When was the last time you audited how your team actually spends their time?
Picture this: Your star sales director just closed a million-dollar deal, but her calendar last week shows only 12 hours dedicated to actual prospect conversations. The other 28 hours? Lost to CRM updates, internal meetings, and chasing approvals that could have been automated. McKinsey research suggests that over half of the workday is spent on repetitive tasks like these, which are prime targets for process streamlining via AI agents. Internal knowledge of exactly how employees are spending their time is commonly a blind spot that most companies have no measures for, causing them to under-invest in new opportunities like AI.
Every executive I know protects their time carefully. They intuitively understand that “time is my scarcest resource.” Yet time remains the most mismanaged asset in modern organizations. CFOs can detail every dollar spent down to the cent, and HR leaders can tell you each employees’ performance every 6 months. But ask how employees are using their working hours? You’ll get blank stares and vague anecdotes from most teams.
This common company blindspot is no one’s fault, it’s a gap in company org structures. No business function squarely owns “Time” as a resource, or “Productivity” as a metric they’re responsible for. HR and IT functions strive to influence these outcomes, but bring siloed approaches to solving these problems. And sure, there are attempts to measure productivity by functional leads (e.g. sales calls per week, tickets answered, hours logged). But these measures are a poor proxy for an employee’s contribution. Executives understand and trust in the 80:20 principle (that 80% of the impact comes from 20% of the work). They understand that in 100 tickets answered, only a small percentage actually moved the needle for the business.
So how do we fix this time blind spot? To start, we need to more deeply understand how much this problem is costing your company, and a more nuanced understanding of how time can be spent, which I’ve included below.
Time: The Ultimate Blind Spot
The hidden cost of low-value, repetitive activities won’t appear on your P&L – but it silently siphons growth, demotivates talent, stifles innovation, and overpays for transactional work.
This isn’t trivial. According to Laszlo Bock, Former SVP of People Operations at Google: “Too many highly paid employees are stuck performing tasks that don’t require their expertise — it’s a massive waste of talent and money.”
For example, companies are commonly paying many sellers over $100 per hour for repetitive tasks like pre-call research, CRM data entry, proposal generation, and follow-up emails. On average, sellers spend over 15 hours on these activities every week, activities that can now be massively streamlined thanks to AI agents. For a seller earning $200K/year, that’s $70,000 companies are paying to every salesperson for highly streamlinable work!
What if AI agents were used to streamline these tasks? Suddenly, every salesperson has 10 extra hours per week to spend time in the field building customer relationships. Freeing up that time not only cuts costs, it also opens up new potential for more high value work that moves the needle. When talented people get bogged down in transactional work, they can’t focus on what actually drives revenue – customer loyalty or innovation.
What happens if we wait to address these transactional tasks? Then you’re likely to get less productivity from employees who want to go home from work early who are feeling “burned out.” Every employee craves growth, impact, and meaningful challenges. When forced into repetitive tasks, they disengage and eventually leave. Gallup reports that over 50% of employees are “quiet quitting,” emotionally detaching because they don’t see opportunities for growth or meaningful contribution. That means you’re already not getting the best from half of your team!
Once you lose a team member, you’ll face a new costs: loss of institutional knowledge, loss of productivity as you find a replacement and onboard them, and loss of work-life balance for your remaining staff who are now at higher risk of attrition.
All in all, there are three massive costs that few in the executive team are discussing from transactional work. Companies overpay for rote work ($70K/year per seller!), face significant retention risks (with approximately half of employees “quiet quitting”), and miss out on higher level impact that becomes possible when repetitive tasks are streamlined. These heavy costs are the problem that AI agents can dramatically reduce. But to deploy them efficiently, companies need greater line of sight into how employees are working today.
The Work Hierarchy: From Transactional to Visionary
As mentioned earlier, we know that not all work is created equal. Below is a hierarchy that illustrates the hierarchy of value creation in a company:
Level 1: Transactional Work – Routine, rule-based tasks that keep operations running but add little strategic value. Think data entry or standard reporting. Studies from McKinsey, Microsoft, and Asana estimate that transactional tasks take up between 50% – 60% of knowledge workers’ day.
Level 2: Analytical Work – Problem-solving within defined boundaries — analyzing campaign results, troubleshooting system errors, or interpreting performance metrics.
Level 3: Tactical Work – Coordinating teams, optimizing processes, and preventing future problems to drive specific outcomes.
Level 4: Strategic Work – Shaping long-term direction, aligning functions, and making proactive decisions to stay ahead of market shifts.
Level 5: Visionary Work – Setting new directions, defining purpose, and creating transformative ideas that redefine how work gets done.
Here’s an important insight about this work hierarchy: “visionary work” isn’t reserved for just the C-suite. A marketer who writes a trend-setting piece, a recruiter who redesigns the hiring experience, or a customer success rep who launches a loyalty initiative — all are examples of visionary contributions at every organizational level. But employees will never get to these impactful projects if most of their day is taken up by transactional work.
Consider Netflix’s approach. While competitors focused on optimizing DVD shipping logistics (Level 1-2 work), Netflix employees were freed up to envision streaming as the future of entertainment (Level 5 work). That shift in how teams spent their time transformed an industry.
Why It’s Time to Reinvest in Time
Cutting transactional work isn’t merely an “efficiency play.” It’s a talent strategy and a growth unlock. By automating routine tasks with AI agents, you give employees more work they can feel excited about, plus the bandwidth and opportunity to make bigger contributions.
To make this a reality requires more curiosity about how employees spend their time, and more investigation about how new tools can help. When you free your team from routine tasks, you’re not just buying back hours — you’re unlocking human potential.
Ready to turn time into your strongest growth asset? With GearGarden.ai, you can identify, automate, and eliminate transactional tasks so your teams can focus on more impactful work. The path to a more empowered and productive workforce is one call away — coordinate a free consultation to learn more.