AI Voice & Chat Infrastructure for Multi-Region Customer Support

1. Opening

BusUp runs 24/7 corporate transportation across Brazil, Spain, Portugal, Mexico, and the US - serving clients from Amazon to SpaceX. Their customer care team of 16 agents handles thousands of contacts monthly across WhatsApp and voice, but voice calls block agents for 5-10 minutes each, creating wait times and bottlenecks during peak demand.

2. Your Problem Areas

Voice represents 20% of inbound volume but causes the majority of operational friction. When a bus breaks down, 50 passengers call simultaneously. Agents must memorize dozens of client-specific policies - some allow Uber reimbursements for late buses, others don't. Mistakes create dissatisfaction. New hires take weeks to ramp. The current approach doesn't scale across regions or languages.

Agent Blocking During Voice Calls

Each voice call locks an agent for 5-10 minutes while WhatsApp agents handle multiple conversations concurrently. Peak demand creates wait times and customer frustration.

16 agents can't scale to handle simultaneous call spikes during service disruptions. Every minute of wait time increases churn risk with enterprise clients.

Client-Specific Knowledge Overload

Agents must remember different policies for Amazon, Accenture, BBVA, SpaceX, and dozens of other clients. Some allow Uber reimbursement, others forbid it. Different escalation rules, different SLAs.

High error rate. Long onboarding cycles. Inconsistent service quality across your largest revenue-generating accounts.

No Real-Time Caller Identification

Agents manually ask for phone numbers and search the system during every call. No automatic account lookup. No context before the conversation starts.

30-60 seconds wasted per call. Passengers repeat information. Agents sound unprepared even when the caller is already in your database.

Zero Automation in 80% of Support Volume

WhatsApp and voice run entirely on human agents. No AI triage, no self-service flows, no deflection. Every password reset, bus location query, and ticket cancellation requires human intervention.

Team is underwater handling repetitive Tier 1 requests instead of complex escalations. You're paying for manual labor that should cost you API calls.

3. Your Solution

We're building a multi-language AI voice and chat system that answers every call instantly, identifies callers automatically, and resolves 60-70% of requests without human escalation. The system integrates with your dashboard via API, applies client-specific policies dynamically, and transfers warm context to agents only when necessary. This runs on your existing Zendesk + custom backend infrastructure.

AI Voice Agent (Retell-Powered)

Answers inbound calls in Portuguese, Spanish, and English with zero wait time. Handles 50+ concurrent calls during peak demand.

Eliminates hold queues. Passengers get instant response even when 50 people call about the same broken bus.

Automatic Caller Identification & Context Loading

System pulls phone number, queries your database, recognizes the passenger, and greets them by name with their account info pre-loaded.

Cuts 45 seconds from every call. Agent or AI knows who you are, which company you work for, and your service history before the conversation starts.

Client-Specific Policy Engine

Dynamic knowledge base that applies the right rules based on employer. Amazon passengers get Uber reimbursement logic. BBVA passengers get different escalation paths.

Zero policy errors. System adapts per client automatically. No agent memorization required.

30 Pre-Built Conversation Flows

Password resets, bus location queries, ticket cancellations, lost item reports, complaint registration - all mapped to your existing workflows with API calls at every decision point.

60-70% call resolution without human escalation. Agents only handle edge cases and high-emotion situations.

Warm Transfer & Escalation Routing

When AI can't resolve, it summarizes the conversation and transfers with full context to the right human agent in the right language.

Agents pick up already knowing the issue. No 'let me pull up your account' delays. Seamless handoff.

WhatsApp AI Agent (Optional Phase 2)

Same logic layer applied to your WhatsApp channel using Zendesk AI or custom integration. Handles 80% of text-based volume automatically.

Full omnichannel automation. Voice and chat running on the same brain, same policies, same API backend.

4. Why Us

We've built AI voice systems that handle 50 concurrent calls in production. We don't do demos - we build revenue-connected infrastructure that integrates with live CRMs, custom APIs, and backend dashboards. Our CTO has 15+ years in scalable systems architecture. We operate in the AI ecosystem daily through our education platform with 31,000+ YouTube subscribers, which means we're implementing cutting-edge voice and LLM tech before it hits mainstream agencies.

31,000+ YouTube subscribers in AI automation

We teach AI system design and automation architecture publicly. Our builds are watched by hundreds of thousands. We don't just deliver client work - we operate at the frontier of what's possible with voice AI and LLM orchestration.

50-call concurrent voice system in production

We've already stress-tested Retell infrastructure at your scale. We know where it breaks, how to route overflow, and how to maintain sub-2-second response times under load.

CRM + API integration depth across B2B service clients

We've connected voice agents to Zendesk, custom dashboards, JIRA, CRMs, and internal tools. We don't use templates - we write custom backend logic for every client's workflow.

5. Why That Matters to You

• We combine CTO-level technical architecture with real sales pipeline experience - we understand revenue systems, not just code.
• We've reduced manual outreach workload by 70%+ for B2B service businesses by building AI that actually handles edge cases instead of failing gracefully.
• We design for ROI, not hype - every feature ties to call deflection rate, resolution time, or cost per contact.
• We operate in AI daily through content, community, and client deployments - you get access to tools and techniques months before they become mainstream.

You're not hiring an agency that builds chatbots. You're hiring operators who build production infrastructure.

6. Our Team

Bosar Agency is led by an AI systems architect and entrepreneur with deep hands-on experience building production-ready automation systems for real clients. The agency operates with a senior full-stack CTO and engineering partner with 15+ years of experience in backend systems, scalable infrastructure, and custom software development.

