top of page
Wind Turbine Engineers

Smarter Buildings Start Here: How AI is Delivering Real ROI Right Now

  • Writer: Octavian Vasilovici
    Octavian Vasilovici
  • Aug 26
  • 3 min read
Professional woman architect working on building plan using modern technology equipment touchpad monitor screen computer. Engineer designing virtual sketch for futuristic construction

For years, AI in commercial buildings sounded like a pitch for the future. Today, it’s much simpler: it’s here, and it’s working.


Owners are already using AI to monitor equipment health, control loads more efficiently, automate compliance tracking, and even earn revenue through demand-side programs. The kicker? Many are doing this without replacing their existing systems.


In this article, we break down what’s actually working—and how to get started with AI in a way that makes business sense.



1. Use AI to Turn Data Into Action—Portfolio Wide

If your buildings already have automation systems and submeters, you have data. But most owners don’t have the time or visibility to act on it consistently.


That’s where portfolio-level platforms like Siemens Building X, Johnson Controls

OpenBlue, or EcoStruxure by Schneider Electric come in. These systems sit on top of your BAS and provide:

  • Real-time energy and comfort tracking across all sites

  • Alerts for performance issues or equipment drift

  • Forecasts for energy spend and emissions exposure


The result? Owners are seeing 10–30% energy reductions across buildings—by targeting the right fixes at the right time.


2. Spot Faults Before They Cost You

AI-powered fault detection and diagnostics (FDD) tools flag issues before they hit your bottom line. They don’t replace maintenance teams—but they help prioritize what actually needs attention.


Example: A rooftop unit is running longer than expected due to a stuck damper. Left alone, it wastes energy and shortens equipment life. With AI tracking trends in real time, issues like this get resolved early.


Pro tip: Pair FDD with ASHRAE Guideline 36 control sequences to bring consistency and performance to HVAC operations across your portfolio.


3. Tap Into Demand Flexibility (and Get Paid for It)

Energy markets are changing—and buildings that can shift demand at the right time are getting rewarded.


With AI, buildings can automatically:

  • Pre-cool or pre-heat ahead of peak hours

  • Reduce lighting or non-essential loads during price spikes

  • Enroll in Virtual Power Plant (VPP) programs to earn revenue by helping stabilize the grid


This isn’t a fringe use case. It’s quickly becoming part of the core strategy for buildings that want to lower costs and improve resilience.



Architect working with virtual reality goggles to look at white foam maquette of office buildings construction complex. Engineer using future innovation in architectural office.

4. Use Digital Twins to Plan Before You Spend

Digital twins create a live, virtual model of your building that mirrors real-world conditions—allowing you to test upgrades before implementing them.


You can:

  • Run retrofit scenarios and compare ROI

  • Optimize setpoints based on real-time use

  • Predict system behavior under different weather or occupancy loads


This is especially useful for large or complex assets, where operational changes carry significant risk or cost.


5. Stay Ahead of Compliance

With Building Performance Standards (BPS) now in effect in multiple provinces and states, energy and carbon targets are no longer optional.


AI-powered platforms can help:

  • Automate emissions tracking

  • Generate audit-ready compliance reports

  • Flag issues before they affect your performance scores


Bonus: integrating AI with an ISO 50001 energy management framework can improve access to incentives and capital for energy improvements.


A Realistic Roadmap: 12 Months to Smarter Operations


If you’re wondering where to start, here’s what’s working for owners we’ve advised:


Phase 1: Stabilize Controls (Months 1–3)

  • Fix sensors, schedules, and setpoints

  • Implement ASHRAE Guideline 36


Phase 2: Add Analytics + FDD (Months 4–6)

  • Layer analytics onto your existing BAS

  • Focus on HVAC and other large loads


Phase 3: Enable Demand Flexibility (Months 7–9)

  • Join demand response programs

  • Explore VPP participation


Phase 4: Leverage Digital Twins (Months 10–12)

  • Use models to plan retrofits and test operational tweaks

  • Start integrating with asset and energy management strategies


Governance Layer: Adopt formal energy management practices, like ISO 50001, to track performance, set goals, and improve continuously.



The Bottom Line

AI isn’t about replacing people or ripping out your systems. It’s about getting smarter with the tools you already have—and uncovering value that’s currently hidden in your data.


Owners who are acting now aren’t chasing trends. They’re cutting costs, earning incentives, and putting themselves ahead of the next regulatory wave.



Want to unlock AI-driven savings in your building portfolio?

OptiBuild helps commercial owners assess AI readiness, connect the right platforms, and implement smart upgrades with real ROI.


CONSULTING
ENGINEERS

As advocates for sustainable practices, we uphold science as our guiding principle, fostering innovation that propels businesses towards a greener future.

Follow Us

©2025 OptiBuild Consulting. All Rights Reserved. 

Design: Aliant Brands

bottom of page