AI Research
How travel agents can use AI for smarter research and planning

In 2025, knowledge isn’t power unless it’s fast, searchable and ready to go. That means setting up an AI system that works while you do. With the right prompts and tools, agents can turn supplier updates, training resources and destination news into a living knowledge bank, always available and always one step ahead.
Here’s how to set up a smarter AI-powered research workflow that keeps your value front and centre.
Get there before the client does
Clients are arriving with AI-built itineraries in hand. Agents need to outsmart, outpace and out-customise them with research that shows real insider clout.
Step-by-step:
- Track destination and product updates automatically: Set up Google Alerts, Feedly or Flipboard for key destinations, suppliers, and sectors. These tools will continuously scan the web and feed relevant updates into your inbox or dashboard.
- Summarise supplier training or long reads: If you attend a webinar or receive a detailed famil report, drop the transcript or notes into ChatGPT. Use prompts like: “Give me five key takeaways from this South Africa famil for agents selling to luxury travellers.” OR “What’s the main advice from this training for honeymoon specialists?”
- Segment findings by traveller type: Ask ChatGPT to break down the insights based on client profiles. Prompts could include: “Summarise this itinerary for solo travellers.” OR “Highlight the family-friendly elements in this Fiji supplier brochure.”
- Organise the outputs: Copy useful AI outputs into your own research library: a shared Google Doc, Notion page, or CRM notes section, categorised by destination, client type or travel style.
- Schedule a weekly AI catch-up: Block 30 minutes a week to feed any new material (emails, brochures, event notes) into ChatGPT and extract insights. Regular input equals better future outputs.
This setup might take time at the start, but once it’s rolling, it becomes your behind-the-scenes researcher.
Set up smart supplier research systems
Feed ChatGPT the PDFs, brochures and supplier docs you’re already collecting. Use it to extract what matters fast. You can:
- Speed-read documents: Drop a file into ChatGPT and ask for specific info: “What perks in this brochure are best for families?”
- Pull fine print: Ask it to find cancellation policies, blackout dates, age limits or hidden surcharges.
- Create instant comparisons: “Compare these three itineraries by price, inclusions and travel time.”
- Build tailored summaries: “Give me a paragraph on this product for solo travellers.”
- Generate tables: Ask it to lay out pricing, inclusions or conditions side-by-side for easier quoting.
This is real-time research done while you’re doing other things, and the more you feed it, the better it gets.
At first, it’ll take time to set up. You’ll need to collate files and test prompts. But once it’s rolling, it becomes your background research machine. While you focus on clients, AI is crunching content, finding details, and organising what you need.
Build a custom research GPT
Every webinar, famil or sales call can fuel your future quotes, if you store it right.
To build your own knowledge GPT:
- Gather all notes, slides, recordings or summaries from recent events
- Collect supplier PDFs, newsletters and rate sheets
- Visit https://chat.openai.com/gpts and click Create a GPT
- Upload your files and tell the GPT its role: “Help me answer questions about Southeast Asia small-group tours.”
- Prompt examples: “Show me tours with included airfares from this content.” OR “What does the Contiki brochure say about under-35 inclusions?”
Automate supplier updates into usable insights
Supplier updates often end up buried in inboxes. Instead, streamline them into actionable intel.
Forward relevant emails into a shared Google Doc, Dropbox folder or central archive. Each week, batch and paste the latest updates into ChatGPT. Ask prompts like: “Summarise key changes for cruise specialists.”
Or use plugins like WebPilot or NoteGPT to scrape training portals, rate sheets or supplier updates. This allows you to instantly:
- Extract new routes, hotel openings, and commission changes
- Pull incentive offers and note expiry dates
These insights can be fed straight into a cheat sheet, quote, or reply.
Turn live events into searchable reference libraries
Webinars and conferences are goldmines, if you don’t forget them. Don’t let learnings fade.
Upload notes or session decks to ChatGPT or your custom GPT. Prompt it to recall key takeaways:
“What were five new selling angles for Fiji mentioned at this event?”
“Which suppliers highlighted sustainability efforts in 2025?”
Build niche GPTs by segment
If you specialise, don’t reinvent the wheel each time. Build topic-specific GPTs instead.
