Strategy

Logistics, Culture and Connection: The Keys to Unlocking the Borderless Workforce

April 20, 2026

Logistics, Culture and Connection

The Keys to Unlocking the Borderless Workforce

Global culture isn’t emerging, it’s here. 

In the first few months of 2026, we’ve seen it everywhere: the Winter Olympics and Paralympics uniting 90+ nations, Puerto Rican artist Bad Bunny‘s multicultural halftime performance at the Super Bowl and   the historic Oscars sweep for Sinners a film celebrating a fusion of Black, Irish, Chinese and Choctaw heritage.  The world’s biggest stages are now inherently multinational and multilingual, built for an audience that no longer views culture as confined by geography.

The workforce is following the same pattern. Global teams are no longer a competitive edge, but rather they are the reality of modern business. And with 84% of executives struggling to find skilled talent in their existing markets, global hiring has shifted from a strategic advantage to a baseline requirement for growth.

The talent gap is driving the move toward global hiring, but the complexity of global employment remains a barrier for HR leaders. The challenge is no longer just finding talent, but navigating the fragmented landscape of labor laws, tax codes and shifting compliance requirements.

AI is often cited as the solution to this complexity, but we must be discerning. Not all tools are created equal. General-purpose LLMs that pull data from unverified public forums  (such as Reddit or Wikipedia) expose an organization to significant -compliance risk.

In the global arena, your “backstage” logistics must be as flawless as your front-facing growth strategy. To maintain integrity, HR leaders should prioritize platforms with curated, HR-specific knowledge bases – like G-P Gia, rather than the open web. By automating the first-line of compliance checks, we shift HR’s role from administrative gatekeeping to strategic workforce planning. This allows a company to enter a new market in days, not months, transforming compliance from a bottleneck into a speed advantage.

Building a global team requires more than just logistical coordination – it requires intentional cultural  bridging. A team spanning multiple continents and cultures cannot rely on physical proximity to build rapport. When global teams fail, it is rarely due to a lack of talent, but the lack of a shared mission.

Cultural friction is inevitable in a global environment, but should be treated as a communication challenge, not an irreconcilable difference. By anchoring every team member, regardless of their location, to a singular, well-defined organizational purpose, HR leaders can bridge cultural gaps. When the mission is clear, the diverse perspectives of a borderless workforce become a strategic multiplier rather than a source of confusion.

Even with robust logistics and strong culture, global teams face the persistent hurdle of proximity bias.  G-P’s research found that 86% of executives believe that an employee’s visibility and influence on decisions are still dictated by their physical location or time zone. 

Tools like Slack or Microsoft Teams can be vital for collaboration across global teams, they are not alone a strategy. With 69% of remote workers reporting feeling burned out from digital noise, the solution is not more messaging, its better synchronization. 

As leaders, we should try  to meet employees where they are and promote flexible working environments that prioritize high value connection. This means protecting overlapping hours for one-on-one mentorship or collaborative problem-solving, while moving  routine status updates to asynchronous channels. Influence should be measured by impact, not ‘green light’ availability.

G-P’s 2025 World at Work Report found that 64% of executives worried their companies aren’t equipped to handle today’s geopolitical, economic and technological disruptions. However, the organizations that thrive will be those that can operationalize  these disruptions, and use global teams and collaboration to build a more resilient workforce.

Whether it’s producing an international awards show or scaling a cross-border engineering team, the requirements are the same: rigorous logistics, intentional design and relentless dedication to equity. By solving the talent gap through a global lens, HR leaders won’t just navigate the new cultural and economic zeitgeist, we will define it.

Laura Maffucci

About the Author

Laura Maffucci is G-P’s Head of HR, overseeing the global workforce, talent, and employee experience with a people-first mindset. She values diversity of thought as essential for a healthy workspace. In her 20+ year career in HR, Maffucci has spoken on global and national platforms about compensation, employee well-being and mental health. She’s a staunch advocate for the employee experience and creating a culture of inclusivity. Maffucci is passionate about the future of work, normalizing the value of work everywhere, and enabling employees globally to be their best selves and add value wherever they go and whatever they do.

