AI Voice & Multi-Channel Customer Care System — BusUp

1. Opening

BusUp runs 24/7 corporate transportation across 5 countries. When a bus breaks down, 50 passengers call at once. Current agents get blocked on 5–10 minute calls while queues stack up. This proposal outlines a production AI voice agent that answers immediately, routes intelligently, and scales without hiring.

2. Your Problem Areas

BusUp handles voice, WhatsApp, and email across Portuguese, Spanish, and English markets. Voice represents 20% of volume but causes the most friction — agents can't multitask, wait times spike during incidents, and 16-person teams struggle with client-specific policies for Amazon, SpaceX, BBVA, and dozens of other enterprise accounts.

Agent Blocking on Voice Calls

Each call locks an agent for 5–10 minutes. During peak incidents (bus breakdowns), queues explode and customers wait.

Customer dissatisfaction spikes exactly when service reliability matters most. Agent utilization becomes a hard bottleneck.

Complex Knowledge Requirements

Agents must memorize policies for dozens of enterprise clients. Some allow Uber reimbursement after 15min delays. Others don't. Mistakes generate complaints.

Long onboarding times, frequent policy errors, and frustrated customers who receive inconsistent answers.

No Real-Time Incident Coordination

Traffic team monitors buses. Customer care takes calls. When a live event happens, there's manual back-and-forth to confirm status and release solutions.

Delayed resolutions. Agents ask customers to hold while they check with colleagues — adding minutes to already-long call times.

Limited Language Coverage

16 agents can't cover every language. Europe operations lack WhatsApp support and rely entirely on voice with limited multilingual availability.

Service gaps in Portugal, Spain, and emerging markets. No scalable way to add languages without hiring specialized staff.

3. Your Solution

We're building a custom AI voice agent on Retell that answers every call immediately, identifies the caller via phone lookup, routes through your 30 pre-defined contact reason flows, executes API calls to your dashboard in real-time, and escalates only when policy requires human judgment or live incident data isn't available. The system integrates with Zendesk for ticket creation and handles Portuguese, Spanish, and English out of the box.

Retell AI Voice Agent (Multi-Language)

Production voice infrastructure handling concurrent calls in Portuguese, Spanish, English with sub-second response times.

Zero wait time. Callers reach an agent instantly, even during 50+ passenger incident spikes.

Dynamic Flow Routing + API Integration

We replicate your 30 contact reason flows in Retell's Flex Mode, with live API calls to your dashboard for passenger lookup, service status, and policy checks.

Agent dynamically adapts to conversation context and pulls real-time data — no static scripts, no outdated answers.

Zendesk Ticket Creation + Warm Transfers

Every call creates a Zendesk ticket. When escalation is needed, AI provides a summary before transferring to your human team.

Your agents pick up calls with full context. No "Can you repeat that?" — just immediate action.

Client-Specific Knowledge Base

We ingest your enterprise client policies (Amazon, SpaceX, BBVA, etc.) and configure conditional logic so responses match the caller's company automatically.

Consistent, accurate answers without agents memorizing 50+ policy variations. Mistakes drop to near-zero.

European Infrastructure Compliance

Separate server deployment in EU regions to meet data residency requirements for Portugal and Spain operations.

Full GDPR compliance. No legal blockers to scaling in Europe.

4. Why Us

We've built AI voice systems handling 50+ concurrent calls in production environments. We don't deliver demos — we deliver infrastructure that runs 24/7 under real operational load. Our CTO has 15+ years in backend systems and scalable architecture. We've integrated voice agents with CRMs, ticketing platforms, and custom dashboards for clients running live revenue pipelines.

50+ Concurrent Calls Tested

We've deployed voice agents that handled peak traffic without dropping connections or degrading response quality.

31,000+ YouTube Subscribers

We actively teach AI system design and operate a builder community — constant exposure to cutting-edge tools and real implementation feedback.

Custom API Integration Track Record

We've connected voice agents to Zendesk, custom CRMs, and internal dashboards. If you have endpoints, we integrate. If you don't, we help define what needs built.

5. Why That Matters to You

• We've built systems for companies with complex, multi-client workflows — we understand conditional logic and policy routing at scale.
• We combine technical depth with real sales and operations experience, so we design around actual resolution flows, not theoretical automation.
• We deploy infrastructure that works in production from day one — no "let's see if this handles volume" guesswork.
• We provide phased rollout plans so you can validate one flow, prove ROI, then expand without risk.

This isn't a chatbot experiment. It's a revenue-grade system designed to eliminate wait times, reduce agent load, and scale your operations without adding headcount.

6. Our Team

Bosar Agency is led by an AI systems architect and entrepreneur with deep hands-on experience building production-ready automation for real clients — not prototypes, not demos, but systems running live in operational environments.

