Why This System Exists
GlobeStart helps global founders set up UK companies, banking, Stripe/PayPal, and payment infrastructure correctly and safely. The challenge wasn't demand; it was educating, qualifying, and following up at the level of detail this topic requires, without burning the team.
Challenges
Large Volume of Inquiries with Repetitive Questions:
- "Will I pay taxes if I don't live in the UK?"
- "Is this legal for Stripe/PayPal?"
- "What about addresses, VPNs, phone numbers, banks?"
Prospects at Very Different Levels:
- Some just curious
- Some ready to pay now
Risk
Wrong advice → account closures, compliance problems
No Structured, Intelligent Follow-Up
Based on what was actually said in chats
What We Built (Precise Architecture)
For GSC, the system goes beyond a single chatbot. It's a 3-agent architecture:
1. Main Orchestration Agent (Frontline)
This is the agent people talk to.
Responsibilities:
Explain:
- UK Ltd basics
- England & Wales registration
- Registered/trading address differences
- How to structure things for Stripe/PayPal and banking in a safe, compliant way
Ask smart questions:
- Where they live
- Where clients are
- Type of business
- Risk factors
Guide:
- What package fits
- What they can legally do
Offer to:
- Book a meeting (office, online, WhatsApp, Google Meet)
No artificial limit on calls or meetings:
- If a lead is serious, they can talk to someone
2. Analysis Agent (Conversation Intelligence)
This runs in the background over all chat + call data.
Reads:
- Chat logs
- Intent signals
- Objections
- Stage of each lead
Produces:
- Clear intent classification (e.g. "ready to register", "needs clarification on taxes", "payment-risk sensitive", "shopping around")
- Risk-awareness tags (e.g. sensitive use cases, high scrutiny industries)
- Readiness score based on:
- Language used
- Questions asked
- Information provided
Feeds this structured view into:
- CRM / lead tracker
- Follow-up logic
- Internal dashboards so the human team understands each prospect quickly
3. Follow-Up Agent (Personalized Nurture)
Driven by the Analysis Agent's output.
Automatically crafts and suggests/send follow-up sequences:
- Email
- WhatsApp
- Other agreed channels
Messages are:
- Specific to what the lead asked
- Based on their intent, not generic templates
Examples:
- If they were "ready but vanished" → a direct, helpful nudge
- If they had tax concerns → a message addressing those points
- If they were comparing providers → highlight GSC's transparency (no hidden fees, solid trading address, proper setup)
Can:
- Suggest booking/re-booking a call
- Push them one step closer to registration without human micro-management
Extra: Operational Safety & Positioning
Stays aligned with:
- No fake "tax evasion tricks"
- Focus on legality, risk reduction, and correct structure
Encodes:
- "We are in Lebanon, reachable, hands-on"
- "We avoid hidden fee traps; we warn you about providers that upsell at each step"
- All the differentiators you've defined in previous prompts
Impact
Every GSC inquiry:
- Gets clear, accurate education
- Is classified and prioritized
- Receives tailored follow-ups that match their real concerns
Result:
- Higher conversion from "curious" to "registered"
- Less manual explanation from your side
- A defensible, grown-up system that feels like a proper advisory firm with an AI brain, not a script
"Not just a chatbot - a proper advisory system that understands compliance and guides founders through complex decisions with clarity and confidence."