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How AI-Powered Health Signals Are Changing HR Strategy

April 15, 2026

How AI-Powered Health Signals Are Changing HR Strategy

For years, workplace wellness programs have operated on a familiar cycle: people get sick, productivity drops, teammates scramble to adjust priorities, and everyone waits for the wave to pass. But what if these disruptions weren’t inevitable? What if organizations could see health challenges, like respiratory illness outbreaks coming and respond before they become inconveniences?

Here’s the uncomfortable truth: if your health strategy only kicks in when someone calls out sick, you don’t really have a strategy. You have a reaction. And there’s a significant difference.

But a shift is happening. AI-powered health signals are now moving workplace wellbeing from reactive to predictive, and the implications reach far beyond reducing sick days.

Traditional wellness programs rely on lagging indicators. By the time sick day requests appear, the opportunity for prevention has passed.

AI changes this by identifying patterns that emerge before disruption becomes unavoidable. Sleep quality shifts. Respiratory disturbances increase. Fatigue accumulates. These aren’t abstract metrics. They’re advance warnings, often surfacing days or weeks before people recognize something is wrong.

Take respiratory illness outbreaks, for example. Tools that measure coughing patterns during sleep and forecast when illness surges will occur in specific regions. Forward-thinking employers are now making these insights available to their entire workforce through bulk employee subscriptions, giving teams early warning capabilities that weren’t possible even a few years ago. When employees have access to this intelligence, they can make informed decisions about working remotely or adjusting schedules before symptoms disrupt operations.

This shifts wellness from damage control to strategic planning. HR teams can adjust staffing proactively, enable remote work when risk rises, and support employees in protecting their health and their colleagues’. The result is fewer unexpected absences and sustained productivity through seasons that used to mean inevitable disruption.

The power of predictive health signals also creates risk. When personal health data enters the workplace, employees become vulnerable to surveillance or discrimination. This is where most AI wellness initiatives fail, prioritizing organizational insight over individual privacy.

The alternative is designing systems where privacy is structural. Data should be anonymized and aggregated by default. Individual health signals never reach employers. Employees receive personalized insights that help them make better decisions, while organizations receive only the high-level trends needed to plan responsibly. If an employee starts to feel observed instead of supported, the system fails, regardless of how accurate the data is. Privacy is key.

For example, HR might learn that cough-disrupted sleep is increasing across the organization, signaling a possible respiratory illness wave, without ever knowing which employees are affected. That’s enough to adjust remote work policies or postpone large in-person meetings, all without compromising anyone’s privacy.

When prediction respects privacy, employees gain agency. When it doesn’t, they lose trust.

AI excels at pattern recognition at scale, spotting trends that would be impossible for humans to detect manually. Organizations are increasingly providing employees with access to sleep tracking and health monitoring tools through comprehensive wellness programs, generating the data that makes this pattern recognition possible. But it cannot diagnose illness, prescribe treatment, or understand individual circumstances. Those decisions still require medical professionals and employees themselves.

The value isn’t in replacing human judgment but in surfacing information that enables better decisions earlier. When HR teams provide these capabilities organization-wide, employees gain access to personalized insights about their sleep quality and health trends. For example, an employee seeing steady sleep quality decline might adjust their workload. A manager noticing aggregated sickness trends might extend a deadline before burnout becomes crisis. When AI positions itself as a decision-maker, it invites resistance. When it supports human decision-making, it earns adoption.

As predictive health signals become accessible, business strategy must evolve beyond cost containment. The question isn’t just “how do we reduce healthcare spending?” It’s “how do we build workforce resilience that sustains performance through disruption?”

Organizations that integrate predictive health intelligence gain measurable advantages. They can model staffing around predictable patterns rather than reacting to absences. They can design flexible policies that activate when aggregated risk signals rise. They can offer workload adjustments based on fatigue trends rather than waiting until burnout forces extended leave.

