all projects

production-ready super-workflows for sales, retention, content and intelligence

autonomous sales agent: zero lost leads

Control Center✅ Production Ready6-8 weeks
n8ncrmemail automationlead scoringpostgresql
%faster response (6h → 4min)
%reduction in lost leads
%more booked meetings

most smbs lose 30-40% of inbound leads because follow-up is manual and slow. this super-workflow captures every lead, scores them instantly, and runs personalized outreach sequences automatically—recovering €47k+ in lost revenue per quarter.

industry
b2b saas, professional services, agencies
implementation
6-8 weeks

the problem

35-40% of inbound leads never get followed up (lost revenue: €5-15k/month)

sales teams spend 15+ hours/week on manual crm entry and pipeline updates

lead response time averages 6 hours (should be <10 minutes for hot leads)

no visibility into pipeline health or stalled deals until it's too late

the automation solution

Lead Hunter workflow: captures leads from google maps, linkedin, website forms, referrals → stores in postgresql with enrichment data

Lead Enricher workflow: enriches with firmographics (company size, industry, location), technographics (tech stack), engagement signals → assigns score 0-100

Auto Outreach workflow: hot leads (70+) get 4-email aggressive sequence over 10 days. warm leads (40-69) get 4-email patient sequence over 6 weeks. personalized with {{firstName}}, {{companyName}}, {{observation}}

typical client results (6 months)

Lead response time: 6 hours → 4 minutes (98% faster)

Lost leads: 35% → <5% (86% reduction)

Meetings/month: 8 → 34 (+325% increase)

Admin hours/week: 15 → 1.5 (90% time savings)

lifecycle guardian: customer retention automation

Control Center✅ Production Ready6-8 weeks
customer successchurn preventionhealth scoringonboardingupsell
%onboarding completion increase (60% → 100%)
%churn reduction (15% → 7%)
%expansion mrr increase

most saas businesses lose 10-20% mrr annually to churn. customer success teams spend 80% of time firefighting at-risk accounts instead of driving expansion. onboarding is manual, health scoring is guesswork, and churn happens before you see it coming.

industry
saas, subscription businesses, membership platforms
implementation
6-8 weeks

the problem

onboarding completion rate 60% (40% of customers never fully activate)

churn detected too late (average 2-3 months after problem starts)

customer success teams reactive instead of proactive (no time for expansion)

health score based on gut feeling instead of real data

the automation solution

customer onboarding (7-email sequences, task completion tracking)

health score calculator (0-100 score based on usage, engagement, support, payment)

churn prevention engine (automated retention campaigns 30-45 days before cancellation)

typical client results

onboarding completion: 60% → 100%

time to onboard: 12 days → 4 days

churn rate: 15% → 7%

at-risk recovery: 0% → 50%

content factory: 3x content output, 80% less time

Growth Engine✅ Production Ready4-5 weeks
content automationai contentwordpresssocial mediaseo
%content output increase (4 → 12 posts/month)
%time saved (18h/week → 3h/week)
%organic traffic growth

content marketing teams spend 18+ hours/week on manual posting, cross-platform distribution and performance tracking. most publish 2-4 blog posts/month when they need 12+. content sits in google docs instead of generating traffic, leads and revenue.

industry
content marketers, agencies, b2b saas, solopreneurs
implementation
4-5 weeks

the problem

content teams spend 18+ hours/week on manual posting

you publish 2-4 blog posts/month but need 12+

content sits in google docs instead of generating traffic/leads

cross-platform distribution is manual and time-consuming

the automation solution

content ideation (youtube trends, google trends, keywords)

content generator (gpt-4 blog posts 1,800-2,200 words)

multi-platform publisher (wordpress, linkedin, twitter, youtube, email)

typical client results

blog posts/month: 4 → 12

social posts/month: 20 → 60

content creation time: 18h/week → 3h/week

organic traffic: 3,500 → 12,000 visitors/month

market pulse dashboard: 24/7 competitive intelligence

Intelligence Hub✅ Production Ready5-6 weeks
competitive intelligencemarket monitoringweb scrapingai insightspuppeteer
%less manual research (12h → 1h/week)
%more competitor changes detected
daysthreat detection time (vs 4 weeks)

most smbs spend 10-15 hours/week on manual market research and still discover competitor changes too late (4+ weeks). customer feedback is scattered and not systematically analyzed. strategic decisions are based on gut feeling instead of data.

industry
all industries, especially b2b saas & ecommerce
implementation
5-6 weeks

the problem

manual market research costs 10-15 hours/week

competitor changes detected too late (4+ weeks)

customer feedback scattered (reviews, tickets, social)

strategic decisions based on gut feeling

the automation solution

competitor monitor (pricing, products, hiring, website changes)

customer feedback aggregator (reviews, tickets, social, surveys)

market trend analyzer (google trends, news, reddit)

typical client results

manual research time: 12h/week → 1h/week (92% reduction)

competitor changes detected: 30% → 95% (+217%)

time to detect threats: 4 weeks → 2 days (93% faster)

strategic insights/month: 2-3 → 12-15 (+400%)

administration droid: automated back-office

Control Center✅ Production Ready6-8 weeks
invoicingcontractspaymentscompliancequickbooks
%faster invoicing (45min → 2min)
%faster payment collection (45 → 21 days)
%reduction in admin hours

most smbs spend 80+ hours/month on manual invoice creation, contract management and payment tracking. late payments account for 40% of all invoices. contract renewals get missed because no alerts exist.

industry
agencies, professional services, saas
implementation
6-8 weeks

the problem

invoice creation time: 45 min/invoice (too slow)

manual admin hours/month: 80 hours

payment collection time: 45 days average

late payments: 40% of all invoices

contract renewal misses: 8/year (lost revenue)

the automation solution

invoice generator (automatic from crm deals → quickbooks/xero)

payment tracker (3-day, 7-day, 14-day reminder sequences)

contract manager (docusign automation, renewal alerts)

typical client results

invoice creation time: 45min → 2min (96% faster)

manual admin hours/month: 80 → 16 (80% reduction)

payment collection time: 45 → 21 days (53% faster)

late payments: 40% → 5% (88% reduction)

youtube growth loop: 3x videos, 75% less time

Growth Engine✅ Production Ready4-6 weeks
youtube automationvideo seogpt-4youtube apicontent automation
%more videos (2 → 8/month)
%time saved (8h → 2h per video)
%better ctr (4.0% → 5.8%)

most creators publish 2 videos/month when they need 8+. video creation takes 8 hours per video. ctr is 4% (average) because metadata isn't optimized. channel growth is 360 subs/year instead of 1,920.

industry
content creators, educators, agencies, brands
implementation
4-6 weeks

the problem

videos published/month: 2 (too few)

time per video: 8 hours (ideation + scripting + metadata)

average ctr: 4.0% (sub-optimal)

subscriber growth/year: 360 (too slow)

the automation solution

idea engine (trending topics from youtube, google trends, competitor analysis)

script writer (gpt-4 complete scripts with hook, intro, main, outro, cta)

metadata optimizer (seo-optimized titles, descriptions, tags)

typical creator results

videos published/month: 2 → 8 (+300%)

time per video: 8h → 2h (75% reduction)

average ctr: 4.0% → 5.8% (+45%)

average retention: 52% → 62% (+19%)