 – Final prototype build and refinement (hybrid)\ \ With the final flow in place, we focused on:\ - Architecture and user flow creation: Defining the core structure and navigation logic\ - Moodboards: Presenting two alternative visual directions with different graphic styles, iconography, typography, and reusable design components\ -Testing mechanisms: Integrating technical and analytical tests to gather feedback\ -Final design & build: Refining the prototype into a fully clickable, investor-ready version

Deliverables

By the end of the two-week sprint, we delivered:

• Final clickable prototype ready for user testing and investor presentations\ AI-enhanced flow concepts\ Visual design assets for future development\ Summary report detailing the final product, changes made, and next steps toward MVP development\ Product vision & value map\ User flow diagrams Initial product roadmap\ Discovery Workshop deliverables including MVP roadmap and technical approach *

Methodology: product management approach

We employed a range of proven methodologies to guide the project from ideation to prototype:

• Product Discovery Workshop to define core objectives, target users, and business goals\ Personas to understand the needs and expectations of our target audience\ Competitor benchmarking to identify best practices and market gaps\ Quick Heat Map for market analysis and feature prioritization\ Four Product Risks methodology to assess potential product risks\ Crazy-4s and low-fidelity prototyping to rapidly validate ideas and test different concepts

Technology: building the foundation

Tech stack overview For this project, we utilized a robust tech stack that enabled rapid prototyping: Next.js as the foundation, combining backend and frontend in a single repository for smoother development and integration\ Twilio for seamless communication\ Google Tag Manager (GTM) and Google Analytics 4 (GA4) to track user interactions and collect data

AI integration: a game changer for development

The standout element was AI integration woven throughout the entire development process. From the outset, we defined a custom GPT-4 model incorporating deep knowledge of the product, customer, and industry. This AI model was essential in guiding prototype creation.

The entire development process – from ideation to final design – was powered by AI-enhanced vibecoding through Cursor, eliminating the need for traditional design tools like Figma.

This allowed for an accelerated design process and real-time prototyping.

AI models driving development

We used AI models like Gemini 3 Pro and Opus 4.5 through the OpenAI API to drive various aspects of development. AI played a pivotal role not just in development, but also in business processes such as research, planning, and data analysis.

For example, we used AI to:

- Analyze construction documents\

• Generate daily reports\
• Process voice notes into structured data for real-time financial tracking\ \ By automating these time-consuming tasks, we saved significant time, increased accuracy, and reduced the cost of manual processes.

AI-assisted coding: accelerating development

The entire code was generated using AI tools like Opus 4.5 and Gemini 3, enabling faster iteration and higher-quality output.

We also built an integration with WhatsApp to allow users to send images, text, or voice messages, which would then trigger OpenAI Whisper (speech-to-text) and OpenAI GPT-4 to generate daily reports in real time.

Scalability and security

While the prototype wasn’t optimized for scalability or high performance at this stage, we ensured its security through both manual and AI-assisted code audits, with additional input from DevOps experts. This process laid a strong foundation for future iterations and scaling.

Team composition required to deliver the prototype in 14 days

The project was executed by a small, cross-functional team:

Boldare Team:

Product Designer – crafting UX/UI and creating the prototype

Software Engineer – validating feasibility, assisting with Vibecoding, and ensuring technical alignment

Senior Business Strategist – providing strategic advisory and ensuring long-term viability

Client Team:

CEO & Co-Founder and Co-Founder (Product owners) – guiding product vision and making key decisions throughout development

The prototype that opened the door to funding

After every successful prototype, it’s time for the next phase… The collaboration with the Client resulted in a high-quality, AI-powered prototype delivered in just 14 days. This prototype laid the groundwork for the next phase of product development and provided the Client with a working product experience that proves both the idea and its technical feasibility. Following the successful prototype delivery, the Client is now in active discussions with investors and preparing for MVP development.