The shift from reactive wellness to predictive resilience represents a fundamental change in how companies think about workforce health, not as an HR benefit to manage but as a business capability to cultivate.

In 2026, employees will increasingly expect proactive health support. The organizations that succeed will approach this shift with clear principles: respecting privacy by design, empowering employees rather than surveilling them, and using AI to support human decision-making.

For HR leaders evaluating these technologies, the critical questions aren’t about capabilities but about design. Does this tool protect privacy by default? Does it empower employees or expose them? The answers will determine whether AI-powered wellness becomes a strategic advantage or just another program people avoid.

The predictive turn in workplace wellbeing is already underway. The question now is how responsibly organizations will make that turn.

About the Author

Erik Jivmark, CEO at Sleep Cycle, holds an M.Sc. in Business and Economics and brings substantial leadership experience in digital products and services, notably as the former co-founder and CEO of Volvo Car Mobility AB. With a global vision, he sees Sleep Cycle as a pivotal player in improving global health through enhanced sleep. Looking ahead, he is committed to utilizing Sleep Cycle’s leading technology and AI capabilities to advance the company as a key contributor to global well-being.

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Thawing the Cold Work Freeze

April 14, 2026

Thawing the Cold Work Freeze

Reconnecting People, Business, and Technology Through Intelligent Experiences

Cold Work isn’t loud; it’s a silent standoff with real consequences for trust and performance. Our research shows 62% of employees and 49% of employers engage in hidden behaviors that secretly punish the other side: stress-scrolling, ghosting messages or withholding effort on one end; surveillance, petty assignments and micromanagement on the other. The emotional toll is real: 62% report crying, losing sleep or struggling with mental health due to work. And so is the business impact: 78% say engagement is stagnant or declining.

Thawing it requires rebuilding the connective tissue of work — the relationships, rituals, routines and resources that shape how people show up each day. Intelligent, human-centered employee experiences can accelerate that reconnection, and they’re most powerful when paired with cultural habits that strengthen trust and reduce friction across the organization.

Our Cold Work Research uncovered 6 key tensions between employees and employers:

  1. Flexibility vs. Accountability – Employees seek autonomy while employers feel increasing pressure for output, creating a tug of war between freedom and control.

  2. Lack of Recognition & Meaning – Employees want to feel seen and valued, but many feel invisible in systems that reward efficiency over humanity.

  3. Normalization of Turnover – Long-term loyalty has faded, replaced by a more transactional mindset where turnover feels inevitable — on both sides.

  4. Unrepaired Conflicts – Workplace conflict is inevitable, but repair is optional — and when conflict or tension goes unaddressed, negativity builds and impacts workplace culture.

  5. Generational Divides – Differences in communication style, expectations, and values quietly shape how teams work together… or don’t.

  6. Obstacles to Innovation – Employees want to learn and grow, but limited development opportunities and inconsistent tech rollouts slow meaningful innovation.

These tensions reveal a deeper pattern of disconnection between employees, their colleagues, the business, and the technology meant to support them.

Across organizations, the effects are strikingly similar: relationships strain, clarity fades, and everyday work becomes harder than it should be. When these disconnections compound, work shifts from relational to transactional — and culture freezes at the edges.

To thaw Cold Work, organizations must focus on reconnection — and a powerful way to do so is through Intelligent Employee Experiences.

Most digital transformations generate more transactions: more screens, more steps, more logins (and more frustration). Intelligent Employee Experience produces connection.

To rebuild connection and reduce friction, organizations need four foundational capabilities. These are the operating disciplines that make Intelligent EX possible, regardless of which tools or platforms you use.

Consumer-Grade Experiences

Employees expect the same ease and clarity at work that they experience as consumers. This means designing tools and workflows that feel intuitive, reduce friction, and make common tasks (like finding information, requesting support, or completing a process) simple and seamless.

AI That Amplifies Human Work

AI should play a supportive, contextual role that helps employees focus, decide, and act with confidence. Micro-interactions like summarization, routing, knowledge suggestions, and sentiment-based nudges reduce cognitive load and improve clarity. The goal is not automation for its own sake, but human amplification.

