Six AI agents.
One travel platform.
Most "AI travel" is a chatbot bolted onto a 2010 booking engine. Ours is six autonomous agents that talk to each other through MCP — booking, reconciliation, credits, traveler safety, and policy. Robert is the one your team will know by name.
Platform
A chatbot answers questions. An agent does the work.
Most corporate travel platforms launched "AI assistants" in the last 18 months. They look like chat windows — type a question, get an answer. The pattern is the same: a conversational layer sitting on top of legacy infrastructure that hasn't changed.
An agent is different. An agent has tools. It can book a hotel, void it, refund the difference, file the expense, message the traveler, and update the GL — autonomously, with audit trails. It runs on a schedule, watches for events, escalates when uncertain.
Travel Code agents work together via the Model Context Protocol — RateGuard finds savings, Robert notifies your team, Credit Recovery files the difference. Same framework, agent-to-agent, no human in the middle for routine work.
The team. Six specialists. Always on.
Each agent has its own job, its own tools, and its own audit trail. They share context with each other through MCP — so RateGuard's hotel rebooking automatically updates your accounting, and Duty-of-Care's evacuation flow loops in Robert with the right messaging.
Robert. Your travel and finance ops, on call.
Robert is the agent your travelers actually talk to. He books, rebooks, answers policy questions, generates reports, and respects every user's role and access level. He lives on every page of the platform.
What Robert can do
- Book flights, hotels, rail, and cars within your policy
- Rebook automatically on disruptions
- Answer questions about spend, budget, travelers, policy, suppliers
- Generate reports — XLSX, PDF, charts — in seconds
- Take actions: cancel, refund, escalate, message
- Respect role-based permissions: traveler, manager, director — each sees only their scope
What Robert won't do
- Make bookings outside policy without escalation
- Disclose other travelers' data to non-authorized users
- Take irreversible actions without confirmation when amount > threshold
- Pretend to know answers it can't verify (it links to the source)
Robert lives in chat, in-platform, in mobile apps, and via Slack/Telegram for teams that prefer messaging.
RateGuard. Watching every hotel booking. Forever.
You book at the best rate you can find. Then prices drop. RateGuard watches every hotel reservation after issuance. When the rate goes down, we void and rebook within the property's rules. You keep 20% (Premium) or 50% (Pro) of the savings.
Flights coming soonMost travel platforms claim "best rate guaranteed" — and most don't follow through. RateGuard makes the claim auditable. Every hotel reservation has an entry. Every refund has a timestamp, an amount, and a destination. Your finance team can export the full log to CSV.
In practice, RateGuard captures meaningful savings on a sizable share of monitored hotel reservations — every rebook is logged with the original rate, the new rate, and the audit trail attached to the booking record.
Credit Recovery.
Never lose another airline credit.
Industry data: companies your size leak $80K–$200K per year on expired airline credits. They sit in airline portals, attached to former employees, and quietly disappear at the 12-month mark. Credit Recovery hunts them down, applies them, and reassigns them when employees leave.
Auto-track
Every credit from every airline in every traveler's account, in one dashboard. Live balances, expiration countdowns, transferability flags.
Auto-apply
At search time on the same airline, the credit is offered first. If the booking happens, the credit is applied automatically. No agent intervention.
Auto-reassign
When an employee leaves, transferable credits move to the company pool — eligible for any other traveler within the airline's rules. For non-transferable credits, the agent opens a case with the airline and negotiates an exception where possible — outcome isn't guaranteed, but we try.
Three more on the team.
Policy as configuration, not code
Upload your existing 30-page travel policy as a PDF. Our agent reads it, asks clarifying questions on ambiguous rules, and configures the platform automatically — cabin restrictions, hotel caps, approval workflows, group-based rules. Average setup: 4–14 minutes.
Setup walkthrough →Receipts, line by line
Most expense platforms read receipt totals. We read every line. Coffee, room service, parking, tip — each item categorized, each VAT split, each policy violation flagged. 99.2% line-level accuracy.
See itemized OCR →Where every traveler is, in real time
Real-time traveler tracking with geo-queries. Geopolitical and weather alerts. Off-platform itinerary import via email forwarding. Crisis playbooks: rebook proposals, insurance claim drafts, evacuation contacts.
Visit duty of care →Agent-to-agent work,
via our full MCP.
Each agent runs on the Model Context Protocol — Anthropic's open standard for agent communication. They share context, hand off tasks, and complete multi-step workflows without a human in the middle.
A hotel rate drops. RateGuard sees it, rebooks within property rules, and emits an event. Credit Recovery picks it up — checks if the original booking was paid with a credit, files a refund request. Robert sees both events, generates a one-line note for the traveler and an audit entry for finance. The whole sequence takes 90 seconds. No human touched it.
This is what "AI" should mean. Not a chat box that knows your policy — a team of specialists that own their part of the workflow and finish it.
price.droppedbooking.rebookedbooking.rebooked → verifies refund routing, files airline credit if applicableexpense.updatedWhat we don't pretend.
Marketing AI is easy. Shipping it responsibly is harder. Here's what we explicitly don't do — and why.
No agent makes irreversible high-value decisions alone.
Cancellations over $X, schedule changes that affect multiple travelers, fare class upgrades — these escalate to a human. Always. The AI proposes, the human approves. Configurable thresholds per company.
No agent shares data outside its permission scope.
A traveler can't query other travelers. A manager can't see beyond their department. A guest can't see anything. Role boundaries are enforced at the agent layer, not just the UI.
No agent fakes confidence.
If Robert isn't sure about the answer, he says so and links to the source. We trained against hallucinations more than we trained for charisma.
No agent replaces your finance team.
Agents handle the volume. Humans handle the judgment. We've seen vendors pitch "AI replaces your accountant" — that's not us. Your CFO still owns the close.
Questions, answered.
Architecture, safety, sandboxing, privacy — the seven we hear most. Talk to a product specialist if yours isn't here.
Is this all just GPT or Claude wrapped in a UI? +
What happens if an AI agent makes a mistake? +
Can I see Robert before signing up? +
What does RateGuard actually do? +
Are agents available in Slack and Telegram? +
What's the privacy model — does the AI train on my data? +
See Robert and friends in your travel program.
30-min demo. We'll load your policy, show six agents in action, and send you a sandbox. No pitch.