Get Clear Answers Before You Book

Applied Intelligence provides AI consulting for business owners and everyday people who want practical help using AI. The work focuses on workflow audits, automation, GPT-style assistants, training, documentation support, and clear next steps.

An AI Workflow Audit reviews how work currently gets done, finds bottlenecks, and identifies where AI can safely reduce repeated manual work. You get a friction map, a ranked list of AI opportunities, risk notes, and one pilot recommendation.

Yes. We build practical automations using forms, email, Google Docs, Google Sheets, Make.com, Base44, and AI tools. The first step is confirming the workflow, risk level, tools, and review points before anything gets built.

The consultation is free. One Workflow, Fixed runs $299/mo. The Operations Package runs $499 to $999/mo depending on how many workflows connect. Anything multi-department or compliance-heavy is quoted after a working session.

A quote given before anyone has looked at the work is a guess. The free consultation and the audit exist so the number you get is scoped against something real, and so nobody pays for a build that should not be built.

Rage with the Machine is an AI education book for people who want to understand prompts, tools, workflows, and practical AI use without drowning in tech jargon.

The courses. AI Fundamentals covers the core ideas in plain English, Prompting Basics teaches the R.I.C.K. Model, and Automation with AI turns repeatable tasks into workflows.

The Builds page lists them: the AIH CRM, the HR Onboarding Agent, the Community Resource Navigator, the Credit Dispute Evidence Agent, and the Home Inventory Agent. They are shown as capability examples, not fake client claims.

Book a free consultation. Explain your workflow, problem, or idea. From there we recommend an audit, an automation, a training session, a custom build, or, if that is the honest answer, none of them.

No. We do not make fake guarantees. The work is designed to reduce friction, improve documentation, and support better decisions, but results depend on the workflow, adoption, data quality, and follow-through.

Risk gets named early and in plain English: privacy, data handling, bias, documentation gaps, and where human review belongs. That includes saying when a build is not worth the exposure it creates. The background here is healthcare operations and compliance-heavy systems, so this is not an afterthought.

Chicago and surrounding suburbs first, with remote support when the workflow fits.