It quotes ranges, not firm prices. Whole-home installs have too many variables (shade count, keypad density, audio brand, programmer hours, network architecture) to firm up over chat. The bot scopes the project to a tier (Caseta, Athena, Control4 entry, Control4 high-end, Crestron Home) and quotes the range honestly. The firm number comes after the in-home design consultation, and ranges usually land within 15 percent of the final proposal because the scoping questions in chat do real work.

Yes, as long as your ecosystem positioning lives on your services pages. SleekAI reads that and recommends based on customer needs. Whole-home wired new construction with budget tends toward Lutron Athena or Crestron Home. Retrofit projects under 15 keypads tend toward Lutron Caseta or RadioRA 3 with wireless shades. Multi-tenant rental properties tend toward Caseta plus Sonos for simplicity. The bot lays out the trade-offs and lets the customer choose.

Yes. On new construction the timeline conversation is critical because pre-wire happens before drywall, and missing that window means surface-mount or no-go on certain devices. The bot asks build stage (foundation, framing, pre-rock, post-trim) and explains the window for design and pre-wire coordination. Customers who reach out at post-trim get walked through the options that remain (wireless lighting, battery shades) rather than promised a full Lutron Athena install that isn't possible anymore.

Yes. Multibot scopes each bot to its own pricing, system designers, and service hours. An integrator with a Manhattan retail showroom and a Hamptons new construction practice keeps each bot scoped to the right ecosystem mix, the right designer calendar, and the right service tier. Display conditions in the SleekAI wizard route customers based on URL pattern or selected service area.

Yes. Existing client service questions (reprogram a scene, swap a failed dimmer, add a keypad) route to a service ticket workflow rather than a new project consultation. The bot recognizes "existing system" language and pivots to the service path: dispatch fee, on-site rate, programming rate, and the right tech for the platform. Service techs roll up with the dealer login and the right programming tablet for the system in question.

Into the WordPress conversation log, tied to the customer record with model name, token usage, and the page URL the chat started on. The system designer opens the consultation appointment and sees the ecosystem preference, room count, shade scope, audio scope, build stage, and rough budget the customer described, which makes the consultation a design conversation instead of a discovery call.

Yes. Whole-home smart home projects depend on a real network, and the bot knows it. If your services include network design (Ubiquiti, Araknis, Pakedge, Cisco Meraki), the bot mentions that the project includes a managed network spec, not just a consumer router. Customers who haven't thought about WiFi yet learn upfront that the AP count, WAN, and PoE switch are part of the scope, which prevents the awkward post-install conversation about why the existing $80 router can't handle 70 devices.

If your shop integrates with Apple Home, Google Home, and Alexa, the bot explains the trade-offs honestly. Apple Home pairs cleanly with Lutron and most certified smart home brands but has gaps. Alexa has the broadest integration but lacks polished automations. Google Home is in between. The bot doesn't push one assistant; it explains what plays nicely with the chosen ecosystem and lets the customer decide. If the customer asks about Matter, the bot answers honestly about which devices in your supported catalog ship with Matter support today.