Enterprise Stablecoin Adoption: Ollama B2B Payment Solution Evaluation Guide

# Ollama Payment Processing Setup
import ollama
import json
from web3 import Web3

class EnterprisePaymentProcessor:
    def __init__(self, ollama_model="llama3.1"):
        self.client = ollama.Client()
        self.model = ollama_model
        self.w3 = Web3(Web3.HTTPProvider('your-ethereum-node'))
    
    def analyze_payment_request(self, payment_data):
        """Use Ollama to analyze and validate payment requests"""
        prompt = f"""
        Analyze this B2B payment request for compliance and risk:
        Amount: ${payment_data['amount']}
        Recipient: {payment_data['recipient']}
        Purpose: {payment_data['purpose']}
        
        Provide compliance score (1-10) and risk assessment.
        """
        
        response = self.client.generate(
            model=self.model,
            prompt=prompt,
            format='json'
        )
        
        return json.loads(response['response'])
    
    def generate_smart_contract(self, payment_terms):
        """Generate smart contract code for payment conditions"""
        contract_prompt = f"""
        Generate a Solidity smart contract for these payment terms:
        - Amount: {payment_terms['amount']} USDC
        - Due date: {payment_terms['due_date']}
        - Late penalty: {payment_terms['penalty_rate']}%
        - Conditions: {payment_terms['conditions']}
        """
        
        response = self.client.generate(
            model=self.model,
            prompt=contract_prompt
        )
        
        return response['response']

# Initialize payment processor
processor = EnterprisePaymentProcessor()

# Example payment analysis
payment_request = {
    'amount': 150000,
    'recipient': 'ABC Manufacturing Ltd',
    'purpose': 'Q4 raw materials procurement',
    'country': 'Canada'
}

analysis = processor.analyze_payment_request(payment_request)
print(f"Compliance Score: {analysis['compliance_score']}/10")
print(f"Risk Level: {analysis['risk_level']}")

# Install Geth (Go Ethereum client)
sudo apt-get update
sudo apt-get install ethereum

# Start private network for testing
geth --datadir ./enterprise-node init genesis.json
geth --datadir ./enterprise-node --networkid 12345 --http --http.addr "0.0.0.0" --http.port 8545

# Install Ollama on enterprise server
curl -fsSL https://ollama.com/install.sh | sh

# Pull enterprise-focused model
ollama pull llama3.1:70b

# Start Ollama service
ollama serve

// USDC Contract Integration
const USDC_ABI = [
    {
        "inputs": [
            {"name": "_to", "type": "address"},
            {"name": "_value", "type": "uint256"}
        ],
        "name": "transfer",
        "outputs": [{"name": "", "type": "bool"}],
        "type": "function"
    }
];

const USDC_ADDRESS = "0xA0b86a33E6417D3C2aB48e4F5e1E8E6eD7a8C5b6";

class StablecoinPaymentGateway {
    constructor(web3, privateKey) {
        this.web3 = web3;
        this.account = web3.eth.accounts.privateKeyToAccount(privateKey);
        this.contract = new web3.eth.Contract(USDC_ABI, USDC_ADDRESS);
    }
    
    async sendPayment(recipientAddress, amount) {
        const transaction = this.contract.methods.transfer(
            recipientAddress, 
            this.web3.utils.toWei(amount.toString(), 'mwei') // USDC has 6 decimals
        );
        
        const gas = await transaction.estimateGas({from: this.account.address});
        const gasPrice = await this.web3.eth.getGasPrice();
        
        const txData = {
            to: USDC_ADDRESS,
            data: transaction.encodeABI(),
            gas: gas,
            gasPrice: gasPrice,
            nonce: await this.web3.eth.getTransactionCount(this.account.address)
        };
        
        const signedTx = await this.account.signTransaction(txData);
        return this.web3.eth.sendSignedTransaction(signedTx.rawTransaction);
    }
}

class AutomatedPaymentOrchestrator:
    def __init__(self, ollama_client, payment_gateway):
        self.ollama = ollama_client
        self.gateway = payment_gateway
        
    def process_invoice(self, invoice_data):
        """Automated invoice processing and payment approval"""
        
        # Step 1: Extract payment terms using Ollama
        terms_analysis = self.ollama.generate(
            model="llama3.1",
            prompt=f"""
            Extract key payment terms from this invoice:
            {invoice_data}
            
            Return JSON with: amount, due_date, vendor_id, payment_terms
            """,
            format='json'
        )
        
        terms = json.loads(terms_analysis['response'])
        
        # Step 2: Validate against enterprise policies
        policy_check = self.ollama.generate(
            model="llama3.1",
            prompt=f"""
            Check if this payment complies with enterprise policies:
            - Amount: ${terms['amount']}
            - Vendor: {terms['vendor_id']}
            - Terms: {terms['payment_terms']}
            