Technology Orchestration for Human Outcomes

Instead of adding more systems, Intelligent EX connects the ones you already have. Orchestration creates seamless workflows across platforms, so employees experience work as a coherent journey rather than a series of disconnected systems.

Measurement That Focuses on Value, Not Volume

Traditional measurement tracks activity; Intelligent EX tracks outcomes. Experience Level Agreements (XLAs) measure friction, clarity, trust, and capability. This shifts measurement from policing tasks to improving moments — ensuring every investment strengthens experience and performance.

One of the most practical ways to deliver Intelligent EX is through a single-pane-of-glass employee interface — a unified digital workspace where employees can find, do, learn, and connect without jumping across fragmented tools. Think of it as the organization’s daily operating system: the place employees start, navigate, and complete their work.

A world-class single interface is built on six core attributes:

  1. Unified: A unified interface brings people, tools, tasks, knowledge, and policies into one place, with systems integrated behind the scenes so everything feels connected. No system hopping or confusion, just a single reliable starting point.

  2. Intuitive: The experience feels obvious. Clear navigation, simple flows, and human-centered design choices reduce cognitive load and make work easy with minimal training. The interface helps employees focus, rather than forcing them to learn another system.

  3. Intelligent: The interface anticipates needs and provides help in context. AI surfaces relevant information, suggests next steps, understands intent, and adapts workflows — helping people do their best work without adding effort or complexity.

  4. Empowering: The interface enables employees to act independently by removing blockers that slow them down (like scattered information, unclear next steps, and tool friction). Clear visibility and timely guidance help work move forward without delays.

  5. Ubiquitous: A ubiquitous interface provides consistent functionality and data across devices, environments, and roles — from corporate offices to frontline environments to mobile — ensuring the experience travels with the employee.

  6. Inclusive: A great interface works for every employee. It’s accessible across roles, languages, abilities, and geographies to ensure equitable usability regardless of context.

In practice, we see organizations that bring these attributes together in one place improve the daytoday experience quickly: people find what they need faster, complete routine tasks with fewer steps, and feel more supported. Those improvements show up in the numbers — higher satisfaction and adoption, shorter timetotask, and stronger retention.

If you want to thaw Cold Work and build early momentum, start with two moves:

Map moments of disconnection and impacted KPIs

Bring together HR, IT, Ops, and frontline teams to identify where disconnection shows up across people, business, and technology. Ground the picture in real employee input and operational data. From there, set the experience KPIs that matter — and establish a simple, ongoing measurement plan.

Pilot a small set of high-priority journeys

Choose two or three high-volume, high-friction processes (e.g., onboarding, finding a policy, submitting a request, resolving an issue). Orchestrate the systems behind them so each journey feels simple and human: one place to start, one clear flow, with AI micro interactions that summarize, route, suggest, or guide. Measure progress against KPIs and use the learnings to shape future pilots.

Cold Work freezes culture, driving disconnection and disengagement — but it doesn’t have to stay that way. Organizations that thrive will be those that build stronger connections by making work simpler, more human, and less draining. Intelligent experiences help make that possible: through better design, smarter tools, clearer measurement, and a single connected experience that helps every employee feel supported rather than overwhelmed.

About the Author

Matthew Dietly is a transformation strategist with 20 years in professional services – across management consulting, agency strategy, and digital transformation – who consistently identifies unmet needs and builds the capabilities to address them. He applies a human-centered lens to that work and believes that many business problems are best solved by understanding and addressing the underlying human problem first.

Most recently that’s meant two things at Infosys: building and leading an employee experience practice at WongDoody, developing the research, thought leadership, and client capabilities that established EX as a meaningful discipline within the agency, and now bringing that same human-centered, experience-led thinking to how Infosys pursues its largest and most complex deals.

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Why Your Org Chart Is Killing Innovation

April 13, 2026

Why Your Org Chart Is Killing Innovation

I keep a framed org chart on my office wall. Not because I think it’s useful. Because I think it’s one of the most beautiful lies in business.

