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Those 11 Minutes AI Saves You — What Will You Do With Them?

A learn article on how AI in marketing, sales, and customer service frees people from repetitive tasks, citing Microsoft and NBER research on time saved and productivity gains, with examples including NC Fusion, Northrop & Johnson, and Microsoft support.

ai-marketingevidenceskill
2026-08-19SupaMarketers5 min read

A while back, a friend of mine in sales complained to me: his company gave every employee an AI assistant, and three months on, some people are using it like pros while others won't touch it at all.

Same tool, same team — how can the gap be this big?

I later came across a Microsoft study, and the answer is remarkably simple: for most people, saving just 11 minutes a day is enough to make the tool feel useful.

11 minutes. Not 11 hours.

That tiny threshold decides whether AI becomes your assistant or just another piece of desk decoration. What I want to talk with you about today is the math behind those 11 minutes — and a much bigger equation: inside companies, AI is shifting from "saving people time" to "delighting customers."

The 11 minutes AI saves you, flowing back to delighting customers

Let Me Tell You Three Stories

Where to start? Marketing, sales, customer service — one at a time.

The first story takes place in North Carolina.

There's a youth sports club there called NC Fusion. The club's marketing team uses Microsoft Copilot together with Dynamics 365 Customer Insights. What they do sounds unglamorous: writing different emails for different families.

What did it look like before? Every family got the same pile of mass emails — if your kid plays soccer, you still got ads for lacrosse. Now? Families with soccer players only receive soccer-related content.

Their IT lead said something that stuck with me: with AI helping produce content, customer engagement rose from 10% to 30%.

Threefold.

Think about it: a community sports club, same budget, same staff — all they did was let AI swap "one-size-fits-all" for "one-per-person," and engagement tripled. That's the power of personalization in marketing.

The second story unfolds on the deck of a superyacht.

Who are the customers of the yacht brokerage Northrop & Johnson? High-net-worth individuals considering purchases in the millions of dollars. Their sales director put it bluntly: with these clients, you cannot afford a single interaction that makes them feel they aren't being treated as special.

A busy client may give you only a few minutes. Within those minutes, you have to come across as knowing them inside out. Otherwise, the deal is gone.

So they wired together Dynamics 365 Sales, Customer Insights, and Copilot, putting the client's entire journey at the salesperson's fingertips. When to reach out, what to talk about — AI does the homework, and the human delivers the final touch: building trust.

This isn't speculation. In Microsoft's own survey, 79% of salespeople who used Copilot for Sales said they had less administrative work, 67% said they spent more time with customers, and 64% said they could personalize communication more precisely.

Where does the time come from? Squeezed out of chores that create no value. And where does it go? Back to the customer.

The third story happens at the other end of the call.

Customer service may be where AI shows results fastest. In November 2023, the National Bureau of Economic Research (NBER) published a working paper studying support teams that used a generative AI conversational assistant: on average, each agent resolved 14% more issues per hour.

Even more interesting is the breakdown: novice and low-skill agents saw productivity jump 34%.

Wow. In other words, AI's greatest strength is pulling newcomers quickly up to nearly veteran level. The veteran's mental database of "I've seen this problem before" gets fed directly to the new hires. The study also found, as a side note, that customer sentiment improved and employee turnover dropped.

Microsoft itself is the best sample. They handle more than 145 million customer contacts a year, using Dynamics 365 Customer Service to mobilize the accumulated experience of their engineers. The person in charge of their support strategy said the hardest part for a support engineer is empathizing with the person on the line while mentally rifling through piles of technical documentation. Copilot took over the document-digging, letting people focus on the human work: truly hearing the other person.

Three Stories Done. What Do We See?

Marketing, sales, customer service — three completely different jobs, yet AI is doing the same thing:

Pulling people out of repetitive labor, and spending the saved time on the things only humans can do.

Marketing, sales, and support: AI takes the chores, saved time goes back to humans

Writing emails — AI can do that. But understanding a family's real situation takes a human. Looking things up — AI is faster. But making a customer feel respected takes a human.

So the question has never been "will AI replace you." The question is: the time AI saves you — what will you do with it?

Marketers can spend it on genuinely insightful creative work. Salespeople on building relationships and closing deals. Support agents on actually solving problems. Managers on leading their teams.

Or you can do nothing at all and scroll your phone.

That's where the divide begins.

Those 11 Minutes, and Those 11 Weeks

Back to the math from the beginning.

Microsoft's study had another set of numbers: those who got real results saved 14 minutes a day on average — about 5 hours a month; the most efficient saved 30 minutes a day, or 10 hours a month.

And how fast did all this happen? 11 weeks. In less than a quarter, people reported improvements in productivity (75%), enjoyment of work (57%), fewer meetings (37%), and work-life balance (34%).

So if you want to roll out AI in your organization, my advice comes down to three lines:

Use it every day. This isn't software you install once and forget — it's a new habit to build, and the earlier you build it, the earlier you benefit.

Teach everyone to "manage" this assistant. Treat it like an assistant, not a search engine. Which tasks to hand over and which need your own judgment — that sense of the boundary is worth dedicated training.

Find a destination for the saved time. Time saved but unscheduled won't turn into a habit. Help your team point that time at the work only humans can do.

The tools are already sitting there. What divides people was never the tool — it's the person using it.

Perhaps before long, "knowing how to use AI" will go the way of "knowing how to use Excel" today: no longer a skill, but a ticket of admission.

I hope that ticket stays in your hand.