Create one for each key area, like Japan, family travel or luxury cruising. Include docs, PDFs, itineraries and cultural notes.
Then go to https://chat.openai.com/gpts, click Create a GPT, upload files and clearly define the GPT’s job. For example:
“You are a personal assistant for selling luxury small-ship cruises from Australia.”
You can also instruct it:
“Highlight Ponant and Silversea options before other brands.”
Once built, your GPT becomes a specialist you can consult instantly.
Be better, faster and already researching
Clients might start with ChatGPT, but they still want a human who knows more.
By building their own AI research bank, agents can quote faster, respond with deeper supplier insights, and anticipate changes before clients even know to ask.
AI MASTERCLASS: How travel agents can use AI for better client consultations and communication
AI MASTERCLASS: The ultimate guide to using AI in your travel business
KARRYON UNPACKS: Agents who proactively train their AI get sharper insights, better speed and higher-value outputs. The key isn’t replacing your role, it’s amplifying it.
AI Research
Researchers used AI to design the perfect phishing plot, what happened next shocked everyone

AI is increasingly being put to the test for its potential benefits, but a new experiment has shown how the same technology can also fuel online crime. A Reuters investigation, conducted in partnership with Harvard researcher Fred Heiding, has revealed that some of the world’s most widely used AI chatbots can be nudged into producing scam emails aimed at senior citizens.
In a controlled study, emails generated by these bots were sent to more than 100 elderly volunteers in the United States. While no money or personal data was taken, the results were troubling. About 11 per cent of the participants clicked on the links inside the phishing emails, suggesting that AI-generated scams can be as persuasive as those crafted by humans.
The fake charity experiment with Grok
The investigation began with a test on Grok, the chatbot developed by Elon Musk’s company xAI. Reporters asked it to create a message for older readers about a charity called the “Silver Hearts Foundation”. The mail looked convincing, speaking about dignity for seniors and urging them to join the mission. Without further prompting, Grok even added a line to create urgency: “Click now to act before it’s too late.” The charity did not exist, the entire email was designed to trick recipients.
Phishing: a growing global threat
Phishing, where people are deceived into revealing sensitive information or sending money, is one of the biggest challenges in cybersecurity. According to FBI figures, it is the most reported cybercrime in the US, and older people are among the worst affected. In 2023 alone, Americans over 60 lost nearly $5 billion to such fraud. The agency has also warned that generative AI tools can make these scams more effective and harder to detect.
Chatbots tested beyond Grok
The Reuters team went beyond Grok and tested five other major chatbots – OpenAI’s ChatGPT, Meta’s AI assistant, Google’s Gemini, Anthropic’s Claude and DeepSeek. Initially, most of them refused to generate phishing content. But with slight changes in the way requests were worded, such as describing the exercise as academic research or fiction writing, the chatbots eventually produced scam-like drafts.
Why AI makes scams easier
Heiding, who has studied phishing techniques for years, said this flexibility makes chatbots “potentially valuable partners in crime”. Unlike humans, they can generate dozens of variations instantly, helping criminals cut costs and scale up operations. In fact, Heiding’s earlier research showed that phishing emails written by AI could be just as effective in luring targets as those created manually.
When tested on seniors, five out of nine AI-generated mails resulted in clicks. Two came from Grok, two from Meta AI and one from Claude. None of the volunteers responded to ChatGPT or DeepSeek’s drafts. But the study was not intended to rank which chatbot is more dangerous, rather to show that several can be exploited for scams.
Tech firms acknowledge risks
Technology companies have acknowledged the concerns. Meta said it invests in safeguards to prevent misuse and regularly stress-tests its systems. Anthropic stated that using its chatbot Claude for scams violates its policies and accounts found misusing the tool are suspended. Google said it retrained Gemini after learning it had generated phishing content, while OpenAI has publicly admitted in past reports that its models can be misused for “social engineering”.
Security experts believe the issue lies in how companies balance user experience with safety. Chatbots are designed to be helpful, but stricter refusals could drive users towards rival products with fewer restrictions. This trade-off, researchers argue, creates room for misuse.
The problem is not confined to experiments. Survivors of scam operations in Southeast Asia told Reuters that they had been forced to use ChatGPT in real-world fraud schemes. Workers at such centres reportedly used the bot to polish responses, translate messages and build trust with victims.
