We delivered an AI Wedding Planner that coordinates every vendor, timeline, and decision for a couple planning their Lowcountry wedding

A couple got engaged in December and set a date for October — ten months to plan a two-hundred-person wedding across multiple Lowcountry venues while both working demanding jobs and living three hours from Charleston. Within weeks they had a florist sending mood boards by email, a caterer requesting tastings by text, a venue coordinator communicating through a portal, a band manager who only took phone calls, a photographer requesting shot lists through a shared Google Doc, a rental company quoting through PDF attachments, and a day-of coordinator asking for a master timeline that did not exist yet. They were making decisions in fifteen-minute windows between meetings with no system to track what had been decided, what was still pending, and what deadlines were approaching. They had already accidentally double-booked a tasting with a cake appointment, forgotten to return a signed contract before a vendor released their date, and discovered two weeks late that their preferred rehearsal dinner venue required a deposit by a date that had already passed. We built them an AI Wedding Planner that now runs every moving piece. It ingested their venue contracts, every vendor proposal and communication thread, their guest list with dietary restrictions and lodging needs, their budget spreadsheet, and the rough vision they had described in scattered Pinterest boards and text messages to each other. For vendor coordination it now maintains the single source of truth on every agreement — signed and pending — with every vendor. It knows that the florist needs final centerpiece counts eight weeks out, that the caterer requires a guaranteed headcount four weeks before, that the rental company needs a final layout three weeks prior, and that the band requires a do-not-play list and ceremony song selections by a specific date. It surfaces each decision to the couple at exactly the right time — not too early to be abstract, not too late to be stressful — with the context they need to decide quickly. When a vendor sends an email, the AI parses it, updates the relevant timeline, drafts a response for the couple to approve, and flags if anything conflicts with another vendor's requirements. For budget management it tracks every quote, deposit, installment, and remaining balance across twenty-three vendors. When the couple considered upgrading their bar package, the AI immediately showed them the ripple effect — the upgraded package plus required additional bartender staffing plus extended liability insurance exceeded their beverage budget by four thousand dollars, and it suggested two alternative packages from the same caterer that delivered a similar experience within budget. It caught that the rental company had invoiced them for chairs they had removed from the order two months earlier and drafted a correction request with the original change confirmation attached. For guest management it maintains the full picture — who has RSVPed, who has not, who needs hotel blocks, who has dietary restrictions the caterer needs to know about, who is in the wedding party and needs rehearsal dinner details, which guests are arriving early and might attend a welcome event. When RSVPs came in it automatically updated the caterer's headcount tracker, adjusted the seating chart constraints, and flagged when table assignments needed attention because a guest had indicated a restriction that conflicted with their current table placement. For the wedding weekend itself it produced a minute-by-minute timeline that coordinated arrival times for every vendor, setup sequences for the ceremony and reception spaces, the photography schedule mapped against the event flow, transportation logistics for the wedding party between venues, and contingency plans for the weather-dependent outdoor ceremony. The day-of coordinator told them she had never received a timeline that thorough from a couple — it was the document she would normally spend thirty hours building herself. The couple went from feeling buried and reactive to making one or two quick decisions per week while the AI handled sequencing, communications, and conflict resolution across every vendor relationship.