Ihor Parinov / AI solutions architect & founder

I build production AI that takes real work off your team: it answers the calls, books the appointments and reads the records.

1.5M+minutes of customer calls handled by AI I deployed
936%median estimated first-year ROI across 26 voice AI deployments in 2025
57+AI projects implemented
2017the year I started building with AI

Selected work

Voice operations

AI for Dental Clinics

Booking time fell from 8 to 3 minutes. Missed calls fell from 12% to 0%.

12% → 0%missed calls
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Voice operations

AI Call Center

A production platform running voice AI across customers, campaigns, calendars and booking systems.

1.5M+call minutes
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Healthcare & clinical research

SyncMD

Thousands of medical pages become one patient history, every conclusion linked to its source.

1,000sof pages processed per patient
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Healthcare & clinical research

Clinical Trial Workspace

One workspace connects study setup, subject execution, data completion and integrity monitoring.

2 weeks → 1 dayto set up a study from a protocol
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Editorial intelligence

News Portal CMS

A developing story moves from discovery through writing, SEO, translation and export in one system.

2 minfrom a breaking story to a published article
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Editorial intelligence

DiscoRadar

Editors at two national newsrooms read live Discover demand by story, publisher, topic and hour, with 1,149 competitors monitored daily.

53k+publications tracked every hour
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AI for Dental Clinics: interface with two illustrative callouts
AI Call Center: interface with two illustrative callouts
SyncMD: interface with two illustrative callouts
Clinical Trial Workspace: interface with two illustrative callouts
News Portal CMS: interface with two illustrative callouts
DiscoRadar: interface with two illustrative callouts
AI for Dental Clinics: interface with two illustrative callouts

Voice operations

AI for Dental Clinics

Booking time fell from 8 to 3 minutes. Missed calls fell from 12% to 0%.

12% → 0%missed calls

Read the case study
AI Call Center: interface with two illustrative callouts

Voice operations

AI Call Center

A production platform running voice AI across customers, campaigns, calendars and booking systems.

1.5M+call minutes

Read the case study
SyncMD: interface with two illustrative callouts

Healthcare & clinical research

SyncMD

Thousands of medical pages become one patient history, every conclusion linked to its source.

1,000sof pages processed per patient

Read the case study
Clinical Trial Workspace: interface with two illustrative callouts

Healthcare & clinical research

Clinical Trial Workspace

One workspace connects study setup, subject execution, data completion and integrity monitoring.

2 weeks → 1 dayto set up a study from a protocol

Read the case study
News Portal CMS: interface with two illustrative callouts

Editorial intelligence

News Portal CMS

A developing story moves from discovery through writing, SEO, translation and export in one system.

2 minfrom a breaking story to a published article

Read the case study
DiscoRadar: interface with two illustrative callouts

Editorial intelligence

DiscoRadar

Editors at two national newsrooms read live Discover demand by story, publisher, topic and hour, with 1,149 competitors monitored daily.

53k+publications tracked every hour

Read the case study

Missed calls, priced.

Two production deployments where the AI answers calls that used to ring out, and turns them into bookings.

Dental clinic network

$1.31M

estimated annual value after AI cost

155 bookings a month×$712×12−$12,000 AI cost

597 AI-handled calls a monthmissed calls 12% → 0%booking time 8 → 3 min

HVAC repair group

$3.22M

estimated annual value after AI cost

603 bookings a month×$447×12−$14,400 AI cost

1,023 AI-handled calls a monthmissed calls 8% → 0%booking time 7 → 5 min

Selected work, by type.

Thirteen projects picked from a longer list. Each built from first concept to working software.

01 / Voice operations4 selected projects

Calls

02 / Healthcare & clinical research4 selected projects

Records

03 / Editorial intelligence3 selected projects

Newsrooms

04 / Applied products2 selected projects

Products

Read about the work in detail

About

I ran a call center before I built AI. In 2017 we had to predict how many agents each shift would need, and that was my first model.

Managing large teams taught me where people get overwhelmed: slow replies, uneven quality, details stuck in someone's head. I now put AI models, voice agents and solid software on exactly those points.

More about my approach

Ihor Parinov presenting production voice AI at Tech Flow

Tech Flow, talk on production voice AI

Research

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.

Non-thinking88.5%
Medium thinking96.9%
Read the report

Talks & press