EffectOn Marketing
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AI for Business

AI Implementation for Marketing, Sales & Operations

80% of AI projects fail to deliver measurable results without external expertise. We help implement AI with real outcomes — from process audit to scaling.

Discuss AI ImplementationHow It Works

67%

success rate with consultants

WorkOS Research

4–8

weeks to first pilot

+30%

marketing productivity boost

BCG

Who It’s For

Is This Service Right for You?

This is for you if…

  • You want to automate routine processes but don’t know where to start
  • You bought AI hardware but aren’t seeing results
  • Competitors are already using AI and you’re falling behind
  • You’re spending too much on manual work in marketing, sales, or support
  • You want a pilot in 2–4 weeks, not a “year-long project”

This is NOT for you if…

  • You’re looking for an off-the-shelf SaaS — we build custom solutions for your processes
  • No budget for implementation (pilot starts at $5,000)
  • You’re not ready to assign a point person on your team
  • You only need a chatbot without business process integration

Who 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.

  • No AI experience — need a structured approach
  • Want to understand where AI delivers maximum impact
  • Need a roadmap and expert guidance

“Bought Equipment but No Results”

44% of enterprises can’t effectively utilize purchased GPU servers, with average utilization at 15–20%. We step in and build AI applications tailored to your needs.

  • Servers purchased but sitting idle
  • No team for AI implementation
  • Need AI architecture expertise

Why Now

AI Is No Longer Optional

$3.70

return on every $1 invested in GenAI

Google Cloud 2025

95%

of AI pilots fail without an experienced partner

MIT 2025

$73M

venture investment in AI in Kazakhstan, 5x in 2 years

Astana Times

2026

Year of Digitalization and AI in Kazakhstan

Presidential Decree

The AI Law — first in Central Asia — came into force on January 18, 2026

Use Cases

AI for Marketing, Sales & Operations

AI for Marketing

  • Content and creative generation
  • Ad campaign analysis
  • Communication personalization
  • Demand forecasting

+30% marketing productivity (BCG)

AI for Sales

  • Lead qualification and scoring
  • Automated proposals
  • Call and meeting analysis
  • Conversion forecasting

81% confirm: AI shortens the sales cycle (Cirrus Insight)

AI for Operations

  • Automated reporting
  • Knowledge base with AI search
  • Process quality control
  • Predictive analytics

Addressing Concerns

Answers to Common Doubts

95% of AI projects fail because of the wrong approach, not the technology. Here’s how we solve that.

“It’s too expensive”

Pilot from $5,000. ROI visible within the first month — $3.70 return per $1 invested (Google Cloud). Average productivity boost: 26–55%.

“We don’t have data for AI”

70% of solutions work with existing data. During the audit phase, we assess your data readiness — free of charge.

“AI will make mistakes”

Human-in-the-loop: AI suggests, humans approve. 92%+ accuracy on real projects. AI error rates are lower than human error rates.

“Won’t integrate with our systems”

We work with CRM, ERP, 1C, Bitrix, legacy databases. Integration with your stack is our core competency.

“The team won’t use it”

Training and change management are included in every project. 3-phase adoption: training → support → autonomous work.

“Technology changes too fast”

We design vendor-agnostic architecture with replaceable components. No lock-in to a single provider.

Process

How We Implement AI

01

AI Audit & Prioritization

Analyze business processes, assess infrastructure, select 2–3 highest-impact scenarios.

1–2 weeks

02

Architecture & Plan

Design the AI solution, select models and tools, source hardware through partners.

2–3 weeks

03

Pilot & Deployment

Launch a pilot scenario, integrate with CRM/ERP/marketing systems, measure results.

4–8 weeks

04

Scaling

Expand to other processes, train the team, monitor and optimize.

Ongoing

What’s Included

Full AI Implementation Cycle

AI Business Process Audit

Identifying scenarios with maximum ROI

AI Architecture Design

For marketing, sales, and operations

AI Agents

Content generation, lead qualification, analytics, automation

Piloting

1–2 scenarios with measurable KPIs in 4–8 weeks

Server Infrastructure

Dell PowerEdge & Cisco Nexus sourcing and setup through trusted partners

Team Training

AI tools, best practices, building internal expertise

Hardware

Server Infrastructure for On-Premise AI

For companies that need on-premise AI, we source and coordinate hardware delivery through trusted partners.

Dell PowerEdge XE

GPU servers for enterprise AI

Dell AI Factory

Full enterprise AI stack

Cisco Nexus

AI-ready network infrastructure

FAQ

Frequently Asked Questions

How much does AI implementation cost?+
A pilot project starts at $5,000 (1–2 scenarios, 4–8 weeks). Full implementation starts at $50,000 depending on scale. The cost includes audit, development, integration, and team training.
How long does implementation take?+
Pilot: 4–8 weeks. Full implementation for one area: 2–4 months. Enterprise-wide transformation: 6–12 months. First results are visible during the pilot phase.
What ROI can we expect?+
According to Google Cloud, GenAI returns $3.70 for every $1 invested. 74% of executives achieve ROI in the first year (Multimodal). Specific figures depend on the scenario.
Where should we start with AI?+
With a free consultation. We’ll conduct an AI audit of your processes, identify 2–3 highest-impact scenarios, and propose an implementation plan with specific KPIs.
Do we need AI specialists on our team?+
No. We assemble the project team — from Data Scientists to DevOps engineers. You only need a business-side point person. After implementation, we’ll train your team for autonomous work.
How is data security ensured?+
On-premise option available — data never leaves your infrastructure. For cloud solutions, we use encryption and isolated environments. Data is never used to train public models.
Can AI integrate with our existing systems?+
Yes. We work with CRM (Bitrix24, AmoCRM, Creatio), ERP (1C, SAP), marketing platforms, and legacy systems. Integration is our key competency.
What if the AI project doesn’t deliver results?+
80% of AI failures result from wrong problem framing, not technology. Our approach: start with a pilot with measurable KPIs. If the pilot underperforms, we adjust before scaling.
Which industries benefit from AI implementation?+
Finance, retail, manufacturing, logistics, healthcare, IT, marketing. 68% of Central Asian banks already use AI. In retail, AI delivers +15% conversion uplift.
Why EffectOn Marketing?+
We operate in Central Asia — we understand the local market, regulations, and business culture. We work with authorized Dell and Cisco partners. Full cycle: from consulting to coordinating hardware delivery and support.

Ready to Implement AI?

Let’s discuss your goals and determine the optimal engagement format. Start with a free consultation.

Discuss AI Implementation