What does AI consulting cost?

There are three formats: an audit at a fixed price, an implementation sprint as a package and a monthly advisor retainer. The current prices are in the pricing section on this page. Which format fits, I clarify with you beforehand in a free first call (20 minutes). Tool licences you pay directly to the vendors, they don't run through my invoice.

Where do I start if my team uses no AI at all yet?

With a single use case, not with a platform decision. In the analysis I look with you for the task that repeats often, is easy to describe and does little damage if it runs differently. That one becomes the pilot. Only once it works and your team uses it voluntarily does the next use case follow.

How do I know you actually use AI yourself?

Because the usage is public: the AI in Numbers page lists the logged token and image volumes from the providers' dashboards, broken down per model and with a snapshot date. This website itself was built with coding agents. That is no guarantee for your project, but you see exactly what I work with every day.

Can AI optimise my ad campaigns?

Indirectly yes. Directly: Smart Bidding + Performance Max are themselves AI systems. They need clean data (see Website Tracking service). Indirectly: AI helps with creative generation (images, headlines), audience modelling, A/B test hypotheses. That's exactly the performance-marketing AI part of my mandate.

What if I only need the audit, not implementation?

Book AI audit standalone: €700, delivery usually within 5 working days, no contract afterwards. You can implement findings yourself, hand to your team or commission another implementer.

Much of it yes. Some isn't. My job in the audit: filter what's hype and what actually brings ROI for your use case. If the answer is "you don't need it", I'll tell you that too.

AI Consulting · Marketing & Ops

AI Consulting that lands in daily work: analysis, pilot, rollout.

Mijo has been working with AI actively since 2022, from the GPT-3 API through the first Midjourney releases to today's multi-model practice. This website itself was built with coding agents, and the logged usage is public on the AI in Numbers page. For your team that means: creatives straight from the model, clean data for Smart Bidding, custom GPTs for recurring workflows and an EU AI Act classification that runs along from day one.

Book a free intro call

20 min · Google Meet · directly with Mijo

Honest about what's worth it and what isn't.

Who does it

Mijo Jurisic, Google Ads consultant, founder of MJ Marketing.

Working in Google Ads since 2021: self-taught on own online projects, deep dive into auction mechanics, conversion tracking and search-engine logic. 2023-24 as a Google Ads consultant on behalf of Google, responsible for direct Google Ads customers and top agencies in the DACH region. Across my career, 500+ Google Ads accounts and €22M in media budget under direct responsibility.

Since 2024 I have run MJ Marketing as its owner: I work directly with SMEs and local service providers, and I still work with enterprise clients and agencies. No junior handover. No lock-in.

Mijo Jurisic

How it runs

Analysis, pilot, rollout: in that order.

Step 1
Analysis: what your team actually does today
I walk through your marketing and ops routine with you: which tasks repeat, where the data sits, which licences you already pay for. The output is a list of use cases sorted by effort and expected benefit. In my experience the spectacular ideas rarely sit on top, recurring text and data work does.
Step 2
Pilot: one use case, real data
The top use case gets built and tested on real data from your business, not on demo examples. The success criterion is fixed upfront, for example handling time per case, error rate or turnaround. If the pilot misses it, it gets rebuilt or dropped instead of rolled out anyway.
Step 3
Rollout: into your team, not into a dependency
Prompts, workflows and access live in your own accounts, not in mine. On top of that you get a handover doc and a session with the people who work with it every day. The goal is reached when you can carry on without me.
After that
Sharpening instead of a permanent retainer
Models, prices and limits change on a monthly rhythm, so a review belongs to it: does the workflow still run, is there a better or cheaper model by now, does the EU AI Act classification still fit. If you want that continuously, book the Monthly Advisor, everyone else gets in touch when something comes up.

Illustrative AI scenarios

What typically comes out.

Illustrative AI consulting scenarios from practice: use case, tool stack, outcome. The real measured numbers on my own AI usage are public on the AI in Numbers page.

Illustrative scenarios

E-Commerce · fashion DTC
Illustrative scenario
Use case
Ad-creative pipeline
Before AI setup
- External photoshoots monthly
- Manual ad variation
- Seasonal updates slow
After sprint
Creative production cost
€2,400/mo external€600/mo internal
B2B services · SaaS sales
Illustrative scenario
Use case
Custom GPT · sales notes
Before AI setup
- Manual summaries
- Inconsistent CRM entries
- Follow-up delays
After sprint
Time for call notes
45 min/call8 min/call
Agency · whitelabel
Illustrative scenario
Use case
Audit + internal tools
Before AI setup
- Recurring manual tasks
- Report creation 3h/week
- Briefing templates inconsistent
After sprint
Workflow automation
0 automated12 workflows live
Coaching · content producer
Illustrative scenario
Use case
Content repurposing
Before AI setup
- Webinars unused
- Manual repurposing
- Distribution stalled
After sprint
Posts from long-form
3 posts/webinar18 posts/webinar
Healthcare · telemedicine platform
Illustrative scenario
Use case
Compliance audit
Before AI setup
- Patient AI use-cases unclassified
- EU AI Act roles undefined
- Risk categories unassigned
After sprint
EU AI Act readiness
Unclear, 0%Mapping done
Tax advisory · SME
Illustrative scenario
Use case
Document classification
Before AI setup
- Manual document sorting
- Inconsistent client tags
- Duplicate work on updates
After sprint
Client doc processing
manual, 2h/clientsemi-auto 20 min

