Hey Travel-Tech & Tourism Pros,

€99 beta for May • 3 slots this week

A 48-hour paid diagnostic for B2B travel tech teams. I find where LinkedIn is leaking clarity, trust, or sales conversations across positioning, profile, Featured, content, CTA, and DM + follow-up.

You get:

48h delivery starts after you confirm the spot and send the required inputs.

To get the €99 teardown details and check fit:

DM me TEARDOWN, and I’ll reply with the 5-question fit check, what inputs I need, and the payment step.

Source & Date: Skift - May 11, 2026

AI is influencing travel shortlists earlier, during discovery, not only at checkout. This blurs marketing and distribution because being recommended becomes part of distribution itself.

Travel brands can lose demand before the funnel even starts. Travel tech teams can win by helping brands become AI-visible and AI-ready with structured proof and clean paths to booking.

Use this to write one post that reframes distribution as AI recommendation surfaces and lists 5 buyer questions that reveal readiness.

Build a one-page AI visibility pack for one category (hotel, tour, mobility): what to surface, what to prove, and how to drive to booking.

Prompt: Create an AI visibility pack for our product: 10 facts AI should know, 5 proof points, 5 common objections, and the one booking path we want AI-led discovery to drive.

Source & Date: Amadeus - May 12, 2026

Amadeus shared research on traveler interest in AI support across mobility journeys, focused on reducing friction and improving relevance.

Brands fund AI when it removes friction and reduces service load. Travel tech can sell mobility intelligence when it ties AI to a measurable outcome.

Use this to pitch one friction moment you fix and the KPI you improve, instead of selling generic AI.

Pick one friction moment (delay, missed connection, reroute) and define the AI action path plus human fallback.

Prompt: Map one mobility friction moment end-to-end: what the AI detects, what it recommends, what it books, what it asks the user to approve, and what gets logged.

Source & Date: PR Newswire - May 12, 2026

Trip.com highlighted AI and digital identity as drivers of aviation modernization, including safer personalization and smoother servicing.

Identity is a trust layer for automation. If a system can’t verify identity, permissions, and policy, it shouldn’t execute actions.

Use this to add one identity + permissions section to your deck so buyers see how your system stays safe.

Define your identity moments (booking, check-in, disruption, refund) and what must be verified before AI can act.

Prompt: Create an identity-first execution checklist: what must be verified at booking, pre-trip, in-trip, and post-trip, plus the minimum safe actions allowed at each stage.

Source & Date: FCM Travel - May 12, 2026

FCM announced global activation of its AI assistant Sam, emphasizing guardrails, trusted sources, policy controls, and privacy-safe deployment.

Corporate travel buyers want controlled execution, not uncontrolled outputs. This is becoming the standard evaluation lens.

Use this to rewrite your AI messaging into three bullets: what it does, what it won’t do, and what gets logged.

Add a policy proof slide to every demo: show one real policy rule and how the system enforces it.

Prompt: Write a policy-proof demo script: pick one policy rule, show how AI checks it, blocks out-of-policy options, and logs the decision.

Source & Date: Travel Weekly - May 13, 2026

Amex GBT framed the deal as a mix of platform, marketplace, relationships, data, and applied AI, with a continued push toward digital transactions and servicing.

In corporate travel, AI wins when it cuts time-to-book and time-to-resolve. Buyers pay for outcomes, not feature lists.

Use this to anchor your positioning around one measurable workflow metric (speed or service), not generic AI claims.

Create a benchmark sheet for one workflow: baseline vs target and what must change to hit it.

Prompt: Create a KPI benchmark sheet: baseline vs target time-to-book and time-to-resolve, plus integrations and guardrails required.

Source & Date: PhocusWire - May 14, 2026

Ixigo launched a rebuilt app with conversational flows and opt-in automation for small tasks such as sending boarding passes and updating wallet passes.

Opt-in, low-risk actions are how AI earns user trust. This is a pattern brands can copy without overreaching.

Use this to pick one low-risk opt-in action you can ship and position it as trust-building.

Ship one opt-in agentic action end-to-end with permissioning and logging first.

Prompt: Design one opt-in agentic feature: trigger, permissions, action steps, user notifications, logging fields, and the KPI for adoption and reduced support tickets.

Source & Date: PhocusWire - May 14, 2026

The piece frames NDC and MCP as different layers: NDC standardizes airline offers/content, while MCP can help AI systems access tools through standard interfaces.

Normalization becomes a competitive edge as AI increases demand for faster integrations and consistent actions.

Use this to publish one plumbing post that explains why normalization matters and gives buyers a checklist to evaluate vendors.

Create an action normalization plan: what varies by partner, what must be standardized, and how you monitor failures.

Prompt: Draft an action normalization plan for airline retail: top 10 actions, what varies by partner, normalized fields, and monitoring rules for failures and retries.

AI in travel is shifting from better answers to controlled execution. If your product can show actions, permissions, policy enforcement, and logging, you turn visibility into buyer trust. If it can’t, buyers delay decisions or choose vendors that can prove reliability.

All third-party articles referenced are credited to their original publishers and linked for full context. AI Tourism Innovator provides curated summaries and strategic commentary for travel tech and tourism professionals.

Kind regards, Ivan Ivanovic - AI Tourism Innovator | Visit my website