It shows you who reports to whom. It signals seniority, span of control, the tidy logic of institutional order. What it does not show you is how work actually gets done: who calls whom when the real problem emerges at 4pm on a Thursday, which team has the actual authority to make the call, or why that promising initiative stalled for three months while two department heads quietly protected their turf.

In my work advising organizations on team performance, I’ve come to believe that most companies are trying to innovate using a management tool designed for a different era. The org chart was built for scale and optimization, for running a known process at volume. It was not built for the kind of creative, cross-functional, uncertain work that actually generates new value in today’s environment. And the gap between the two is where most innovation quietly dies.

Here’s the uncomfortable truth I open with whenever I’m in a room with senior HR leaders: three quarters of cross-functional teams are dysfunctional. That’s not my number; it comes from Harvard Business Review research. But it maps exactly to what I see on the ground. And yet cross-functional teams are the engine of value creation in modern organizations. Almost every significant product launch, market entry, or transformation effort runs through them.

Think about what that means. The organizational mechanism most responsible for generating new value is the one most likely to fail. That’s not a talent problem, and it’s not a strategy problem. It’s a structure problem. And that structure problem starts with the org chart.

When companies assemble cross-functional teams, they typically do it by looking at who’s available, who reports to the relevant manager, and who’s been trusted before. It feels efficient. It’s actually limiting. Because the org chart was never designed to answer the questions that matter most for innovative work: What capabilities do we actually need here? Who has the authority to make which decisions? And what happens when this team’s priorities conflict with someone’s day job?

I was talking recently with a leader at a Fortune 500 company about an innovation team that had every ingredient for success: the right talent, the budget, the executive sponsorship. And yet they were stuck. Moving too slow. Producing too little. When we dug in, the problem was clear: team members were getting conflicting instructions from their functional bosses. One person wasn’t even allowed to talk directly to a key stakeholder because that relationship had to be “carefully managed” through someone else. The org chart, with all its invisible chains of protocol and power, was overriding the team’s ability to function.

This dynamic is more common than most leaders want to admit. A huge proportion of what passes for meeting time in modern organizations isn’t really work. It’s coordination and political navigation. People meeting to figure out whose priorities win. People meeting to make sure the right person feels included before a decision gets made. People meeting because when the org chart doesn’t give you clarity, meetings feel like the next best substitute.

When I looked at this company’s calendar data, they weren’t short on time or effort. They were drowning in coordination overhead, a direct tax on innovation levied by structural ambiguity.

The mindset shift that I’ve seen unlock the most stuck teams sounds simple, but requires real discipline: start with the roles you need, not the people you know.

Most leaders build teams by asking, “Who do I trust? Who do I know? Who reports to me?” That instinct comes from a good place: familiarity reduces friction, shared history speeds things up. But what it actually produces is teams organized around comfort rather than capability. Teams that reflect the org chart rather than the challenge.

What I push leaders to do instead is start with the work. What is the purpose of this team? What does success look like in the next 90 days? And then: what roles (what specific capabilities and decision authorities) do we need to get there? Only once you’re clear on the roles do you fill them with souls.

This reframe changes everything. It forces you to be explicit about what the team actually needs. It opens the door to people who might not be in the usual network. And it creates the foundation for something that I think is the most underused tool in the innovation toolkit: a team charter.

A team charter is a living document that makes the implicit explicit. It captures why the team exists, what they’re trying to accomplish in a defined window, who holds which roles, and, critically, who has authority to make which decisions, even when others disagree. Even when that person’s boss disagrees.

For that Fortune 500 innovation team, the charter was the unlock. Once the team had documented what they were there to do, who could talk to whom, and which decisions lived with the team versus the hierarchy, the political noise dropped. They started shipping. The company was so struck by the result that they chartered 10 high-priority teams across the organization and sent them to work in the same way.

I’ve watched this happen enough times to believe something that sounds almost too simple: in a moment when we don’t have certainty, something we can have is clarity. The org chart won’t give you that. But a well-designed team charter will.

