Yes. Commercial buyers usually need multiple lines on the same submission (GL plus property plus auto plus WC plus umbrella), and the bot is configured to capture the cross-line shared fields once (NAICS, revenue, payroll, locations, prior carrier) and then drill into line-specific intake (cyber retention, professional limit, fleet count) in a single conversation. The producer picks up a structured payload rather than three disjointed form submissions.

Encode your carrier appetite by NAICS code or industry vertical as a page or ACF fields. The bot uses the prospect's described business (or self-selected NAICS) to recognise vertical, ask the right industry-specific intake questions, and route to the producer with the carrier appointments that actually write that class. NAICS-driven routing is the single most underrated lever in commercial intake, and a properly grounded bot uses it well.

No. Commercial premiums depend on underwriter review of full applications, loss runs, and often subjective risk assessment, none of which a chatbot can replicate or should attempt. The bot uses 'estimate', 'range', and 'subject to underwriting' language and routes the actual quote to a licensed producer working with the appropriate markets. That distinction is what keeps the bot safely on the right side of state DOI scrutiny on commercial work.

Yes. WC is state-specific (monopolistic states like Ohio, North Dakota, Washington, Wyoming have their own funds), and the bot is configured to recognise the prospect's state, route to the WC specialist licensed there, and politely decline or refer in monopolistic states where the agency doesn't write WC directly. Class code estimation comes from the producer, not the bot, since class assignment has real underwriting implications.

It asks for prior loss run count (typically three years) and prior claim history at an intake level, captures the answers, and routes to the producer with a flag if loss history looks complex (frequency, severity, open claims). The bot doesn't underwrite or rate loss runs, which a producer or underwriter does once the actual loss runs are reviewed, but it surfaces the right intake questions so the producer walks in informed.

GPT-4o and Claude Sonnet both handle commercial insurance terminology well and follow NAICS-based routing reliably. Stronger models are better at the multi-line submission flow and at keeping the carrier-versus-coverage distinction clean under pressure. Smaller or older models tend to drift on professional liability versus general liability, which is a remarkably common confusion on commercial leads. Bring your own key for whichever provider you prefer.

SleekAI logs every conversation in WordPress and pushes structured intake into AMS360, Applied Epic, EZLynx, HawkSoft, or NowCerts via webhook on the lead-creation event. The producer picks up the submission with NAICS, revenue, payroll, locations, lines requested, and rough scope already populated, so the producer's first hour is on the call with the prospect rather than retyping intake into the AMS.

Yes. Many commercial agencies run multibot, with a construction bot on construction-vertical pages, a tech bot on tech-vertical pages, a healthcare bot on healthcare pages, and a generic small-commercial bot on the main commercial pages. Each bot has its own system prompt, intake fields, and routing rules, which keeps the vertical-specific framing tight and the producer handoff cleaner than a single mega-bot trying to cover every vertical.