Scope grew from code to content and AI workflows.

The challenge

A fast-growing US HealthTech company needed its digital platform to move as fast as the business behind it. New content, integrations, campaigns, and product requirements created a continuous engineering workload rather than a finite project. What it needed was reliable capacity that could learn the business, stay close to the product, and keep shipping.

How we delivered

2+ years, one dedicated unit of 5, continuous delivery

1. 01

   Dedicated unit

   three software engineers and two QA specialists working directly inside the client's technology environment.

2. 02

   Continuous product delivery

   the unit ships and evolves customer-facing experiences as business priorities change.

3. 03

   Quality inside the cycle

   dedicated QA works alongside engineering so validation is part of development, not a stage after it.

4. 04

   Content foundation

   implemented and evolved the company's Sanity-based content infrastructure to support a fast-moving marketing organization.

5. 05

   AI on real workflows

   automations cut repetitive work across content and operational processes, adding throughput without adding headcount.

The outcome

For more than two years, the same five-person unit has built, tested, and evolved the customer-facing platform, with scope expanding from software development into content infrastructure, quality automation, and AI-powered workflows. Because context compounds, the unit moved from executing individual requirements to improving how the work itself gets done. The client gained more delivery capacity without continuously expanding the organization behind it. [falta: quantified delivery or throughput metrics]