A SaaS founder with $1.2M ARR, $180k monthly burn, and a Series A closing in six months lands on your site at 10pm. They want to know if you handle 13-week cash forecasts, board deck prep, and 409A coordination, what your monthly retainer looks like at their stage, and whether you have worked with vertical SaaS in the past. Your contact form sends them to Calendly for a 45-minute discovery call three days out. Two of your competitors offer same-week calls and a public price page. By the time you talk, the founder has already signed elsewhere.

SleekAI maps your packages stored as a CPT in wp_posts, with monthly retainer tiers ($4,500 Foundations, $7,500 Growth, $12,000 Series A Prep) in postmeta, hours included, deliverables list (13-week cash forecast, monthly close review, board deck, KPI dashboard), industry tags (SaaS, ecommerce, agencies, healthtech) in a taxonomy, and case studies linked by ACF relationship field. The bot asks ARR, burn, stage, and industry, then recommends Growth at $7,500 with a Series A Prep add-on closer to fundraise, and surfaces the two SaaS case studies most relevant to their stage.

Generic chatbots fall apart here because they cannot read your retainer tiers, cannot match a $1.2M ARR SaaS to your portfolio of similar engagements, and cannot apply your real qualification rules (no startups under $50k MRR, no agencies under $2M revenue). They quote industry averages, miss the no-fit cases your team would turn away, and waste your time on tire-kickers. SleekAI treats your service catalog as live data and qualifies only against your published criteria.

A founder hiring a fractional CFO is making one of the most consequential decisions of the early company. They are comparing three or four firms on scope, pricing, industry fit, and trust signals. The firm that responds first, with the exact tier that matches their ARR and stage, and a relevant case study attached, wins the engagement before the others have even returned the email.

SleekAI turns your existing service catalog and case study library into the answer engine. Retainers live in postmeta. Industries live in a taxonomy.

Case studies link through ACF. The bot reads all of it on every turn, so the recommendation a founder sees at 10pm on a Sunday is the same recommendation your senior partner would give in a Monday call. The economics matter too.

A fractional CFO partner bills at $300 to $500 an hour, so every discovery call with a no-fit prospect is real lost revenue. The bot deflects below-threshold leads automatically with a polite no and a free template, while routing serious in-fit prospects straight to a pre-scoped Calendly. The first month after rollout, most firms see discovery-call volume drop 30 to 50 percent while close rate on the calls that remain doubles.

The chat log captures every exchange so you can refine the qualification rules over time, retire tiers that nobody asks about, and lean into the packages that drive the most pipeline.