← B2B Consulting

5 Sample Cases — AI Workflow Before/After for Different Teams

All 5 below are SAMPLE (not verified) — modeled from public industry benchmarks + my own 14-day ship data (4 iOS apps + 5-side toolkit + 1 WeChat mini-program). When I get a real paying client, I'll replace one SAMPLE with a VERIFIED case and update this page.

No fake testimonials. Every case below is labeled SAMPLE — modeled from public industry benchmarks + my own 14-day ship data. When I get a real paying client, I'll replace one SAMPLE with a VERIFIED case and put their name here (with permission).

The goal of this page is to show you how I think, not to fake social proof. If you want real references, email me and I'll connect you to any early adopters.

5 SAMPLE cases / 0 verified yet Transparent data sources Real industry benchmarks

⚠️ Honest disclosure — what this page is

I currently (2026-05) have zero publicly verifiable paying client case studies. These 5 cases are all labeled SAMPLE because I:

Each case has a data source at the bottom. When real clients come, I'll replace SAMPLE tags with VERIFIED and add logo + quote (with permission).

SAMPLE

🛒Cross-border SaaS — 6-person content team

Industry: China-US SaaS cross-border · Team: 6 (3 content + 1 design + 1 SEO + 1 owner) · Monthly revenue: ~$11k

🔴 Before

  • 5 English SEO articles/week → content director patches with ChatGPT + self-proofreads, 4-6 hr/article
  • Keyword research via Ahrefs manual spreadsheet, 2 hr/month compilation
  • Social distribution: each article posted to LinkedIn/X/Reddit manually, 30-60 min/article
  • Monthly content KPI report for boss, rushed 2 hr on weekends

🟢 After

  • Claude Code agent + brand voice prompt customization → 1 hr outputs 5 article drafts
  • Keywords auto-fed from Ahrefs CSV → topic list + outlines generated
  • Distribution templatized: 1 article → auto-generates LinkedIn post / X thread / Reddit subreddit-specific versions
  • Monthly report switched to script auto-pulling from Plausible + Ahrefs API → AI summarizes

📊 Outcome (SAMPLE estimate)

25 hrsaved/week
$1.7k/mo labor saved
3 wkpayback period
$1.3kstarter cost

Data sources: Ahrefs 2025 content marketing benchmark (5-person team 12-18 hr/week writing) + ContentMarketingInstitute 2025 (B2B SaaS content labor ¥150-200/hr avg) + my own 14-day Claude Code实测 (60-70% time savings on content generation)

SAMPLE

🎬3-person content studio — YouTube + WeChat Official Account

Industry: Personal IP studio · Team: 3 (1 founder + 1 editor + 1 ops) · Monthly revenue: ¥30-60k volatile

🔴 Before

  • Each 12-min YouTube video: 16-20 hr total (script 4 + shoot 2 + edit 8 + thumbnail 2 + caption 2)
  • WeChat Official Account articles written by founder in spare time, 4/month, inconsistent
  • Comment replies handled personally by founder, 1 hr/day
  • Topic research: browsing Bilibili + YouTube history every weekend, 2 hr

🟢 After

  • Topic automation: scrapes Bilibili + YouTube favorites + comment high-frequency words → AI generates 5 weekly topics
  • Script AI first draft (45 min) + founder edits 1.5 hr → saves 2 hr/video
  • Thumbnail: AI generates 10 versions → pick 3 → A/B test, 30 min done
  • 1 video auto-rewrites to 1 long-form WeChat article + 5 Circle posts, founder reviews 30 min
  • Comment AI drafts replies → founder reviews all in 5 min

📊 Outcome (SAMPLE estimate)

2.5×output volume
8 hrsaved/video
2 mopayback period
$850starter cost

Data sources: TubeBuddy 2025 creator survey (mid-size channel avg 14-18 hr/video) + 自媒体公会 2025 报告 (Chinese creators AI saves 30-50% work hours) + my own Claude Code auto-generated dev.to/Substack/WeChat paste-ready实测

SAMPLE

📦20-person e-commerce agency — serving SMB brands

Industry: E-commerce agency · Team: 20 (5 CS + 5 design + 5 ops + 3 AM + 2 owner) · Monthly GMV: ¥150-250k

🔴 Before

  • CS: 5 people rotating, daily 800-1,200 inquiries, 80% identical questions (size/logistics/returns)
  • Design: 5 people, monthly 600-900 images, 80% template-based
  • Ops weekly reports: every Monday, 4-6 hr compiling data + writing client reports
  • New client onboarding: average 2 weeks (contract + system setup + SOP training)

🟢 After

  • CS: AI handles 70% first-line (size/logistics) + 2 humans for complex issues → 3 people freed up
  • Design: AI (Nano Banana etc.) generates 80% template versions → 5 people focus on high-ticket design + video
  • Reports: Feishu multi-dimensional table + AI auto-generates client PDF → 15 min/client
  • Client onboarding: templatized SOP + AI onboarding assistant → 2 weeks → 5 days

📊 Outcome (SAMPLE estimate)