            Enterprise limits: Max single payment $500k, Approved vendors only
            Return: approved (true/false), reason
            """,
            format='json'
        )
        
        approval = json.loads(policy_check['response'])
        
        if approval['approved']:
            return self.schedule_payment(terms)
        else:
            return {'status': 'rejected', 'reason': approval['reason']}
    
    def schedule_payment(self, terms):
        """Schedule stablecoin payment based on terms"""
        payment_date = datetime.fromisoformat(terms['due_date'])
        
        if payment_date <= datetime.now():
            # Immediate payment
            tx_hash = self.gateway.sendPayment(
                terms['vendor_address'], 
                terms['amount']
            )
            return {'status': 'sent', 'tx_hash': tx_hash}
        else:
            # Schedule for later
            return self.create_scheduled_payment(terms)

class ComplianceMonitor:
    def __init__(self, ollama_client):
        self.ollama = ollama_client
        self.suspicious_patterns = []
    
    def monitor_transaction(self, tx_data):
        """Monitor transactions for compliance violations"""
        
        analysis_prompt = f"""
        Analyze this transaction for AML/KYC compliance:
        Amount: ${tx_data['amount']}
        Recipient: {tx_data['recipient_country']}
        Frequency: {tx_data['monthly_volume']} similar transactions
        
        Check for:
        - Structuring (amounts just under $10k)
        - High-risk countries
        - Unusual patterns
        
        Return risk score (1-10) and flags.
        """
        
        response = self.ollama.generate(
            model="llama3.1",
            prompt=analysis_prompt,
            format='json'
        )
        
        risk_assessment = json.loads(response['response'])
        
        if risk_assessment['risk_score'] > 7:
            self.flag_for_review(tx_data, risk_assessment)
        
        return risk_assessment
    
    def generate_compliance_report(self, period):
        """Generate automated compliance reporting"""
        report_prompt = f"""
        Generate compliance summary for period {period}:
        - Total transactions: {self.get_transaction_count(period)}
        - Flagged transactions: {self.get_flagged_count(period)}
        - Geographic distribution: {self.get_geo_distribution(period)}
        
        Format as regulatory compliance report.
        """
        
        return self.ollama.generate(
            model="llama3.1",
            prompt=report_prompt
        )

// Enterprise Multi-Sig Wallet Contract
pragma solidity ^0.8.19;

contract EnterpriseMultiSig {
    mapping(address => bool) public isOwner;
    uint256 public requiredSignatures;
    uint256 public transactionCount;
    
    struct Transaction {
        address to;
        uint256 value;
        bytes data;
        bool executed;
        uint256 signatures;
    }
    
    mapping(uint256 => Transaction) public transactions;
    mapping(uint256 => mapping(address => bool)) public signatures;
    
    modifier onlyOwner() {
        require(isOwner[msg.sender], "Not an owner");
        _;
    }
    
    function submitTransaction(address _to, uint256 _value, bytes memory _data)
        public onlyOwner returns (uint256 transactionId) {
        transactionId = transactionCount;
        transactions[transactionId] = Transaction({
            to: _to,
            value: _value,
            data: _data,
            executed: false,
            signatures: 0
        });
        transactionCount += 1;
    }
    
    function signTransaction(uint256 _transactionId) public onlyOwner {
        require(!signatures[_transactionId][msg.sender], "Already signed");
        
        signatures[_transactionId][msg.sender] = true;
        transactions[_transactionId].signatures += 1;
        
        if (transactions[_transactionId].signatures >= requiredSignatures) {
            executeTransaction(_transactionId);
        }
    }
}

# ollama-security.yml
version: '3.8'
services:
  ollama-enterprise:
    image: ollama/ollama:latest
    environment:
      - OLLAMA_HOST=127.0.0.1  # Localhost only
      - OLLAMA_MODELS=/secure/models
    volumes:
      - ./secure-models:/secure/models:ro
      - ./logs:/var/log/ollama
    networks:
      - enterprise-internal
    restart: unless-stopped
    security_opt:
      - no-new-privileges:true
    read_only: true
    tmpfs:
      - /tmp:noexec,nosuid,size=100m

networks:
  enterprise-internal:
    driver: bridge
    internal: true

class RegulatoryComplianceEngine:
    def __init__(self, ollama_client):
        self.ollama = ollama_client
        self.compliance_rules = self.load_compliance_rules()
    
    def check_transaction_compliance(self, transaction):
        """Check transaction against all applicable regulations"""
        
        compliance_prompt = f"""
        Evaluate transaction compliance for:
        
        Transaction Details:
        - Amount: ${transaction['amount']}
        - Source: {transaction['source_country']}
        - Destination: {transaction['dest_country']}
        - Purpose: {transaction['purpose']}
        - Entity type: {transaction['entity_type']}
        
        Regulations to check:
        - BSA (Bank Secrecy Act)
        - OFAC sanctions
        - EU AML directives
        - Local KYC requirements
        
