Planning AI Into a New Build

Building new is the single best moment to get smart home infrastructure right. Once this window closes, it does not reopen without significant cost.

The math is simple. Pulling KNX bus cable through open walls during construction costs a few hundred euros in materials and marginal extra labor. Pulling that same cable through finished walls costs thousands, if it is even possible. Every cable you do not pull now is a feature you cannot add later without opening walls again.

This applies equally to homes and commercial spaces. A new office, practice, restaurant, or coworking space has the same window of opportunity. The difference is that commercial spaces often have even more to gain from AI (energy optimization, occupancy management, automated scheduling) and the infrastructure cost is a smaller percentage of the total build budget.

Yet most people make the smart home decision too late. The architect finishes the plans. The electrician quotes conventional wiring. And only then does someone ask, "should we make it smart?" By that point, the electrician has already planned cable routes, the budget is tight, and compromises start. Sensors get cut. Rooms get skipped. The system ends up half-done, permanently.

The fix is straightforward: bring smart home planning into the project at the same stage as kitchen design or bathroom layout. It is infrastructure, not an accessory.

Three decisions shape everything that follows: protocol, cabinet, and cable routing.

Protocol choice comes first. KNX is the standard for long-term flexibility with 500+ manufacturers and proven 30-year backward compatibility. Loxone offers a more integrated, single-vendor experience with a polished app. Both are excellent foundations for AI. A hybrid approach (KNX backbone with wireless extensions) is increasingly common and often the pragmatic choice. This decision must happen before electrical plans are drawn because it determines cable types, routing, and cabinet requirements.

Technical cabinet placement is the second decision. Every smart home or smart office needs a central location for actuators, the server, network equipment, and power management. In a home, this is typically a dedicated cabinet in a utility room or garage. In an office, it is a server closet or dedicated technical room. Plan for at least twice the DIN rail space you think you need. Components accumulate over time.

Cable routing is the third. Work with your electrician to plan bus cable runs to every switch location, every sensor point, every blind motor, and every HVAC zone. Pull Cat6 ethernet to every room and to the technical cabinet. Run empty conduit to locations where you might want sensors later but are not sure yet. The rule is always the same: pull more cable than you think you need.

For commercial spaces, add cable runs for access control points, ceiling-mounted occupancy sensors in open-plan areas, and sub-metering on electrical circuits. These are hard to add later and essential for office AI that optimizes energy and manages space utilization.

AI needs data. The more sensors you install, the smarter your system can become. This is not about having gadgets in every corner. It is about giving AI the inputs it needs to make good decisions.

The minimum viable sensor set per room: one temperature sensor and one motion/presence sensor. This gives AI enough to manage basic climate control and occupancy-based lighting. For a three-bedroom home with kitchen, living room, two bathrooms, and a hallway, that is roughly 16 sensor points.

For optimal AI performance, go further. Add light level sensors in living spaces so the system can balance natural and artificial light. Humidity sensors in bathrooms and kitchens for ventilation control. Door and window contacts on exterior openings so AI knows when to adjust heating. CO2 sensors in bedrooms and offices for air quality management.

A well-sensored family home might have 30 to 50 sensor points. That sounds like a lot, but with wired infrastructure, each additional sensor is a modest incremental cost during construction. These same sensors become the foundation for AI features that do not exist yet but will emerge as the technology evolves. AI capabilities expand monthly. The sensors you install today enable features that have not been invented yet.

For offices and commercial spaces, sensor density matters even more. Desk-level occupancy sensors enable hot-desking optimization. Zone-based CO2 monitoring drives intelligent ventilation. Per-circuit energy monitoring identifies waste patterns AI can eliminate. A 200m2 coworking space with proper sensor coverage can save 20-30% on energy costs through AI optimization alone.

Mistake 1: deciding too late. The most damaging and most common. If smart home planning starts after electrical plans are finalized, you are working around constraints instead of designing freely. The result is always compromise: fewer sensors, limited cable routes, a technical cabinet that is too small.

Mistake 2: skimping on sensors. Budget pressure is real, and sensors are easy to cut because they do not feel essential at move-in. But every sensor you skip is data your AI will never have. Cutting the CO2 sensor in the bedroom saves € 150 now and costs you intelligent ventilation forever. Cutting motion sensors in hallways saves € 100 each and means your lighting can never be truly occupancy-aware.

