WECAVIS LLC · HR systems & field operations · DACH

A consulting boutique with its own AI toolkit.

We do not sell software. We sell consulting. The difference is our own productive AI tools, with which we work through a body of data in one week that takes others three.

See the toolkitBook an intro call
25+ yearsSAP HCM architecture
5 instrumentsin productive use
10 languagesprocessed directly
EU AI Actaudit capability built in

Tools, not slides. Consulting, not buzzwords.

Consultancies with their own AI tools are rare in the market. And where they exist, the tools tend to serve marketing rather than the work on an engagement. Ours run in real projects, not in PowerPoints. Whoever hires us is not buying a tool. They are buying consulting that works with it and reaches reliable results faster.

  • ↗Depth in a rare niche. More than 25 years of architecture experience in SAP HCM, SuccessFactors, ECC and S/4HANA.
  • ↗Multilingualism that is built in. The engine processes ten languages directly, including where German-only documentation software fails on the workforce.
  • ↗Audit capability from the start. Every recommendation is source-based and traceable. No compliance layer bolted on afterwards.
  • ↗Augmentation, not replacement. The tools take work off experienced practitioners. The practitioners still make the decisions.
The toolkit · Components in stock

The instruments we keep on hand.

We do not arrive with a standard configuration your organization has to fit into. We arrive with a toolkit from which we build the constellation that suits your engagement. Some engagements need every instrument, others just one. Some need an additional one that we extend for the engagement at hand.

No. 01
Productive

Reasonater

Reasoning engine for unstructured data

Every engagement begins with scattered knowledge: documents in SharePoint, voice notes in WhatsApp, processes in Word, configurations in SAP, email threads, workshop minutes. Reasonater turns that into a structured knowledge base in one week. It forms semantic clusters and shows where sources contradict each other or something is missing.

The effect is the same as it once was with numbers. Every drawer used to hold its own Excel sheet. Business intelligence was what turned those into a company-wide data base. Reasonater takes that step for unstructured knowledge.

Semantic clustersGap detection247 → 17 findings consolidated
No. 02
Productive

WSB QualityGraph

Audit and quality assurance for AI output

Every AI hallucinates occasionally. In marketing that is a cosmetic nuisance, in consulting a liability risk. QualityGraph checks every statement against its source and flags what is unsupported or contradictory. The result is a complete audit trail. It makes every recommendation provable and holds us to intellectual discipline.

Source evidence chainEU AI Act conformant12 hallucinations caught
No. 03
Productive

WSB Conversational Operations

Data capture where the work actually happens

Many consultancies can analyze. Where they fail is access to the data. Through WhatsApp, the medium every field worker already uses, reports, photos and voice notes are captured directly. The engine structures them automatically, classifies them by report type and makes them available as a reliable data base. That is how we see how the processes actually run, in ten languages. More on this below.

WhatsApp nativePhoto · voice · textAutomatic report-type classification10 languages directly
No. 04
Platform

WSB Advisor

Structured SAP HCM → SuccessFactors EC migrations

From assessment to client-ready proposal, structured and provable throughout. Customizing exports, OM structures and workshop audio flow into a shared knowledge base. Eight artifact types come out of it at the push of a button: proposal with effort range, migration plan, roadmap, test material and more. Every statement stays bound to its source.

8 artifact types7-layer effort modelLive reasoning graph
No. 05
Productive

WSB GEO Engine

Visibility in AI answers (Generative Engine Optimization)

An AI engine can only cite what exists as a publicly reachable, crawlable page. The GEO Engine turns company knowledge into citable knowledge pages. It then measures whether those pages appear in the answers of ChatGPT, Perplexity, Claude and Google AI Overviews. Both in the same portal.

