AI Voice & WhatsApp Agent System for BusUp
1. Opening
BusUp runs 24/7 corporate transportation across 5 countries with a 16-person customer care team handling thousands of calls in Portuguese, Spanish, and English. Voice calls block agents for 5-10 minutes each, causing wait times and dissatisfaction during peak demand - especially when a bus breaks down and 50 passengers call simultaneously.
2. Your Problem Areas
Your customer care team manages 30+ distinct contact flows across different corporate clients - each with unique policies, reimbursement rules, and escalation procedures. Agents need extensive knowledge to handle Amazon's policies differently from BBVA's, creating friction, onboarding delays, and costly mistakes that drive dissatisfaction.
Agent Bottleneck During Peak Events
When a bus breaks down, 50 passengers call at once. Voice calls block agents completely - unlike WhatsApp where one agent handles multiple chats. With 5-10 minute resolution times, your 16-person team can't absorb sudden spikes.
Extended wait times during emergencies create the highest customer dissatisfaction. You're staffed for average load, not crisis scenarios.
Knowledge Complexity Across Corporate Clients
Agents must memorize different policies for SpaceX, Amazon, Accenture, and BBVA. Some clients allow Uber reimbursement after 15 minutes, others forbid it entirely. This requires extensive training and still produces errors.
New agents take weeks to get up to speed. Mistakes generate complaints and erode client trust with your corporate accounts.
Zero Coverage in Non-Portuguese Markets
Europe operations (Spain, Portugal) rely on voice calls without WhatsApp support. You need multilingual coverage but can't staff for every language across 24/7 shifts.
Limited language capacity restricts service quality in key markets and prevents expansion into new regions.
Manual Escalation Without Context
When calls transfer to live agents, there's no handoff summary. Agents pick up blind, forcing customers to repeat themselves. Traffic teams get interrupted to answer questions customer care could handle with better system access.
Duplicate effort wastes both teams' time. Customers feel unheard. Internal coordination creates lag during time-sensitive events.
3. Your Solution
We're building a production-ready AI voice agent on Vapi/Retell infrastructure that answers all inbound calls immediately, handles 30+ contact reason flows, queries your internal systems in real-time, and escalates intelligently with full context. The agent operates in Portuguese, Spanish, and English, applies client-specific policies automatically, and integrates directly with Zendesk for ticket creation and your dashboard APIs for live service data.
Multi-Flow AI Voice Agent
Custom-built conversational AI that navigates your 30 documented contact flows - from lost items to complaint registration to password resets - using dynamic routing and guardrails to prevent hallucination.
Handles routine inquiries end-to-end without human intervention, freeing agents for complex escalations only.
Real-Time System Integration
API connections to your internal dashboard for passenger identification, service status checks, and live event data - plus Zendesk integration for automated ticket creation and case routing.
Agent has the same information your human team does, eliminating the need for manual lookups and reducing resolution time.
Client-Specific Knowledge Base
Policy engine that applies the correct reimbursement rules, escalation procedures, and service protocols based on which corporate client the caller belongs to (Amazon, BBVA, SpaceX, etc.).
Eliminates policy errors and ensures consistent service delivery across all corporate accounts without agent memorization.
Intelligent Escalation with Context
When the AI identifies frustration, conflicting data, or requests outside its scope, it transfers to a live agent with a warm handoff - summarizing the conversation, caller info, and issue before your team picks up.
No more customers repeating themselves. Agents jump in with full context, improving resolution speed and customer experience.
Multilingual Voice Infrastructure (EU Compliant)
Separate EU-based server infrastructure for Spain and Portugal operations, meeting data residency requirements while supporting Portuguese, Spanish, and English natively.
Expand service coverage across regions without hiring multilingual staff or violating GDPR compliance.
4. Why Us
We've built 50-concurrent-call AI voice systems that operate in live revenue environments, not demos. Our CTO has 15+ years in backend architecture and we've spent two years engineering custom API integrations for real client workflows - CRM sync, dynamic knowledge retrieval, and intelligent escalation logic that works under operational pressure.
50+ concurrent calls handled in production
We've deployed AI voice agents that scale to high-volume scenarios without breaking - tested in real customer environments, not lab conditions.
