Case study 04

Marketing Management & AI

PMAX

Standardizing Strategy, Processes and People on one unified growth system. Applying AI at the core links to eliminate manual work, cut operating costs and break through on business performance.

01Challenge

A multi-channel operation is easily overloaded. Scattered data and 40% of time wasted on repetitive tasks drained the team's creativity and limited its strategic thinking.

02Objective

Free up execution time to focus on strategy, creativity and testing new ideas, while maintaining output quality and staying true to the brand identity.

03Execution

Standardize processes before adopting technology. AI handles high-volume execution, while the manager sets direction and approves at the core stages.

Operational efficiency optimized with AI

Estimated figures, comparing the same workload before and after adoption.
-50%

Time to build the monthly plan

-40%

Time for research and briefing

2x

Ad creatives tested per round

~8hrs
Saved every week on reporting
<24hrs
For new leads to be scored and receive an email
01How I think

Every decision starts with a business goal

When facing a new problem, I don't start with tools or channels. I start with the goal that needs to change, then build the strategy and actions. AI is placed at the right link to accelerate operations and elevate decisions.

01

Business goals

Target revenue and growth for each period.

02

Customer insight

Personas, psychological barriers and buying behavior.

03

Strategy

Brand positioning, key messages and budget allocation.

04

Channels and content

Roles, messaging and content matrix for each channel.

05

Execution

Assigning people, packaging SOPs and setting deadlines.

06

Measurement

Setting KPIs/OKRs to measure performance at each funnel stage.

07

Optimization

Scale what works, cut or improve what underperforms.

The results and measurement data from this cycle become the strategic input for step 01 of the next cycle.

Data → Decisions

I read the numbers in four steps so every review ends with one concrete action.

01

Current state

Pinpoint exactly what went up or down, and on which channel.

02

Root cause

Content, audience, budget or timing.

03

Impact

How that change affects the business goal.
04

Action

Keep, adjust, stop or scale up the budget.
02Controlling AI

AI helps the team move faster, but output quality is my responsibility

I delegate work across 3 tightly controlled levels. The team knows the boundaries clearly: what AI runs on its own, what needs approval, and what is never handed over to AI entirely.

Level 1

AI does it

For repetitive, high-volume, low-risk tasks. I spot-check weekly to make sure nothing drifts from the standard.

  • Compiling data and drafting reports
  • Scoring and segmenting leads by behavior
  • Drafting content and ad creative variants
  • Repurposing posts for multiple channels
Level 2

AI proposes, I approve

Everything published to the public or sent to Leaders/ Management goes through strict review, no matter how well AI writes.

  • Publicly published content
  • Emails and scripts sent to customers
  • Campaign concepts and key visuals
  • Industry insight reports
Level 3

Only I decide

Strategic decisions involving budget and brand reputation. AI only acts as a data advisor.

  • Budget and allocation across channels
  • Brand positioning, messaging and tone of voice
  • Acceptance criteria for qualified leads
  • Which customer data is fed into AI
A typical work cycle between me and AI
I decideAI executes
  1. 01 · MeDirectionBrief, goals and success criteria
  2. 02 · AIGenerate optionsMultiple drafts and variants
  3. 03 · MeEdit & challengeFix errors, add real insight
  4. 04 · AIScale outAdapt for each channel
  5. 05 · MeApprove & own itFinal sign-off and accountability
At the end of each cycle, the lessons learned go into the next cycle's brief.
03AI in practice

6 links in Marketing operations optimized with AI

A closer look at how AI is embedded in real workflows, with actual metrics, toolsets and the matching level of control.

Research & Insight

Level 2: I approve

Time per research round3 days→1 day

AI gathers market data and search trends. I focus on analyzing customer psychology and verifying how reliable the information is.

ToolsChatGPTPerplexityGoogle Trends

Strategy & Planning

Level 2: I approve

Time to build the monthly plan24 hrs→12 hrs

AI builds the plan framework and flags logic gaps. The team and I lock in a differentiated direction and set priorities.

ToolsChatGPTClaudeGeminiNotion AI

Content & Creative

Level 2: I approve

Posts per month, same headcount60 posts→85 posts

AI turns one core idea into a multi-channel content series. The team acts as editors, bringing real experience into the content.

ToolsChatGPTClaudeCanva AICapCut

Media & Performance

Level 2: I approve

Creatives per test round4 creatives→8 creatives

AI algorithms automatically combine ad creatives and optimize bidding. I own the goals, the budget and its allocation.

ToolsMeta Advantage+Google Ads AIPAXY

Automation & CRM

Level 1: AI runs on its own

Response time for hot leads24 hrs→2 hrs

The system automatically segments leads and triggers nurturing sequences as soon as data comes in. High-quality leads are passed straight to the sales team.

ToolsHubSpotBitrix24

Data & Analytics

Level 1: AI runs on its own

Time to produce a report2 days→3 hrs

Data is consolidated into one shared dashboard, and AI flags unusual fluctuations automatically. Management meetings focus 100% on solutions.

ToolsChatGPTClaudeLooker StudioGoogle Analytics 4

04Management and leadership

A Leader's biggest role is to raise the capability of the whole team

As AI frees people from repetitive tasks, I have more time for strategic direction, raising quality standards and unlocking the potential of each person on the team.

A leader is measured not by how many tasks they finish themselves, but by an operating system that runs efficiently and a team empowered in the right places.

Setting direction

Helping people grasp the big picture and core priorities, so they can own their work with confidence instead of waiting for instructions.

Setting standards

Packaging processes, documentation and standard evaluation frameworks - keeping output quality consistent even when the team changes.

Developing people

Training the team to shift from doing manual work to directing and quality-checking AI output.

ARE YOU READY

To integrate AI into your company's Marketing system?

If you need a leader who can pioneer AI integration into Marketing processes, optimize operating costs and turn technology into real growth results - let's connect.