XeedlyAI
Platforms Deployed
0
Signals Processed
0
last 30 days
Active Verticals
0
restaurants • property
Avg Response
< 3s
signal to delivery
Events Ingested
0.0K
cross-platform
Deployment Brief

Sovvrn

RESTAURANT INTELLIGENCE

AI-native business intelligence for multi-unit restaurant operators. Morning briefings, voice AI transcription, command center with cross-system signal detection.

Deployment Metadata
STATUS
LIVE
BUILD TIME
8 weeks
STACK
Next.js · Supabase · Claude · Vapi · ElevenLabs · Twilio
DEPLOYED
sovvrn.vercel.app
DELIVERY
Email · SMS · In-App
AI SYSTEMS
Voice · Coaching · Briefings
The Problem

Signals detected before the deployment.

Dashboard overload
pre-deployment

Multi-unit operators managing 5+ systems (POS, labor, reviews, scheduling, voice). Each system has its own dashboard. Managers on the floor can't check dashboards during service.

Reactive operations
pre-deployment

Problems discovered after the fact. Tuesday's labor issue found on Wednesday. Revenue anomaly spotted at end of week. No proactive alerting.

Phone calls as dead data
pre-deployment

Hundreds of inbound calls per week transcribed by no one. Customer sentiment, missed call patterns, staff issues — all invisible.

The Deployment

The systems built and wired together.

POS + LABOR + REVIEWS + VOICE
ingest
SIGNAL ENGINE
correlate
BRIEFING · COMMAND CENTER · VOICE AI
deliver

Morning Briefing

AI-generated daily intelligence delivered before first shift. Six sections: Revenue Health, Cost Position, Operations & Guest Experience, Voice Intelligence, Review & Marketing Intelligence, Today's Priorities. Day-anchored header, health trend indicators.

6 sectionsPre-shift deliveryHealth trends

Command Center

Three-panel signal feed. Active signals, flagged items, resolved/dismissed history. Full traceability from signal to source event.

Signal feedTraceability3-panel

Voice AI

Vapi + ElevenLabs + Twilio. Every call transcribed, analyzed, converted to intelligence. Missed call recovery. Sentiment detection. Staff coaching signals.

VapiElevenLabsTwilio

Cost Intelligence

Four-system confidence model: day-of-month calculation, adaptive gauge visuals, calendar-aware AI coaching rules, historical comparison overlay.

Confidence modelDay-of-monthCoaching rules
The Stack

What powered the deployment.

Next.jsSupabaseClaude SonnetVapiElevenLabsTwilioshadcn/uiFramer Motion
The Outcome

What landed in production.

Delivery
Morning Briefing
Channels
0
AI
Voice+Coaching
Signals
Cross-system
Status
LIVE
Morning briefing operational
outcome

Six-section AI briefing delivered daily. Revenue health, cost position, operations, voice intel, review intel, priorities.

Voice AI live
outcome

Every call captured, transcribed, analyzed. Phone becomes a data source, not just communication.

Three-tier delivery
outcome

Glance (KPI tickers), Briefing (daily intelligence), Deep (command center + AI chat). Full implementation of the XeedlyAI intelligence stack.

The Intelligence Layer

How the XeedlyAI IP applies here.

Sovvrn was the first deployment of the XeedlyAI intelligence architecture. It proved the thesis: ingest events from every operational system, detect cross-system patterns, deliver proactive intelligence to operators who are too busy for dashboards. The morning briefing — delivered before the first shift starts — is the signature delivery mechanism. Voice AI turned the telephone into a data source. The command center gives operators investigative depth when they need it. Same architecture, proven first in restaurants, now deployed across property management and investment.

Same architecture. Your vertical.

We've deployed intelligence platforms in property investment, property management, and restaurants. Yours could be next.

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