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HDI Service & Support World
April 25-29, 2027
Caesars PalaceLas Vegas, NV
What is the Cost of Inauthenticity?

Once the gap between what we say we deliver and what we actually deliver is visible, the consequences become impossible to ignore. This gap is not abstract. It is where people work, where customers experience our service and where performance is truly defined.

At its core, this is the cost of inauthenticity, the distance between perception and reality.

When organizations operate in this space, the focus subtly but powerfully shifts. Instead of delivering value and what matters to your customer, people spend their time working in and managing the gap.

Energy goes into:

  • Explaining why things didn’t happen as expected.
  • Compensating for broken or inefficient processes
  • Reacting to problems instead of preventing them

The organization becomes reactive rather than intentional, and performance becomes fragile. What appears functional on the surface is often held together by effort, workarounds and individual heroics. Then, we ask the customers to give feedback on the agent. Next, we present that data as if it is representative of the entire end-to-end service delivery. It is not. It is how great the agent and only the agent is.


Impact on Customer Performance

Customers experience the reality, not the narrative.

When there is a disconnect between promise and delivery:

  • Expectations are set high, but met inconsistently.
  • Experiences feel fragmented, rather than seamless.
  • Trust begins to erode with each missed expectation.

Over time, this inconsistency damages reputation. Not because the organization lacks intent, but because it cannot reliably deliver on what it claims. The result is a loss of confidence, customers start to expect less, or worse, look elsewhere.


Impact on People and Culture

Inside the organization, the cost is deeper and more personal.

People are required to operate within a system they know does not reflect reality. This creates:

  • Increased stress and workload
  • Declining morale and engagement
  • Friction between teams as issues are passed or defended.
  • Reduced collaboration and loss of teamwork

Workarounds become the norm, replacing capability with coping mechanisms. Over time, skills erode and frustration builds. Good people either disengage or leave, increasing attrition and driving recruitment costs.

Culturally, the organization shifts in subtle, but damaging ways:

  • From ownership to defensiveness
  • From transparency to protection
  • From improvement to firefighting

Honesty becomes risky, and maintaining the narrative becomes more important than addressing the truth. This is how inauthenticity becomes embedded.


Organizational and Financial Cost

The gap also carries a clear operational and financial impact. Organizations working in this space typically experience:

  • Reduced efficiency and productivity
  • Increased errors and rework
  • Higher recruitment and training costs due to attrition
  • Health-related absence driven by stress and burnout.
  • Direct financial loss from inefficiencies and missed opportunities.

What is often labelled as underperformance is, in reality, the natural outcome of a misaligned system. The organization is producing exactly what it has been designed to produce, a gap between promise and delivery.


The Hidden Truth

The most important insight is this: inauthenticity is not accidental, it is designed in. It emerges when:

  • Measures reflect aspiration rather than reality.
  • Success is defined by optics instead of outcomes.
  • Processes are designed for control, not for how work actually happens.
  • Technology is implemented without aligning to real behaviors.
  • The narrative is protected, rather than challenged.

In trying to present the best version of ourselves, we create systems that sustain the illusion rather than improve the experience.


The Opportunity

If the gap is designed in, it can also be designed out.

Closing it begins with honesty, making reality visible and aligning what we say with what we do. It requires shifting focus from protecting the narrative to improving the system, and from managing perception to delivering consistent outcomes.

Because sustainable performance only exists where there is alignment, where what we promise, what we believe and what we deliver are the same.

That is how the cost of inauthenticity is removed. Not by telling a better story, but by making it true.

Related news

Bridging the Gap: 5 Tips for Cross-Functional Collaboration That Enables AI Transformation

Ask ten executives who owns AI at their company, and you’ll get ten different answers. IT says it’s not their call. Legal gets blamed for slowing everything down. HR figures it’s someone else’s department. Meanwhile, teams are buying tools nobody signed off on, duplicating work and hoping it all sorts itself out. Sound familiar?

Lisa Duerre spent the last year studying why that happens. As part of an applied research project for her leadership consulting collective, RLD Group, she studied where AI adoption breaks down inside organizations, and where it works. The findings from RLD Group’s research helped inform a collaboration on the CONVERSATIONS WORTH HAVING®: The Human Accelerator for Artificial Intelligence Quick Start Guide, which is available as a digital download.

Duerre views organizations through what she calls an I–WE–US leadership framework, defined like this:

  • I: individual judgment and accountability

  • WE: workflows and cross-functional coordination

  • US: governance, decision rights and organizational measures

“All three levels are contributing to the breakdown or the alignment, whether people realize it or not,” Duerre says. “AI is amplifying whatever’s already true in your system. The teams that were disconnected before AI showed up are more disconnected now. The ones that talked to each other are moving faster, together.”

