AI Voice & WhatsApp Agent Implementation for BusUp

1. Opening

This proposal outlines the implementation of a multilingual AI voice agent system integrated with BusUp's existing Zendesk infrastructure and internal dashboard APIs. The system will handle inbound customer calls across Portuguese, Spanish, and English markets, reducing agent workload and eliminating wait times during peak demand.

2. Your Problem Areas

BusUp's 16-person customer care team operates 24/7 handling calls across four countries, but voice calls block agents for 5-10 minutes each while WhatsApp allows concurrent handling. When a bus breaks down, 50+ passengers call simultaneously, creating bottlenecks. Agents must memorize different policies for dozens of corporate clients (Amazon, Accenture, SpaceX, BBVA), leading to mistakes, long onboarding, and customer dissatisfaction.

Agent Blocking During Peak Events

Voice calls lock agents into single conversations for 5-10 minutes while WhatsApp agents handle multiple cases concurrently. When operational issues occur (bus breakdowns, delays), call volume spikes and wait times explode.

Peak events create service bottlenecks that WhatsApp doesn't experience. Passengers wait on hold while buses sit stranded.

Client-Specific Policy Complexity

Different corporate clients (Amazon vs BBVA vs small Spanish companies) have entirely different protocols - some allow Uber reimbursement after 15 minutes, others prohibit it. Agents must recall policies for dozens of companies in real-time.

New agents take months to learn all policies. Wrong policy application creates service failures and contract risk with enterprise clients.

Zero First-Touch Automation

Every call requires human pickup and manual system queries. Even simple identification and routing tasks consume agent time that could go to complex escalations.

100% of voice volume hits human capacity limits. No path to scale service without proportional headcount increase.

Traffic Team Dependency for Live Events

Customer care can't resolve real-time service issues without consulting the traffic monitoring team. Passengers get asked to hold while agents check if a bus actually broke down or missed a stop.

Live service disruptions require multi-team coordination per call. Information lag during the exact moments customers need immediate answers.

3. Your Solution

We're building a multilingual AI voice agent that answers all inbound calls immediately, handles identification via BusUp's dashboard APIs, and executes the 30+ contact reason flows you've already mapped. The agent queries live data, applies client-specific policies, resolves standard cases end-to-end, and escalates only when rules don't match or frustration is detected. Zero wait time, 24/7 coverage, consistent policy application across all corporate clients.

Multi-Flow Voice Agent in Retell

30+ contact reason flows built in Retell's flex mode - identification, complaint logging, password reset, lost item reporting, cancellation, live service status checks.

Agent dynamically switches between flows mid-conversation, handles happy paths autonomously, escalates only edge cases.

Custom API Integration Layer

Direct connection to BusUp's internal dashboard and Zendesk - phone number lookup, account verification, service status queries, ticket creation, JIRA logging for operations team.

Agent sees the same live data your team sees. No manual system checks. Tickets auto-created with full context.

Client-Specific Policy Engine

Knowledge base structured by corporate client - Amazon policies, Accenture protocols, BBVA rules, small client defaults. Agent selects correct ruleset based on caller identification.

Consistent policy application across all clients. New client policies added without retraining humans.

Warm Transfer System with Context Handoff

When escalation is needed, agent provides intro summary to your team before human pickup - caller identity, issue type, data already collected, why it's being escalated.

Your agents don't pick up blind. They know the situation before saying hello. Cuts handle time on escalated calls.

Multilingual Deployment (PT-BR, PT-PT, ES, EN)

Four language variants with regional accent handling. EU infrastructure for Spain/Portugal compliance, separate stack for Brazil/US operations.

Same agent quality across all markets. GDPR-compliant EU data processing without sacrificing Brazil performance.

4. Why Us

We've built AI voice systems handling 50+ concurrent calls in production for B2B service companies. Our technical co-founder brings 15+ years of backend engineering - we architect custom API layers connecting AI agents to client CRMs, dashboards, and ticketing systems (Zendesk, HubSpot, internal tools) daily. Every integration is purpose-built around your actual data structure, not generic templates.

50+ Concurrent Call Capacity Deployed

Built and stress-tested voice systems handling peak simultaneous call volume in live production environments for service businesses.

