What "fractional" means in practice
A fractional engagement means you get senior expertise applied to a specific problem, on a defined cadence, without carrying a full-time salary. For most finance and operations teams, the calculation is straightforward: a capable AI engineer costs $180,000 to $250,000 per year before benefits and takes months to hire. A fractional engagement focused on your two or three highest-leverage workflows delivers faster, costs less, and ends cleanly when the work is done.
Georg Chimion works with clients in South Florida and remotely across the US, spending 10 to 30 hours per month per engagement on workflow design, coding, testing, and handoff. The goal is always a production system your team can run and maintain, not a proof of concept that needs a minder.
What gets built
The work falls into a few categories that consistently move the needle in regulated industries:
Reconciliation Automation
Daily, weekly, or month-end recon that currently involves spreadsheets and manual review. Claude-powered pipelines ingest statements, flag breaks, and output reconciled reports ready for sign-off.
Fraud and Compliance Detection
Detection logic running across transaction feeds, customer records, or internal activity logs. Built on structured SQL rules and LLM-assisted classification, tested against real edge cases.
Document Processing
Loan packages, KYC files, audit binders, regulatory filings. Extraction, summarization, routing, and exception flagging across PDFs, scanned documents, and mixed-format inputs.
Multi-Agent Systems
When a single prompt-and-response is not enough. Pipelines using Anthropic's Claude SDK where agents plan, delegate, validate, and hand off results to downstream systems.
All builds are designed with auditability in mind. In regulated environments, every output needs a traceable chain from input to decision. That is not an afterthought here; it is built into the architecture from the start.
Who this is for
The best fit is a mid-size firm (20 to 300 employees) in South Florida or working remotely that has identified a specific process eating hours each week and has a technical contact who can deploy and maintain a finished system. Industries that are a consistent fit:
- Banking, credit unions, and lending operations
- Wealth management and family offices
- Insurance carriers and MGAs
- Compliance, AML, and financial crimes teams
- Any back-office operation processing high volumes of structured data or documents
This is not the right fit if you are looking for a vendor to manage an AI chatbot, or if you need a strategy deck with no implementation attached.
How an engagement starts
A free workflow audit is the starting point for most clients. Georg reviews your current processes, identifies the two or three highest-ROI automation targets, and lays out a build approach with realistic timelines. No proposal theater, no discovery retainer. If the fit is clear, you get a statement of work and a start date within a week.
The audit is a conversation, not a sales process. If your situation does not fit the engagement model, Georg will say so plainly and point you toward what does.