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GetOffers.com: Making business travel simpler

30 October 2026 at 10:00

Before GetOffers.com, I worked in travel tech for several years. I started in customer support and later moved into sales. In both roles, I kept hearing the same complaints from business clients: a service fee was added to every ticket, and companies paid it because nobody had offered them another way to book.

Smaller firms had it worse. Most corporate travel tools were designed for large organisations, so a company of 40 people would end up booking through consumer websites. At the end of the quarter, the finance team had no clear picture of what had been spent or why.

There is no shortage of flights or hotels. What companies were really paying for was a chain of intermediaries, each adding its own margin, with no one competing for the booking.

We launched GetOffers.com this year to give businesses net rates. A company describes the trip in one message, and competing offers from suppliers come back in the same conversation, alongside approval rules and reporting. Because we started recently, we could build the product around an AI assistant from the beginning.

A model for three markets

Large online travel agencies are built for people booking holidays. Established corporate platforms mostly serve large enterprises, with the pricing and implementation time that come with that. A mid-sized company that travels frequently but has no travel manager doesn’t really fit either model.

We work with three groups. Companies get net rates and can set travel policies, approve trips and see reports in the same place. Connecting is free, and in our standard model, we don’t add a GetOffers booking fee. We make our money through agreements with suppliers, including revenue sharing. The customer should see the full price and the supplier’s terms before approving the trip.

Travel agencies use the platform to build trips from net rates. The assistant assembles the whole trip from competing supplier offers, usually the most time-consuming part of a manager’s work, and the agency keeps its margin.

Hotels can offer guests transfers, excursions and eSIMs directly, without paying commission to an intermediary.

For clients, this mainly means lower prices and less time spent on bookings. For us, it means we don’t depend on a single type of customer.

Where AI helps

You can speak to the assistant or type to it at any time. A typical request might be: “I have a meeting in Limassol on Tuesday morning, I need to be back on Wednesday evening, and it has to be within our policy.”

The assistant puts competing offers side by side and highlights the one that fits best. Once the traveller or their manager agrees, it books everything, including the flight, hotel and airport transfer.

Before booking, though, it should ask about things you might not have mentioned. Are you taking equipment with you? Will you be arriving at the hotel late? Those answers could change what it recommends. I’d rather it asked than left you to sort out a problem when you get there.

At the moment, it’s most useful for routine work: searching, comparing prices, combining several services into one trip and checking everything against company rules. When a trip is complicated or something unusual comes up, a person still needs to make the decision. We tell clients that from the start.

Over the next five years, I expect assistants to do more before and after booking. If a team is going to a trade fair and nearby hotels are filling up, the assistant should warn them while rooms are still available.

With cancellations, it gets harder. A replacement flight might get you to the right city, but too late for the meeting. The hotel and transfer may need changing, too. That’s the work I’d like the assistant to take on, with the traveller agreeing to any changes in price or booking conditions.

Expense reporting will change as well. Most reports should be generated from booking data, so employees don’t have to collect receipts after every trip.

I don’t expect travel agents to disappear. Those who use these tools will be able to handle more clients, putting pressure on those who don’t.

Earning clients’ trust

GetOffers.com launched this year, and we’re not publishing figures yet. It’s too early for the numbers to say much.

The hardest part so far is getting companies to trust us with their travel. Some have used the same agency for years. Their agent knows who prefers an early flight, who approves the budget and who to call when plans change. I understand why they wouldn’t switch on price alone. We have to show we understand how they work and that moving their bookings to us won’t mean more work for them.

Working with three types of clients also makes growth harder to plan. Companies come to us for prices and choice, while suppliers want to see booking volume before offering good rates. We’ve already signed agreements with several major wholesalers, which lets us offer competitive prices before volume builds up.

Every client comes to us through direct conversations, and each one teaches us something about the product. The clients most open to trying it are independent agencies, whose managers spend hours assembling trips by hand, and mid-sized firms that travel internationally but have no one dedicated to travel. Both feel the problem most directly, so that is where we are focusing.

Growth plans and Cyprus

In three years, I’d like GetOffers.com to be the first place a travel agency or a company without a travel department goes when they need to put together a trip.

We’re currently concentrating on the product and our first clients. We’ll consider raising money when there’s a clear need for it, and we’re happy to talk to investors who know the travel sector. We plan to expand into new markets as client demand appears, rather than following a fixed timetable.

On the product side, we want the assistant to handle more of the trip after booking. That includes dealing with delays and cancellations, recording expenses automatically and connecting through our API to the accounting and HR systems companies already use.

