Title Resource Group
I mapped the title-search workflow and put AI on the repetitive exam work. The examiner still verifies each result.
AI + UX Discovery
For product and operations leaders with a full AI backlog and no proof of which idea pays for itself.
Tell me what’s broken and where you’re stuck.
You can name ten places to add AI. You cannot yet say which one pays for itself. This engagement answers that before anyone builds.
You leave with a few opportunities scored by impact, feasibility, and risk, and a clear place to start the roadmap.
I interview the people who do the work, then map the process and the customer journey so the leaks in time, cost, and drop-off are visible.
Enterprise, fintech, regulated workflows, and SaaS. Old systems and unclear ownership are a normal place to start.
The recommendation is the lever that moves efficiency, conversion, retention, or cost. Sometimes that lever is AI. Sometimes it is a workflow or UX change.
You tell me what is leaking: time, cost, drop-off, or a backlog of AI ideas no one can rank.
I interview the people who do the job and map the process and the customer journey.
Each opportunity is ranked by impact, feasibility, and risk. The ones that do not pay stay off the list.
You leave with a shortlist and a recommended start. Sometimes that start is AI. Sometimes it is not.
I mapped the title-search workflow and put AI on the repetitive exam work. The examiner still verifies each result.
I joined mid-build, learned the governance domain, and modernized an 18-year-old platform while daily approvals kept working.
I replaced the analyst spreadsheet with a workspace that reads brand-tracking waves across three markets and four years.
This is for
Enterprise, fintech, regulated workflows, and SaaS. You have a real process, unclear ownership is fine, and you need a decision before a build.
This is not for
Not a fit if you already know the build and only need extra hands, or if you want a chatbot shown to leadership this week.