ALL WORK / ariane-ai-system


Ariane Client Management & AI Meeting Assistant
This is a comprehensive AI-powered client management system for Ariane that automates the entire client lifecycle.
ROLE
Lead Automation Architect
PLATFORM
n8n + Zoom API + OpenAI + SMTP
IMPACT
Automated client lifecycle & meeting intelligence
KEY METRICS
4 Core Stages
Stages
Sentiment & Intent
AI Analysis
Zoom, SMTP, Airtable, AI
Integrations
ARCHITECTURE
Four-Stage Lifecycle Automation
Ariane AI Ecosystem
├── Stage 1: Meeting Intelligence & Data Capture
├── Stage 2: Proposal Generation & Internal Approval
├── Stage 3: Client Response Tracking & CRM Updates
└── Stage 4: Payment Monitoring & Intelligent Follow-upsSCREENSHOTS · 3 IMAGES



Workflow breakdown
PHASE 01
Stage 1: Meeting Intelligence
Capturing and analyzing client meetings automatically
- Zoom Trigger: Automated retrieval of meeting metadata and transcripts
- AI Processing: Extraction of key discussion points, requirements, and pain points
- Structured Output: Generation of HTML summaries and sentiment analysis
- Task Automation: ClickUp and Outlook integration for action items
PHASE 02
Stage 2: Proposal Engine
Automated proposal generation and approval routing
- Dynamic Drafting: AI-generated proposals based on extracted client needs
- Approval Workflow: Multi-stage routing for internal Ariane sign-off
- Client Delivery: PDF generation and secure tracking link delivery
- Version Control: Automated handling of change requests and revisions
PHASE 03
Stage 3: Response Tracking
Intelligent monitoring of client engagement
- Email Parsing: AI classification of client replies (Accepted, Negotiating, Questions)
- Engagement Scoring: Link tracking to monitor proposal view time and focus
- CRM Sync: Real-time probability updates based on sentiment and behavior
PHASE 04
Stage 4: Payment & Follow-up
Closing the loop with automated financial tracking
- Payment Monitoring: Stripe/Bank webhook integration for invoice tracking
- Nurture Loops: Automated reminder sequences based on engagement scoring
- Outcome Analysis: Logging loss reasons or kickoff scheduling on success
Technical highlights
AI Analysis Prompting
- Multimodal extraction of budget, timeline, and decision-makers
- Speaker identification mapping for conversational clarity
- Sentiment-driven automated response drafting
Why this matters
01
Replaces manual client management with intelligent agents
02
Ensures zero-drop in client follow-ups
03
Provides data-driven sales insights for leadership
04
Scales professional proposal delivery without overhead
NEXT NODE IN THE WORKFLOW
Let's talk. →