Broward Strength & Performance
Double the revenue in one month.
Reported result following the website redesign and SEO/AEO work. Reflects the overall engagement.
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South Florida · English & Spanish
Silicon Key provides AI consulting and adoption support for businesses in Miami, Fort Lauderdale, and across South Florida. We assess where AI can help, review your data and software, and define a pilot before building. The engagement can continue through implementation, team training, and a measured rollout in English or Spanish.
Broward Strength & Performance
Reported result following the website redesign and SEO/AEO work. Reflects the overall engagement.
See results and case study →
ProCare Consulting · AI agent & automation
ProCare can keep prospecting and follow-up moving without the team coordinating every step by hand. That gives advisors more room to help people understand their Medicare options and make informed coverage decisions.
Read the ProCare case study →Customer experiences
Read our customers’ experiences on our Google Business profile.
Explore client projects across websites, search, AI agents, and automation. Each project has its own scope.

Website

Website, SEO & AEO

Website, SEO & AEO

Website

AI agent & automation

AI lead generation with OpenClaw
We serve businesses across South Florida, including Miami, Fort Lauderdale, Hollywood, Boca Raton, and West Palm Beach. We can review your workflow and coordinate the project in English or Spanish. Meeting arrangements and implementation scope are agreed during the consultation.
For teams asking where AI can help and how to move from a demonstration to something reliable enough for daily work. The starting point is a business problem and a way to evaluate whether the result is useful.
Potential applications include finding answers in approved documents, drafting routine communications, classifying incoming requests, or adding an assistant to an existing app. Not every problem needs AI: a clear rule or ordinary integration may be simpler. Discovery should establish the input, expected output, and cost of mistakes.
Adoption starts with the people who will use the system. Map the current workflow, choose a process owner, review software access, and define what a successful pilot must do. Give the team instructions for normal use, exceptions, and human review. Compare the pilot with a baseline such as handling time, completed handoffs, or correction rates before expanding it.
An AI feature needs relevant source material and clear access boundaries. We assess where knowledge lives, whether it is current, and which users may access it. For a knowledge assistant, retrieval from approved documents can support answers without training a model from scratch. The right approach depends on the task and the data.
A working demonstration is the beginning of evaluation. Test the feature against representative examples, ambiguous requests, and missing information. Review answer quality, response time, usage cost, and escalation behavior. Those findings help decide whether to expand, revise the scope, or use a simpler approach.
The Stein Paint project shows how Silicon Key applies AI to a defined operational need: customer outreach and follow-up with approved information and human handoffs. It is a practical example of the kind of boundaries an AI implementation needs.
Read the Miami AI case study →