SkedGo’s TripGo platform has long given apps, cities and businesses a live, multimodal view of the transport network: 4,000-plus providers, real-time feeds, crowding levels and accessibility flags all in one place. The next logical step is to let that same intelligence speak the language people increasingly use to organise their lives, with natural, conversational AI.
From ticket sale to whole-trip concierge
Ticketing providers already handle payment flawlessly; what customers need next is a companion that knows exactly how to reach the platform, which carriage has level boarding and whether a rail strike was just announced. By exposing TripGo through the open Model Context Protocol (MCP), any AI assistant—Claude today, ChatGPT and Gemini tomorrow—can call live journey data mid-conversation. A passenger moves from “Book two returns to Bristol” to “Add the fastest step-free route from the office to Temple Meads” without ever leaving your environment. The MaaS Alliance calls this shift from transaction to full travel companion the key to unlocking new revenue and loyalty.
Turn the commute into corporate culture
Large employers can already use white-label apps built on TripGo to cut late arrivals and taxi receipts while tracking Scope 3 emissions. Conversational access elevates that experience: an AI can check the diary at 7 a.m., spot a route closure and suggest a bike-train combo that still hits the 9 a.m. stand-up. Employees feel looked after; sustainability teams get hard metrics; facilities managers don’t need another dashboard.
One integration, infinite interfaces
For system integrators, MCP is the transport world’s USB-C. Implement the connector once and TripGo’s tools become instantly available inside multiple AI frameworks—Anthropic today, others as they adopt the standard. That means shorter sprints, fewer custom adapters and solutions that stay future-proof as new assistants emerge.
Inside the black box
The magic runs on a serverless MCP endpoint that translates plain-English requests (“Fastest low-carbon route to the O2 at 18:00”) into compact TripGo API calls, then hands back a lean response the AI can narrate or render on a map. Because the underlying TripGo engine already streams live disruptions, accessibility notes and crowding data, the conversational layer inherits the same reliability your users trust today—no trade-offs, just a new interface.
What comes after answers? Actions.
- Assistants that monitor diaries overnight, pre-purchase tickets and push alerts only if something changes.
- Contextual nudges that swap modes when carbon budgets approach the monthly cap.
- Integrated calendar entries where travel time adjusts automatically as real-time conditions evolve.
Ready to lead the conversation?
Whether you sell tickets, run an enterprise platform or stitch ecosystems together, you can now add conversational journey planning without rebuilding your stack. Let’s explore how this evolution can turn every itinerary into a competitive edge—while building on the rock-solid, real-time capabilities you (and your users) already rely on. Contact us to learn more.