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> Index of every page on this site: [llms.txt](https://fractionalappliedai.com/llms.txt)

# AI agent development and LLM integration services

I work as a fractional applied AI engineer: a few months, or a fixed sprint, inside your team, so the work ships instead of staying a prototype. The four sections below are the work I take.

How the role differs from a consultant or an agency is on [the forward deployed engineer page](https://fractionalappliedai.com/forward-deployed-engineer) . To start, use the [contact page](https://fractionalappliedai.com/contact) .

## AI agent builds

An agent that does one job in your operation, with a limit on what it is allowed to change.

- A defined job, such as reading a record, drafting a reply, or filing a field note, against your live data.
- Permissions that match the person who would have done the job by hand.
- An audit trail so a person can see what the agent read and what it wrote.
- A way to turn it off without taking the rest of the product down.

## LLM integration into existing products

The model lives inside the product you already ship, not in a separate chat tab.

- A feature in your current UI, using your auth and your design.
- Retrieval or tool calls against your own records, scoped to the tenant and the role.
- A small eval set built from your real cases, so "good" means good on your data.
- Failure behavior a user can understand: a refusal, a handoff, or a draft a person edits.

## AI workflow automation

A loop your team repeats becomes a path, and a person still owns the step that needs judgment.

- The current path written down, including the exceptions, before any automation.
- Software for the steps that are copying, sorting, or checking a known rule.
- A human check where a wrong action costs money, safety, or trust.
- Handover so the team can change the path when the business changes.

## Technical AI strategy

A decision your team can execute: what to build, what to buy, and what to skip.

- A review of the workflow and the systems it already touches.
- A recommendation on model, vendor, and where the work should live in your stack.
- A note on what a later build or hire needs to be true.
- No production system. If you want the build, that is a retainer or a sprint.

## Request an intro call

Bring one workflow and the system it lives in. I will tell you whether I am the right person, and what the first stretch of work would cover.

[Request an intro call](https://fractionalappliedai.com/contact) [Email](mailto:hello@fractionalappliedai.com)

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## Sitemap

See the full [sitemap](https://fractionalappliedai.com/sitemap.md) for all pages.
