You will get Custom AI Communication Quality & Security Analysis System
Project details
Build a proprietary AI call-analysis asset in your own Google Cloud instead of renting generic SaaS. Our system delivers a "glass box" AI architecture that analyzes 100% of calls with traceable, evidence-based scoring tuned to your unique business rules. Every numeric score or Yes/No decision is linked to a specific transcript quote, enabling audit-ready, surgical-precision insights rather than vague keyword statistics. Zero vendor lock-in; you own the code, data, and roadmap.
Designed for CEOs, COOs, CFOs, and Heads of Sales, the solution translates raw conversations into business language: increased company valuation (IP asset on balance sheet), full data sovereignty, operational transparency with BigQuery-ready analytics, and measurable impact on conversion rate, ramp-up time, and unit economics. Replace recurring per-seat SaaS fees with transparent pay-as-you-go cloud costs. You gain a long-term capital asset, not a sunk monthly expense, with a checklist-driven methodology that explains exactly why each deal was won or lost and which behaviors should be scaled across the team.
Designed for CEOs, COOs, CFOs, and Heads of Sales, the solution translates raw conversations into business language: increased company valuation (IP asset on balance sheet), full data sovereignty, operational transparency with BigQuery-ready analytics, and measurable impact on conversion rate, ramp-up time, and unit economics. Replace recurring per-seat SaaS fees with transparent pay-as-you-go cloud costs. You gain a long-term capital asset, not a sunk monthly expense, with a checklist-driven methodology that explains exactly why each deal was won or lost and which behaviors should be scaled across the team.
AI Development Type
Recommendation System, Software MaintenanceAI Tools
Google AutoML, PyTorch, Sonnet, TensorFlowAI Development Language
PythonWhat's included $9,000
These options are included with the project scope.
$9,000
- Delivery Time 20 days
- Number of Revisions 3
- AI Model Integration
- Detailed Code Comments
- Model Documentation
- Source Code
- Taxonomy
Optional add-ons
You can add these on the next page.
Extended Support & Monitoring
(+ 10 Days)
+$1
Implementation Checklist & Playbook
(+ 5 Days)
+$450About Roman
AI Solutions Architect | GCP Cloud Engineer | Business Automation n8n
Lviv, Ukraine - 11:12 pm local time
AI/ML Solutions Architect
GCP Specialist
Prompt Engineering
API Integration
Automation
Steps for completing your project
After purchasing the project, send requirements so Roman can start the project.
Delivery time starts when Roman receives requirements from you.
Roman works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Success Criteria
We review your current call workflow, tech stack, and business goals, then define success criteria and data sources. Together we agree on the KPIs, scoring logic, and rollout plan for your proprietary AI analysis system.
Implementation & Data Pipeline
I configure the AI call‑analysis pipeline in your Google Cloud, connect telephony/CRM data, and apply your custom scoring logic. You receive a working “glass‑box” system that analyzes 100% of calls with evidence‑linked metrics.