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AI is creating a new challenge that most companies didn’t see coming

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"Visible effort doesn’t always indicate whether people are making decisions that move work forward," says Joe Malucchi.

Across industries, workplace conversations continue to shift as organizations navigate evolving expectations. Return-to-office mandates generate headlines, yet national labor data shows hybrid and remote participation holding steady. At the same time, emerging technologies are accelerating debates about how work is structured, with new policy proposals encouraging companies to rethink schedules, benefits and long-term workforce planning. Parallel research on burnout highlights that employee well-being remains a central leadership concern, reinforcing that productivity discussions increasingly focus not only on where people work, but on how work is organized. 

Quail Group, a consultancy specializing in organizational alignment, operational improvement, behavioral change and data strategy, believes another dimension of productivity deserves greater attention. Through its work with enterprise teams, Quail Group has observed that employees and leaders often spend significant time navigating decisions that could be simplified through stronger operational design. From the consultancy’s perspective, productivity may depend less on physical location and more on how organizations help people make informed, consistent decisions throughout the workday. 

This view aligns with a broader shift the team observes in how organizations evaluate performance. “Activity is highly visible, and by that I mean the meetings, messages, dashboards and project updates. But visible effort doesn’t always indicate whether people are making decisions that move work forward,” Joe Malucchi, co-founder of Quail Group, says. As digital platforms generate increasing volumes of information, employees often interpret reports, reconcile conflicting metrics and determine which signals matter before taking action. Quail Group notes that each additional decision consumes cognitive capacity that could otherwise support collaboration, innovation and execution.

AI is creating a new challenge that most companies didn’t see coming
Joe Malucchi, co-founder of Quail Group.

“Organizations often have more information than ever before, yet information becomes useful only when people can confidently connect it to a specific decision,” Zar Sewell, the consultancy’s co-founder says. “Every report, dashboard or AI-generated insight should help someone understand what comes next. That connection is where operational value begins to grow.”

The rapid adoption of artificial intelligence adds complexity. Quail Group notes that AI expands access to information, generates analyses within seconds and offers multiple pathways for completing tasks. Even so, the company cautions that more options do not automatically simplify decision-making. Leaders may receive several plausible recommendations, employees may compare outputs across multiple platforms, and teams may spend time evaluating alternatives before work progresses. According to Quail Group, in many cases technology increases the number of available choices while leaving organizations responsible for determining which choices best align with their objectives.

As these conditions evolve, context switching appears to have become a significant operational consideration. Quail Group notes that knowledge workers move between communication platforms, project management systems, reporting tools, spreadsheets, AI applications and meetings throughout a single day. It emphasizes that each transition requires employees to rebuild context before continuing their work. Over time, these repeated shifts may reduce attention available for higher value activities such as problem-solving, collaboration and long-term planning. 

Sewell believes organizations may benefit when operational systems reduce unnecessary mental effort. She says, “People bring valuable experience, judgment and creativity to their work. Thoughtfully designed processes allow those strengths to contribute where they matter most by making everyday decisions easier and helping teams stay connected to shared priorities.”

Organizations seeking to improve productivity may, therefore, benefit from examining the design of their decision environment before introducing additional technology. Quail Group often begins by identifying the questions teams struggle to answer consistently. These questions can reveal where processes, reporting and accountability have drifted apart over time. From there, consultants work with leadership and front-line employees to define success measures, strengthen reporting structures, document workflows and improve communication so information supports timely decisions across the organization.

Malucchi notes that this work begins long before dashboards or AI tools enter the conversation. “Technology becomes significantly more valuable when the operational foundation already supports good decision-making,” he says. “Clear ownership, well-defined processes and reliable operational signals help people spend less time validating information and more time applying it practically.”

This philosophy also shapes how Quail Group views organizational performance. The team encourages leaders to evaluate whether existing metrics primarily capture visible activity or whether they also reflect the quality of decisions being made across teams. A calendar filled with meetings or constant digital communication may indicate engagement, yet those indicators alone may offer only a partial picture of effectiveness. Metrics connected to decision cycles, ownership, execution and business outcomes may provide deeper insight into how work progresses from strategy to implementation.

As AI capabilities evolve, Quail Group anticipates leadership conversations shifting from adopting technology to designing environments where technology complements human judgment. That objective includes establishing consistent KPI definitions, improving data quality, creating a shared operational language and helping employees understand how information connects with everyday responsibilities. When those elements work together, AI-generated insights may become easier to evaluate because teams have greater confidence in the operational context supporting them.

Sewell emphasizes that employee participation plays an important role throughout this process. “People closest to the work often recognize where decisions become unnecessarily difficult,” she says. “Inviting those perspectives into operational design creates opportunities to simplify workflows while strengthening ownership across the organization.”

Building on this perspective, Quail Group helps organizations connect reporting, behavioral change management, organizational alignment and process efficiency into a unified operational framework. Its consultants work with clients to develop maintainable data and insight dashboards, strengthen stakeholder engagement, refine workflows and create stronger connections between strategic priorities and day-to-day execution. Through this work, the team aims to help organizations transform information into practical decisions that employees can apply with greater confidence.

As conversations surrounding AI, workplace flexibility, employee well-being and productivity continue to develop, organizations may find increasing value in examining the decisions that shape everyday work. Technology will continue expanding access to information, yet sustainable progress often depends on helping people recognize which information matters, who owns each decision and how those decisions contribute to broader organizational objectives. In Quail Group’s experience, productivity may become increasingly about enabling better decisions throughout the organization.

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