Mistake 3: undersizing the technical cabinet. Smart homes and smart offices grow. You will add devices, upgrade servers, install a UPS, expand network equipment. A cabinet that fits perfectly on day one is too small within two years.

Mistake 4: not pulling spare cable. An empty conduit to that corner of the garden costs almost nothing during construction. Running cable to the same spot through a finished garden path costs a fortune. Pull bus cable and Cat6 to every location that could conceivably need it.

Mistake 5: treating smart home as separate from the electrical plan. The electrician and the smart home advisor need to coordinate. If they work independently, cables end up in the wrong places, the cabinet layout does not match the system design, and the commissioning phase becomes an expensive puzzle.

Architectural design phase (months 8-12 before move-in): Choose your protocol. Select a smart home consultant or advisor. Define the scope: which rooms, which functions, what level of automation. This informs the electrical plan.

Electrical planning phase (months 6-8 before move-in): Finalize sensor locations, cable routes, and technical cabinet specifications. Your electrician needs this information before ordering materials. This is the last moment to add sensor points without cost impact.

Rough construction phase (months 4-6 before move-in): Cable gets pulled. Bus cable, ethernet, conduit. Verify everything is installed before walls close. A missed cable run is nearly impossible to fix after plastering.

Finishing phase (months 1-3 before move-in): Devices get installed in their final positions. Switches, sensors, actuators go into the cabinet. The system gets programmed and commissioned.

Move-in and after: The AI platform connects to the infrastructure and begins learning. Within weeks, it starts recognizing patterns. Within months, it is actively optimizing energy, comfort, and scheduling. This is where the investment starts paying back.

For commercial spaces, the timeline is similar but coordination is more complex. Add time for access control planning, integration with business systems (booking platforms, POS), and compliance requirements.

Nexxteq supports KNX, Loxone, and hybrid setups. For new builds, the recommendation is straightforward: wire as much as possible with a proven protocol, install generous sensor coverage, and let Nexxteq add the AI layer on top.

The problems described earlier (deciding too late, too few sensors, a system that is "done" at move-in) are exactly what Nexxteq's approach avoids. The wired infrastructure your electrician installs is static: it provides reliable data and control for decades. The AI layer Nexxteq adds is dynamic: it gets smarter every month as new models, new capabilities, and new optimization strategies are deployed. Your home or office improves over time without any hardware changes.

This matters for homes (lighting that adapts to your family's routine, climate that predicts your comfort preferences, energy optimization that runs silently in the background) and even more for commercial spaces (HVAC that responds to real occupancy, lighting that adjusts to activity patterns, energy reports that tie directly to operating cost reductions).

For DIY-oriented builders, Home Assistant is a capable open-source platform that works with wired infrastructure and gives full control over configuration. The tradeoff is ongoing maintenance: updates, troubleshooting, and keeping up with a rapidly evolving AI ecosystem. If you want professional AI that continuously improves without your involvement, Nexxteq handles the complexity so the smart space simply works, and keeps getting better.

Yes, if you're building new, whether it's a house, apartment, villa, vacation home, pool house, office, practice, restaurant, salon, or coworking space. The infrastructure cost during construction is minimal compared to the lifetime value. Even if your budget is tight, pull the cables and install the sensors now. You can activate AI later, but you cannot pull cables through finished walls later.

No, if you're building a very simple structure where automation adds no value (a storage shed, a basic garage). Or if your total electrical budget genuinely cannot absorb the 30-50% premium. In that case, plan conduit runs anyway. Empty conduit costs almost nothing and keeps the door open for the future.

The Nexxteq angle: For the "yes" readers, Nexxteq turns your new build's infrastructure into a living system that learns, adapts, and improves every month. The AI layer evolves at dizzying speed, and a managed platform ensures you benefit from every advance without lifting a finger. For the "no" readers who pull conduit but hold off on smart home for now, Nexxteq can connect later when you're ready, and the AI will be even more capable by then. Either way, the construction phase is your one chance to get the foundation right. Everything else can be added, upgraded, and improved over time.