Prepared by
Yev Beg | Co-Founder & CEO
AI MVP Deployment Program for
Mirai Capital Global
Prepared for
Date
February 3rd, 2026
Project Objective
This project outlines the design and deployment of two production-grade AI MVPs intended to be implemented directly within operating portfolio companies.
The objective is not conceptual validation, but real-world deployment, usage, and performance evaluation inside live business environments.
The MVPs are designed to operate as standalone systems that can be expanded, refined, or replicated across additional companies following successful deployment. This approach allows for practical validation of both the technology and Vexia’s execution capability under real operating conditions.
MVP 1: Outbound Sales Conversational Voice AI
1. Purpose
Deploy an outbound voice AI capable of conducting natural, two-way sales or qualification conversations with external prospects.
The objective is to validate depth of conversation and domain understanding, not just call automation.
2. Core Functionality
Initiates outbound calls
Conducts conversational sales or qualification flows
Handles follow-up questions and objections
Adapts responses dynamically based on prospect input
Routes or escalates when appropriate
The benchmark for this trial is comparison to a trained SDR on first-touch outbound conversations.
3. Configuration Inputs
Product or service knowledge
Target audience and call objective
Approved messaging and boundaries
Region-specific calling logic
4. Compliance Considerations
Regional outbound calling and AI disclosure requirements must be respected
The leads must have opted in to prior and cannot be completely cold as per outbound AI laws in majority of regions.
Deployment can be limited by geography where needed
Compliance is treated as a deployment constraint, not a blocker.
5. Deployment Model
Lead list provided by the company
Controlled pilot volume
Defined success criteria (e.g., engagement, qualification, bookings)
Performance and call data reviewed for validation
Lead list context and background
6. Validation Focus
Ability to sustain natural conversations
Quality of responses under non-scripted conditions
Objection handling depth
Consistency across calls
Practical usefulness versus human SDRs
MVP 2: Internal Conversational Operations AI
Purpose
Deploy a conversational AI assistant trained on company-specific operational knowledge to reduce internal dependency on managers for routine questions, onboarding, and task execution.
This system acts as a first-line internal reference, accessible via chat or voice, for employees across roles.
Core Functionality
Conversational Q&A based on internal documentation
Context-aware responses based on role, department, or task
Step-by-step guidance for operational workflows
Support for onboarding, daily execution, and edge cases
Available 24/7 without manager involvement
This is not a static FAQ.
The system is designed to reason across company-specific knowledge and guide employees in real time.
3. Data Inputs
SOPs and internal process documentation
Training and onboarding materials
Policies, compliance rules, and internal guidelines
Product or service documentation
Historical internal Q&A where available
The system is trained on company-specific operational knowledge, not generic information.
4. Deployment Model
One company or department for pilot
Scoped knowledge base provided by the company
Usage and interaction data tracked for validation
5. Operational Impact (Validation Focus)
Reduction in repetitive manager questions
Faster onboarding and ramp-up time
More consistent task execution
Centralized institutional knowledge
Lower operational friction across teams
Questions / Confirmations
To proceed efficiently, we’ll need clarity on the following:
Which portfolio company will each MVP be deployed in first?
Who will be the primary point of contact on their side for each MVP
Any internal constraints we should account for early (IT, legal, data access)
Once these are aligned, we can move directly into build and deployment.
Timeline for both MVPs
Next steps
1
Confirm Scope & Milestones
2
Schedule kickoff date
3
Technical Planning
4
Development and Technical Execution
Questions?
This overview serves as a framework for our collaboration. Please review and confirm your agreement to proceed.
We are looking forward to being your next partner.
Best regards,
Co-Founder & CEO