←All case studies
CS / 01Residential Construction

A Unified Platform for the Full Residential Construction Lifecycle

One operating system for the whole business: 10+ projects, seven figures of annual project volume, and invoicing, change orders, and forecasting finally under one roof.

The story, in 30 seconds
10+ projects
run in one system
7 figures
annual project volume
6 months
requirements to org-wide adoption
< $30/mo
infrastructure cost
§ 01 / Overview

A regional residential contractor was running Discovery, Design, Build, and Deliver across spreadsheets, email threads, and a patchwork of tools, with no company-wide view of where money was going or which jobs were healthy. In six months we went from requirements to org-wide adoption of a serverless AWS platform that now runs the business: every active project in one place, seven figures of annual inflows and outflows tracked against budget, invoicing automated, change orders structured so the company is protected on paper, and a genuinely new experience for owners, project managers, and customers alike. The platform has become the company's second brain: a rich, AI-ready data environment that keeps getting more valuable as we ship features that push deeper into the operational data behind every decision.

§ 02 / Challenge

What was getting in the way.

The business was growing faster than the tools running it. There was no single system across Discovery, Design, Build, and Deliver, and no way to see all 10+ active projects at once. Seven figures of annual inflows and outflows moved through spreadsheets and email, so cash position and project margin were always reconstructed after the fact instead of known in the moment. Invoicing was manual and slow. Change orders were agreed in conversation and captured inconsistently, leaving real legal and financial exposure on scope the company had already built. Owners could not forecast, project managers could not see status, and customers had no window into their own job. Off-the-shelf solutions were too expensive, too rigid, or required the team to change how they worked.

§ 03 / Solution

What we actually shipped.

We started with a current-state assessment and a prioritized roadmap, then moved through design, prototyping, a customer pilot, and org-wide adoption in six months. The platform is serverless on AWS (Lambda for compute, Aurora Serverless for the database, S3 with CloudFront for delivery) with a React frontend built around how this company actually works. Every project lives in one system with financials tracked against budget, so ownership can see cash position, margin, and forecast without assembling a spreadsheet. Invoicing is generated from project data instead of retyped. Change orders follow a structured, auditable approval path that protects the business legally before work starts. AI-powered document review runs in production on AWS Bedrock, and PMs, customers, and trade partners each get a purpose-built workflow rather than a shared inbox. The result is a rich, AI-ready data environment that functions as the operating system and second brain for the business, and the work continues: we are actively shipping features that surface more of the underlying operations data and turn it into decisions.

Services & tools
AWS LambdaAurora ServerlessCloudFrontAWS BedrockAI Document ReviewCustom Software
Similar problem?

Could your business see similar results?

Every engagement starts with a free conversation. Tell us where you are and where you want to go.

More client stories
CS / 01

A four-week discovery that turned buried documents and email threads into a six-month roadmap for growth without new headcount.

Real Estate Services

A boutique real estate services company was managing a growing portfolio on workflows that had quietly stopped scaling, with critical terms and numbers locked inside documents and email threads and too much of the operation dependent on outside parties. We ran a detailed four-week discovery across the people actually doing the work, then designed a path that meets the business where it is: integrating with the document storage they already use rather than forcing a migration, layering on intelligent document processing and automated reconciliation, and building the data foundation that lets the team take on more portfolio without adding headcount. The result is a six-month roadmap that transforms how the portfolio is managed and lays the groundwork for enterprise AI adoption.

CS / 02

One role-aware iOS app replacing spreadsheets and group chats: 24+ teams, 4 coaches, and hundreds of families on a single source of truth by spring 2027.

Sports & Training

A quickly growing regional basketball brand had outgrown the tools it started with. Coach scheduling, family communications, registration, and recurring tuition were spread across spreadsheets, group texts, and ad-hoc channels with no shared source of truth. We're partnering with the program owner to design and build a custom native iOS app that consolidates the program onto one surface coaches, parents, and players actually use, purpose-built for how this program operates and architected as a foundation for AI-powered capabilities that will compound value as the program scales.

CS / 03

Eliminated 5 hours of weekly manual payroll, redirecting ~$5K a year into higher-value work.

Services & Retail

A salon and spa with complex, multi-tier compensation structures was spending hours every week on manual payroll, exactly the kind of costly, repetitive work that keeps small teams from focusing on their business. We identified the most time-consuming steps, automated the entire calculation workflow, and built in reporting dashboards that turn payroll data into clear financial insights every pay period. That is roughly $5K a year of administrative time redirected from payroll math to higher-value work.

CS / 04

Cut 10 hours of monthly admin and enabled data-driven client programming.

Small Business

A personal fitness trainer was tracking clients, workout programs, and results in Excel, a system that worked at first but couldn't scale. We eliminated the manual work holding the business back, built a lightweight tool with analytics that turn client data into actionable insights, and laid the groundwork for AI-powered features like auto-generated training plans, starting where AI actually moves the needle.