AI Strategy

The Great Resignation

Kognitos
The Great Resignation

Key Takeaways

The Great Resignation is reframed here as a retention opportunity: the answer is to empower skilled workers with automation so they can focus on higher-value, relational work. Citing McKinsey research, the post argues compensation alone will not retain employees, especially millennials and Gen Z, who want autonomy and meaningful work but are instead bogged down in manual processes and left waiting weeks on backlogged automation teams. Traditional automation never took hold with skilled staff because their work is full of exceptions, and hard-coding those exceptions is costly and slow; worse, when an exception-handling expert leaves, that knowledge leaves too. Kognitos’ patented NLP lets employees resolve exceptions in plain English and teaches the platform to handle them in future runs. The result: greater autonomy, less loathed work, and stronger retention, turning attrition into a strategic advantage. See the Kognitos platform.

The Answer: Empower your skilled workers with automation and the ability to focus on higher level, meaningful work. Kognitos’s automation platform learns business logic from the business user and automates them without the need for a developer or a steep learning curve of a tool. Users can automate even exception laden tasks so they can focus on relational and meaningful work.

Another McKinsey 2021 study shows compensation alone will not retain employees. While having compensation rates commensurate with industry bands is important, many employees highlight other reasons for leaving their current employers including autonomy, and the desire to engage in more relational work. This is especially true of millennials and GenZ, who combined will soon represent over half of the workforce. However, many business processes are not designed to provide skilled employees with this desired work style. Instead, top talent is bogged down in manual processes, and even when attempts at automation occur, is forced to wait weeks or months for results due to backlogged automation teams. Frustrated, they look elsewhere for more meaningful work, costing companies a tremendous amount in recruiting, training and cultural costs. But if automation thrives at reducing manual work (and thus eliminating the problems described above), and if many companies today have some form of process automation, why hasn’t it given employees the autonomy and freedom to engage in the more relational work they so desire?

Traditionally, Automation has been focused on manual, repetitive, rules-based tasks. Naturally, this led to the automation of many back-office tasks previously either outsourced or handled by relatively unskilled labor. But automation has failed at large to take root with more skilled employees, the same employees that managers are struggling so mightily to retain. There are a few reasons for this. The first, is that the day-to-day work handled by a high skill employee often requires lots of exceptions. Processes have variance, and it is for this reason employers pay these employees to problem solve and handle these variations. In fact, this highlights one of the other risks with employees leaving, if an employee who handles a great deal of exceptions leaves, the knowledge of how to best navigate such exceptions departs with them, a significant loss for a company. The number of exceptions present in processes, even processes that are routine and manual, discourages the use of traditional automation, as the cost and maintenance of these processes outstrips their value. Furthermore, employees become frustrated when exceptions need to be built into the automation, as it can often take weeks for a dedicated automation team to build corrections into the workflow. This does not provide the type of autonomy employees desire, but instead leaves them dependent on backlogged development teams and losing faith in automation to benefit their day-to-day work.

In contrast to traditional automation, Kognitos’s platform provides the solution managers need and provides employees with the work experience they desire. Using patented NLP, Kognitos enables employees to problem solve exceptions in conjunction with automation, and through English instruct the automation software as to how to handle exceptions. The platform then learns from this experience and can automate these processes and exceptions in the future. With Kognitos, employees are given the autonomy they desire, no longer have to do much of the work they loathe, and have more time to focus on higher value, more relational work. In turn, greater retention and a happier workforce helps to turn the challenge of the Great Resignation into a truly strategic opportunity for managers. 

SeeItInAction

Fenton, Matt, Neel Gandhi and Taylor Lauricella, “When the Grass Is Truly Greener: How Companies are Retaining Frontline Talent.” McKinsey & Company (8 November 2021)

De Smet, Aaron, Bonnie Dowling, Marino Mugayar-Baldocchi, and Bill Schaniger, “Great Attrition or Great Attraction?: The Choice is Yours, McKinsey & Company (8 September 2021)

Frequently Asked Questions

The Great Resignation refers to the widespread wave of employee turnover in which large numbers of skilled workers voluntarily left their jobs. Research from McKinsey shows that compensation alone is insufficient to retain employees, with many citing a desire for autonomy and more meaningful, relational work. This trend is especially pronounced among millennials and Gen Z, who together will soon represent more than half of the workforce. For businesses, the cost of this turnover is enormous, spanning recruiting, training, and cultural disruption.
Traditional automation has primarily targeted repetitive, rules-based back-office tasks performed by lower-skilled workers, leaving high-skill employees largely unserved. Skilled employees handle processes with many exceptions and variations, which conventional automation tools struggle to accommodate without expensive custom development. When exceptions arise, employees must wait weeks or months for dedicated automation teams to build corrections, which eliminates the autonomy they desire. This dependency on backlogged development teams actually increases frustration rather than alleviating it.
Kognitos uses patented natural language processing (NLP) to let employees instruct the automation platform in plain English, without needing a developer or a steep learning curve. When exceptions occur in a process, the employee can problem-solve alongside the automation and teach it how to handle that exception in the future. The platform learns from each interaction, so over time it can automate increasingly complex processes including those laden with exceptions. This gives skilled workers the autonomy they want while freeing them from manual, repetitive work.
By automating exception-laden tasks, employees are freed to focus on higher-value, relational work they find meaningful, directly addressing a root cause of voluntary attrition. Workers gain autonomy because they can modify and extend automation themselves rather than waiting on IT or development teams. Companies also preserve institutional knowledge because the platform captures the logic behind how exceptions are handled, so that knowledge is not lost when an employee leaves. The result is greater retention, a happier workforce, and a strategic advantage in managing the challenges of the Great Resignation.
Consider a skilled employee who manages procurement or logistics processes that involve frequent exceptions, such as mismatched invoices or unusual shipping requirements. With traditional automation, each new exception type requires a formal development request and weeks of waiting for a fix. Meanwhile the employee is stuck doing manual workarounds and loses trust in automation. With Kognitos, that same employee can describe the exception in English and teach the platform how to resolve it, immediately extending the automation without any coding.
Companies should look for platforms that can be operated directly by business users without developer involvement, since gating automation on IT resources defeats the purpose of giving employees autonomy. The ability to handle exceptions and process variations is critical, as these are precisely the scenarios that skilled workers deal with daily. Platforms that learn from user interactions and continuously improve are preferable to brittle rule-based tools that require frequent manual maintenance. Finally, evaluators should consider how quickly employees can be productive on the platform, since a steep learning curve negates the retention benefits automation is meant to provide.
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