Method
Most operational software fails at the architecture layer, not the feature layer. Our method exists to get the structure right first, then ship fast on top of it. This is the same process behind every system on the work page.
A systems audit of your operation: where data lives, how work actually flows, what breaks, and what it costs. We interview the people who run the process, not just the people who bought the tools.
You get: Architecture assessment, prioritized roadmap, and a fixed proposal for the build.
Structure before implementation. Data models, integration maps, decision records, and the boundaries of what gets automated versus what stays human. Reviewed with you before a line of production code.
You get: System design document, data model, architecture decision records.
Weekly shipped increments with working software from the first weeks. We use AI heavily in development and review everything with human architectural oversight. Documentation is written as we build, not after.
You get: Working system in staged releases, runbooks, and handover documentation.
Systems earn their keep in production. Instrumentation, alerting, cost monitoring, and continuous improvement, either handed to your team with documentation or operated by us under retainer.
You get: Monitoring, alerting, and a measured improvement cadence.
We build with AI at every stage, from research and architecture review to code and testing, and we build AI into the systems we ship. The rule is the same in both places: models explain, score, extract, and draft. Humans approve anything irreversible. Every AI decision in our systems carries its evidence, its confidence, and an audit trail.
Systems before features
We optimize the whole workflow, not one screen.
Architecture before implementation
Data models, decision records, and review before code.
AI with guardrails
Models explain, score, and draft. Humans approve anything irreversible.
Documentation is part of the product
Specs, runbooks, and handover standards ship with every system.
Security as a default
Least privilege, server-side secrets, and audited access from day one.
Software should compound
Every system is designed to get more valuable as data and usage grow.
Fixed scope or monthly retainer against a clear roadmap. Starts with the discovery audit, ends with a system your team runs, with documentation and handover as deliverables, not afterthoughts. Engagements typically start around $25k.
For founders and internal teams building a product: ATS embeds as the systems architecture and engineering partner, from validation through launch. Fewer of these, chosen carefully, because we work hands-on.
Thirty minutes, with the founder. No deck required.