31,000+ subscribers learning our AI builds
We operate in the AI automation ecosystem daily through content, community, and live deployments - giving us constant exposure to cutting-edge tooling and real implementation feedback.
70%+ manual workload reduction for clients
Our systems replace 15-30 hours per week of repetitive work by automating qualification, lead generation, and customer support workflows tied directly to revenue.
5. Why That Matters to You
- We understand sales pipelines and operational systems - not just code. We've built client acquisition engines and CRM integrations under live conditions.
- We design around ROI and measurable outcomes, not hype. Every system we build is tied to time saved, pipeline generated, or capacity unlocked.
- We combine technical depth with real-world business experience. Our team includes an AI systems architect and a senior full-stack CTO who've shipped production systems for years.
- We don't resell templates or no-code surface automations. We build custom solutions using APIs, LLMs, voice infrastructure, and backend logic tailored to your exact workflow.
We approach every project as operators who've run revenue systems ourselves - not consultants theorizing about what might work.
6. Our Team
Bosar Agency is led by an AI systems architect and entrepreneur with hands-on experience building production-ready automation for real clients. We started in tech over 10 years ago and shifted focus to AI-powered systems in 2023 when we saw the gap between hype and actual implementation.
Our CTO brings 15+ years of backend engineering, scalable infrastructure, and custom software development. Together, we've built AI voice assistants, CRM-integrated pipelines, and lead-generation engines that eliminate manual work and drive measurable results - not demos that impress in meetings but fail under load.
We also run an AI education platform and community where we teach system design and automation architecture. This keeps us at the edge of tooling innovation and gives us constant feedback from real-world deployments. We don't just build for clients - we operate in this space daily.
7. What Working With Us Looks Like
01. Discovery & API Mapping
We audit your 30 contact flows, map required API endpoints (existing and new), and define which flows launch first vs. phase two. We document escalation triggers, client-specific policies, and Zendesk integration requirements.
This prevents scope creep and ensures we build the right infrastructure from day one - no guessing what data we need or how calls should route.
02. Agent Architecture & Knowledge Base Build
We design the conversational flow logic in Vapi/Retell, configure guardrails to prevent hallucination, and build the client-specific policy engine using your documented procedures. We set up multilingual support and EU-compliant infrastructure.
The foundation determines everything. Proper architecture here means the agent scales without breaking as you add flows later.
03. API Integration & System Connectivity
We connect the agent to your internal dashboard for passenger lookup, service status queries, and live event data. We integrate Zendesk for ticket creation and configure warm transfer logic with context handoff.
Real-time data access is what separates a useful agent from a glorified FAQ bot. This makes your AI as informed as your human team.
04. Initial Flow Deployment & Testing
We launch 1-3 priority flows in a controlled test environment, run scenario testing with your team, and iterate based on real call performance. We refine escalation triggers and response accuracy.
Starting small lets us validate the system works before scaling. You see results fast and we catch edge cases early.
05. Live Launch & Monitoring
We go live with the initial flows, monitor call performance in real-time, and provide handoff documentation. You start handling calls with AI while we track metrics and gather feedback for iteration.
This is where the ROI starts. Your team sees immediate capacity relief and we collect data to optimize future phases.
06. Iteration & Flow Expansion (Optional Retainer)
We add remaining flows, refine knowledge base responses, optimize escalation logic, and expand language coverage based on usage patterns. Ongoing maintenance ensures the system evolves with your operations.
AI systems improve with real-world data. Continuous iteration maximizes accuracy and lets you scale coverage as demand grows.
8. Investment
| Item | Amount |
|---|---|
| Initial Setup & Integration (Deposit) | $5,000 |
| Development Milestone 1 | $5,000 |
| Development Milestone 2 | $5,000 |
| Total | $15,000 |
You're currently blocking 16 agents on voice calls for 5-10 minutes each during a channel that represents 20% of volume but causes the most dissatisfaction. If this system handles even 40% of voice calls end-to-end, you've freed 6+ agents to focus on complex escalations - equivalent to avoiding 2-3 new hires as you scale. During peak events (bus breakdowns), you eliminate wait times entirely and prevent the dissatisfaction spike that damages corporate client relationships. Payback happens when you avoid your next customer care hire or reduce churn from one frustrated corporate account.
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.
Signature
Signed by fdsf
bogdan.saranchuk4@gmail.com
Apr 1, 2026