Custom API Integration Across CRM Ecosystems

Engineered direct connections to Zendesk, internal dashboards, JIRA, and proprietary systems - agents query live data and create tickets in real-time.

Multilingual Systems Across US & Europe

Deployed AI agents handling English, Spanish, Portuguese variants with GDPR-compliant EU infrastructure for international service operations.

5. Why That Matters to You

• We build phased rollouts by default - launch with 1-3 flows fully automated, prove ROI on real call volume, then expand. You don't pay for 30 flows on day one.
• Direct access to the engineer writing your API integrations. No account manager layer translating technical requirements through a game of telephone.
• We scope against measurable outcomes (reduced handle time, lower cost per ticket, eliminated manual steps). If a feature doesn't tie to a number, we don't build it.
• Your 30 contact reason flows and identification logic are already mapped. We're implementing your playbook in code, not inventing a new system.

You've already designed the system - we're the team that builds it into production infrastructure.

6. Our Team

Bosar Agency is a two-principal team that builds AI automation for service businesses with existing revenue and operational complexity. One partner handles client strategy and scoping. The other is a senior full-stack engineer with 15+ years building backend systems and infrastructure - he architects and codes every API integration, every voice agent flow, every data connection.

We started because most AI agencies build around their own templates and platforms. We build around the client's actual systems - the CRMs already in use, the internal dashboards already running operations, the ticketing tools already holding institutional knowledge. Every deployment connects via custom API work tailored to how the client's data actually flows.

We bring in specialist developers for specific builds when needed, but there's no layers between you and the people doing the technical work. The engineer on this call is the one writing your Zendesk integrations and building your Retell flows. You're talking directly to the people who will deliver this system.

7. What Working With Us Looks Like

01. Flow & API Requirements Mapping

We audit your 30 contact reason flows, identify which require new API endpoints versus existing dashboard queries, and prioritize 1-3 flows for initial automation. We document exact data inputs/outputs needed for each integration point.

Defines technical scope before code gets written. Prevents scope creep and ensures your dev team knows exactly what endpoints to build.

02. Voice Agent Build & API Integration

Construct the multilingual Retell agent with flex mode flow logic, connect to Zendesk ticketing and your internal dashboard APIs, implement client-specific policy routing, build warm transfer system with context handoff.

This is the core system build. Agent can query live data, create tickets, apply correct policies, and escalate with full context.

03. Testing & Flow Refinement

Run test calls across all prioritized flows in Portuguese, Spanish, and English. Validate API responses, policy application accuracy, escalation triggers, and transfer quality. Iterate based on edge cases discovered.

Catches integration bugs and conversation logic gaps before real customers hit the system. Ensures smooth handoffs to your human agents.

04. Limited Production Deployment

Route a controlled percentage of inbound calls to the AI agent while monitoring resolution rates, escalation frequency, and customer satisfaction. Your team handles overflow and edge cases as fallback.

Proves the system works on real call volume without risking full service quality. Generates data to measure ROI before full rollout.

05. EU Infrastructure Setup (Spain/Portugal)

Deploy separate Retell infrastructure on EU-based servers for GDPR compliance. Configure Spanish and European Portuguese language models. Test data residency and processing requirements.

Meets European data protection laws without compromising Brazil/US performance. Required before handling EU customer calls.

06. Full Rollout & Expansion Roadmap

Scale to 100% voice call routing through AI agent. Document performance metrics (handle time reduction, resolution rate, escalation percentage). Define next flows to automate based on volume and complexity.

Establishes the system as primary voice channel and creates data-driven plan for expanding automation to remaining contact reasons.

8. Investment

Item	Amount
Initial Deposit	$5,000
Milestone 1 - Flow Mapping & Agent Build	$8,000
Milestone 2 - Testing & Limited Deployment	$3,000
Milestone 3 - EU Infrastructure & Full Rollout	$3,000
Total Project Investment	$19,000

Your 16-person team handles every voice call manually today. If the AI agent resolves even 40% of calls end-to-end and reduces average handle time by 3 minutes on escalated calls, you're recovering 100+ agent hours per week. At $15-20/hour blended rate, that's $80k-100k annually in labor capacity redirected to complex cases. The system pays for itself in roughly 10 weeks of operation, then continues generating capacity without adding headcount.

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.