Industry	Use case	Before AI setup	After sprint
E-Commerce · fashion DTC	Ad-creative pipeline	External photoshoots monthly Manual ad variation Seasonal updates slow	Creative production cost €2,400/mo external€600/mo internal
B2B services · SaaS sales	Custom GPT · sales notes	Manual summaries Inconsistent CRM entries Follow-up delays	Time for call notes 45 min/call8 min/call
Agency · whitelabel	Audit + internal tools	Recurring manual tasks Report creation 3h/week Briefing templates inconsistent	Workflow automation 0 automated12 workflows live
Coaching · content producer	Content repurposing	Webinars unused Manual repurposing Distribution stalled	Posts from long-form 3 posts/webinar18 posts/webinar
Healthcare · telemedicine platform	Compliance audit	Patient AI use-cases unclassified EU AI Act roles undefined Risk categories unassigned	EU AI Act readiness Unclear, 0%Mapping done
Tax advisory · SME	Document classification	Manual document sorting Inconsistent client tags Duplicate work on updates	Client doc processing manual, 2h/clientsemi-auto 20 min

Three principles

ROI-first, no AI theatre.

ROI before tool choice

I start with the concrete use case, not with "which AI platform should we buy". If the benefit isn't clear, no tool comes in. In my experience AI projects rarely fail on the technology, they fail because a tool gets bought first and a problem for it is searched afterwards.

Build vs. buy

Some use cases need their own agent or an API integration, others are solved better by an off-the-shelf subscription. I test new models through a gateway like OpenRouter before recommending them, automations run through Make, and whatever should stay local runs locally on ComfyUI. You hear honestly what pays off at your volume and where vendor lock-in lurks.

EU AI Act built in

In force since August 2024, strict from 2026. I build use cases classified from the start (low-risk / limited-risk / high-risk), no rework when audits come.

Pricing

Three formats: audit, sprint, advisor.

Fixed-price audit, flat-fee sprint or a monthly advisor. The first call is always free.

AI audit

€700

One-off, usually 5 working days. Recommended for finding out where AI pays off and where not

Marketing stack audit
Use-case prioritisation (ROI)
Build-vs-buy tool recommendation
30-min walkthrough

Book a call about this package

Implementation sprint

from €3,500

4 weeks, fixed scope. Recommended for concrete delivery (custom GPT, workflow setup)

4× 90-min working sessions
Tool setup + configuration
Handover doc for your team
30-day Slack support afterwards

Book a call about this package

Monthly Advisor (AI)

€800 /mo

3 mo minimum. For teams continuously rolling AI initiatives

Strategy call, usually monthly
Slack support for tool questions
Vendor reviews + recommendations
EU AI Act updates

Book a call about this package

What's not included

Tool licences (OpenAI API, Claude API, Midjourney etc.) are not in the price. You pay vendors directly. I help with selection + setup. Custom software development beyond sprint scope is a separate web-dev mandate.

First call

Free, 20 min: an honest answer on whether AI solves your problem.

Monthly Advisor

3-month start phase (minimum term), then cancellable monthly.

EU AI Act

Compliance check built in by default on every mandate.

Client feedback

What clients write on Google

5.0 · 16 Google reviews

Google review

“… our company increased the ROI of our Google Ads by an impressive 300% thanks to Mijo's optimization suggestions. Particularly valuable was his analysis, which revealed that 40% of our budget was simply wasted …”

Google review

“I hired MJ Marketing to optimize our Google Ads campaigns, and Mijo did a great job! Within a few weeks we received more qualified enquiries than ever before. Our cost per click went down while the conversion rate went up. Absolutely recommended!”

Google review

“As a small business, we were advised and supported by Mijo as part of his Google Ads management. He introduced us to the world of Google Ads step by step and explained everything in detail. … Since then, our campaigns have been running more efficiently and achieving better results.”

See all reviews on Google

What you don't get

Anti-bullshit guarantee.

