Can AI Free Up Capacity For Your Team?

Nov 1

TLDR: Yes.

AI is one of the most exciting opportunities we've seen in our careers. We use it inside The 128 Collective every week, and we help clients build it into how their teams work. When it's set up well, you see gains in productivity, profit, and quality.

There are seldom companies not building AI into their 2027 strategy. At a minimum, it’s a consideration for anyone wanting to run a profitable company next year. If you’re asking yourself if you should invest in it; the answer is yes.

The real question is around how you invest in it.

Join us Nov 11: What 2027 Will Demand of Your Operations? In 45 minutes, we'll walk through the three levers (systems, processes, and behavior) and show you where to start, so your 2027 plan, and your AI investment, deliver. It's free. Register now →

If we haven’t adopted AI yet, are we too late?

Not at all. In fact, the opportunities are rapidly expanding.

AI adoption has moved fast. AI adoption has moved fast. A study of nearly 6,000 CEOs, CFOs, and senior executives across the US, UK, Germany, and Australia found that roughly 70% of their firms now actively use AI. Most of those leaders haven't seen a measurable productivity lift yet, but they expect one: an average 1.4% boost over the next three years.

That gap between adoption and results? That’s your opportunity. It means the upside hasn't been captured yet, so firms aren’t “pulling ahead” as much as you might think they are yet. (Seriously, just get off LinkedIn and go for a walk). Even senior leaders are still early, averaging about 1.5 hours of AI use a week. (Federal Reserve Bank of Atlanta)

But the savings opportunity? Very real. In Workday's survey of 3,200 employees at $100M+ organizations, most said AI saves them one to seven hours every week. The catch is that nearly 40% of that time currently goes to rework: fixing errors, rewriting, and double-checking. Only 14% of employees consistently get a clear, positive net result. (Workday, Jan 2026)

What are the firms who are seeing crazy gains from AI doing differently?

AI is excellent at making individual tasks faster: a first draft, a summary, a status update. The teams that turn those faster tasks into real capacity pair AI with a strong operational foundation.

That foundation looks like this:

Everyone can see what's on each person's plate
Requests come in through one clear path
Hand-offs have owners, so nothing waits in limbo
The team works inside a small set of tools, set up the same way
Leaders can check status without asking for it

With those in place, every hour AI saves lands somewhere useful instead of leaking back out.

MIT's research on enterprise AI pilots points the same way. The pilots that scaled were the ones built into how the organization actually works day to day, with line managers, not just central AI teams, leading the integration. (Computing, on MIT NANDA's GenAI Divide report)

This is becoming even more important as project management tools turn into AI platforms. Agents run on your structure: your fields, your statuses, your workflows. A clean, well-organized workspace gives you agents that genuinely help.

How do you implement AI in a way that creates more capacity?

The path is almost stupidly simple. This is the sequence we use with clients, and on our own firm.

See the work on everyone's plate (Capture). Bring every active project, request, and internal commitment into one view, including the hidden work like quick asks and fire drills. Once you can see it, you can make room for it.
Connect it to outcomes (Connect). Tie each piece of work to a result the business wants in 2027 (or beyond, depending on how far out your planning schedules go. Some of our clients operate on 3-5 year plans instead of annual plans). This shows you exactly where AI will have the biggest payoff, and often frees up capacity on its own.
Make the tools you already own work for you (Clarify). Set up your current tools to match how work really moves: clear statuses, clear owners, one place to look. A clean, consistent setup is what lets AI plug in smoothly across every team.
Add AI where it frees the most capacity (Control). Now AI has a solid structure to run on. Point it at the specific hand-offs and repeat tasks where hours are lost, and measure the time it gives back.

How do you make AI actually stick in an organization?

Our favorite question. And we believe this will be the most significant differentiator in the next few years.

You can buy any tool in the world, and it will only pay off when the behavior around it is dialed in.

This is where great AI rollouts set themselves apart. Instead of a one-time training, a dialed rollout plan helps each role see exactly how AI fits into their day: what to use it for, where to check its work, and how the saved time gets used.

The Workday research we mentioned earlier? It also found the organizations getting the strongest results were the ones that reinvested in their people, through training and redesigned roles, alongside the technology itself. (Workday, Jan 2026)

That's why the final step of our method includes change management and adoption, not just setup. We define what "using it well" looks like for each role, build simple check-ins, and stay with the team until the new way of working feels natural. Systems and processes give you the structure. Behavior is what makes it last.

Is your team ready for AI to free up capacity?

As you finalize your 2027 plan, these four questions will show you how ready your foundation is:

Can a leader see what's on everyone's plate without asking? If yes, AI has reliable information to work from.
Does each piece of work connect to a clear outcome? If yes, you'll know exactly where AI will pay off most.
Is your team working in the same tools, set up the same way? If yes, AI can roll out consistently instead of team by team.
Do you have a plan for the time AI saves? If yes, those hours turn into better work, not just more of it.

Four yeses means you're ready to scale AI with confidence. If a few were "not yet," you now know exactly where to start, and every one of them is very fixable.

AI can absolutely free up capacity for your team. The firms that get there aren't the ones with the most tools. They're the ones that make their work visible, connect it to outcomes, set up the tools they already have, and then let AI do what it does best.

You don't need a new hire or a full overhaul to begin. You need a clear view of how work moves through your team today, and a guide who has done this before.

That's exactly what we're covering this month.