Full-stack AI leadership: from strategy to a running platform.

Built, rolled out, adopted by the team. I find where AI creates measurable business value – then deliver the complete system: data model, pipelines, agents, application. GDPR-compliant. In daily use, not in slide decks.

> Ask my CV: There's an AI agent on this page – it is itself a work sample. Ask it anything about me.

Dennis Raisich

Chapter 1

The Bridge

Most AI profiles do either tech or business. My path forced me to do both.

01

Industrial Engineering (RWTH Aachen)

Industrial engineering – a quantitative foundation and the habit of thinking in whole systems.

02

Business leadership

At Consulteer I built a business unit from scratch, then scaled two business areas with P&L responsibility and 40+ people – recruiting, leadership, and sales included. Before that: C-level B2B IT sales at GULP (Randstad).

03

AI builder

Since 2023 I build AI systems myself: as founder of MySCALES for SMEs, as VP Growth in regulated fintech, and with a production AI platform for M&A due diligence.

I speak boardroom and developer – and translate AI hype into systems that pay off.

Chapter 2

Systems I built – the proof

Everything in production. None of this is a pilot.

Voice AI call agentsOnboarding, qualification & cold calls on the phone
Content & creative engineCampaign in – UGC videos, images, carousels out
Process automationCore processes automated end-to-end – almost every department
Support agentResolves up to 90% of requests on its own – around the clock
Contract review assistantReviews contracts against playbooks and flags risks
AI workshops & enablementTeams coached until AI became daily practice
Agentic AI & MCP serversAgents with direct access to internal systems
Claude Cowork rollout60 employees, all departments – governance, training, adoption
Document AI & RAGClassification, extraction, vector search – in production
KYB automationRegistries, sanctions, UBO – documented and auditable
Self-learning email campaignsSubject, timing, and content optimize with every send
Self-service websitesWebsites the team updates itself via an AI agent

Chapter 3

Leadership & how I work

01

Business first

AI projects start where they measurably pay off – not with the model. I work cross-department with the whole business in mind.

02

Ship it, not slides

Concepts are the beginning, not the result. I deliver running systems – including database, deployment, and operations.

03

Compliance as architecture

GDPR, EU data flows, and auditability are built in, not bolted on. In the Swiss market that's the difference between a pilot and production.

"Delegate the thinking, never the understanding."

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Contact

Let's talk

The fastest way to find out if it's a fit: a short conversation.

Neuhausen am Rheinfall, Schaffhausen (Switzerland)

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