Most legacy systems are not broken. They were built for a smaller company.

Capabilities

• Technical product ownership
• Legacy modernization and architecture review
• Custom AI agents and tooling
• Retrieval systems and LLM integration
• Workflow automation
• Vendor evaluation

The work

The platform that ran the business at its previous size becomes the thing holding it back at its current one. That is not a failure. It is a symptom of growth, and it is a different problem than "the system is bad." The work is to find the one constraint that actually matters and sequence the change so the business is never worse off mid-transition than it was at the start.

A meaningful share of recent work has been building custom AI tools on top of models a business already pays for. Not chatbots. Instruments that do one defined job. Make true[MAKE TRUE: name one you have actually built, e.g. "A retrieval system that reads six years of internal correspondence and answers in seconds what used to take an analyst a morning."] The standard for an AI tool is the same as for any tool: it must survive the handoff. If the team that owns it cannot maintain it after the engagement ends, it was never delivered.

Engage the practice