The org chart isn’t going away, and it shouldn’t. Hierarchy has its place, in performance management, in scale, in the systems that keep complex organizations running. But when it comes to the work of innovation, HR leaders have a real opportunity to push for structures that organize around purpose rather than reporting lines.

That means advocating for team charters before high-stakes cross-functional projects launch. It means helping senior leaders hold the duality (hierarchy and agile teaming) rather than assuming one replaces the other. It means being willing to say out loud what most people only mutter in hallways: the org chart shows you who reports to whom, but it tells you almost nothing about how work actually gets done.

Innovation doesn’t fail because people aren’t talented or motivated enough. It fails because we ask talented, motivated people to do uncertain, creative work inside structures designed for something else entirely. The org chart isn’t the villain, but mistaking it for a roadmap is.

About the Author

Karina Mangu-Ward has a decade of experience partnering with leading non profits, foundations, city agencies, and community stakeholders. At August, Karina is an organizational design consultant who helps nurture more creative, self-managing and productive teams. She’s partnered with New York City’s Department of Education, Sundance Institute, Planned Parenthood, PepsiCo and Chanel. Prior to joining August, she worked for 10 years for nonprofits, foundations, government agencies, and community networks tackling complex organizational and social challenges. Her passion is helping groups navigate ambiguity, gain insight and unlock highly complex challenges. Her forthcoming book, Teams That Meet the Moment: 9 Practices for Unlocking Performance and Growth in Uncertain Times is available for purchase in May 2026.

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The Human Side of the Algorithm: Why Personality Dictates AI Adoption

March 23, 2026

The Human Side of the Algorithm: Why Personality Dictates AI Adoption

The rapid integration of Artificial Intelligence into the modern workplace is often discussed in terms of technical capability, processing power, and economic disruption. However, as we move past the initial novelty of generative tools, a more nuanced reality is emerging: the success of AI adoption depends less on the software itself and more on the psychological makeup of the people using it.

In a recent study of over 4,000 employees conducted by Online DISC Profile, we found that 76% of workers are now comfortable using AI in their daily roles, and perhaps more surprisingly, given the headlines regarding automation, is that 71% of respondents feel secure in their positions and are not worried about AI taking their jobs. Yet, despite this general comfort, there remains a significant friction point: one in five employees (22%) indicated they would likely leave a job due to “excessive” AI use.

To understand this mixture of attitudes towards AI, we must look at the workplace through the lens of personality. Using the DISC methodology, we can see how different behavioral types perceive AI not just as a tool, but as a digital colleague.

Individuals with a “Dominant” personality type are driven by results, speed, and control. For a D-type, AI is a natural ally. Because these tools work instantaneously, they allow D-types to complete tasks at an accelerated pace, enabling them to stay in control while managing a multitude of complex projects.

However, this relationship is not without its tensions. The D-type’s inherent need for autonomy means they may view AI with caution if the tool begins to dictate how they work rather than simply assisting them. If the AI becomes a bottleneck or operates in a way that feels restrictive, the D-type may reject it in favor of maintaining their own methodology.

“Influence” types are characterized by their social nature and need for interaction. On the surface, Large Language Models (LLMs) appeal to I-types because they are inherently conversational and often programmed to provide “cheery” or high-energy responses.

The risk for I-types is rooted in social approval. These employees are highly attuned to the culture of their peer group. If a team’s prevailing sentiment is skeptical of AI, an I-type is likely to avoid using it to maintain social cohesion and alignment with their colleagues. For them, AI adoption is a communal decision rather than a technical one.

Employees who fall into the “Steadiness” category value systems, processes, and consistency. They often gravitate toward AI because of its systematic nature; they view the technology as a reliable, process-oriented teammate that can handle repetitive structures.

But the S-type is also the most empathetic of the personality groups. They place a high emphasis on the needs of others. If they perceive that increased AI usage is leading to staff reductions or harming the well-being of their colleagues, they are likely to opt out of using the technology as a matter of principle. Their loyalty lies with the people, not the process.

