AI Implementation for Marketing, Sales & Operations
AI is no longer a future promise — it's a competitive advantage today. But 80% of AI projects fail to deliver measurable results without external expertise (AI Consulting Market Guide). Companies with external consultants achieve a 67% success rate versus 33% for internal teams (WorkOS Research).
We help two types of companies:
- "Just exploring AI" — we conduct an audit, identify scenarios with the highest ROI, and launch a pilot in 4–8 weeks
- "Bought equipment but no results" — 44% of enterprises can't effectively utilize purchased GPU servers, with average utilization at 15–20% (ClearML, HP Enterprise). We step in and build AI applications tailored to your business needs
AI for Marketing
Content generation, ad campaign analysis, personalization, demand forecasting. AI boosts marketing productivity by up to 30% (BCG).
AI for Sales
Lead qualification and scoring, automated proposals, call analysis, conversion forecasting. 81% of sales professionals confirm: AI shortens the sales cycle (Cirrus Insight).
AI for Operations
Automated reporting, corporate knowledge base with AI search, process quality control, predictive analytics for decision-making.
Why Now
Only 13% of organizations are fully AI-ready (Cisco AI Readiness Index), yet 98% say urgency has increased. Kazakhstan declared 2026 the Year of AI, and 36% of Central Asian financial organizations have already implemented AI (THE TECH).
Server Infrastructure
For companies that need on-premise AI, we provide hardware delivery and setup:
- Dell PowerEdge XE — GPU servers for enterprise AI
- Dell AI Factory — full enterprise AI stack
- Cisco Nexus — AI-ready network infrastructure
What's included
- AI audit of business processes: identifying scenarios with maximum ROI
- AI architecture design for marketing, sales, and operations
- AI agents: content generation, lead qualification, analytics, automated reporting
- Piloting 1–2 scenarios with measurable KPIs in 4–8 weeks
- Server infrastructure delivery and setup (Dell PowerEdge, Cisco Nexus) for on-premise AI
- Team training on AI tools
How it works
01
AI audit & prioritization
We analyze business processes, assess current infrastructure, and select 2–3 scenarios with the highest impact.
02
Architecture & roadmap
We design the AI solution, select models and tools, specify hardware if needed. Roadmap for 8–12 weeks.
03
Pilot & deployment
We launch a pilot scenario, integrate with CRM/ERP/marketing systems, and measure results.
04
Scaling & support
We expand to other processes, train the team, monitor and optimize AI solutions.
Discuss partnership
Tell us about your company and goals. We'll respond within one business day.

