About

EAM is my core specialism. Interfaces and AI stand on their own

EAM is my deepest specialist domain, but it does not define the limits of my work. Interface engineering and applied AI/ML are separate capabilities, delivered with the same practical focus.

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Expertise

Three areas of expertise

Within EAM, I bring deep last-mile expertise around HxGN EAM / Octave Attune EAM, SQL, FlexSQL, reports and work-order logic. Independently of EAM, I stabilise interfaces and build focused AI/ML and automation solutions around operational workflows, documents and data.

Lukas Paul Streiff in a workshop setting

EAM boutique

Deep product and maintenance-process expertise around HxGN EAM / Octave Attune EAM, work-order logic, SQL, FlexSQL, JavaScript, reports, custom rules and last-mile improvements.

Interface engineering

Reliable data movement and ownership across ERP, CRM, MES, EAM, SaaS, files, APIs and reporting systems. EAM can be involved, but it is not a prerequisite.

Applied AI & machine learning

Computer vision, sensor and time-series ML, knowledge retrieval and document intelligence—built around defined use cases, representative data, measurable evaluation and human guardrails.

See the water-pressure and hoof-vision prototypes

Working approach

How I approach operational systems

My delivery standard comes from environments where teams depend on systems that already exist, data has operational meaning and a technically successful result can still fail in daily use.

The work can start inside EAM, between unrelated business systems or with an AI/ML use case. In every case, I stay close to the real records, documents, decisions, exceptions and owners.

That is why the focus is practical: define the useful outcome, test representative and difficult cases, document limitations and ownership, and make the next delivery decision explicit.

Lukas Paul Streiff at a workstation with code and operational systems

Experience

Technologies and methods

HxGN EAM / Octave Attune EAM

SQL, FlexSQL and reporting

JavaScript, HTML and custom logic

Interfaces, APIs and data flows

Operational data and AI readiness

Microsoft 365 and Google Workspace

Computer vision, sensor and time-series ML

Applied AI/ML pilots and evaluation

Document intelligence and workflow automation

Typical contribution

Where I contribute

HxGN EAM / Octave Attune EAM environments

SQL, FlexSQL, JavaScript and reporting logic

Interface reliability across enterprise, operational and cloud systems

Data quality and AI/ML opportunity assessment

Focused AI/ML pilots with evaluation and guardrails

Work apps and automation around Microsoft 365, Google Workspace and APIs

Existing system landscape

Focused improvements around existing systems

The work is designed for focused, evidence-based improvements: one EAM issue, one unreliable data flow, one AI/ML use case or one manual workflow that deserves a better tool.

Operational work apps around stable core systems

Some teams do not need a new enterprise platform. They need a focused tool for the work that still happens around the core system: requests, checklists, handovers, local reporting, exception handling or data cleanup.

EAM environments with useful but fragile custom logic

Reporting setups where SQL and operational meaning need alignment

Interfaces where ownership, timing, validation and retries are unclear

AI/ML opportunities that need a real test set and acceptance criteria

Teams using Excel, email, documents or collaboration tools for critical work

Delivery structure

Direct specialist work, backed by a clear company structure

Lukas Paul Streiff is the personal specialist brand. Broader delivery or implementation arrangements can be handled through Tiravera SL.

Start with the problem in front of you

A useful first conversation can begin with an EAM bottleneck, an interface record, an AI/ML opportunity, a data sample, a document set or a manual workflow.