Governments and regulators respond
Governments are beginning to take note. Some US states have passed laws against AI-generated fraud, though most target scammers themselves rather than the companies providing the technology. The FBI, in a recent alert, said criminals are now able to “commit fraud on a larger scale” because AI reduces the time and effort required to make scams believable.
– Ends
AI Research
SEERai™ by Galorath Wins SiliconANGLE TechForward Award with Industry-First Agentic Artificial Intelligence
SEERai Recognized as the Industry’s First Agentic AI Platform Transforming Cost, Schedule, and Risk Planning in Secure Enterprise Environments
LONG BEACH, Calif., Sept. 16, 2025 /PRNewswire/ — Galorath, the premier AI-powered operational intelligence platform provider, today announced that SEERai™ has been named a winner in SiliconANGLE’s 2025 TechForward Awards. The platform was recognized in the “AI Tech – Generative AI & Foundation Models” category for its impact in enabling secure, explainable AI-driven planning across complex programs.
SEERai is the first commercially available agentic AI platform engineered for program-critical outcomes. Unlike generic AI copilots or disconnected estimation tools, SEERai uses a modular architecture of purpose-built agents, retrieval-augmented generation (RAG), and structured decision logic to deliver fully traceable outputs. It enables organizations to accelerate proposal timelines, standardize estimation practices, and scale expert insight—without compromising accuracy, auditability, or security.
“Being recognized by SiliconANGLE is a testament to Galorath’s ongoing commitment to innovation and impact,” said Charles Orlando, Chief Strategy Officer, Galorath Incorporated. “With rising costs, constrained budgets, and outdated tools testing the limits of traditional project planning, SEERai delivers an agentic AI solution that replaces static assumptions with accuracy, agility, and confidence.”
The TechForward Awards recognize the technologies and solutions driving business forward. As the trusted voice of enterprise and emerging tech, SiliconANGLE applies a rigorous editorial lens to highlight innovations reshaping how businesses operate in our rapidly changing landscape. As organizations face pressures to deliver projects faster, reduce costs, and improve outcomes across increasingly complex environments, traditional tools and approaches often fail to adapt to real-time changes, leaving teams struggling with inefficiencies, risks, and misalignment. Galorath’s award-winning SEERai solution is pioneering the future of AI for cost estimation, project planning, and risk management.
“These winners represent the most impressive achievements emerging from today’s fiercely competitive tech landscape, embodying the relentless drive and visionary thinking that pushes entire industries forward,” said John Furrier, co-founder and co-CEO of SiliconANGLE Media. “These are the solutions that business leaders trust to solve their most critical challenges. They’re not just products, they’re competitive advantages.”
The TechForward awards program honors both established enterprise solutions and breakthrough technologies defining the future of business, spanning AI innovation, security excellence, cloud transformation, data platform evolution and blockchain/crypto tech. SEERai was selected from a competitive field of nominees by a panel of industry experts and technology leaders. The complete list of winners can be found online at https://siliconangle.com/awards/.
About SiliconANGLE Media
SiliconANGLE Media is a recognized leader in digital media innovation, bringing together cutting-edge technology, influential content, strategic insights and real-time audience engagement. As the parent company of SiliconANGLE, theCUBE Network, theCUBE Research, CUBE365, theCUBE AI and theCUBE SuperStudios — such as those established in Silicon Valley and the New York Stock Exchange (NYSE) — SiliconANGLE Media transforms the way technology companies connect with their target markets. Founded by tech visionaries John Furrier and Dave Vellante, SiliconANGLE Media has built a powerful ecosystem of industry-leading digital media brands, with a reach of 10+ million elite tech professionals, 4+ million SiliconANGLE readers and 250,000+ social media subscribers. The company’s new, proprietary theCUBE AI LLM is breaking ground in audience interaction, leveraging CUBE365’s neural network to help technology companies make data-driven decisions and stay at the forefront of industry conversations.
