What this covers
Most businesses don't need a new AI product — they need AI connected to the systems they already have. I build integrations that bring the capability of modern language models and automation tools into your existing workflows, data, and infrastructure.
The focus is always on a specific, measurable outcome: a process that takes less time, a decision that gets made with better information, or a task that no longer needs a human to initiate it.
Workflow Automation
Identify repetitive processes and automate them — document processing, data extraction, reporting, notifications.
Operational Insights
Connect AI to your operational data to surface patterns, anomalies, and summaries that would otherwise require manual analysis.
API & System Integration
Wire AI capabilities into your existing tools — your ERP, CRM, or internal dashboards — without replacing them.
Custom AI Agents
Autonomous agents that handle defined tasks end-to-end — scoped carefully so they're useful, not unpredictable.
How I work
Use case definition
Start with a specific problem, not a technology. What takes too long, costs too much, or fails too often?
Feasibility & scoping
Assess whether AI is actually the right tool, what data is available, and what a realistic first version looks like.
Build & integrate
Develop the solution against your real environment — not a demo — with output you can validate against known results.
Review & iterate
Review the results, refine the approach, and hand over something your team understands and can monitor.
On realistic expectations: AI is genuinely useful for a specific class of problems. I'll tell you upfront if your use case isn't one of them — there's no point building something that underdelivers.