3 peoplefreed up
$4.3k/mo saved
2 mopayback period
$4.3kenterprise/mo

Data sources: Alibaba/Taobao 2025 merchant survey (mid-size agency CS efficiency +60%) + China E-commerce AI白皮书 2025 (design AI replaces 50-70% template work) + mainstream agency public ARPU反推

SAMPLE

📞10-person SaaS customer service + sales team

Industry: China B2B SaaS · Team: 10 (4 CS + 3 BDR + 2 pre-sales + 1 manager) · ARR ¥3-5M

🔴 Before

  • BDR makes 50-80 cold calls/day, response rate 5-8%
  • Cold email: 5 templates, A/B testing shallow, conversion 1-2%
  • Pre-sales demo prep: 2-3 hr per client (material customization)
  • CS CSAT tracking via manual NPS survey, 30-day cycle

🟢 After

  • BDR: AI scrapes client website + LinkedIn → 5-line personalized opener auto-generated, response rate 12-18%
  • Cold email: AI generates 20+ variants by industry → weekly A/B finds winner, conversion 4-5%
  • Pre-sales demo: AI listens to 30-min discovery call → auto-drafts demo deck (45 min to revise and send)
  • CS: each ticket AI-scored for sentiment + churn risk in real-time → manager sees all on 1 dashboard

📊 Outcome (SAMPLE estimate)

2.5×cold response rate
+30%demo → close
3 mopayback period
$850/moretainer

Data sources: HubSpot 2025 sales benchmark (personalized email 2-3× response rate) + Gong.io 2025 (AI summary saves pre-sales 70% time) + my own cold email batch-1/batch-2 paste-ready real templates

SAMPLE

👤Personal IP / Freelancer — solo

Industry: Content creator + freelance client work · Team: 1 · Monthly income: ¥15-40k volatile

🔴 Before

  • Daily 60-70% time on repetitive tasks (reply DM / write copy / organize materials)
  • Client inquiry emails: 15-30 min each, 30+/month
  • Cross-platform distribution via manual copy-paste (WeChat /即刻/ Zhihu / Xiaohongshu)
  • Tax/finance: 1 day/month

🟢 After

  • Custom prompt library (113-160 signals) → repetitive tasks done in 5 min reuse
  • Client inquiry: mailto pre-fill + auto case study push
  • 1 content piece → AI auto-generates 4-platform paste-ready (WeChat +即刻+ Zhihu + Xiaohongshu)
  • Finance SOP: Feishu multi-dimensional table + AI auto-categorizes → 2 hr/month done

📊 Outcome (SAMPLE estimate)

3-4 hr/ day available time
+50%monthly income potential
2 wkpayback period
$99起starter

Data sources: My own 14-day ship 4 iOS apps + 5-side toolkit + 1 WeChat mini-program real time logs (Claude Code Pro $20/mo subscription) + 虎嗅/36氪 2025 creator economy reports

🛠Solo indie operator — eat-our-own-dogfood (VERIFIED, my own data)

Industry: Indie engineering + B2B AI consulting · Team: 1 (me) · Stack cost: $20/mo Anthropic Pro

🔴 Before this stack (April 2026)

  • 0 iOS apps shipped (3 in dev, blocked on signing)
  • 0 Gumroad SKUs LIVE
  • 0 B2B consulting funnel (just a Substack)
  • 0 Python orchestration tooling (every script ad-hoc)
  • ~6 hr/day on repetitive ops (reports / linting / state tracking)

🟢 After 14 days (May 4, 2026)

  • 4 iOS apps fully ASC-configured + TestFlight (pending Apple Paid Apps Agreement gate)
  • 5 Gumroad SKUs LIVE (4 packs $9.99 + 1 bundle $25)
  • Full B2B funnel (audit / quiz / quote / templates / refer / book-call) on jiejuefuyou.github.io
  • 53 Python lib modules + 1008 tests + 42 CLI subcommands (all in `orchestrator/`)
  • Daily ops down to ~1 hr/day (cron_runner + revenue_aggregator handle the rest)

📊 Outcome (VERIFIED — my own metrics)

14 daysend-to-end ship
$20/mototal stack cost
~83%time reclaimed (6→1 hr/day)
53 modulesorchestrator lib catalog

Data source: transparency.html (real numbers ledger, monthly update). Verifiable: GitHub commit history + ASC API state + jiejuefuyou.gumroad.com URL response codes (5 SKUs all return 200).

🎯 Want to see your own numbers?

I use the quote calculator to compute specific investment, use the ROI calculator to calculate payback period — both based on the same methodology as the 6 samples above, fully browser-local.

💰 Calculate my estimated quote — 30 sec 🧮 Calculate ROI for my team

Or email jiejuefuyou@gmail.com for a 30 min free discovery

🚀 Want to see real client cases?

Currently all 5 cases labeled SAMPLE (modeled from public data). After the first real client closes, I'll replace one with VERIFIED and update this page.

Get started via B2B consulting or email jiejuefuyou@gmail.com.

🎁 Bundle $25 (4 packs in 1) 💰 Buy AI Prompts ($9.99) ❓ B2B Consulting ➩

Get the B2B Case Study PDF + ROI framework

I'll email you the full 5-case breakdown (with data sources) + my ROI calculation framework. No sales pitch.

No spam. Unsubscribe anytime.