Content generatorVisibility trackerWhite label
Technician · WhatsAppRoof on hall 3 done. Two tiles broken on the north side, I took photos.
2 photos · voice note 0:18
WSB · automaticUnderstood, defect documentation for hall 3. Which language would you like to continue in?
Technician · PolskiPo polsku proszę. Termin naprawy: jutro rano.
Engine structures & classifies
Defect reportREPORT_DEFECT
ObjectHall 3 · north side
Finding2 tiles broken
Reworktomorrow morning
Media2 photos · 1 audio
Clean evidence · time-stamped
Conversational Operations

The real information is not in the ERP export.

When we want to understand how a service technician works on site, an Excel extract only helps so far. The reality lies in what they experience and document, or fail to document. Conversational Operations collects this information where it arises.

  • Real processes, not described ones. We see how it actually runs, not how it gets smoothed over in the workshop.
  • A multilingual reality. A substantial part of the workforce does not speak German at home. The engine processes ten languages directly.
  • Able to implement. When we spot a documentation problem, we do not hand you off to a software vendor. We build the solution ourselves.
DeutschEnglishTürkçePolskiRomânăРусскийEspañolالعربيةSrpskiУкраїнська
30% → 90%

Documentation rate in a trades business with a largely non-German-speaking field team, after three months. Warranty cases could be handled with clean evidence for the first time. This was not a software project. It was a consulting engagement with a built-in tool.

Methods in stock

The disciplines that carry the instruments.

Tools without method are just software. What defines our boutique is the way we work with them.

M / 01

Hypothesis-driven reasoning

A library of reusable hypothesis templates per migration path. Each hypothesis gets a supported answer with a confidence rating, instead of designing new questionnaires every time.

M / 02

Target-actual gap with evidence chains

For each module a consolidated picture from target, actual customizing, constraints and workshop clarifications. Every requirement gets a status with a concrete source reference. Workshop statements take priority.

M / 03

Audit trail by design

Every AI call is logged append-only, with full-text prompt, response hash, model and risk class. Reproducibility is guaranteed, with a retrievable record for every statement. EU AI Act conformant.

M / 04

Separation of audit trace and client view

Internally a full source trace including original language and domain vocabulary. In the client output only neutrally reformulated, industry-standard formatted content. Sensitive material is filtered out automatically.

M / 05

Multilingual source processing

English SAP Help extracts, Czech workshop notes, Spanish collective-agreement documents, processed at the same time within one engagement and brought into a consistent synthesis.

M / 06

Augmentation, not replacement

The tools prepare a body of data so the experienced practitioner sees faster what they would see anyway, only slower. They decide nothing. This division of labour is deliberate.

1 weekfrom scattered sources to a structured knowledge base
10languages processed directly by the engine
8client-ready artifact types at the push of a button
append-onlyaudit trail per AI call, EU AI Act conformant
Our stance
“The tools are the means, not the end. We sell consulting that reaches, through them, a quality consulting cannot reach without them.”
Thomas Muschalik, Founder & Senior Consultant, WECAVIS
Engagement formats

How a collaboration begins.

Three formats that follow from our two fields of application. Every engagement starts with a no-obligation intro call in which we check together whether WECAVIS fits the task.

Format 01

Readiness engagement

6 weeks

One prioritized use case with a runnable pilot concept. Ideal for a first engagement in which you want to get to know our method.

Format 02

Concept engagement

8–16 weeks

Full analysis, target concept and architecture proposal for a clearly defined undertaking: HCM migration, carve-out or the introduction of field operations documentation.

Format 03

Delivery engagement

3–12 months

Support of the implementation, often as interim architecture lead or quality auditor. Volume depends on scope and duration.

HR systems

DAX-adjacent corporations and industrial mid-market with S/4HANA migrations, carve-outs or HCM-to-SuccessFactors transformations.

Buyer typically CIO, Head of HR IT or external project steering.

Field operations documentation

Industrial mid-market, technical service providers, maintenance and repair, machinery and plant engineering with commissioning field teams.

Buyer typically Managing Director, Head of Service or QM.
Intro call

Let us talk about your undertaking.

No obligation. Together we check whether the WECAVIS method and toolkit fit your task and which constellation has the most leverage.

[email protected]LinkedIn · /in/muschalik