Seventy percent of organizational change interventions in travel fail, yet businesses that focus on managing change are four times more likely to be successful with travel automation projects. What separates successful ROI-producing investments in automation from expensive flops is not the technology being implemented, it’s how effectively those implementing it manage the people side of the transition.
Business travel spending is forecast to reach $1.64 trillion in 2025, and more than 60 percent of airlines currently offer NDC platforms. Despite large technology expenditures in the area of automating travel, there are few travel automation applications that actually perform as advertised. It’s not because of any technical limitations, it’s a failure of project OCM (organization change management) and the issues it creates with users who simply don’t want to use even the most advanced automations out there.
“In our own industry research, we discovered that 70% of all organisational change initiatives do not even see the light of day and of the 42% of companies who don’t reach their objectives. It is due to employees not buying into the change,” it said. In the space of travelling automation, in particular, this means costly software implementations with little return on investment as staff either work outside
There is a lot of risk associated with travel automation,and it is about more than just the inability to be operationally efficient. And there are serious compliance risks because when staffers go outside the corporate booking process, in a practice known as “shadow travel,” companies are exposed to potential penalties from regulators (like fines) and the IRS, and even to potential legal liability in foreign countries.
The “consumerization gap” further compounds this issue: workers are used to the seamless user experience of consumer apps such as Booking. com those doing business are frustrated with the post is generally and increasingly painful and restrictive when it comes to corporate. Unless this user experience rift is addressed via change management, 68% of business travelers go to alternate booking channels on their own, leading to compliance challenges for finance and legal.
There are specific psychological impediments to automation of greed in the travel industry. Automation anxiety is particularly high in travel management, where the value of a travel manager has traditionally been tied to relationships and personal service.
We see the business impact of this resistance in industry data today: 72% of corporate travel managers still haven’t reached the policy compliance levels they want, and 60% of corporate travelers don’t understand why their company even has travel policies. The fissure is partly due to the change management tactics that approach automation as a technology deploy rather than a business transformation.
Effective travel automation change management starts with creating a sense of strong business urgency around what is broken today. The top pressure points based on research are high cost of processing, point-to-point systems that aren’t integrated, no control of spending, inconsistent reimbursement cycles, and a lack of visibility to travel data.
For SME Business: Limited resources mean that the executives, the leadership has to get their hands dirty; they must be the example and showcase the benefits of automation. Communicate in terms of immediate savings and time-reduction that affect the bottom line.
For Enterprise organizations: Complicated stakeholder environments require coalition building across finance, HR, IT, and travel management. Map owned formal authority and informal influence to find champions who can push the adoption through the business sectors.
The goal of the vision is to respond to automation anxiety by framing technology as something that enhances capabilities, rather than replacing jobs. This is how industry forerunners like CTM do it: AI takes care of service inquiries, while human travel advisors take over more intricate and emergent assistance, improving both the service quality and efficiency.
Role Enhancement Messaging: Rather, position automation as professional development technology instead of presenting it as replacement technology. Customer satisfaction went up by 24% from WestJet agents resolving complex problems and managing relationships due to Juliet, the WestJet chatbot, automating 74% of routine inquiries
Change Management Phase | Small-Medium Business Approach | Enterprise Approach |
---|---|---|
Urgency Creation | CEO-led presentations highlighting immediate pain points and ROI projections | Department-specific business cases with detailed cost-benefit analysis |
Vision Development | Clear, simple automation benefits tied to business outcomes | Comprehensive stakeholder journey maps showing role evolution |
Coalition Building | Key influencer identification and early pilot participation | Cross-functional change champion networks with defined responsibilities |
Communication Strategy | Direct, frequent updates via multiple internal channels | Structured communication cascades with built-in feedback mechanisms |
Empowerment | Hands-on training with immediate supervisor support and troubleshooting | Self-service learning platforms complemented by peer mentoring programs |
Quick Wins | Pilot implementations with immediately visible, measurable results | Process improvements delivering immediate value to daily operations |
The goal of the vision is to respond to automation anxiety by framing technology as something that enhances capabilities, rather than replacing jobs. This is how industry forerunners like CTM do it: AI takes care of mundane service inquiries, while human travel advisors take over more intricate and emergent assistance, improving both the service quality and efficiency.
Role Enhancement Messaging: Rather, position automation as professional development technology instead of presenting it as replacement technology. Customer satisfaction went up by 24% from WestJet agents resolving complex problems and managing relationships due to Juliet, the WestJet chatbot, automating 74% of routine inquiries
The typical patterns of resistance to automation at work can be predicted, and are avoidable, provided executives are aware and proactive:
Technical Resistance: Employees resist claiming that it is dependent on a system, that does not handle their (business) specifications, but otherwise has an underlying reason, being afraid losing their job or they are not capable of handling it professionally.
Process Resistance: Claims that automation does not fit in with any individual’s unique travel circumstances, or resistance to ‘new ways’ of working at a more personal level.
