Arrivals
When is the next arrival for the 574 at stop ID 2228?
The next arrival for route 574 at Greensboro Dr @ The Rotonda (Stop Code 2228) is at 2:23 PM.
Transit AI Agent
A rider assistant that feels finished, branded, and ready to ship
Give riders natural-language answers about arrivals, alerts, nearby stops, and trip context. The experience stays grounded in your transit data while looking like part of your agency site.
Sample Interactions
What riders can ask in one conversation flow
Real rider questions, answered with live transit context
Travel Timing
is it a good time to travel?
The current weather at your location is scattered clouds with a temperature of 75°F.
There is no rain expected, so it should be a good time to travel! ☀️
Nearby Stops
Are there any bus stops near me?
Yes, there are a couple of bus stops near your current location:
- Route 29 @ Escridge Rd (Eb) - Stop Code 6553. This stop is about 96 meters from you.
- Route 29 @ Merrilee Dr (Wb) - Stop Code 6554. This stop is about 105 meters from you.
Trip Planning
Plan a trip from Alesig Consulting LLC to Tysons Corner Mall
Here is your trip plan from Alesig Consulting LLC to Tysons Corner Mall:
Total travel time: 33 minutes, covering 4.6 miles.
- Walk 0.5 miles to Gallows Rd at Route 29.
- At 2:22 PM, board the Fairfax Connector 401 bus towards Tysons West Park.
- Arrive at International Dr & Tysons Corner Ctr at 2:37 PM.
- Walk 0.3 miles to Tysons Corner Center.
Weather: Scattered clouds, 75°F
Agency Controls
More than a chat box
The product already supports branding, embeds, analytics, and agency-level configuration. This section keeps that story clear and concise.
- Branded header so the agent feels like your site.
- Route, stop, and alert awareness so answers stay relevant to service conditions.
- Clean embed story for marketing pages, stop detail pages, and rider support hubs.
- Internal analytics and dashboard language that supports agency teams, not just riders.
Data-backed
Real arrival context
Answers can refer to upcoming departures instead of generic static FAQ text.
Alert-aware
Disruptions in context
The assistant can surface service problems inside the conversation where riders already are.
Accessible
Mobile-friendly interaction
A clear conversational layout works well on smaller screens without forcing riders through menus.
Deployable
Website-ready placement
The experience is framed as something agencies can actually embed, launch, and maintain.
Example Placements
See the assistant in context
Two examples showing how the rider experience works on desktop and mobile.
Desktop Experience
A rider asks naturally and gets an answer grounded in live transit data
The assistant works like a support conversation, not a search form. Riders type a plain-language question, and the agent turns it into route, stop, arrival, weather, or trip-planning context in one place.
- Natural-language questions remove the need to know route codes, menu paths, or internal transit terminology.
- Answers can blend live arrivals, stop details, and service context into one response instead of forcing multiple page visits.
- The presentation still feels branded and polished enough to live inside a public-facing agency site.
Mobile Experience
The same experience stays usable on a phone while riders are already in motion
On mobile, the AI agent keeps the interaction simple: a clear prompt, a focused answer, and suggested follow-up questions that help riders keep moving without digging through pages.
- Suggested prompts help riders start quickly even when they are stressed, distracted, or unfamiliar with the system.
- The compact layout keeps the answer readable on smaller screens without losing the important trip details.
- That makes the assistant useful in the exact moments riders often need help most: while walking, waiting, or transferring.
Ready to add the AI Agent to your site?
We can show what the assistant looks like with your routes, stops, and brand language.