A retiree with $1.4M in a rollover IRA, $300k in a taxable brokerage, and a paid-off house lands on your site at 8pm. They want to know if you have a household minimum, what your AUM fee is at $1.7M total, whether you use Schwab or Fidelity as custodian, if you offer financial planning separately from investment management, and how you compare to a robo-advisor at 0.25 percent. Your intro-call form puts them on the calendar in 11 days. Meanwhile a competitor publishes a fee schedule and offers a same-week call.

SleekAI maps your fee schedule as a CPT in wp_posts, with AUM tiers (1.0 percent under $1M, 0.85 percent on $1M-$3M, 0.65 percent on $3M-$10M) in postmeta, household minimum, custodian taxonomy (Schwab, Fidelity, Altruist), planning packages ($2,500 one-time plan, $400/month ongoing planning), and the linked Form ADV Part 2 PDF. The bot computes 0.85 percent on $1.7M (about $14,450 annually), confirms Schwab custody, quotes the $2,500 plan option for the prospect who only wants planning, and links to the ADV. It hands off only to book the discovery call, not to answer math.

Generic chatbots fall apart here because they cannot read your tiered fee schedule, cannot quote your real custodian relationships, and cannot honor SEC marketing rule constraints on testimonials and performance. SleekAI keeps every reply within fee schedule and ADV disclosures, refuses to predict returns, and appends a standard fiduciary disclosure to fee answers. Compliance signs off on the system instruction and the bot enforces it across every turn.

A prospect comparing four RIA firms is comparing on five axes that matter: fee at their asset level, custodian relationships, household minimum, planning availability separate from management, and fiduciary status. The firm that posts a transparent fee schedule on the website and can answer the math in chat wins a disproportionate share of qualified inquiries. SleekAI turns your existing fee schedule, ADV, and service catalog into the answer engine.

Fee tiers live in postmeta. Custodians live in a taxonomy. The planning package and the AUM model both have their own CPT.

The bot reads all of it on every turn and quotes the exact annual dollar fee for the prospect's household size. The compliance story is the second reason to ship this. A generic chatbot will happily predict returns, recommend specific funds, and slip into testimonial language that the SEC marketing rule restricts.

SleekAI refuses each of those at the system instruction level, appends a fiduciary disclosure on fee quotes, and keeps every reply within process and pricing. The chat log is fully retained, queryable by date and topic, and exportable to your archival system to satisfy Rule 204-2 record retention. The first month after rollout, most firms see intro-call volume drop modestly while close rate on the calls that do happen climbs sharply, because price and custodian objections are already handled before the call begins.