AI Consulting in Savannah

GPA publishes vessel schedule and availability data through its Savannah Port Authority portal and EDI feeds that most larger freight forwarders already connect to. We build around the data you already receive — EDI 315 status messages, carrier arrival notices, customs release confirmations — rather than requiring a proprietary integration with GPA's internal systems. On the carrier and broker side, we connect to the portals your team already logs into manually: TradeLens successors, customs broker EDI pipes, and carrier tracking APIs. The automation layer sits between those data sources and your internal workflow — pulling structured data, triggering the right next step (document request, billing entry, drayage dispatch notification), and logging the outcome. TWIC credential verification for driver check-ins is handled via your existing process; we can automate the tracking and expiration alerting without touching the TSA-managed verification itself.

ITAR-adjacent work starts with a clear data boundary assessment before any build begins. We document which data classifications touch the workflow — technical data under 22 CFR Part 120, EAR-controlled commercial items, or standard business operations that happen to exist inside an aerospace company — and the build scope stays within the uncontrolled boundary unless you have explicit legal clearance to automate across it. For Gulfstream suppliers and MRO operators, that typically means automation targets are: vendor onboarding documentation (certificates, insurance, quality approvals), internal knowledge bases for standard operating procedures, and administrative workflows like PO status tracking and invoice reconciliation. The automation never touches controlled technical data, design files, or manufacturing specs. We document the data-flow diagram for your compliance team to review before go-live, and the architecture uses U.S.-based infrastructure with access controls scoped to your existing cleared-personnel list.

Seasonal swing is actually one of the clearest cases for automation. The pain isn't evenly distributed — it spikes around St. Patrick's Day week, summer weekends, and fall travel season, then drops to a fraction of that volume in January and February. Staff hired to handle the peak either sit underutilized in the off-season or get cut and then need re-onboarding the next year. The right automation targets are the tasks that scale with volume and don't require local judgment: after-hours inquiry response and booking capture, review request sequencing after checkout, reservation change handling for standard modification types, and FAQ handling for the questions every front-desk agent answers fifteen times a day during peak weeks. Those workflows run at the same cost whether it's a quiet February Tuesday or the Friday before St. Patrick's Day. The economics tend to favor a fixed automation build when a property is losing bookings to voicemail after 9pm at least a few nights a week during peak season — that's a recoverable revenue problem with a concrete number attached to it.

Georgia healthcare automation sits at the intersection of HIPAA federal requirements and Georgia's own patient privacy framework under O.C.G.A. Title 31. On the HIPAA side, any workflow that touches protected health information — patient intake forms, appointment reminders, referral coordination messages, billing status queries — requires a signed Business Associate Agreement before a line of automation is built. We provide a BAA as standard for all healthcare engagements. Georgia additionally requires that patient authorization forms meet specific state-law disclosure standards beyond the HIPAA minimum, which affects how an automated intake or consent workflow needs to be structured. For practices affiliated with Memorial Health or operating within the Savannah-area hospital system networks, there are also system-specific data governance requirements that govern how external vendors can connect to patient record systems.

Most focused builds — one workflow, done right — run two to four weeks from signed scope to production deployment. The range depends on integration complexity: a workflow that pulls from a single data source and writes to one destination is faster to ship than one that bridges a TMS, a customs broker portal, and an ERP. For port logistics operators, the discovery phase matters more than average because the data sources are more varied — EDI formats, carrier APIs, manual spreadsheet exports — and we need to confirm what's actually structured versus what's being handled by a human doing pattern recognition today. The $99 AI readiness audit is the right starting point for most Savannah operators who haven't mapped their own data flows yet. It produces a written assessment of where automation can actually connect versus where the data infrastructure needs work first, and it's the artifact that makes the subsequent build scope defensible to ops leadership rather than speculative.