Voice AI · Flagship
AI Call Center
A production platform for AI phone campaigns, customer conversations, CRM actions, scheduling, and live operational analytics.
Visit AI Call CenterFounder · Architect · Plain-English AI
AI That Works.
I'm Ihor Parinov, an AI solutions architect and founder building production systems for voice operations, healthcare, media and operations.
1.5M+minutes of customer calls processed by deployed AI
936%median estimated first-year ROI across 26 eligible voice AI deployments in 2025
57+AI projects implemented
Since 2017implementing AI
About
Build for real life impact.
My path into AI started in 2017, when my call center needed to predict how many agents we would need on each shift. It was one of the daily tasks of managing the messy reality of running sales and operations at scale—managing thousands of chaotic conversations, volatile demand, and the constant breaking points of human-dependent systems.
Before I fell in love with building AI products, I was managing large teams and learning exactly where humans get overwhelmed. Surprise-surprise: it’s usually slow response times, unpredictable quality, and important details getting trapped in someone’s head.
Today, I like to think I’ve found a better way. I combine AI models, voice agents, and rock-solid software to handle the heavy lifting—like qualifying demand, booking appointments, or organizing complex histories. A little operational leverage can go a long way.
Allowing people to focus on high-level tasks while AI handles the routine work.
Selected work
Systems in the world.
Projects shaped by real constraints: high-volume calls, sensitive health records, clinical protocols, and editorial deadlines.
Healthcare AI
SyncMD
A progressive AI pipeline that turns thousands of fragmented medical pages into a coherent, source-linked patient history.
Visit SyncMDClinical research
Clinical Trial Workspace
A protocol-driven workspace covering study setup, eCRFs, subject execution, integrity checks, and research budgeting.
Research · Part A
Does telling an AI “you are an expert” still help?
I tested role prompts on a tool-using scheduling task across 2,160 runs. Adding a role did not improve performance. Giving the model more time to think did.
Read the public reportTask success120 scenarios · July 2026
Non-thinking
88.5%
Medium thinking
96.9%
Role prompt: no clear improvement
Conversations & coverage
Public Conversations.
Media coverage, interviews, and public conversations about voice AI, healthcare systems, operations, and making AI easier to understand when it meets real work.
Dan DramshevInterview
CEOWORLD Magazine2025
Focus.ua2025
DoubleTopInterview