        Return compliance status and required actions.
        """
        
        response = self.ollama.generate(
            model="llama3.1",
            prompt=compliance_prompt,
            format='json'
        )
        
        return json.loads(response['response'])
    
    def generate_sar_report(self, suspicious_activity):
        """Generate Suspicious Activity Report using Ollama"""
        
        sar_prompt = f"""
        Generate SAR (Suspicious Activity Report) for:
        {json.dumps(suspicious_activity, indent=2)}
        
        Include:
        - Narrative description
        - Supporting documentation references
        - Regulatory citations
        - Recommended actions
        
        Format according to FinCEN requirements.
        """
        
        return self.ollama.generate(
            model="llama3.1",
            prompt=sar_prompt
        )

class PaymentAnalyticsDashboard:
    def __init__(self, ollama_client, blockchain_client):
        self.ollama = ollama_client
        self.blockchain = blockchain_client
    
    def generate_performance_report(self, time_period):
        """Generate comprehensive payment performance analysis"""
        
        metrics = self.collect_payment_metrics(time_period)
        
        analysis_prompt = f"""
        Analyze payment performance metrics:
        
        {json.dumps(metrics, indent=2)}
        
        Provide insights on:
        - Transaction success rates
        - Average settlement times
        - Cost optimization opportunities
        - Risk pattern analysis
        - Operational efficiency metrics
        
        Include actionable recommendations.
        """
        
        response = self.ollama.generate(
            model="llama3.1",
            prompt=analysis_prompt,
            format='json'
        )
        
        return json.loads(response['response'])
    
    def predict_cash_flow(self, historical_data):
        """Use Ollama to predict cash flow patterns"""
        
        prediction_prompt = f"""
        Based on historical payment data, predict cash flow for next quarter:
        
        Historical patterns:
        {json.dumps(historical_data, indent=2)}
        
        Consider:
        - Seasonal variations
        - Payment term trends
        - Vendor payment patterns
        - Market conditions
        
        Provide monthly cash flow projections with confidence intervals.
        """
        
        return self.ollama.generate(
            model="llama3.1",
            prompt=prediction_prompt,
            format='json'
        )

class ERPStablecoinIntegration:
    def __init__(self, erp_connector, stablecoin_gateway, ollama_client):
        self.erp = erp_connector
        self.gateway = stablecoin_gateway
        self.ollama = ollama_client
    
    def sync_payment_workflow(self):
        """Synchronize ERP invoices with stablecoin payments"""
        
        # Get pending invoices from ERP
        pending_invoices = self.erp.get_pending_invoices()
        
        for invoice in pending_invoices:
            # Use Ollama to determine payment method
            payment_decision = self.ollama.generate(
                model="llama3.1",
                prompt=f"""
                Determine optimal payment method for invoice:
                Amount: ${invoice['amount']}
                Vendor: {invoice['vendor_name']}
                Country: {invoice['vendor_country']}
                Urgency: {invoice['payment_urgency']}
                
                Options: stablecoin_instant, stablecoin_scheduled, traditional_ach
                Consider: cost, speed, compliance requirements
                """,
                format='json'
            )
            
            decision = json.loads(payment_decision['response'])
            
            if decision['method'].startswith('stablecoin'):
                self.process_stablecoin_payment(invoice, decision)
            else:
                self.route_to_traditional_payment(invoice)
    
    def process_stablecoin_payment(self, invoice, decision):
        """Execute stablecoin payment and update ERP"""
        
        try:
            # Execute payment
            tx_hash = self.gateway.send_payment(
                invoice['vendor_wallet'],
                invoice['amount']
            )
            
            # Update ERP with transaction details
            self.erp.update_payment_status(
                invoice['id'],
                status='paid',
                transaction_hash=tx_hash,
                payment_method='stablecoin'
            )
            
            # Generate confirmation
            confirmation = self.generate_payment_confirmation(invoice, tx_hash)
            self.send_confirmation_email(invoice['vendor_email'], confirmation)
            
        except Exception as e:
            self.handle_payment_failure(invoice, str(e))

# docker-compose.scale.yml
version: '3.8'
services:
  ollama-worker:
    image: ollama/ollama:latest
    deploy:
      replicas: 5
      resources:
        limits:
          memory: 16G
        reservations:
          memory: 8G
  
  payment-processor:
    build: ./payment-service
    deploy:
      replicas: 3
    depends_on:
      - ollama-worker

# nginx.conf for Ollama load balancing
upstream ollama_backend {
    server ollama-worker-1:11434 weight=3;
    server ollama-worker-2:11434 weight=3;
    server ollama-worker-3:11434 weight=2;
}

server {
    listen 80;
    location /api/generate {
        proxy_pass http://ollama_backend;
        proxy_set_header Host $host;
        proxy_timeout 300s;
    }
}