The “Conscientious” personality type is defined by a desire for accuracy and a deep-seated aversion to risk. For a C-type, AI is a double-edged sword. It can be an invaluable asset for identifying human errors and performing “extra steps” in quality control.

Conversely, the well-documented tendency for AI to “hallucinate” or provide confidently incorrect information is a deal-breaker for many C-types. Because they fear being associated with incorrect data, they may avoid AI entirely rather than risk the fallout of a machine-generated error.

As businesses navigate this transition, leaders must recognize that a “one-size-fits-all” AI mandate will likely backfire. 

Jeannie Bril, industrial/organizational psychologist, says that if a person feels forced to use AI, this may challenge their identity and impact their psychological well-being: “Individuals in creative jobs may experience negative impacts on their psychological well-being if they are forced to use AI tools at work because they previously had the freedom to choose how to do their jobs.”

To manage a workforce with differing personalities, managers must prioritize two things: transparency and choice.

  • Transparency: If a company uses an automated note-taker in meetings, this must be communicated clearly. Some employees may feel uncomfortable being recorded or monitored by an algorithm, and their privacy concerns must be respected.
  • Choice: Employers should evaluate which AI applications are “imperative” and which are “optional”. Giving employees the agency to decide how AI fits into their workflow, rather than mandating its use, preserves their sense of identity and prevents the “AI burnout” that leads to turnover.

Ultimately, the goal of integrating AI should be to augment human capability, not to override human personality. By understanding personality types within a team, businesses can move away from a “tech-first” approach and toward a “people-first” strategy that respects the diverse ways we think and work.

About the Author

After spending seven years in various Advertising and Marketing positions, Adam Stamm left his corporate job and joined his family’s business.

Here he regularly has opportunities to support products and services that focus on professional development, self-awareness, and improving workplace culture.

Adam is passionate about connecting with others and solving problems. Outside of his day job, he serves on the board of directors of the Greater Philadelphia Chapter Association of Talent Development where he works to provide educational programming around talent development to chapter members.

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Employee Leave Isn’t the Problem. The Real Issue Is Lack of Planning.

March 09, 2026

Employee Leave Isn’t the Problem. The Real Issue Is Lack of Planning.

Leave management is one of the most frustrating and most predictable parts of human resources.

And that is exactly the problem.

Employers often feel caught off guard when an employee needs time away from work for a medical condition, family care or a personal matter. The process becomes emotional, reactive and operationally disruptive. But the reality is this: over the course of any employee’s tenure, leave is not an exception. It is an inevitability.

Every workforce will experience illness, injury, pregnancy, caregiving needs, mental health events and life transitions. These are not outliers. They are part of the employee lifecycle. Yet many organizations still treat leave as a one-off rather than building systems that anticipate it.

The issue is not that employees need leave. The issue is that too many organizations are not designed to handle it well when it comes up.

Most employers have compliance mechanisms in place. They know how to issue an FMLA notice or respond to a doctor’s note. But compliance alone is not a strategy.

Where organizations struggle is in the absence of a clear, coordinated leave management program that addresses:

  • how leave is requested and tracked
  • how coverage is handled operationally
  • how supervisors respond in the moment
  • how leave interacts with ADA obligations and workplace accommodations
  • how employees are supported during and after the leave period

Without this infrastructure, every leave request becomes a disruption instead of a manageable workflow.

Proactive employers recognize that leave is a predictable operational reality and build programming around it.

When employers take the time to define their leave processes in advance, the experience changes dramatically.

Supervisors are no longer guessing what to do or reacting emotionally in the moment. HR is not reinventing the wheel with every request. Employees are not left feeling guilty, unsupported, or confused about their rights and responsibilities.

Clear programming allows organizations to respond consistently and with confidence. That includes:

  • clear expectations for how and when employees request leave
  • defined processes for job coverage and workload redistribution
  • structured communication points during leave
  • thoughtful return to work practices that support reintegration

This is not about eliminating the operational impact of leave. It is about managing it intentionally.