We started 10+ years ago in tech and pivoted hard into AI-focused systems in 2023 when LLMs and voice infrastructure became reliable enough to deploy in live revenue environments. Since then, we've built AI voice assistants, CRM-integrated pipelines, and lead-generation engines that replace 15-30 hours of manual work per week for our clients.

We also operate an AI education platform and community with 31,000+ YouTube subscribers where we teach AI system design, automation architecture, and client acquisition. This gives us constant exposure to cutting-edge tools and real implementation feedback. We combine technical depth with real-world sales and business experience. We don't just build tools - we build systems that integrate into live revenue pipelines and are tested under real operational conditions.

7. What Working With Us Looks Like

01. Discovery & API Mapping

We audit your 30 contact reason flows, map required API endpoints to your dashboard, and identify which flows can launch immediately vs. which need backend development on your side.

This prevents scope creep and ensures we're building on solid infrastructure, not assumptions.

02. Knowledge Base & Policy Setup

We structure your client-specific policies (Amazon, BBVA, Accenture, etc.) into a dynamic engine. We load static FAQs, escalation rules, and language-specific responses into the AI's retrieval system.

The agent needs to know which rules apply to which caller before it picks up the phone.

03. Voice Agent Build - Priority Flow (Week 1 Launch)

We build one high-volume flow end-to-end - likely caller identification + bus location query or ticket cancellation. Test with real calls. Iterate based on transcripts.

You see ROI in week one. We validate the tech stack under real conditions before scaling to all 30 flows.

04. Multi-Flow Expansion & Zendesk Integration

We roll out 10-15 additional flows, integrate ticket creation in Zendesk, and enable warm transfers with context summaries. Add Portuguese, Spanish, and English language handling.

This is where call deflection rate jumps from 30% to 60-70%. Most requests now resolve without human intervention.

05. EU Infrastructure & Compliance Setup

We deploy separate servers in Europe for Spain/Portugal operations to meet data residency laws. Same agent brain, different hosting environment.

You stay compliant with GDPR and EU regulations without rebuilding the system.

06. Monitoring, Optimization & Optional WhatsApp Expansion

We track call resolution rate, average handle time, escalation reasons, and failure points. Tune prompts and flows monthly. If requested, we extend the same logic to WhatsApp using Zendesk AI or custom integration.

AI systems improve with usage data. We don't hand you a static tool - we iterate based on real performance metrics.

8. Investment

Item	Amount
Phase 1: Discovery, API Mapping & Knowledge Base Setup	$4,500
Phase 2: Voice Agent Build (Priority Flow + Multi-Flow Expansion)	$12,000
Phase 3: EU Infrastructure Setup & Compliance	$3,500
Monthly Retainer (Monitoring, Optimization & Support)	$2,000/mo
Total Initial Setup (Phases 1-3)	$20,000

Your 16-agent team handles thousands of contacts monthly. If this system deflects 60% of voice calls, you're saving 200+ agent hours per month at minimum. That's $8,000-12,000/month in labor cost avoided, plus faster response times for your highest-value clients like Amazon and SpaceX. The system pays for itself in 60-90 days. After that, every deflected call is pure margin.

9. Services Agreement

1. Recitals

This Services Agreement ("Agreement") is entered into by and between the Client identified in the signature block below and the Service Provider identified in the signature block below. The Service Provider agrees to provide the services described in this proposal ("Services") subject to the terms and conditions set forth herein.

2. Term

This Agreement is effective upon execution by both parties and shall remain in effect until the Services are completed, unless terminated earlier in accordance with this Agreement. Either party may terminate this Agreement with 14 days written notice. Upon termination, Client shall pay for all Services rendered through the termination date.

3. Fees and Payment

Client agrees to pay the fees set forth in the Investment section of this proposal. All invoices are due Net 7 (seven days from invoice date). Late payments shall accrue interest at a rate of 1.5% per month on the outstanding balance. Service Provider reserves the right to pause work if any payment is more than 14 days overdue.

4. Client Responsibilities

Client agrees to provide timely access to all necessary information, systems, credentials, brand assets, and personnel required for the delivery of Services. Delays caused by Client's failure to provide required materials may result in adjusted timelines and additional fees at Service Provider's standard rates.

5. Intellectual Property

All background intellectual property owned by Service Provider prior to this engagement remains the sole property of Service Provider. All deliverables created specifically for Client under this Agreement shall transfer to Client upon receipt of full payment. Service Provider retains the right to use general knowledge, techniques, and methodologies developed during the engagement.

6. Confidentiality

Both parties agree to maintain the confidentiality of all proprietary information shared during this engagement for a period of three (3) years from the date of disclosure. This obligation does not apply to information that is publicly available, independently developed, or lawfully obtained from a third party.

7. Indemnification

Each party agrees to indemnify and hold harmless the other party from any claims, damages, or expenses arising from their breach of this Agreement or negligent acts or omissions in connection with the Services.

8. Limitation of Liability

In no event shall either party's total aggregate liability under this Agreement exceed the lesser of (a) $500,000 USD or (b) the total fees paid or payable under this Agreement in the twelve (12) months preceding the claim. Neither party shall be liable for indirect, incidental, consequential, or punitive damages.

9. General Provisions

Service Provider operates as an independent contractor, not an employee or agent of Client. This Agreement constitutes the entire agreement between the parties and supersedes all prior discussions and agreements. This Agreement shall be governed by the laws of the jurisdiction in which the Service Provider is registered. Any disputes shall be resolved through good-faith negotiation, and if unresolved, through binding arbitration.

10. Execution

IN WITNESS WHEREOF, the parties have executed this Agreement as of the date of the last signature below.