For C-Level Decision-Makers in SMEs

AI transformation doesn't fail because of code.
It fails because of expectations.

Most companies are stuck in the "pilot trap." I help you anchor AI strategically — transparently, decisively, and without buzzword bingo.

Book a Strategy Call How I work ↓
The 4 Pillars of AI Transformation – Strategic Framework for C-Level in the DACH Region

Does this sound familiar?

The technology is there. The budget is there. But the impact is missing.

The Never-Ending Pilot Phase

Great demos in IT, but no scaling into the core business.

Black-Box Consulting

Consultants deliver PowerPoint results whose reasoning nobody can trace. Is that strategy or ChatGPT?

Fear of Vendor Lock-In

Decisions are made technically ("Which tool?") before the architecture is in place.

HUNTER-ID: GP-CEO STATUS: ACTIVE
Gerald Pögl – AI Sparring Partner and CEO Hunter-ID MemoryBlock, Vienna

Gerald Pögl

CEO Hunter-ID MemoryBlock BG FlexCo

14 Years Real Estate
2,500+ Hours LLM Ops
Not a Theorist

I don't speak "Tech."
I speak Business.

I don't come from software development. I come from 14 years in the Vienna real estate market. I assess risks not technically, but commercially.

That's exactly why I understand AI differently from your IT department: Not as code, but as a lever for decisions.

With the Hunter-ID*, every decision is traceable.
At any time.

*patent pending.

HUNTER-ID MEMORYBLOCK ● ACTIVE
id: F2C8D5
type: LANDING_PAGE
created: 2026-02-09
context_depth: 7 sections
core_question: How does trust emerge
  in AI consulting without transparency?
session_log:
  - 09.02. Hero, Problem, Authority ✓
  - 09.02. White-Box USP, Method ✓
  - 09.02. Formats, CTA ✓
status: You are reading the proof.
White-Box Methodology

You don't just see the result.
You see the path to get there.

The consulting market has a trust problem: "fake work." With me, AI is not a hidden ghostwriter. It's a visible tool.

Other Consultants

Input (Your Problem) Output (PowerPoint)
??? BLACK BOX ???
  • AI hallucinating? Nobody notices.
  • Strategy or chatbot? Unclear.
  • No learning curve for your team.
Hunter-ID Verified

Hunter-ID Method

Input & Context Building
LLM Orchestration
Scenario Development
Output: Verified & Reconstructable
  • Every step documented.
  • You're paying for my judgment.
  • Full transparency.
  • In the end, you can do it yourself.

My goal is to make myself redundant.

Together, we build your own AI sparring partner — calibrated to your industry, your decisions, your language. And I teach you how to operate it yourself. What remains is not dependency. What remains is competence.

A Real-World Example

From First Conversation to Measurable Clarity

Every client comes with a different question. The method stays the same: Understand first, then structure.

Starting Point

CEO of a real estate company in Vienna. Growing business, but everything runs through him — acquisition, client management, contracts, authorities. At the end of every day, the feeling: worked a lot, accomplished little. Deals lost because there's no time. Administrative tasks piling up.

First Meeting
Open exchange. Problem before solution. Where does your time actually go? What's left undone every week? What does that cost you — not in euros for the task itself, but in missed opportunities?
Assessment
Making pain points visible. Identify time drains, separate urgent from important, find the one thing that blocks everything else. No solution — just clarity on where it really hurts.
Mini-Experiment
14 days, one pain point, structured approach. No tool, no system — just: consciously address an identified bottleneck and document what changes.
Review
Four questions. Measurable result. Did structure help? Faster? Clearer? Less mental load? If yes — we know where the leverage is.
Outcome
Clear picture instead of gut feeling. You know which pain points have the biggest impact. What's worth changing. And what you can safely leave alone.
Implementation Planning
What's worth what — and what does it take? Where does automation make sense? Where do classic queries without AI suffice? Where is a quick ad-hoc tool enough? And the honest question: Do your data need cleaning first, or can you start right away?

Every engagement produces a Hunter-ID — a traceable protocol that documents context, insights, and decisions.

HUNTER-ID SESSION SNAPSHOT ● ACTIVE
id: B4E7A1
type: SPARRING_RETAINER
client: Real Estate CEO, AT
phase: Implementation

pain_points:
  1: "Admin piling up, deals
     getting lost"
  2: "Everything runs through
     one person"
  3: "No system, just gut feeling"

core_bottleneck:
  "Time drains block revenue.
   ~15h/week with no direct return."

experiment:
  focus: Lead qualification
  duration: 14 days
  result: 3/4 confirmed ✓

implementation:
  automate:
    - Reports & data merging
  classic:
    - Master data, authority queries
  ad_hoc_tool:
    - Quick analyses as needed
  prerequisite: Clean up data

status: "Pain points clear. Implementation
  running prioritized."

This is one example. Your starting point will be different — but the path to clarity follows the same principles.

What would this look like in your situation?

Free Discovery Call →
How I Work

Cognitive Co-Pilot, Not a Ticket Processor

AI transformation is not a project you "wrap up" in an afternoon. It's a process of context accumulation.

1. The Dose Makes the Poison

Prompt, context, memory, or agent engineering? All at once creates only noise. I calibrate the technology to serve your pace, not the other way around.

2. Context Is Never Lost

Traceable decision-making with AI — complex contexts are preserved over months. Every session builds on the previous one. Nothing is forgotten.

3. I'll Tell You When You're Solving the Wrong Problem

That's the sentence no consultant likes to say — and every decision-maker needs to hear before making the wrong investment.

Collaboration

Three Formats. One Principle.

Every format follows the white-box methodology: transparent, reconstructable, eye to eye.

CORE FORMAT

Sparring Retainer

Strategic guidance over months. For decision-makers who want to understand AI, not just delegate it.

  • Regular C-level sessions
  • Building your own AI system
  • White-box documentation
  • Empowerment over dependency

Workshop

For specific challenges. One day, one result, full transparency.

Quick Assessment

Status quo analysis and roadmap. Before you invest, you know where you're headed.

We discuss terms personally.

Book a Call
Next Step

Do you truly want to understand AI?

I only take on a limited number of mandates per quarter. Not as a marketing trick, but because my method requires absolute cognitive depth. I can't deeply engage with 50 companies at the same time. But perhaps with yours.

Book a Strategy Call

Direct contact with Gerald Pögl. No sales team.