24/7 member concierge across voice and text — without adding a single CSR.
A marine-trained voice and chat agent that handles reservations, service intake, and membership questions at every hour your dock staff can't.
The problem
What operators actually say.
“Members call on Saturday mornings when every CSR is on the water or off for the weekend.”
“Reservation questions, membership changes, and service intake all land in the same voicemail.”
“Dock managers spend the first hour of Monday clearing missed calls.”
How it works
Three steps from install to live.
Step 1
Connect your lines
Route existing phone numbers and chat widgets to the BoatTech agent.
Step 2
Train on your playbook
We encode your reservation rules, membership tiers, and service categories.
Step 3
Go live with a human handoff
The agent answers, takes action, or routes to a human when it should.
What's inside
Everything in Voice & Chat AI.
Marine-vocabulary prompt
Understands PDI, haul-out, transient, reciprocity, commissioning — no translation layer required.
Multi-channel
Voice, SMS, and web chat share the same context and member record.
Reservation-aware
Reads availability from your reservation system in real time and confirms bookings.
Service intake
Captures symptoms, vessel, and urgency, then opens a ticket in MarineOps AMS.
Weekly digest
Email summary of call volume, categories, escalations, and resolution rate.
Human escalation
Warm handoff to an on-call dock manager for anything the agent shouldn't handle alone.
The AI moment
The AI moment
Retell AI voice agent with a custom marine-vocabulary prompt; routes reservations, service intake, and membership questions; emails weekly summaries. Customer data is never used to train foundation models.
Built on real operations
Proven at Freedom Boat Club Northeast Florida.
Running live at Freedom Boat Club Northeast Florida across five docks. Off-hours call handling moved from voicemail to same-minute resolution.
Related tools
Works with the rest of the platform.
SOC 2 Type I in progress. AES-256 at rest, TLS 1.3 in transit. Customer data is never used to train foundation models.