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AI agents & assistants · Michigan

Use AI where it can actually take work off someone’s plate.

I build AI that answers calls, captures leads, answers approved questions on websites, helps teams search internal knowledge, reads documents, summarizes information, and works inside larger automations.

Practical AI use cases

AI should solve a specific bottleneck, not become a new one.

01

AI phone answering & lead capture

Answer common questions, collect caller information, route calls, capture leads, and start scheduling or follow-up workflows.

02

Website Q&A assistants

Answer questions using approved business information so visitors get useful responses without an open-ended generic chatbot.

03

Internal knowledge assistants

Help employees find answers across approved policies, procedures, documents, or internal reference material.

04

Document AI

Read invoices, forms, PDFs, emails, or other unstructured content and turn it into structured information for the next step.

05

AI inside automation

Use AI for classification, summarization, extraction, or judgment where normal business rules are not enough.

My rule

If a normal rule works better, I use the normal rule.

I am not trying to make every project “AI-powered.” The useful question is whether AI makes the process faster, easier, or more reliable than a simpler approach.

The goal is a dependable business system, not an impressive demo.

Have an AI idea?

Bring the business problem first.

I’ll tell you whether AI actually belongs in the solution and how I would connect it to the rest of the process.