Virgin Atlantic uses ChatGPT Work to speed up customer-journey research
OpenAI has published a case study describing how Virgin Atlantic uses ChatGPT Work across the airline's digital product, customer experience, and analytics teams. The piece frames the work around the airline's customer journey, which runs from browsing and booking through check-in, the flight itself, the onboard experience, and feedback afterward. Each stage produces data that used to sit in separate systems and reporting tools, and Virgin Atlantic is using ChatGPT Work to connect those signals and help teams decide where to focus, as part of the airline's new five-year strategy.
The clearest example is competitor research. As Virgin Atlantic built that five-year digital strategy, its digital product team needed a clear view of the competitive landscape, something that could traditionally take weeks of manual research to assess across a detailed customer journey. Using ChatGPT Work, the team built a structured framework that researched competitor experiences, traced their customer journeys, and organized the findings into a dataset for review. The team could start that work in the morning and come back a few hours later to begin evaluating and refining the results. Nathan Bolt, Head of Digital Product at Virgin Atlantic, says the approach lets the team "compare journey patterns, surface opportunities, and turn insight into product decisions far faster than before." He adds: "What might once have taken weeks can now be accelerated into hours."
That competitive analysis fed directly into strategy. It helped Virgin Atlantic identify where its digital experience was already strong, which capabilities needed protecting, and where further investment was warranted, and those findings shaped recommendations in the company's five-year plan. Bolt says ChatGPT Work also helps the team synthesize strategy documents, customer insights, and digital experience data. "ChatGPT has allowed us to go from idea to actual product in customers' hands much faster," he says.
A second problem the case study describes is fragmented reporting. Virgin Atlantic's customer experience and analytics teams previously had to work across several separate dashboard tools, authenticated workspaces, licenses, user profiles, and report suites just to piece together different parts of the customer journey. Using ChatGPT Work together with ChatGPT Sites, a separate named OpenAI product, Virgin Atlantic built secure, authenticated dashboards that pull those disparate datasets into one shared interface that employees across the business can use to explore the data relevant to their own area. Miles King, Head of Customer Experience at Virgin Atlantic, says: "The ability to have a single interface that is customizable, that we can control and visualize in a way that we've not been able to before, has been game changing for us."
The team has also built custom product-planning tools inside ChatGPT: product teams can manage roadmaps, prioritization, fields, and quarterly planning in a form suited to Virgin Atlantic's own process, while senior stakeholders see a simplified, high-level view of the same plans. The airline says this cuts the time teams spend adapting their work to fit rigid planning tools, leaving more time to deliver the roadmap itself.
Beyond team-level use, Bolt describes using ChatGPT Work personally as a kind of "chief of staff," surfacing important items across his calendar, Slack, and email, helping him act on them, and helping him prepare presentations. "I'm able to do more within the same workday," he says. "I'm not working longer hours necessarily, but I'm getting more done." Virgin Atlantic says it plans to keep expanding its use of ChatGPT Work. As King puts it, "ChatGPT helps me spot what customers need, decide what matters, act faster, and deliver."
Key facts
- Virgin Atlantic's digital product, customer experience, and analytics teams use ChatGPT Work, and in some cases ChatGPT Sites alongside it, as part of the airline's new five-year strategy.
- For competitor research, the team built a ChatGPT Work framework that traces rivals' customer journeys and compiles the results into a dataset; work that could traditionally take weeks of manual research can now be started in the morning and reviewed a few hours later, according to Nathan Bolt, Head of Digital Product.
- With ChatGPT Work and ChatGPT Sites, Virgin Atlantic built secure, authenticated dashboards that replace what used to be several separate dashboard tools, workspaces, licenses, and report suites.
- The team also built custom product-planning tools in ChatGPT to manage roadmaps, prioritization, and quarterly planning, with a simplified view for senior stakeholders.
- Bolt personally uses ChatGPT Work as a "chief of staff" to track items across his calendar, Slack, and email and to help prepare presentations.
Why it matters
ChatGPT Work is the OpenAI product Virgin Atlantic uses across its digital product, customer experience, and analytics teams, and this case study is OpenAI's own account of what a large, complex organization does with the tool once it is in daily use. Virgin Atlantic's stated problem, a customer journey whose data is scattered across many systems and reporting tools, is one most companies with a multi-stage customer relationship recognize, not just an airline. The story is also notable for showing two separate OpenAI products, ChatGPT Work and ChatGPT Sites, used together for one workflow: pulling fragmented internal dashboards into a single interface.
Who it affects
Directly, Virgin Atlantic's digital product, customer experience, and analytics teams, along with the two executives quoted in the case study: Nathan Bolt, Head of Digital Product, and Miles King, Head of Customer Experience. More broadly, the case study is aimed at other large organizations with complex, multi-stage customer relationships that OpenAI is trying to persuade to adopt ChatGPT Work and ChatGPT Sites for similar research, dashboarding, and planning work.
How to use it
The case study describes three concrete workflows rather than a general pitch. For competitor research, the team built a structured ChatGPT Work framework that researches rival customer journeys and compiles the findings into a dataset, work that can be started in the morning and reviewed a few hours later. For reporting, ChatGPT Work combined with ChatGPT Sites builds secure, authenticated dashboards that bring data previously spread across several separate dashboard tools, workspaces, and report suites into one interface. For planning, the team built a custom tool inside ChatGPT to manage product roadmaps, prioritization, and quarterly planning, with a simplified view for senior stakeholders. The article gives no price, licensing terms, or account-size detail for either product.
How solid is it
This is a case study OpenAI published on its own site, openai.com, not independent reporting on Virgin Atlantic's operations. Every quote comes from two Virgin Atlantic executives, Nathan Bolt and Miles King, characterizing the tool in their own words as relayed by OpenAI; there is no third-party measurement of the claimed speedups and no analyst or customer review cited. OpenAI has a direct interest in presenting its own product favorably, and the specifics that are checkable, the named executives and their exact titles, are more concrete than the efficiency claims, which stay qualitative throughout.
Risks and caveats
The article's efficiency claims stay qualitative: work that "could take weeks" now takes "a few hours," with no specific day or hour counts anywhere, no date given for when Virgin Atlantic adopted ChatGPT Work, and no figures for cost, return on investment, number of competitors researched, or team size. The personal-productivity account, Bolt using ChatGPT Work as a "chief of staff," is one executive's own description of his individual workflow rather than a measured team-wide result. Readers should treat the piece as Virgin Atlantic and OpenAI's own framing of a successful deployment, not as an audited case study with externally verified numbers.
“It enables our teams to compare journey patterns, surface opportunities, and turn insight into product decisions far faster than before. What might once have taken weeks can now be accelerated into hours.”
— Nathan Bolt, Head of Digital Product at Virgin Atlantic