Pain Point #1: “The core principle is the '100:1 Rule': If a single AI error can wipe out the value of 100 correct actions, a human gatekeeper is a financial necessity, not a luxury.” Opportunity: AI RiskOps Copilot for customer-facing AI — a plug-and-play “kill-switch + guardrails + QA” layer for any AI output that touches users (support, outbound, product UIs). Auto-samples and scores outputs, hard-blocks disallowed claims (“red lines”), logs manual overrides, caps token overspend, tracks drift/decay, and produces a weekly “100:1 Risk Score” with ROI math founders can show boards. Price: $2,000–$6,000/month base + usage (e.g., $0.02 per analyzed output). One-time compliance setup: $3,500. First 10 Customers: - Head of Support/CS at B2B SaaS (20–500 employees) piloting AI replies in Intercom/Zendesk - Growth/RevOps Lead running AI email outreach at mid-market SaaS - Product Manager shipping LLM features in fintech/healthtech where claims/compliance matter - Marketing Ops Lead using AI for ads/landing pages at DTC brands with >$100k/mo spend - Director of Compliance at regulated startups (fintech, health, edtech) trialing AI MVP in 48 Hours: - Set up a “human-in-the-loop” QA step with Zapier: Intercom/Zendesk/Gmail -> Google Sheet review queue -> Slack approvals -> send - Build a Red-Line rules library (regex + keyword lists) in Google Sheets, enforced via a simple proxy (Cloudflare Worker) that blocks/flags outputs - Token watchdog: log model, prompt size, token cost per output to Airtable; daily Slack alerts over thresholds - Weekly Notion/Airtable dashboard: Support Ticket Reopen Rate, Manual Overrides, Sentiment deltas, Token $/ticket, Drift Score Justification (infer this in detail): - Demand: Founder lays out 9 cost buckets and the 100:1 rule. “If a single AI error can wipe out the value of 100 correct actions…” (Post 2). That’s explicit, current pain. - ROI: Avoid 1 compliance incident, PR blowup, or churn event and the tool pays for itself. Example: a $10k fine or losing 5 customers at $200 MRR for 12 months ($12k) dwarfs a $3k/month RiskOps layer. - Scalable: Connector library (Intercom, Zendesk, HubSpot, Gmail, Slack, Outreach) + horizontal “red line” packs by industry (fintech, health, education). 350 customers at $3k MRR = $1.05M MRR. Mostly software + rulesets; services only for setup. - Purple Cow/Controversial: Contrarian “slow AI down with gates” stance in an arms race. The “100:1 Risk Score” gives leaders a defensible number to keep AI investment going without getting burned. --- Pain Point #2: “LemonSqueezy… later had many issues with stability, and no clear roadmap/plan for itself after the Stripe acquisition. I won’t bet on them… Paddle was okay, but… felt like an old, stagnant solution.” Opportunity: MoR Switchboard — a “multi‑MoR” router + statusboard for SaaS. One abstraction layer that integrates Paddle, LemonSqueezy, Polar (and more), normalizes webhooks/tax data to one schema, routes each checkout by rules (country, tax profile, card success rate) and fails over when a provider degrades. Live “MoR Health” dashboard (API latency, payout delays, rejection spikes) and 1‑click migration wizards. Exports unified tax/VAT reports regardless of provider used. Pricing: $299–$799/month + 0.35–0.75% of processed GMV (tiered). White-glove migration: $3k–$10k. First 10 Customers: - CTO/Head of Finance at global SMB SaaS ($200k–$5M ARR) selling in EU/US with VAT obligations - Indie devs/micro‑SaaS doing $10k–$50k MRR who fear MoR outages or policy shifts - Heads of Payments at plugin/theme marketplaces needing resilient, multi‑MoR checkout - Growth leads moving from direct Stripe to MoR for tax offload, but wanting optionality MVP in 48 Hours: - Build a proxy checkout page (Next.js) that selects provider by country/currency via simple rules; implement two providers first (e.g., Paddle + LemonSqueezy or Polar) - Create a webhook normalizer (tiny service writing to one Postgres schema) + a basic status page that pings provider APIs and parses incident feeds - Deliver a CLI script to migrate products/prices and remap webhooks; handle 3 happy-path SKUs; unify tax reports manually as a spreadsheet first - Webflow site + Calendly + 3 “one-click” demo videos of failover in action Justification: - Demand: Founder distrusts current MoRs due to “stability… no clear roadmap… after [acquisition],” calls Paddle “old/stagnant” (Post 50). Clear desire for optionality now. - ROI: A single MoR outage for a $100k MRR company costs ~$3.3k/day. Faster go‑to‑market in new countries; finance time saved on tax/reporting. One outage averted pays for years. - Scalable: Add providers/regions; same abstraction sold across thousands of SaaS. Upsell analytics (auth rate by MoR/country), smart routing, chargebacks. Partnerships with MoRs. - Purple Cow/Controversial: “Multi‑MoR failover” breaks provider lock‑in. Bold, defensive posture for SaaS CFOs: if a MoR degrades or policy shifts post‑acquisition, flip a switch. --- Pain Point #3: “49% cancellation rate… Team chasing customers manually all day… Losing $1,500/month on failed deliveries… Generic solutions don’t work for Latin America COD.” Opportunity: WhatsApp COD Shield — region-tuned, human-in-the-loop WhatsApp agent that confirms COD orders with natural-language chat (Spanish/Portuguese slang-aware), asks for missing address parts, validates courier coverage before dispatch, pursues for 3 days with adaptive timing, then triggers a recovery flow (swap to a prepaid discount or alternate product). Flags risky geographies and auto-routes to couriers that cover the zone. Exposes courier coverage maps + cancellation analytics inside Shopify/VTEX/Woo. Pricing: $149–$399/month base + $0.06–$0.15 per COD order processed. Target 10x ROI if cancels drop from 40%→20%. First 10 Customers: - Head of Operations at COD-heavy Shopify/VTEX brands in Peru, Bolivia, Colombia, Mexico (100–1,000 COD orders/day) - Marketplace managers selling via Mercado Libre with off-platform COD - 3PL/last-mile providers offering COD who want to reduce failed attempts - WhatsApp-first DTC brands (fashion, beauty, small appliances) with >20% cancel rates MVP in 48 Hours: - Twilio WhatsApp Sandbox + Botpress/Flowise flow for confirm/clarify/cancel with Spanish/Portuguese prompts - Google Maps + local addressing APIs to cross-check address completeness; simple CSV of courier coverage zones - Shopify private app that intercepts COD orders and triggers WhatsApp; writebacks order tags and notes; do courier checks manually at first - Manual human-in-the-loop during business hours for edge cases; spreadsheet dashboard for cancel rate Justification: - Demand: Exact quantified pain (“49% cancellation… $1,500/month lost… generic ‘press 1’ ignored”). Urgent, pay-to-stop bleeding (Post 4). - ROI: Cutting cancellations from 40–50% to ~20–25% saves $1k–$10k/month per brand in wasted logistics and lost revenue. Payback in under one billing cycle. - Scalable: Repeatable workflows across SKUs/brands/markets. Land-and-expand into Mexico/Colombia/Argentina and later India/MENA COD. 3PL partnerships add hundreds of merchants at once. - Purple Cow/Controversial: Multi-day pursuit via WhatsApp + pre-dispatch courier coverage is hyper-local and anti-generic. Most tools “confirm in 2 hours;” this chases for 3 days and recovers into prepaid/alternate SKUs—aggressive, local-language, results-first.