01
Lead qualifier
Reads every inbound inquiry, scores how well it fits your business, and drafts a tailored reply so the best leads get attention first.
Service
AI agents that work for your business.
I build practical AI assistants that qualify leads, draft proposals, and answer common questions using your business's own context, with you reviewing everything before it goes live.
The basics
What is an AI agent?
An AI agent is software that can read context, make a judgment call, and take a useful next step, instead of just following a fixed script. A basic chatbot matches keywords. An agent reads the actual inquiry, understands what the person is asking for, and responds the way a trained employee would.
The difference comes from context. An agent built for your business works from your services, your pricing rules, your processes, and your tone. It is not a generic AI bolted onto your website. It is an assistant that knows how your business runs.
I build agents that start small and earn trust: drafting instead of sending, suggesting instead of deciding, until you are confident in the output.
Agent patterns
Agents I build for service businesses
These are the four agent patterns that deliver the most value for operations-heavy teams.
02
Proposal drafter
Turns your call notes into a draft proposal in your format and your voice, ready for review instead of started from scratch.
03
Customer question answerer
Handles the questions customers ask over and over, accurately and in your tone, before they ever reach your inbox.
04
Internal knowledge assistant
Answers your team's questions from your own documents and processes, so nobody waits on the one person who knows.
Trust first
AI with guardrails, not AI on autopilot
Every agent is tested before it goes live, and you review its output before it touches your customers or your team. Most clients start in draft-only mode: the agent prepares the work, a human approves it. Autonomy is something you grant gradually, not a default.
Agents are also designed to fail gracefully. When one hits a situation it is not confident about, it stops and flags it for a person instead of guessing.
Most agent projects start alongside workflow automation: the automation moves the data and triggers the steps, while the agent handles the parts that need judgment, like reading an inquiry or drafting a reply.
Built by Skylar SimpsonFounder, Skylar Automation · Salem, Oregon
Service questions
AI agents, answered.
The questions owners ask most before starting this kind of build.
What is the difference between an AI agent and a chatbot?
A chatbot follows a fixed script and breaks the moment a question falls outside it. An AI agent works from your business context, so it can read an unusual inquiry, understand the intent, and respond usefully. Agents can also take actions, like updating your CRM or drafting a proposal, not just chat.
Do I need my data organized before we start?
No. Part of the build is gathering the context the agent needs: your services, common questions, pricing rules, and tone. Most of that comes from a conversation and the documents you already have.
Can the agent send things without my approval?
Only if you want it to. Most clients start with draft-only mode, where the agent prepares replies and proposals for a human to approve. You decide if and when it earns more autonomy.
Which AI models do you use?
I pick the model that fits the job and the budget, and I build the system so the model can be swapped as better ones come out. You are never locked into a single AI vendor.