Cyprus is an important market for us. It has been a difficult year for tourism here, and hotels are looking closely at every source of revenue. Services beyond the room, such as transfers or activities, can make a real difference. Hotels should be able to sell them without giving a large share to intermediaries.

The hotel association has just called for AI to become part of the national tourism strategy. I agree, but for smaller hotels, the tools have to be affordable and simple to set up. Otherwise, only the large chains will benefit.

Business travel is the other part of the picture. Limassol and Larnaca are home to many international companies whose staff travel constantly and the government is now supporting conference tourism outside the summer months. Business trips and events help hotels fill rooms in the quieter season, and that is where we would like to be useful.

https://getoffers.com/

How AI is changing the way lawyers work in Cyprus

30 October 2026 at 08:40

Artificial intelligence is beginning to reshape the legal profession, with law firms increasingly exploring how emerging technologies can improve research, document analysis and other aspects of legal work without compromising professional judgement.

Speaking to the Cyprus Mail for the latest issue of Cyprus 4.0, Elias Neocleous, managing partner of Elias Neocleous & Co. LLC, explained that the development of NeoLaw.ai reflects a longer-term effort to integrate technology into legal practice rather than a response to the recent AI boom.

Developed as an internal legal support environment, NeoLaw.ai is intended to assist lawyers with research, complex documentation, case preparation, preliminary risk analysis and routine administrative work.

Neocleous argued that the value of AI lies not in replacing legal expertise, but in freeing lawyers to concentrate on areas where human judgement, creativity and professional responsibility remain essential.

The discussion also examined the safeguards required when AI is used in a profession where accuracy and confidentiality are fundamental, as well as the potential for Cyprus to develop into a regional hub for technology-enabled professional services.

Looking ahead, Neocleous considered how AI could gradually change the delivery of legal services and why the future of LegalTech may ultimately involve rethinking the role of the lawyer itself.

What problem in the legal sector led you to create NeoLaw.ai, and what gap were you trying to address that existing legal tools could not adequately solve?

The origins of NeoLaw.ai predate the recent surge of interest in large language models. Its development was not a reaction to technological fashion, but a continuation of a long-standing philosophy: that the legal profession must evolve in step with the broader trajectory of human progress. Automation, in various forms, has shaped industries since the industrial revolution; artificial intelligence represents simply the next phase of that continuum.

From our perspective, the gap was not merely technological, but conceptual. Existing tools often approached legal work as a process to be accelerated, rather than a discipline to be enhanced. Our objective was different. We sought to create an environment in which our lawyers are empowered – freed from repetitive tasks, yet supported in exercising judgement, creativity and precision.

Ultimately, NeoLaw.ai was designed not as a substitute for legal expertise, but as a mechanism to elevate it, ensuring that we serve our clients with greater clarity, consistency and foresight.

For someone encountering NeoLaw.ai for the first time, how does the platform work and what can it do for lawyers or legal teams in practical terms?

NeoLaw.ai is designed as an integrated legal support environment, embedded within the daily workflow of our lawyers rather than operating as a detached tool. In practical terms, it enables in-depth legal research across multiple sources, assists in the review and analysis of complex documentation and supports case preparation through structured insights and references to relevant case law.

It can also provide preliminary risk analysis, helping legal teams to identify potential issues at an early stage and contributes to the automation of routine administrative tasks that would otherwise consume valuable time.

Importantly, its development is not static. NeoLaw.ai evolves in parallel with our firm’s broader commitment to continuous improvement. Each use case informs further refinement, ensuring that the platform becomes progressively more aligned with the realities of legal practice and the increasing demands placed upon it.

What role does artificial intelligence play within the firm, and how have you approached issues such as accuracy, reliability and the risk of AI-generated errors in a legal context?

Artificial intelligence occupies a central, but carefully defined, role within the firm. It is not viewed as an autonomous decision-maker, but as a tool that enhances the capabilities of experienced practitioners. Accuracy and reliability are therefore not secondary considerations – they are foundational. Every output generated through NeoLaw.ai is subject to review by our legal professionals, ensuring that judgement remains firmly in human hands.

We approach this as a co-existing relationship: the system supports our lawyers, while our lawyers continuously refine and train the system through informed use. This dynamic mitigates the risk of error while strengthening the overall quality of output. In a legal context, where precision is inseparable from responsibility, such safeguards are essential. The objective is not simply efficiency, but the preservation- and enhancement – of professional integrity.

LegalTech is developing rapidly internationally. Where do you believe NeoLaw.ai can differentiate itself from the growing number of AI-powered legal tools entering the market?

