6 planning now
18
Active trips
AI travel intelligence for teams, families, and frequent travelers
Chronicle
Plan personalized itineraries with RAG-grounded destination knowledge, deterministic constraint checks, traveler profiles, risk scoring, and policy approvals in one operating dashboard.
Planning command center
Today's operations
18
Active trips
6 planning now
0.32
Avg. risk
Low exposure
74%
Cache hit rate
$418 saved
91%
Policy pass
3 need review
Next itinerary
Paris + Amsterdam
$2,180 Risk 0.71 7 days
Operations dashboard
See every planning signal at a glance
Low exposure
0.32
Avg. risk
$418 saved
74%
Cache hit rate
3 need review
91%
Policy pass
Planning quality
Retrieval, constraints, and profile match for current runs.
RAG relevance4.6/5
Constraint fit87%
Preference match94%
System status
Qdrant retrievalHealthy
Constraint solverPassing
Claude cacheWarm
Policy engineDraft mode
Traveler profiles
Preferences that shape every itinerary
Chronicle keeps explicit preferences, travel history, constraints, loyalty details, and profile freshness together so planning can adapt to different people without rewriting the app.
Budget tier
Per traveler controls
Trip memory
Past plans embedded
Accessibility
Route-aware constraints
Tenant scope
Profile isolation ready
Maya Chen
Enterprise traveler · San Francisco
Quiet hotels, direct flights, vegetarian dining
Jordan Ellis
Leisure planner · Austin
Museums, local food, flexible budget
Ari Patel
Family coordinator · Chicago
Accessible routes, short transfers, parks
Planner workspace
Compare candidates before sending anything
Tokyo + Kyoto
High retrieval confidence
Budget
$3,420
Risk
0.24
Paris + Amsterdam
Approval required
Budget
$2,180
Risk
0.71
Lisbon
Weather check pending
Budget
$1,640
Risk
0.29
Hybrid retrieval
Qdrant and graph context are ready for destination intelligence.
Constraint checks
Budget, time windows, and feasibility stay deterministic.
Enterprise policy
Approval states and compliance outcomes are first-class UI elements.