Denis Knaack
Deutsch

Expertise

Assess AI and software initiatives realistically and deliver them into production

I support companies where an idea needs to become a sound technical and commercial decision. This includes the business case, requirements, architecture, model selection, software engineering, integration, and operations.

Assessment and implementation

How I support companies and teams

Good AI systems begin with a realistic assessment of the problem. Model selection, architecture, and implementation follow from there.

  1. 01

    Assess AI initiatives realistically

    Not every interesting use case is economically or technically viable. I help assess value, data, risks, costs, and the conditions required for dependable operation.

  2. 02

    Architecture and technical decisions

    Model selection, hosting, data protection, and integration cannot be considered independently. I design architectures that fit the use case and the existing system landscape.

  3. 03

    Build production-grade software

    I turn ideas, requirements, and business cases into maintainable software systems, including backends, interfaces, AI components, user interfaces, tests, deployment, and operations.

  4. 04

    Improve existing systems

    Many AI systems are unnecessarily slow, expensive, or difficult to reproduce. A clearer separation between deterministic processes and tasks that genuinely need a model often helps.