Farrey Technology Partners
Enterprise technology leadership, delivered at startup speed.
Twenty-five plus years running technology for top-tier financial institutions, multiple tech startups, in multiple industries, multiple AI models experience, extensive operational, financial and technology experience — now building the dashboards, data platforms, and operational apps that small and mid-size companies actually ship — architected, secured, and deployed, not just designed — with AI used where it actually pays and governed where it doesn't.
What I do
I build the software your operation runs on — the whole stack, not the surface.
Dashboards, data platforms, mobile field tools, and internal apps. I design the data model, build the interface, wire the integrations, secure it, deploy it, and hand you a runbook. One person accountable end to end, no gap between whoever designed it and whoever has to run it.
Interface
What your team actually touches
Application
The logic, roles, and workflow underneath
Data
Where the numbers come from and what they mean
Platform
What keeps it up on a Monday morning
SOX · PCI DSS · GDPR · Row-level security · SSO & RBAC · Secrets management — applied at every layer, not bolted on at the end.
Document extraction · Anomaly detection · AI-assisted build — applied where it earns its place, reviewed by a human before it reaches your environment.
End to end, not just the front end
Discovery, architecture, data model, interface, deployment, handover. One person accountable from the first whiteboard to the production runbook — no seam between whoever designed it and whoever has to run it.
Built to survive an audit
Two decades shipping under SOX, PCI DSS, and GDPR. Row-level security, least-privilege roles, SSO, encrypted secrets, and an access model you can hand an auditor on day one — designed in, not retrofitted after the first assessment.
Cloud that holds under load
I moved trillions of dollars every day around the globe, for a top-five bank and cut outages in half. The same discipline at your scale: infrastructure as code, CI/CD, observability, backup and recovery you have actually tested, and cost controls that keep the bill honest as you grow.
Data plumbing under the dashboard
Time-series and warehouse architecture, Finance, logistics, suppliers, ERP integration through APIs providing real-time pipelines, and a governed metrics catalog so one number means one thing. A dashboard is only as trustworthy as what feeds it.
Why We are Different
What a CTO-led build looks like next to a typical freelance developer.
The difference is not more code. It is architecture, governance, data, and delivery that holds up once you are running it inside a real company.
A typical freelance developer
Farrey Technology Partners
- Builds the screens you describe
- Owns the architecture, the data model, and the screens
- Ships to a demo environment
- Delivers audit-ready software, built with SOX, PCI DSS, and GDPR habits
- No context on regulated industries
- Ten + years inside top-tier financial institutions, leading highly regulated global money movement systems.
- Stops at the API boundary
- Lots of ways to get data in/out, securely, API, MCP, EDI, Payment formats, global standards, all types consider and used
- Leaves vendor decisions to you
- Negotiates and rationalizes the vendor portfolio
- Sells you the trend
- Has shipped through five of them and will name the parts that don't work yet
- Uses AI and hopes you don't ask
- Shows you exactly where AI touched the build — and where it deliberately didn't
- Hands over code and disappears
- Documentation, a runbook, and a team structure that can carry it
Bring me the problem your team has been working around.
If AI is the right answer, I’ll show you where. If it isn’t, I’ll tell you that too.
Tell me the outcome you need. I'll tell you what it takes, what it costs, and whether I'm the right person for it.