SirPlomberie: a custom business SaaS that frees up 15 hours a week

For a tradesperson, every hour at a screen is an hour off site. SirPlomberie was losing his evenings re-entering client requests and rebuilding his schedule. Nova Studio designed and built his business SaaS end to end: job tracking, scheduling and client management in one place, with AI exactly where it removes data entry. The result: 15 hours recovered every week.

In short

• The client: SirPlomberie, an independent plumber
• The challenge: Centralise job management and reduce the mental load of daily operations
• The product: A business SaaS with job tracking, scheduling, client management and an AI agent on incoming requests
• The delivery: The live SaaS, its source code, documentation and two months of maintenance
• The impact: 15 hours of admin saved every week

1. The starting point: scoping the tool around the field

Running a plumbing business alone demands flawless organisation. Between emergencies, ongoing jobs and client relationships, SirPlomberie was juggling generic tools that never talked to each other.

Scoping surfaced three points of friction, which defined the scope of version 1:

• No way to prioritise jobs in real time.
• The time spent turning a client request into a job sheet.
• No single place to see the schedule and profitability.

The goal was not to digitise existing processes but to design a tool that genuinely lightens the day. Screens were signed off before development, under one constant constraint: this would be used from a van, between two jobs.

2. Building: fewer clicks, automated data entry

Every screen was designed for field use rather than functional completeness.

AI on data entry and scheduling

Instead of rigid forms, an AI agent works in the background: it reads incoming client messages, pre-fills job sheets and suggests slots that fit the existing schedule. That was where the most time was lost, so that is where AI had the most to give. Elsewhere in the product, it is absent.

The stack

• Next.js for an instant interface, including on the move with an average connection.
• PostgreSQL for a structured database covering clients, jobs and quotes.
• LLM features for automatic data extraction and help writing job reports.

3. At delivery: a tool he owns

The SaaS went live with the full codebase, documentation covering the architecture and how to take the project over, an onboarding session, and two months of maintenance during which field adjustments were folded in.

The results:

• Time saved: 15 fewer hours of admin per week, the equivalent of two extra days on site.
• Operations: immediate visibility on priority jobs and the status of each case.
• Data entry: creating a client record takes seconds instead of minutes.

Do you have a SaaS project?

SirPlomberie shows that a business product does not need to be complex to change a working day: it needs to be scoped on the right problems, and to use AI only where it removes real work.

We design and build your SaaS end to end, without you having to hire an engineering team. Let's talk about your project.