Case studies

What we built, and the decisions behind it.

Four projects: an own product, a large business platform, a design system running on two tech stacks, and notes on what AI actually does in engineering — and what stays in human hands.

The work

Four cases, four kinds of responsibility.

Own Product

Cadensa: SaaS from idea to operations.

Multi-tenant time-tracking and business platform. One person took it from idea to a live, EU-hosted system with real payments, holding full product, technology and operational responsibility.

Case study

Business Platform

22 microservices in a shared business system.

CRM, calculators, quotes, contracts, documents, knowledge base and reports in a financial advisory platform. Anonymised client work with senior full stack and DevOps responsibility.

Case study

Design and motion system

One system, two completely different tech stacks.

Unifying WCAG contrast fixes, focus handling, and motion language across the Cadensa app and its landing page, without rewriting either codebase.

Case study

AI engineering methodology

The AI translates and executes. Decisions and verification stay human.

Cadensa is a live SaaS product since 2026-05-31, built with AI agents. Every brand and business decision, and every production-measured check, stays in human hands.

Case study

Next step

Got a complex product or system problem?

In a short Fit Call we decide whether Axeri Labs is the right partner and whether Outcome Discovery is the correct next step.

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