At Pinakyne, we believe in shipping fast and responding to customer needs in real-time. The faster we can deploy AI agents that actually collect debt, the faster our customers see ROI.

Context: A Week at Pinakyne HQ

A fintech client was struggling with Spanish-speaking debtors not responding to English-only outreach. This was a real sprint where we shipped multilingual AI voice agents within 3 days.

Monday: Listen to the Customer

Client escalation came through Slack at 9 AM:

![slack_message.png]

Alex from LendFast: "We're missing 40% of our collections because our debtors primarily speak Spanish. Our agents don't speak Spanish fluently. Can Pinakyne help?"

Quick evaluation meeting (30 mins):

• Impact: 3 other clients have similar demographics
• Complexity: We already have the voice infrastructure, need Spanish language models
• Timeline: Can ship MVP in 2-3 days
• Decision: Drop lower priority tasks, ship this week

Tuesday: Scope & Build

Morning Sync (10 AM):

• Database changes: Add preferred_language field to debtor profiles
• API changes: Update voice agent initialization to accept language parameter
• AI model: Fine-tune Spanish conversation model on debt collection scenarios

What we actually built:

# Before: English only
agent = VoiceAgent(debtor_id=12345)

# After: Multi-language support
agent = VoiceAgent(
    debtor_id=12345,
    language=debtor.preferred_language or 'en'
)