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Partner Support

Technical support for EAM, integration and AI partners

I support EAM, ERP, integration, data and automation partners when a project needs hands-on depth around HxGN EAM, SQL, APIs, data flows, AI/ML pilots or operational workflow automation.

Your work package

What we agree before starting

Defined scope

One specialist work package or review role inside the partner's project, with visibility, responsibilities and expected outputs agreed in advance.

How the result is accepted

The partner's named reviewer checks the agreed findings, code or configuration, test evidence and handover against the work-package criteria.

Production and ongoing support

The partner retains customer and overall project ownership. Production authority, support coverage, availability and any further work are agreed explicitly.

Agreed deliverables

  • Review assignment: evidence-linked findings, priorities and decisions needed
  • Implementation assignment: code or configuration records and agreed test results
  • Pilot assignment: working pilot, evaluation results and continuation or stop recommendation
  • For every assignment: handover notes, remaining risks and a named owner

What you provide

  • Partner role and visibility preference
  • Project context and specialist area to strengthen
  • Communication and delivery boundaries
  • Expected output, cadence and handover needs

ERP & interface engineering

Infor COM, finance handovers and EDI

Practical support for Infor COM ERP, IGF/Varial and EDI, from screens and repository logic to SQL, reports and administration with IMC. A defined ERP or interface issue can be commissioned independently of EAM.

Delivery fit

How I fit into your project

The role can be EAM-specific, system-independent interface engineering or focused AI/ML delivery. The common thread is hands-on work, representative examples, clear ownership and a usable handover.

The goal is to strengthen partner delivery, not take it over. The partner keeps the customer relationship, project structure and commercial ownership. My role is to strengthen a defined technical area in EAM, interfaces, data readiness, applied AI/ML or workflow automation.

How collaboration can work

Three ways to work together

Visible specialist

Support client conversations and technical decisions where EAM, interface, data or AI/ML depth is needed.

Subcontractor

Deliver a defined work package inside the partner's structure, delivery cadence and communication model.

Background delivery resource

Review logic, inspect flows and data, support pilots or sprints, test representative cases and document findings behind the scenes.

Collaboration examples

Typical partner work packages

The work is scoped so partners keep account ownership, project structure and broader delivery control while specialist operational issues are handled in depth.

Specialist support inside a larger EAM, ERP, integration or data programme
Background technical delivery for reports, SQL, FlexSQL or JavaScript logic
Interface mapping, validation, retry and monitoring across business systems
AI/ML use-case assessment inside a wider transformation or data programme
Focused AI pilot delivery with test data, evaluation and guardrails
Document intelligence, retrieval or workflow automation around existing platforms
Sprint-based specialist support when a project needs focused capacity quickly
Technical review before an interface or AI prototype becomes a delivery risk

Safe to work with

You keep the client relationship

Clear delivery boundary

Scope, visibility, client communication and handover are agreed before work starts.

Clear, usable handover

Findings, logic, decisions and next actions are documented so the partner can own the result.

Company structure for broader delivery

Where a broader delivery or implementation structure is required, work can be contracted through Tiravera SL. Lukas Paul Streiff remains the specialist brand.

Add specialist capacity to your project

Send the project context, whether the need sits in EAM, interfaces, data or applied AI/ML, and the preferred collaboration model. We can decide quickly whether I fit visibly, in the background or for a defined sprint.