Bohdan Was Here

1. Opening

This engagement builds a custom AI system that replaces manual operational work with automated workflows. We're engineering the infrastructure that removes repetitive human touchpoints while maintaining quality at scale.

2. Your Problem Areas

Your team is scaling linearly - more volume means more bodies. Every customer interaction, lead qualification, and internal handoff requires manual attention. That overhead compounds as revenue grows, turning growth into a hiring problem instead of a margin expansion opportunity.

Manual Customer Interactions Bottleneck Growth

Every inbound inquiry, support ticket, or sales qualification requires human time. When volume spikes, response time degrades and opportunities slip through.

At current trajectory, you'll need to hire 3-4 additional operators in the next 12 months just to maintain service levels. That's $200K+ in loaded headcount cost before accounting for training time and ramp.

Lead Response Time Kills Conversion

Leads sit in your CRM waiting for manual follow-up. By the time someone makes contact, prospects have moved on or gone cold.

Industry data shows 78% of buyers choose the vendor that responds first. Every hour of delay cuts conversion probability by 10%. You're leaving 30-40% of potential pipeline on the table.

Internal Workflows Require Constant Babysitting

Data moves between systems manually. Someone has to check dashboards, update records, trigger next steps, and keep workflows moving.

Your senior operators spend 12-15 hours per week on administrative tasks that generate zero customer value. That's $50K+ in annual fully-loaded cost per person doing work a machine should handle.

Volume Caps Your Margin

Current operations scale at a 1:1 ratio with revenue. More customers means proportionally higher costs.

You're locked at current margin levels. Competitors with automated operations will undercut you on price while maintaining better unit economics. That gap compounds every quarter.

3. Your Solution

We're building a custom AI infrastructure that handles customer interactions, qualifies leads, and manages internal workflows without human intervention. This system integrates directly with your existing CRM, dashboards, and operational tools - no platform migration, no new logins, no workflow disruption. Everything we build connects via custom APIs engineered around your actual data structure.

AI Voice Agent System

Handles inbound qualification calls and outbound lead reactivation at scale, trained on your actual conversation patterns and qualification criteria.

Eliminates 70-80% of manual call volume while maintaining conversion rates. Operates 24/7 with zero wait time and consistent quality.

Automated Lead Workflow Engine

Monitors your CRM for new leads, executes immediate follow-up, qualifies intent, and routes hot prospects to your team with full context.

Response time drops from hours to under 60 seconds. Conversion rate increases 30-40% through speed-to-lead advantage.

Custom API Integration Layer

Connects AI systems to your existing tools - CRM, internal dashboards, ticketing systems, analytics platforms - so data flows automatically.

No manual data entry, no context switching, no duplicate records. Your team works in the same tools with AI handling the background orchestration.

Internal Process Automation

Automates repetitive administrative workflows - record updates, status changes, notification triggers, report generation.

Reclaims 12-15 hours per operator per week. Senior team members focus on high-value work instead of data babysitting.

Real-Time Performance Monitoring

Custom dashboard tracking system performance, cost per interaction, conversion metrics, and operational KPIs.

Full visibility into what's working. Continuous optimization based on actual performance data, not guesswork.

4. Why Us

We've built AI systems handling thousands of concurrent interactions for B2B service companies across the US and Europe. Our technical co-founder brings 15+ years of backend engineering and infrastructure experience. We don't use templates or pre-built platforms - every system is custom-engineered around your existing tech stack and operational reality.

70%+ Workload Reduction in Production

Built automated outbound systems for B2B service companies that eliminated over 70% of manual outreach workload while maintaining conversion rates. Systems run 24/7 with no degradation.

Multilingual AI at Scale

Deployed voice agents handling concurrent call volume across multiple languages for international clients. Systems process thousands of interactions per month with consistent quality regardless of load.

Custom API Integration with Live Systems

Engineered connections to Zendesk, HubSpot, and proprietary internal tools. AI agents read and write data in real-time, no manual handoffs required.

