Signify's Interact update lets lighting networks flag their own faults

Among the problems Signify's new Smart Faults software is built to catch is a thoroughly unglamorous one: a component swapped in the field that nobody ever recorded. That capability came out on November 10, 2026, as part of a batch of Signify Interact features covering city streets, sports fields, solar poles and the inside of buildings. The batch also includes two AI tools.

The AI will get the attention. The plumbing deserves it more. Most of what Signify announced, and what LEDinside carried the following day, deals with how lighting faults get found, how energy gets measured and how lighting data reaches other systems. That matters most to the people who answer for a lighting network after the ribbon is cut: the city lighting manager reconciling an asset register, the parks director paying for field lights, the facilities director trying to get lighting onto the building automation system.

Greg Nelson, Signify's EVP of systems and services, made the same pitch in the announcement. In his telling, customers now expect connected lighting to cut energy, simplify operations and speed up maintenance response, rather than simply switch light points on and off remotely.

Fault patterns, field meters and solar data

Smart Faults works by correlation. It ties related events together, highlights anomalies that keep recurring and automates follow-up actions. Signify lists four things it can detect: intermittent communications, unreported component replacements, recurring faults and abnormal energy consumption. The company says the outcome is earlier intervention, fewer unnecessary site visits and more accurate asset records. It's available globally as an additional Interact capability.

Correlation is what separates this from an ordinary outage alarm. A single dropped node tells a maintenance team very little. The same node dropping off repeatedly, or a pole drawing more power than its neighbours, points to a pattern that could justify one planned visit instead of several reactive ones. Asset accuracy has a quieter payoff. For a team that plans replacement budgets from its register, a part swapped without a record leaves a small error in every forecast that relies on that register.

Sports facilities get a narrower but very practical addition. Interact can now show energy use by individual field or court, track it over time, and calculate totals and averages without extra energy meters. It's included in the Advanced tier of Field & Court software services. For a parks department with many lit fields, the comparison is plain: per-field figures from software it already licenses, or a sub-meter installed at every field.

Solar lighting gets the most open treatment. Interact now exposes solar asset, operational, energy, fault and lighting-control data through secure APIs, available globally, so cities can feed it into the smart-city, asset-management and municipal applications they already run. For operators whose solar poles sit outside their main lighting records, this is the feature that brings them into the same fleet view.

Commissioning, gateways and other people's switches

Indoors, Signify is aiming the update at offices, schools, hospitals, shops, warehouses and industrial facilities. The commissioning changes come first. The Interact Builder toolset now supports off-site, offline and Bluetooth-assisted workflows. Expanded lighting behaviors let occupancy response, daylight settings, hold times and vacancy levels be tuned space by space. Offline and off-site workflows could let much of a configuration be prepared before a site network is ready, though Signify frames the benefit simply as simpler commissioning.

Interact Building Insights pulls energy performance, system health and maintenance information into a cloud dashboard. From there, customers can compare energy across buildings, identify faults, track device operating hours and look up device and spare-part information. That last item is the useful link: the fault and the replacement part appear on the same screen.

The integration piece is the LCN1870 gateway. It connects Interact to cloud services and supports BACnet and local API integrations with compatible building applications. Signify also now offers Europe-based cloud services for customers with data residency and compliance requirements, which takes away one common objection for European public-sector and healthcare buyers before procurement even raises it.

The hardware additions in this release are:

• IRT9030 IR commissioning remote, for faster and more precise commissioning
• LCN1870 gateway, linking Interact to the cloud with BACnet and local API support
• KT200 Sensor DALI Extender Kit, adding sensing and control to DALI-2 luminaires
• Push Button Interface Module, letting third-party wall switches work with Interact
• NatureConnect skylight surface-mounted kit, widening installation options for indoor daylight effects

Two of those lower the cost of saying yes. The KT200 adds sensing to DALI-2 luminaires, so a site doesn't need new fixtures to get sensor data. The push button module lets a building keep the wall switches it already has. Signify describes both as making the Interact ecosystem more open and flexible. For a facilities team weighing a retrofit, that means less hardware to strip out.

There's a baseline worth keeping in view. Signify's connected lighting page claims up to 80 percent energy savings for controllable LED lighting with occupancy sensing and daylight harvesting, compared with conventional lighting, citing the European Commission's BUILD UP portal. That figure covers the switch to LED plus controls. Read that way, the November features protect that baseline: they keep a controlled system tuned, mapped and repaired so the savings it was bought for actually hold.

Against what controls makers predicted

Two weeks before the release, Craig DiLouie, education director of the Lighting Controls Association, published results from a Lighting Controls Academy survey of manufacturers on AI in lighting controls in inside.lighting. Its rankings line up closely with where Signify put its effort.

The interface question is where the overlap gets specific. Asked how users will mainly interact with building analytics, 62 percent of respondents said dashboards with AI-generated insights. Fifteen percent said conversational assistants, and another 15 percent said AI agents that recommend actions. Signify shipped the dashboard as a product and the chat window as a beta, which matches the 62-to-15 split controls makers predicted between AI-enhanced dashboards and conversational assistants.

Architecture follows a similar line. In the survey, 46 percent expected AI processing to run in a hybrid edge and cloud setup and 38 percent mainly in the cloud. A gateway that offers both a cloud connection and local APIs fits either camp.

The match has a clear limit. DiLouie describes the survey as informal, heavy on speculation and not projectable to the industry. Its respondents are manufacturers, so the owner preferences in the results are sellers' guesses about what buyers want. One manufacturer's release lining up with a manufacturers' survey shows the vendor side agrees with itself. Whether building owners actually pay for fault correlation is something only renewal and attach rates will show.

AI tools built to cite their sources

The two AI features are deliberately contained. The Signify Smart Assistant answers natural-language questions about products inside Signify's connected-lighting platforms, drawing source-backed answers from approved documentation. The beta Interact AI lets users query building data in plain language without clicking through several reports and dashboards. Both read and explain. Neither is described as changing a setting.

That restraint matches where the industry sees near-term value. DiLouie's write-up cites the National Lighting Bureau's April 13, 2026 Think Tank, which concluded that AI is an immediate issue for lighting. It also found that AI's biggest early contribution is helping practitioners with product comparison, documentation and specification work. A product-knowledge assistant restricted to approved documents sits squarely in that lane.

Restricting answers to approved sources has a practical logic as well. A 2022 study in Electronic Markets tested how maintenance experts in an industrial setting came to accept intelligent systems. It found that acceptance depends first on performance, but transparency shapes both trust and how good the system appears to be. The study covered one maintenance scenario, not lighting specifically. Still, it suggests that an assistant showing where each answer came from has a better chance of being used by the technicians it was built for.

The next signal is how Interact AI comes out of beta. The largest group in the survey, 46 percent, expects AI to eventually adjust control settings on its own within limits that humans set. Another 31 percent expect it to optimize settings with human approval. If a future Interact release lets the AI change hold times or vacancy levels rather than just report on them, facilities teams will need to decide who sets those limits and who signs off.