You Don’t Need AI to Make the Call. You Need It to Prep the Call.

I spent a few hours with two real estate brokers last summer — Seth and Steve from Transwestern, medical office buildings, outbound cold calls.

I asked them to walk me through exactly what happened before they picked up the phone.

For each property on their list, they opened CoStar on one screen and Google Maps on another. Pulled up the aerial view. Checked occupancy. Sometimes looked up a recent news story or lease renewal that might give them something interesting to mention. Then they dialed.

That process took 30-45 seconds per property.

Not bad in isolation. But run through 20 properties, and you’ve spent 15-20 minutes of research before a single conversation has happened. Over a full week, that’s a couple of hours every week just getting ready to do the actual job.

I described a different setup.

What a morning call sheet could look like

Imagine an email hitting your inbox every morning at 7am. Not just a list of names and numbers — a prep sheet.

For each property:

• A clickable Google Maps link (satellite view, right there)
• Current occupancy and building size
• One or two interesting data points: recent lease activity, building age, notable tenant
• Pre-sorted by priority (larger, newer buildings at the top)

You open it. You spend 30 seconds reviewing the first property. You call.

When you’re done, you move to the next one. All the research is already there. You don’t break your rhythm to look things up. You just work.

Seth’s reaction when I described it: “That’d be pretty great. Better than what our guy in the Philippines is doing.”

That’s the thing about this kind of automation — it’s often more thorough and more consistent than the manual alternative, whether that’s an offshore VA or the broker themselves.

The front stage vs back stage distinction

At Asian Efficiency, we talk about the difference between front stage and back stage work.

Front stage is the visible output — the call, the meeting, the presentation, the negotiation. That’s what clients see. That’s what creates value directly.

Back stage is everything that makes the front stage possible — the research, the context-gathering, the prep, the coordination. It’s invisible to the outside world, but it takes significant time.

Most people, when they think about AI in sales, imagine automating the front stage. AI sends the emails. AI handles the initial conversations. AI runs the pitch.

But the highest-ROI application is usually backstage automation. You don’t need AI to replace the relationship work. You need it to eliminate the manual research that happens before that work begins.

The call is front stage. The 30-second CoStar lookup before every call is back stage. That’s where automation creates clean, compounding gains without degrading the quality of the human interaction.

The pattern appears everywhere

I worked with a medical office building brokerage on a similar problem. Their sales team was manually pulling comparable sales data before every call to building owners — dermatologists, dentists, doctors who might be open to selling. The research was necessary. It gave them credibility in the conversation. But it also took time on every single call.

We built a system that automated the comp research into a pre-call briefing. Before each sales call, the relevant property comparables were already pulled and formatted. The salesperson reviewed for two minutes, then picked up the phone. No scrambling. No context-switching to look things up mid-call.

The calls didn’t change. The closers didn’t change. What changed was that they showed up with context already in hand, which made them sharper in the conversation.

The pattern is the same as the real estate call sheet: AI handles the invisible prep, the human focuses on the conversation.

How to think about this for your own work

The framework I use when helping clients figure out where to apply AI is simple: look for the 30-45 second tasks that happen right before the important human task.

Not the important task itself. The thing that happens just before it.

• Before every sales call: research prep
• Before every client meeting: reviewing past notes
• Before every investor intro: looking up the person’s portfolio and recent news
• Before every proposal: gathering relevant case studies

These tasks are too short to feel like a big deal individually. But they happen dozens of times a day, and they add up to hours per week of friction-creating busy work.

Once you identify these backstage patterns, the AI implementation is usually straightforward:

1. What data does the prep task require? (Property data, contact history, recent news, comparable deals)
2. Where does that data live? (CRM, industry database, Google, your own notes)
3. What does a “good” prep sheet actually look like? (Describe the format — what fields, what order, what’s most important at the top)
4. When does it need to be ready? (Morning briefing? 30 minutes before each meeting? On-demand query?)

The call sheet is a good example of how the output can be genuinely simple — a formatted email with 10 rows of structured data — while the underlying research takes meaningful time to do manually.

The salesperson’s job is to have the conversation. Everything else is backstage. That’s where AI earns its keep.

Thanh Pham is the founder of Asian Efficiency and runs the Two Hour Workday program. He helps business owners and sales teams use AI to cut backstage busywork and focus on the work that actually requires a human.