If your company is ready to collaborate better with AI tools, Duerre shared the following tips. Take a look.

Form a cross-functional AI committee

Duerre’s background is in HR, and she says most HR leaders assume AI ownership belongs to IT. It doesn’t, at least not exclusively.

“Ownership needs to sit at the system level,” Duerre says. “Each function carries a piece of it, based on what they do, how well they understand that part of the business and how their work depends on everyone else’s. AI is flattening how we work. You can’t just keep it in your own business unit anymore. You have to look all around you.”

For starters, she suggests building a cross-functional AI committee instead of having one department make all the AI decisions. Legal, IT, cybersecurity and HR should be on the committee, Duerre says.

“If you have a C in front of your title, you should be on that committee,” Duerre says. “That’s how I look at it, because it’s a system-level solution.”

During these meetings, Duerre says you’ll find out that some departments are racing ahead with AI and others are holding back.

“Both sides need to name the trade-offs aloud,” Duerre says. “With teams moving too cautiously, you have to talk about the opportunity cost of falling behind. With teams sprinting ahead, you have to ask them what happens if they don’t bring everyone else along with them.”

Figure out how to use AI strategically

Most companies spent the past two years telling employees to use AI with anything, without much strategy behind it. Duerre says that’s starting to catch up with organizations as finance teams scrutinize the cost.

Her rule of thumb: if you can’t articulate the goal and how you’ll measure success, don’t roll it out yet.

“Teams that use AI well have a strategy behind it,” Duerre says. “They’ve kicked the tires on what they’re trying to solve it for. You need to ask yourself, ‘Which business outcome are we trying to improve, and what must be aligned for AI to create measurable value?’”

Here are a few examples of how to use AI strategically:

  • A company could select a workflow that regularly creates delays, redesign it with AI and test the new approach. Then, measure whether it improves time, cost, quality or capacity.

  • Use AI to support early sales outreach and qualification across markets and languages. AI can help a business reach and assess more potential opportunities, while people remain responsible for understanding the customer and building trust.

  • Flag patterns in customer complaints across multiple channels with AI, so leadership can see recurring problems before it shows up in satisfaction scores.

Check-in regularly during an AI rollout

Duerre recommends a minimum weekly check-in during any AI rollout, sometimes daily depending on complexity. But the format matters more than the frequency. Status updates don’t cut it.

“Ask, ‘What are we learning and what are we surprised by?’ That’s a question that helps you with your check-ins, versus, ‘It’s in three products now and we’ve tested six,’” Duerre says. “That doesn't help, because you’re having these meetings to figure out what’s working and why. If you ask more strategic questions, you can move even faster.”

Publish AI guardrails

Employees who don’t know what’s allowed with AI will either freeze or go around the system entirely, Duerre says. She recommends publishing clear, specific guardrails on what’s okay and what’s not. Come up with some real examples, and pair them with an intake process that doesn’t require writing a thesis to get an approval for using it.

"The approval path should be lightweight, not bureaucratic,” Duerre says. “Something like, ‘If you’re going to use AI, here’s the path. And if it needs approval, here’s three or four quick questions for you to answer.’”

Take employee anxiety about AI seriously

“AI is just a tool” is a phrase Duerre hears at nearly every conference she attends, but she doesn’t buy it.

“Saying it’s a tool is underselling what’s happening at companies right now,” Duerre says. “AI is changing how we work. It’s changing how we lead teams.”

Duerre wants leaders to remember that a lot of employees are fearful of AI. Pew Research Center found 52% of U.S. workers are worried about the future impact of AI in the workplace.

Employees who feel AI is being “done to them,” instead of built alongside them are especially anxious, she says.

“Leaders need to recognize that anxiety is contagious,” Duerre says. “As a leader, this is your opportunity to show up as the safe, steady person who is showing what you’re learning with AI. And don’t be afraid to show how you’ve failed using AI, too.”

Duerre asks every executive she works with: “Who am I with AI?” and encourages them to pass this mindset question along to their employees, too.

“AI is now your teammate,” Duerre says. “Phrasing it as, ‘who am I with AI?’ is different than, ‘what’s going to happen to me with AI?’ You really want your team to feel empowered with AI and show them how it can help accelerate their career.”

Put these ideas into action

Rewiring your organization for AI requires more than the right tools. It takes shared language, practical frameworks, and a willingness to keep learning. Here are a few resources to help you take the next step.

  • Enterprise AI Playbook: Practical frameworks and executive discussion questions to help IT, HR, and business leaders align around AI that delivers measurable value.

  • Work-First AI Use Case Assessment: Identify the workflows where AI can have the greatest impact before you invest in new tools.

  • The REWIRED Brief: Get weekly insights, real-world case studies, and practical advice on leading AI transformation.