Our CTO and engineering partner brings 15+ years of backend systems, scalable infrastructure, and custom software development. Together, we combine technical architecture with real-world sales and business operations experience. We don't just build tools — we build systems that integrate into revenue pipelines and get tested under real conditions every day.

We also operate an AI education platform with 31,000+ YouTube subscribers and run a builder community where we teach system design, automation architecture, and client acquisition. This gives us constant exposure to cutting-edge tools and real-world implementation feedback. We approach every project as operators, not consultants. When we build a voice agent, it's because we've tested the infrastructure, debugged the edge cases, and validated the approach in live deployments.

7. What Working With Us Looks Like

01. Discovery & Flow Mapping

We audit your 30 contact reason flows, identify required API endpoints, map escalation triggers, and document client-specific policies for Amazon, SpaceX, BBVA, and other enterprise accounts.

This ensures the AI agent mirrors your actual operations — not a generic template.

02. Pilot Flow Build

We select 1–3 high-volume flows (e.g. bus status inquiry, passenger identification) and build the full voice agent with API integration, Zendesk ticketing, and warm transfer logic.

You validate the system with real calls before committing to full-scale deployment.

03. API Integration & Testing

We connect to your dashboard endpoints for passenger lookup, service status, and policy checks. If endpoints need to be built, we document requirements and coordinate with your dev team.

Real-time data access is what separates a working agent from a scripted bot.

04. Knowledge Base Configuration

We ingest your client policies and configure conditional logic so the agent applies the correct rules based on caller company, service type, and incident context.

This eliminates agent training overhead and policy errors.

05. European Infrastructure Deployment

We deploy separate Retell infrastructure in EU-compliant regions for Portugal and Spain operations, ensuring GDPR adherence.

Legal compliance isn't optional — this prevents future blockers to scaling in Europe.

06. Full Rollout & Iteration

Once pilot flows prove ROI, we expand to remaining contact reasons, add multilingual support as needed, and optionally provide ongoing maintenance via retainer.

You scale at your pace with predictable costs and validated results at each phase.

8. Investment

Your 16-person customer care team currently gets blocked on voice calls for 5–10 minutes each. If this system handles even 40% of voice volume autonomously, you're recovering 30–50 agent hours per week — equivalent to 1–2 full-time hires. At $35K/year per agent, ROI payback happens in under 6 months. Beyond cost savings: zero wait times during incidents, consistent policy application across enterprise clients, and scalable language coverage without hiring specialized staff.

9. Services Agreement

SERVICES AGREEMENT

Recitals

This Services Agreement ("Agreement") is entered into between Bosar Agency ("Provider") and BusUp ("Client") for the design, development, and implementation of a custom AI voice agent system integrated with Client's operational infrastructure.

Term

This Agreement commences upon signature and continues until completion of the deliverables outlined in the Statement of Work, unless terminated earlier in accordance with these terms.

Fees and Payment Terms

Client agrees to pay Provider the fees specified in the Investment section of this proposal. Payment is due Net 7 days from invoice date. Late payments will accrue interest at 1.5% per month. Provider reserves the right to pause work if payment is more than 14 days overdue. Third-party platform fees (e.g., Retell usage costs) are the sole responsibility of Client and billed directly by those providers.

Client Responsibilities

Client will provide timely access to systems, API documentation, knowledge base materials, and key personnel for discovery sessions. Client is responsible for any internal development work required to expose API endpoints as identified during the discovery phase. Delays caused by unavailability of Client resources may extend project timelines.

Intellectual Property

Provider retains ownership of all background IP, including pre-existing frameworks, tools, and methodologies. Upon full payment, Client receives a perpetual, non-exclusive license to use all custom deliverables (voice agent configuration, flow logic, integration code) for Client's internal operations. Provider may showcase this project in case studies and portfolio materials unless Client requests confidentiality in writing.

Confidentiality

Both parties agree to protect confidential information disclosed during this engagement for a period of three (3) years following the termination of this Agreement. Confidential information does not include information that is publicly available, independently developed, or lawfully obtained from third parties.

Indemnification

Each party agrees to indemnify and hold harmless the other party from any claims, damages, or expenses arising from (a) breach of this Agreement, (b) negligence or willful misconduct, or (c) violation of applicable laws. Provider is not liable for issues arising from third-party platform changes (e.g., Retell API updates) or Client's misuse of delivered systems.

Limitation of Liability

Provider's total liability under this Agreement shall not exceed the lesser of $500,000 USD or the total fees paid by Client in the twelve (12) months preceding the claim. Neither party shall be liable for indirect, incidental, or consequential damages, including lost profits or business interruption.

General Provisions

Provider operates as an independent contractor. This Agreement does not create an employment, partnership, or joint venture relationship. This Agreement is governed by the laws of Poland. Any disputes will be resolved through binding arbitration in accordance with the rules of the jurisdiction where Provider is based. This Agreement constitutes the entire understanding between the parties and supersedes all prior agreements, whether written or oral.

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