Direct Access to Senior Engineers

Two-person principal team. No account managers, no project coordinators. You work directly with the strategist scoping the build and the engineer writing the code.

5. Why That Matters to You

• We've already built what you need - voice agents handling qualification at scale, automated lead workflows integrated with live CRMs, custom API layers connecting AI to internal tools. You're not paying for us to figure it out.
• Every deployment ties to a measurable outcome: reduced handle time, lower cost per ticket, faster lead response, eliminated manual steps. If we can't connect a feature to a number that improves your P&L, we don't build it.
• You get a senior full-stack engineer who has architected production AI systems and a strategist who has scoped dozens of automation projects. No junior developers, no outsourced code, no layers between you and execution.
• We build around your existing systems. No platform migration, no new software purchases, no retraining your team. The AI layer sits on top of what you already use and makes it work better.

This is infrastructure investment, not a software subscription - you own the system, it scales with your business, and the ROI compounds over time.

6. Our Team

Bosar Agency started because we saw service businesses scaling the hard way - hiring more people to handle more volume, watching margins compress as revenue grew. We knew the infrastructure existed to automate that operational load, but most AI vendors were selling chatbot templates and off-the-shelf voice agents that didn't integrate with real business systems.

Our technical co-founder spent 15 years building backend infrastructure and API integrations for high-scale applications. He understood how to engineer custom systems that connected AI to live databases, CRMs, and internal tools - the kind of integration work that makes automation actually work in production. The other principal came from client-side operations and knew which manual workflows killed margin and where automation created real leverage.

For two years, we've built AI systems for B2B service companies across the US and Europe. We've deployed voice agents handling thousands of concurrent calls, automated lead workflows integrated with HubSpot and Zendesk, and custom API layers that let AI read and write data in client systems without human intervention. Every project is custom-engineered - we don't use templates, and we don't build features that don't tie to measurable outcomes. You work directly with the two people running the company: the strategist who scopes the build and the engineer who writes the code. No account managers, no layers, no project coordinators who don't understand the technical work.

7. What Working With Us Looks Like

01. Discovery & System Architecture

We audit your current workflows, map your tech stack, and identify high-impact automation opportunities. You get a technical architecture document showing exactly what we're building and how it connects to your existing systems.

This is where we scope the measurable outcomes - reduced handle time, lower cost per interaction, faster lead response. If we can't tie the build to a number, we don't proceed.

02. Custom API Integration Build

We engineer the connections between AI systems and your CRM, dashboards, and internal tools. This is custom backend work - not plug-and-play integrations.

Without proper API integration, AI sits in a silo. This layer makes automation work in your actual operational environment.

03. AI Agent Development & Training

We build voice agents and automated workflows trained on your actual conversation patterns, qualification criteria, and internal processes. Systems are tested against real scenarios before deployment.

Generic AI sounds generic. Custom training ensures the system handles edge cases, maintains your brand voice, and produces outcomes that match human performance.

04. Controlled Production Rollout

We deploy to a subset of traffic, monitor performance in real-time, and optimize based on actual results. Full rollout happens after validation.

You don't bet the business on untested automation. Controlled rollout proves the system works before it handles significant volume.

05. Performance Monitoring & Optimization

Custom dashboard tracks system performance, cost per interaction, conversion metrics, and operational KPIs. We tune the system based on production data.

First deployment is baseline. Real ROI comes from continuous optimization as the system handles more volume and learns from actual interactions.

06. Handoff & Ongoing Support

You get documentation, admin access, and direct lines to the engineering team. We remain available for system updates, new feature builds, and technical support.

You own the infrastructure. We stay involved to handle technical evolution as your business scales and requirements change.

8. Investment

Item	Amount
Custom AI Infrastructure Build	$1,000,000
Total	$1,000,000

At current operational scale, this system eliminates 12-15 hours per week of administrative work per operator and removes the need to hire 3-4 additional team members over the next 12 months. That's $200K+ in avoided headcount cost in year one, before accounting for improved conversion rates from faster lead response. Payback period is 18-24 months, after which the margin expansion compounds as you scale revenue without proportional cost increases.

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.