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LLM consulting: language models put to work on your actual workload

Yaffe AI designs and implements LLM systems around the work your business already does — email, documents, reports, and internal knowledge. After an audit of your operation, we build the system ourselves or teach your team exactly how, and measure it against the hours the work takes today.

What can LLMs reliably do for a business today?

Read and draft email in your voice, produce documents and reports in your formats, summarize long threads, extract structured data from messy inputs, answer questions grounded in your own files, and do the first pass of any language-heavy task so a person only reviews. These are dependable when the system is built around your real cases and has clear human checkpoints — and brittle when someone just pastes work into a chatbot.

Custom model, API, or off-the-shelf tool?

Almost always: start with a strong commercial model behind a well-designed pipeline, grounded in your data. Fine-tuning and open models earn their place at volume or under strict data constraints. Off-the-shelf tools win when your need is genuinely generic. The audit tells us which applies — and because we resell nothing, the answer has no thumb on the scale.

How does an engagement work?

Every engagement starts the same way: an audit. We sit with you and the people doing the work, map how your business actually runs, and find where time is genuinely being lost. You get a written, prioritized plan with an honest verdict per opportunity: AI helps here, a simpler fix wins here, or leave this alone. Then we do what the business needs — implement the AI and automation ourselves, or consult and teach you exactly what to do. If nothing clears the bar, the engagement ends with the diagnosis. We would rather give honest advice than sell unnecessary technology.