What's currently standard in the AI consulting market, and I explicitly don't:

No "AI replaces your team" hype

AI makes teams more efficient, not redundant. Anyone selling you "AI transformation" that saves 30% headcount either lied or has unrealistic assumptions. I talk about concrete workflows, not headcount reduction.

No ChatGPT-wrapper premium

Some agencies sell €10k solutions that at their core are a ChatGPT API call. I honestly say when custom code pays off and when €20/mo SaaS suffices.

No vendor-commission bias

I get no commissions from OpenAI, Anthropic, Microsoft, or other AI vendors. Recommendations are independent. You pay me for advice, not affiliate links.

No 6-month strategy decks

Strategy is 5 bullet points + decisions. Whoever needs 6 months for AI strategy without concrete delivery is selling theatre. An audit usually takes 5 days, implementation 4 weeks.

FAQ

Common AI consulting questions.

No, not a certified AI researcher. But: I've been using AI actively since 2022, from the GPT-3 API through the first Midjourney releases to today's multi-model practice (Claude, ChatGPT, Gemini, Qwen, Kimi, Nemotron, plus pre-release testing for Horizon/Sonoma). Coding agents: Claude Code, Cursor, Antigravity, Kilo, Roo. Performance-marketing AI since 2021 (Smart Bidding, Performance Max are AI systems). For SME marketing use cases, that's more than enough vs. a research PhD.

For text and analysis Claude, ChatGPT, Gemini and open models like Qwen, Kimi or DeepSeek, depending on the task. For code Claude Code, Codex, Kilo Code, Cursor and Antigravity. For image and video Midjourney, GPT Image, Nano Banana and locally ComfyUI. Plus Make for automation, Perplexity for research and OpenRouter as the gateway to test new models quickly. The full list is on the AI in Numbers page.

Use-case check

20 minutes. I check your use case.

You explain business model + current marketing stack + AI ideas. I honestly say what's worth it, what's hype, which tier fits. If AI isn't your main problem right now, I'll tell you that too.

Book use-case check Request via WhatsApp Request via email

5.0 · 16 reviews on Google

Free. No sales pressure. No vendor bias.

Hands-On Tool Stack

What I actually run daily, incl. Alpha & Beta.

Active AI practice since 2022: from GPT-3 through the first Midjourney releases to today's multi-model reality. How much of it actually runs through the accounts is on the AI in Numbers page, with snapshot date, source and a breakdown per model. Stealth-tested pre-release models like Horizon or Sonoma show up there too, attributed to their confirmed maker. Recommendations per use case, not per favourite vendor.

Models & providers

Claude (Opus, Sonnet)

ChatGPT (GPT-5.5, GPT-4.1)

Gemini

Gemma

Qwen3 (235B, Coder 480B)

Kimi K2

DeepSeek

Grok

MiniMax

NVIDIA Nemotron

GLM (Z.ai)

Alpha & Beta · Pre-Release

Horizon AlphaHorizon BetaSonoma Dusk AlphaSonoma Sky AlphaPony AlphaCypher Alpha+ rotating pre-release models via OpenRouter

Code Agents & IDEs

Claude CodeCodexGemini CLI

Antigravity

Cursor

Kilo Code

Roo Code

ClineKiro

AI Studio

Image & video

Midjourney

GPT Image

Nano BananaSora

Design, automation & research

Figma (+ Figma Make)

Make

MCP

Perplexity

Manus

Lovable

Gateway & local hardware

OpenRouter

ComfyUI (local)

No commissions, no vendor partnerships. If a €20/mo SaaS suffices, I say so, even if it means fewer consulting hours for me. If a pre-release model solves your use case better than the official release, I say that too.

AI in Numbers

AI isn't a buzzword here: here's the proof.

See all the numbers

1.1B

tokens processed

2,582

images generated

AI models

AI Consulting that lands in daily work: analysis, pilot, rollout.

Mijo Jurisic, Google Ads consultant, founder of MJ Marketing.

Analysis, pilot, rollout: in that order.

Analysis: what your team actually does today

Pilot: one use case, real data

Rollout: into your team, not into a dependency

Sharpening instead of a permanent retainer

What typically comes out.

E-Commerce · fashion DTC

B2B services · SaaS sales

Agency · whitelabel

Coaching · content producer

Healthcare · telemedicine platform

Tax advisory · SME

ROI-first, no AI theatre.

ROI before tool choice

Build vs. buy

EU AI Act built in

Three formats: audit, sprint, advisor.

What's not included

What clients write on Google

Anti-bullshit guarantee.

Common AI consulting questions.

20 minutes. I check your use case.

What I actually run daily, incl. Alpha & Beta.

Models & providers

Alpha & Beta · Pre-Release

Code Agents & IDEs

Image & video

Design, automation & research

Gateway & local hardware

AI isn't a buzzword here: here's the proof.