AI agents, CRM/1C/BI integrations, end-to-end analytics, Telegram bots and mini apps delivered turnkey.
AI Consulting and AI Implementation for Business
I help companies in Saint Petersburg, Moscow, and across Russia implement applied AI into real business workflows. The core focus is marketing, sales, customer service, and executive analytics. Delivery model: business audit, AI architecture design, pilot launch, then full-scale rollout.
Typical implementation scope includes AI agents, CRM integrations, lead-processing automation, AI call analytics, executive dashboards for owners and C-level teams, and Telegram bots with mini apps. The priority is measurable impact: conversion growth, faster lead processing, better data visibility, and stronger operational control.
Typical business tasks
- Deploying AI agents in sales and customer support
- Integrating AI with CRM, 1C, BI, and internal systems
- Marketing automation: SEO, GEO, and content workflows
- End-to-end analytics, Business Health Score, KPI monitoring
- Telegram bots and mini apps for growth and service operations
If you need practical AI implementation focused on business outcomes, start with a short audit to define high-impact scenarios, integration architecture, and a realistic rollout roadmap.
Implementation method: audit → pilot → scale
Audit. In 1–2 weeks, we map the current funnel, data sources, bottlenecks, and target KPIs that should change after AI implementation.
Pilot. We launch one priority scenario on real business flow: leads, calls, CRM, marketing, or executive analytics. The first working loop usually takes 2–4 weeks.
Scale. Once the effect is confirmed, the pattern is extended to related processes with integrations and regular metric control.
Short cases with measurable results
AI sales automation
In a 6-week B2B service pilot, first response time dropped from 42 to 6 minutes, processed requests grew from 71% to 96%, and CRM card completion improved from 58% to 92%. More: AI sales case.
AI call quality control
In a 7-week sales and contact-center pilot, call coverage grew from 8% to 100%, average call review time dropped from 12 to 2.5 minutes, and CRM completion improved from 64% to 95%. More: call analytics case.
AI for marketing and GEO
In an 8-week marketing pilot, preparation time for one content item dropped from 2–3 hours to 35 minutes, monthly publishing volume grew from 5 to 18 items, and KPI-based content tasks increased from 30% to 82%. More: AI marketing case.