Relationship Resistance : The fear that automation will harm relationships that have been carefully built with suppliers or impede the organization’s capacity to deliver personal service to internal customers.
Top companies are using hybrid models of automation; keeping the human in the loop but actually taking away all routine work. At one of the largest transportation companies, 90% of all documents are now processed by an automated system with continuous human oversight for the most complex decision-making and business communication.
Starting in 2025, travel AI will be more autonomous and proactively make decisions to rebook, modify accommodations and sync with a traveler’s calendar. How change management needs to adapt is: organizations need to be prepared to have faith in the system making decisions which used to be approved by a human, yet maintain appropriate control and escalation processes.
Organizations that spend time shifting employee mindset are 4x more likely to rate their change initiative as successful. Ongoing measurement and reinforcement sustain use over time not just getting people to start and then having them drift back into old habits.
Fieldin’s evolution is an illustrative application of classic change management to Travel Automation. The execution overcame a number of business and user challenges:
Gradual Business Integration Options Gradual Business Integration: Integration with HR systems already in place (HiBob) all-but-eliminated manual data entry, which both cut-down the time spent on admin, and guaranteed data integrity between business systems.
User Experience Optimization: Mobile-enabled approvals met employee expectations for consumer-level experiences, and, by decreasing approval times from hours to minutes, we directly impacted productivity.
Tangible Business Outcomes: In addition to streamlining its processes, the transformation has provided “tens of thousands of dollars” in cost savings and operational efficiencies due to negotiated vendor rates and both reduced and eliminated administrative overhead that had been taken a serious bite out of productive time.
Sustainable Change Management :The delivery implementation specialist, Will Haley, provided excellent continued support, and ownership was smoothly handed to HR leadership that could have setup completed in minutes instead of hours great for the long haul.
WestJet’s Juliet chatbot is a good example of how to manage automation anxiety in the context of a business. Instead of replacing people, Juliet answers basic questions so people can concentrate on more complicated problems where they have to manage a relationship and solve a problem.
Part of the success was in the clear redefinition of roles,not job deletions when discussing the message with employees but separately being able to show the business value.
Resource Utilization: Fewer change management resources force choice of interventions that will have the most business impact. Management engagement breeds credibility, and peer-to-peer style learning goes some way to cutting down expense on formal training.
Benefits via Rapid Deployment: Smaller companies have the agility to enact change more quickly, establishing momentum through the delivery of visible quick wins that show the rapport with immediate business value.
Compliance Risk: SMBs have significantly more risk of non-compliance programmatically with shadow travel, as they can’t monitor it as effectively as their larger brethren. Change management communication needs to relay legal and financial shielding messages as well as the current trend of operational effectiveness.
Complexities in Multiple Departments across Geographic Locations and Business Cultures: Big corporate utilize complicated stakeholder engagement among different departments, places and business customs with different levels change readiness.
Cross-Functional Integration: Change leads networks that link across departmental silos to ensure consistent information and support is communicated from the C-suite to the front-line.
Scale Benefits: As enterprises investing in resources that are delivered, launching end-to-end training programs, deploying change management teams, and leveraging advanced measurement systems that monitor adoption across multiple dimensions of the business.
Adoption and Usage Indicators:
Business Impact Measures:
User Satisfaction Indicators:
Change Readiness Metrics:
The development of business travel automation technology has reached a level that can provide tangible business value; however, the effectiveness of the implementation relies on a people-centered organizational change management strategy.
Travel automation change management mastery positions an organization to immediately take advantage of emerging technologies like biometric identification, AI-powered cost management tools, and proactive rebooking systems. More importantly, they will establish adaptive organizational structures to harness changes in business technologies in a timely manner while keeping employees engaged and complying with policies, rules, and procedures.
Travel process automation involves integrating advanced technologies to streamline corporate travel workflows, minimize errors, and ensure adherence to travel policies, ultimately enhancing the traveler experience and improving cost oversight.
OCM is crucial because it focuses on managing the "people side of change," ensuring employees not only adopt new systems but also embrace new ways of working. Without effective OCM, travel automation projects often face widespread resistance, low adoption rates, and fail to deliver their promised ROI.
Employee resistance often stems from fears of job displacement, skepticism about the technology's benefits, a lack of understanding of new system capabilities, insufficient training, poor communication, and a preference for the more user-friendly interfaces of consumer-facing travel sites.
"Shadow travel" occurs when employees book business trips outside official corporate channels. This practice exposes companies to significant risks, including severe legal and financial penalties for non-compliance with immigration, visa, labor, and tax laws, as well as potential data breaches.
Organizations can measure OCM success using Key Performance Indicators (KPIs) such as booking tool adoption rates, the percentage of policy-compliant bookings, realized savings from negotiated rates, reductions in expense reporting cycle times and errors, and overall traveler satisfaction scores.