AI That Actually Works for Florida Businesses

AI readiness depends on three things: data quality, process maturity, and team willingness. Most Florida businesses we assess have pockets of good data but lack the connected pipelines AI needs. Our AI readiness assessment gives you a concrete score across these dimensions and a prioritized action plan. Many companies are closer to ready than they think — they just need the right foundation work first.

An AI readiness assessment typically runs $8K–$15K depending on your organization's complexity. A pilot implementation ranges from $25K–$75K depending on the use case. These are investments with measurable returns — we define success metrics upfront so you can track ROI from day one. We also offer fractional AI advisory retainers for companies that want ongoing strategic guidance.

The readiness assessment takes 2–3 weeks. Data foundation work varies — sometimes a few weeks, sometimes a few months depending on your starting point. A focused pilot implementation typically takes 6–10 weeks from kickoff to production. The full journey from assessment to scaled AI capability usually spans 4–8 months. We do not rush this because a failed AI rollout sets your organization back further than starting later.

You need consistent, reasonably clean data related to the process you want to improve. For predictive analytics, you need historical records — typically 12+ months. For document processing or classification, you need representative examples. The good news: you do not need perfect data to start. Part of our process is identifying what data you have, filling gaps, and building pipelines that improve data quality over time.

It depends entirely on your use case. We work primarily on AWS (SageMaker, Bedrock, Lambda, Comprehend) for custom AI solutions, and we integrate commercial AI tools (OpenAI, Anthropic, Google) where they fit. We are technology-agnostic — we recommend what solves your problem most effectively, not what pays us the highest margin. For many Florida businesses, the right answer is a combination of custom models and off-the-shelf AI services.

Yes. We have implemented AI solutions across Florida's key industries: tourism and hospitality (demand forecasting, dynamic pricing), healthcare (document processing, patient flow optimization), logistics and distribution (route optimization, inventory prediction), financial services (fraud detection, compliance automation), and construction (project estimation, safety monitoring). Florida's industry diversity is one of the reasons we see such varied and high-impact AI use cases.

That is exactly why we start with a focused pilot rather than a company-wide rollout. We define measurable success criteria before building anything. If the pilot data shows the approach will not deliver sufficient ROI, we pivot or stop — and you have spent $25K–$75K learning something valuable, not $500K on a failed transformation. Our structured process is specifically designed to fail fast and cheap when an approach is not working.