One of the most effective ways to reduce the strain of leave is through thoughtful flexibility.

In some environments, that may mean remote work or modified schedules. In others, particularly in the public sector, healthcare or frontline environments, it may mean shift swapping, modified assignments, or creative scheduling.

Not every role can be done from home. But every organization can evaluate where flexibility is possible.

When employees can adjust schedules for medical appointments or caregiving needs without immediately moving into formal leave status, organizations often see reduced absenteeism and improved morale.

Flexibility, when structured well, becomes a pressure valve that supports both operations and employees.

One of the most significant risks in leave management is not legal. It is cultural.

Supervisors often carry the operational burden when someone is out. That burden can lead to frustration, especially when leaves are extended, intermittent or complex.

Left unaddressed, that frustration can show up in subtle but damaging ways such as tone, comments, skepticism  or disengagement. Employees quickly pick up on this and it erodes trust.

At the same time, employers are right to be attentive to potential misuse. That is part of good program management.

The solution is not to ignore concerns or to assume the worst. It is to train supervisors to operate with professional judgment, to follow process, avoid assumptions, document appropriately, and escalate concerns through the proper HR channels rather than reacting emotionally.

Employees should not feel like they are doing something wrong when they use a benefit or protection they are legally entitled to.

The way supervisors respond in these moments defines the organization’s culture far more than any written policy.

Another common breakdown point is what happens when statutory leave ends.

When FMLA or state leave entitlements are exhausted, the conversation is not necessarily over. Employers may have additional obligations under the Americans with Disabilities Act to evaluate whether additional leave or other workplace accommodations are reasonable.

Too often, organizations treat the end of FMLA as the end of the process.

In reality, it is often the beginning of a different conversation, one that requires individualized assessment, interactive dialogue and thoughtful decision-making.

Organizations that build a coordinated ADA and leave management program, which I often refer to as programming the interactive process, are far better positioned to navigate these transitions consistently and defensibly.

At its core, leave management is not just a compliance function. It is a human one.

Employees request leave at some of the most difficult moments in their lives: a cancer diagnosis, a complicated pregnancy, a parent in decline, a mental health crisis or recovery from injury.

How an organization responds in these moments matters.

Employers that approach leave with clarity, structure and empathy see measurable benefits: higher engagement, stronger retention and increased trust in leadership.

Those that operate in crisis mode often see the opposite: burnout, resentment and turnover.

Mental health-related leave requests continue to rise across industries.

Employees are more willing to seek support, but they are still highly sensitive to how those requests are received. Stigma has not disappeared. It has just become quieter.

Supervisors need guidance on recognizing potential leave triggers, responding without prying into protected medical information and connecting employees with HR and available resources.

Organizations that treat mental health with the same seriousness and neutrality as physical health create a safer and more stable workplace for everyone.

The cost of poor leave management extends beyond legal exposure.

It shows up in:

  • operational disruption
  • supervisor burnout
  • inconsistent decision making
  • employee disengagement
  • avoidable turnover

Replacing experienced employees is expensive. More importantly, it disrupts the organization’s continuity and culture.

When employees see that their colleagues are treated with fairness, respect and professionalism during leave, it reinforces their trust in the organization.

Leave is not the problem.

The absence of planning is.

Organizations that move from reactive response to intentional design, build clear processes, train supervisors and align ADA and leave programming, are able to manage leave in a way that supports both operations and people.

That is the goal.

Not perfection. Not zero disruption.

But a workplace where employees can navigate life’s inevitable challenges without fear and where employers can respond with consistency, clarity and care.

That is what good leave management looks like.

About the Author

Rachel Shaw, founder of Rachel Shaw Inc., is a nationally recognized ADA and leave management expert and sought-after speaker known for helping organizations turn legal compliance into operational strength. With more than two decades of experience, she designs in-house systems that allow employers to manage accommodations with both legal precision and human-centered leadership. She is the creator of the ADA Interactive Process Hallway® protocol, now used by thousands of organizations to manage disability accommodation requests confidently, consistently, and with care.

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