About SEER® and SEERai
Galorath’s flagship project estimating software, SEER®, offers unparalleled capabilities in project cost forecasting, risk mitigation, and actionable insights, making it the go-to platform for project cost planning for hardware and software development, systems engineering, aerospace, and manufacturing companies. SEERai is Galorath’s modular agentic AI platform for estimation, sourcing, labor, schedule, and risk, standing out as a first-of-its-kind generative AI for digital engineering support. Combining its connection with the knowledge bases of SEER, along with secure, isolated integration of an organization’s backend systems, processes, databases, and projects, SEERai allows cost and project estimation professionals to use natural language to instantly generate actionable information and data for project and cost estimation, from Work Breakdown Structures (WBS) to project and cost estimation guidance and much more. For more information, visit https://galorath.com/ai.
About Galorath Incorporated
Leveraging four decades of in-market experience and success, Galorath transforms cost, scheduling, should-cost analysis, and project estimation, optimizing outcomes and achieving unparalleled efficiencies for public and private sector organizations worldwide. SEER®, Galorath’s flagship digital engineering platform, is trusted by industry giants like Accenture, NASA, Boeing, the U.S. Department of Defense, and BAE Systems (EU). SEER accelerates time to market, dramatically enhances project predictability and visibility, and ensures project costs are on track and on budget. For more information, visit https://galorath.com/.
All trademarks are the property of their respective owners. |
SOURCE Galorath
AI Research
Lila Sciences raises $235 million to expand AI-driven research platform | Pharmaceutical | The Pharmaletter

Lila Sciences has secured $235 million in series A financing, co-led by Braidwell and Collective Global, at a valuation of about $1.23 billion. The Massachusetts-based company, founded by Flagship Pioneering in 2023, is building an artificial intelligence platform designed to automate and accelerate the scientific method across multiple disciplines.
The latest financing follows a $200-million seed round in March and will be used to hire staff and open new sites in Boston, San Francisco and London. These locations will house the company’s so-called AI Science Factories, facilities that integrate AI, robotics and laboratory systems to design and run experiments at scale. Lila says these factories have already conducted hundreds of thousands of studies across life science, chemistry and materials science.
Building autonomous science at scale
This article is accessible to registered users, to continue reading please register for free. A free trial will give you access to exclusive features, interviews, round-ups and commentary from the sharpest minds in the pharmaceutical and biotechnology space for a week. If you are already a registered user please login. If your trial has come to an end, you can subscribe here.
Try before you buy
Free
7 day trial access
- All the news that moves the needle in pharma and biotech
- Exclusive features, podcasts, interviews, data analyses and commentary from our global network of life sciences reporters.
- Receive The Pharma Letter daily news bulletin, free forever.
Become a subscriber
£820
Or £77 per month
- Unfettered access to industry-leading news, commentary and analysis in pharma and biotech.
- Updates from clinical trials, conferences, M&A, licensing, financing, regulation, patents & legal, executive appointments, commercial strategy and financial results.
- Daily roundup of key events in pharma and biotech.
- Monthly in-depth briefings on Boardroom appointments and M&A news.
- Choose from a cost-effective annual package or a flexible monthly subscription
The Pharma Letter is an extremely useful and valuable Life Sciences service that brings together a daily update on performance people and products. It’s part of the key information for keeping me informed
Chairman, Sanofi Aventis UK
-
Business3 weeks ago
The Guardian view on Trump and the Fed: independence is no substitute for accountability | Editorial
-
Tools & Platforms1 month ago
Building Trust in Military AI Starts with Opening the Black Box – War on the Rocks
-
Ethics & Policy2 months ago
SDAIA Supports Saudi Arabia’s Leadership in Shaping Global AI Ethics, Policy, and Research – وكالة الأنباء السعودية
-
Events & Conferences4 months ago
Journey to 1000 models: Scaling Instagram’s recommendation system
-
Jobs & Careers3 months ago
Mumbai-based Perplexity Alternative Has 60k+ Users Without Funding
-
Podcasts & Talks2 months ago
Happy 4th of July! 🎆 Made with Veo 3 in Gemini
-
Education3 months ago
VEX Robotics launches AI-powered classroom robotics system
-
Education2 months ago
Macron says UK and France have duty to tackle illegal migration ‘with humanity, solidarity and firmness’ – UK politics live | Politics
-
Podcasts & Talks2 months ago
OpenAI 🤝 @teamganassi
-
Funding & Business3 months ago
Kayak and Expedia race to build AI travel agents that turn social posts into itineraries