NeoLaw.ai distinguishes itself not by attempting to compete with every emerging LegalTech solution, but by being deliberately and precisely tailored to the realities of our own practice. It has been developed around our internal processes, structures, templates and accumulated institutional knowledge – elements that no external platform, however sophisticated, can fully replicate. In that sense, its primary advantage lies in its alignment with how we actually work, rather than how legal work is generically modelled.

Equally important is our underlying approach. We have not built NeoLaw.ai with commercialisation as the driving force, but with a practical question in mind: how can this system meaningfully enhance the quality and efficiency of our legal services? This inward focus allows for a level of refinement and adaptability that would be difficult to achieve otherwise.

Finally, the platform is hosted entirely on our internal infrastructure, ensuring the highest standards of confidentiality and data security – an essential consideration in the legal profession.

What have you learned from developing and bringing NeoLaw.ai to market so far, particularly from working with lawyers and other users who are adopting AI into their professional workflows?

What the development of NeoLaw.ai has revealed, perhaps more than anything else, is that technological progress is ultimately a human question. The success of such an initiative depends less on the sophistication of the tool itself and more on the willingness of people to engage with it. It requires a team with vision-one that does not merely tolerate change, but recognises it as a constant parameter of professional life. In that sense, we have not sought to “invent” technology, but to thoughtfully integrate it into our existing systems.

Equally instructive has been the pattern of adoption. Even within a large and forward-looking organisation, the familiar dynamics of the bell curve apply – early adopters lead, others follow more cautiously. This has reinforced the importance of structured implementation and internal dialogue.

Perhaps most importantly, the process has sharpened our understanding of what truly matters in legal practice: distinguishing enduring value from operational noise, and identifying where change is genuinely necessary.

Do you see Cyprus developing a significant LegalTech ecosystem of its own, and what would need to happen for the country to become a stronger regional hub for legal technology and innovation?

Cyprus is unlikely, at least in the near term, to develop a LegalTech ecosystem on the scale of larger jurisdictions such as the United Kingdom, the United States, or key Central European markets. These are environments where the sheer volume and international reach of law firms create the natural demand that drives large-scale LegalTech innovation. By comparison, the Cypriot legal market is more focused and specialised, which inevitably shapes the direction and scale of technological development within it.

That said, the broader technology ecosystem in Cyprus is stronger than it has ever been. The entry of globally recognised innovation platforms, such as Plug and Play Tech Center, signals a meaningful shift. Combined with Cyprus’ strategic location, regulatory alignment with the European Union, and an increasingly sophisticated professional services sector, this creates a compelling foundation.

Rather than leading in LegalTech production, Cyprus is well positioned to emerge as a regional hub for technology-enabled services-where innovation is applied, refined, and integrated into high-value professional practice.

Looking beyond the current product, what opportunities do you see for AI to transform the legal profession over the next five years, and where do you expect NeoLaw.ai to fit into that transformation?

Over the next five years, artificial intelligence is likely to reshape the legal profession not through sudden disruption, but through gradual and structural refinement. The more routine aspects of legal work – research, document analysis and process management – will increasingly be absorbed by intelligent systems. This will not diminish the role of the lawyer; rather, it will reorient it towards judgement, strategy, and the exercise of professional responsibility.

The more important question, however, is not what AI can do, but how it is governed and integrated. The legal profession carries an inherent duty to uphold trust, accuracy, and accountability-principles that must remain intact as technology advances.

Within this transformation, NeoLaw.ai will continue to evolve as an internal framework that supports our lawyers in meeting these obligations. Its role is not to redefine the profession, but to ensure that we adapt to change without compromising its core values.

What makes you believe the future of LegalTech is not simply about automating existing legal processes, but about fundamentally rethinking how legal services are delivered?

The future of LegalTech cannot be confined to the automation of existing processes, because the legal profession itself is not merely procedural. At its core lies the role of the lawyer as a trusted advisor – someone who navigates complexity not only through technical knowledge, but through relationships built on trust, continuity and understanding. These relationships are not incidental; they are the foundation upon which effective legal counsel is delivered.

In parallel, lawyers often play a quiet but essential role in shaping legislative and regulatory frameworks. Through sustained engagement with institutions, policymakers and market participants, they contribute to the refinement of laws in a way that reflects practical realities. This is a function that cannot be automated – it requires judgement, dialogue and credibility developed over time.

Technology, therefore, must be understood as an enabler. By relieving lawyers of routine burdens, it allows them to invest more meaningfully in these higher-order functions: advising with clarity, fostering trust, and contributing to the evolution of the legal and regulatory environment itself.

Website: https://neo.law

LinkedIn page: https://www.linkedin.com/company/elias-neocleous-&-co-llc?originalSubdomain=cy

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