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TRAVEL & HOSPITALITY

Experience is decided in the moments nobody gets to.

Bookings, changes, disruptions and after-sales arrive in peaks. AI helps when it holds the standard of service exactly where volume erodes it today.

THE STARTING POINT

A hotel, an airline or a tour operator lives on moments: the question before booking, the last-minute change, the disruption during the trip, the complaint afterwards. Each one is short, specific and depends on information spread across reservations, policies, fares and suppliers.

Service degrades because of volume, not because judgment is missing. And the judgment exists: it sits with the most experienced people. Turning it into something searchable and applicable in the moment is the transformation; changing the service channel is not.

WHERE WE SEE OPPORTUNITY

Six fronts where AI changes the work, not just the tool.

Pre-booking service

Answer on availability, terms and policy from current information.

Changes and disruption

Assemble the whole case — booking, policy, history — before a person decides.

After-sales and complaints

Classify, check against policy and draft the response with the exception flagged.

Content and distribution

Descriptions, terms and channel or market adaptations, against your own rules.

Operational knowledge

Procedures, standards and escalations searchable by the team on shift.

Voice of the guest

Turn reviews and surveys into actionable themes by property, route or season.

WORKFLOWS WE REDESIGN

The real work where the change happens.

WHICH TECHNOLOGY, AND UNDER WHAT CONTROL

The capability is chosen after the problem.

Agents with a bounded scope and an explicit exit to a person, retrieval over current policy and terms, and case classification with the exception flagged. Nothing that commits a compensation or a policy exception is resolved without a human decision.

WHAT GETS MEASURED

Indicators that say whether something actually changed.

FIRST RESPONSE

How long the first useful contact takes.

RESOLVED WITHOUT ESCALATION

What share of cases closes at first level.

RESOLUTION TIME

How long a case runs end to end.

CONSISTENCY ACROSS SHIFTS

How much the standard varies with who is on duty.

RECURRING THEMES

How many repeat causes are closed each period.

These are the measures we propose for this industry, and the baseline is set before anything is built. We do not publish third-party results.

HOW BECOME CAN START

Three entry points, depending on what is already resolved.

CONTINUE HERE

RECOMMENDED SERVICE

BECOME EMBED™ — Build & Embed Sprint

Build and embed an AI-native capability into the operation.

WHAT IS USUALLY BEHIND IT

ENABLEMENT BY AREA

THE METHOD

Six stages and five systems: how we take an industry from ambition to value.

TECHNOLOGY

Vendor-neutral by design.

We don’t start with a model or a vendor.

We select technology based on the use case, data, risk level, architecture and your organization’s standards.

Depending on your approved environment, a solution may combine ChatGPT/OpenAI, Claude/Anthropic, Gemini/Google, Microsoft Copilot, other LLMs, APIs and enterprise tools.

Technology changes. Capability should remain.

OTHER INDUSTRIES

The question is the same. The answer changes.

Financial services

Banking, insurance, fintech and asset management.

Mining & Energy

Asset-intensive operations, safety and compliance.

Retail & Consumer

Assortment, pricing, content and service at weekly speed.

Start with the moment where service breaks today.

Tell us your organisation’s context. We reply with the right starting point, not with a sales sequence.