AI Chatbot System for Commodious Training & Remote Monitoring Platform

1. Opening

You're running two systems that require user support - a remote monitoring platform and a training business. Both are fielding questions manually or routing users through fragmented help documentation that slows onboarding and creates friction.

2. Your Problem Areas

Your remote monitoring system relies on technical documentation written by engineers, not end users. Your training business answers questions through delayed human responses. Neither scales without adding more support hours, and both create bottlenecks when customers need immediate answers.

Self-Referencing Documentation Kills Onboarding

New users to your remote monitoring system bounce between multiple help articles written in technical language. They can't find answers in plain English, which extends time-to-value and increases churn risk.

Every confused user generates a support ticket or abandons setup. That's lost time for your team and lost revenue from customers who never fully adopt.

Training Questions Create Week-Long Response Delays

Customers ask in-depth questions during training but wait days for a coach to respond. Real-time learning stalls while they wait for answers they need immediately.

Delayed answers mean delayed application. Students lose momentum, retention drops, and you lose competitive ground to anyone offering instant support.

Manual Support Doesn't Scale With Growth

Both businesses rely on human response time. Every new customer increases support load linearly. You can't grow volume without adding headcount or sacrificing response quality.

Support costs scale with revenue instead of staying flat. You're choosing between slower responses or hiring more people to answer repetitive questions.

3. Your Solution

We're building two AI chatbot systems - one for remote monitoring onboarding, one for training support. Both pull from your existing knowledge base (help docs, PDFs, government reference sites), scrape external sources on a refresh schedule, and answer user questions in natural language instantly. Deploy as web widgets with zero engineering lift on your end.

Knowledge Base Integration

We scrape your help documentation, training materials, PDFs, and specified government/reference websites, then structure them into a vector store the chatbot queries in real time.

Users get answers sourced from your actual content - no generic responses, no hallucinated advice.

Natural Language Query Interface

Users type questions in plain English. The chatbot interprets intent, retrieves the relevant information, and responds conversationally without forcing users to navigate nested help articles.

Onboarding time drops. Training customers get immediate answers. Support volume decreases.

Periodic Content Refresh

We set up scheduled scraping for external reference sites so the chatbot stays current as regulations or source material updates, without manual intervention.

Information stays accurate over time. You're not maintaining documentation manually or worrying about outdated answers.

Web Widget Deployment

Both chatbots deploy as embeddable widgets on your sites. We provide the code snippet, your developers paste it in, and it's live. No custom backend integration required.

Launch in days, not months. No ongoing maintenance overhead for your engineering team.

Prompt Engineering & Iteration

We engineer the prompts to prevent hallucination, ensure tone matches your brand, and handle edge cases. As you see real usage, we refine behavior based on performance.

The system improves over time instead of degrading. You're not stuck with a static bot that gives bad answers.

4. Why Us

We've built AI systems for B2B service companies across the US and Europe that handle customer interactions at scale - inbound qualification, outbound reactivation, multilingual support. We specialize in connecting AI to existing client infrastructure (CRMs, dashboards, ticketing tools) through custom API work, which means we know how to make these systems work inside real operational environments, not just demos.

70%+ manual outreach workload eliminated

We've deployed automated outbound systems for B2B service businesses that removed the majority of repetitive sales and follow-up tasks without sacrificing quality.

Production voice agents handling concurrent volume

Our AI voice agents manage inbound qualification and lead reactivation in live environments, processing multiple calls simultaneously with zero degradation in response accuracy.

Multilingual systems serving international clients

We've engineered chatbots and voice agents that operate in multiple languages for service businesses spanning US and European markets, all integrated with client CRMs and internal tools.

5. Why That Matters to You

• We build around your existing systems - your help docs, your training content, your reference sites - not generic templates that force you to restructure how you operate.
• Our technical co-founder brings 15+ years of backend engineering and infrastructure experience, which means we architect these systems for reliability and scale from day one.
• You get direct access to the people building your system - no project managers, no layers, no miscommunication between sales and engineering.
• We scope every feature against a measurable outcome: reduced support tickets, faster onboarding, eliminated response delays. If it doesn't move a number, we don't build it.

This isn't a chatbot experiment - it's infrastructure that handles real customer volume while your team focuses on work that actually requires human judgment.

6. Our Team

Bosar Agency started because we kept seeing service businesses try to scale customer interactions by hiring more people. Support teams grew. Sales teams grew. Onboarding teams grew. Revenue grew, but so did cost and complexity. We realized most of those conversations - the repetitive questions, the qualification calls, the routine follow-ups - could be automated if the systems were built right.

We're a two-person core team. One handles client strategy, sales, and scoping. The other is a senior full-stack engineer who architects and builds every system we deploy. Our technical co-founder brings 15+ years of backend engineering and infrastructure experience, which means the systems we build don't just work in demos - they work at scale, under load, in production. When a specific build requires specialist expertise, we bring in contractors we've worked with for years. Small team, no bureaucracy, direct access to the people doing the work.

Over the past two years, we've built AI voice agents handling inbound and outbound calls, chatbots integrated with CRMs and internal dashboards, and automated outbound systems that eliminated 70%+ of manual workload for B2B service companies. We've deployed multilingual systems serving clients across the US and Europe. Every system we build connects to the client's existing tools - Zendesk, HubSpot, internal APIs, custom dashboards - because we're not selling a product, we're engineering a solution that fits inside how you already operate. If we can't tie a feature to a measurable outcome, we don't build it.

7. What Working With Us Looks Like

01. Knowledge Base Audit & Source Mapping

We review your help documentation, training PDFs, and external reference sites. You provide access, we map what exists and identify gaps or redundancies in content coverage.

The chatbot is only as good as the information it pulls from. We make sure the foundation is solid before we build on it.

02. Content Scraping & Vector Store Setup

We scrape your documentation and external sites, structure the data, and load it into a vector store. This becomes the knowledge layer the chatbots query when users ask questions.

This step ensures the chatbot answers from your actual content, not generic AI training data.

03. Prompt Engineering & Behavior Tuning

We engineer the prompts to match your tone, prevent hallucination, handle edge cases, and ensure the chatbot responds the way you'd expect a trained support rep to respond.

Generic chatbots give generic answers. Proper prompt engineering makes the system feel like it understands your business.

04. Widget Deployment & Integration

We provide the embed code for both chatbots. Your developers paste it into your sites. We test behavior, response accuracy, and performance under simulated load.

Deployment takes minutes, not weeks. You're live and handling real user questions immediately.

05. Monitoring & Iteration

We monitor early usage, identify weak responses or edge cases, and refine prompts based on real performance. You get a feedback loop to improve accuracy over time.

The system gets better as it sees real questions. Iteration ensures it improves instead of staying static.

8. Investment

Item	Amount
Deposit (due at contract signing)	$2,500
Milestone 1 - System Build & Deployment	$2,500
Total Project Investment	$5,000

You're currently handling support and training questions manually or through delayed human responses. Every hour your team spends answering repetitive questions is an hour not spent on revenue-generating work. These chatbots handle unlimited volume at fixed cost - no added headcount, no scaling support team as you grow. Payback happens the first month you avoid hiring another support person.

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.