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Enterprise AI Architecture

We structure your data and build a traceable intelligence layer on top: Explain, Forecast, Simulate, Recommend — with a source and compute path per statement. Hallucination-free, deterministic, integrated into your systems.

Cluster
Architecture
Duration
from 4 weeks (pilot)
Fee
on request · project-based

Enterprise AI that shows the source behind every number.

In regulated areas a plausible answer is not enough — you need the basis of the calculation. Our AI architecture therefore relies on a structured data foundation and a knowledge graph instead of a black-box model. Every figure from the decision layer carries a source and a compute path.

That is the difference between decision intelligence and a chatbot: deterministic first, the language model only verbalizes. Missing numbers are flagged as missing, not invented. On-prem, model-agnostic, in your control — built so your team operates it itself.

What you concretely get

Concrete results as a hand-off artefact.

Enterprise AI architecture for regulated areas: from data foundation through the knowledge graph to a traceable decision layer with an audit trail — on-prem and in your control.

  • Data foundation: your sources (reports, ERP, registries, documents) connected, checked and ontologically structured.

  • Traceable decision layer: Explain · Forecast · Simulate · Recommend — with a source and compute path per number.

  • Audit trail per data point (EU AI Act Art. 12/13), exportable as PDF/CSV/JSON.

  • Deterministic-first: the language model only verbalizes — numbers are flagged as missing, never invented.

  • Model-agnostic (OpenAI, Gemini, Claude, Mistral, Ollama) — no vendor lock-in.

Approach

How we work.

Three phases, clear outputs. You see every step — and can exit after any one of them.

  1. 01

    Data foundation

    Connect and de-duplicate sources, move them into a knowledge graph with a prescribed ontology.

  2. 02

    Decision layer

    Stand up the decision layer, configure use cases, validate results on real data — weekly demos.

  3. 03

    Productive & traceable

    Auditable artifacts in the process, handover to your team. On-prem, in your control.

Pricing & Models

On request. Project-based. Individualised.

Every engagement is scoped individually based on scope, maturity level, and time horizon. We work project-based with fixed price, day-rate-based with transparent rates (junior to senior), or on a retainer model.

  • Project-based

    Fixed price per phase with a defined definition of done. Preferred for clearly scoped engagements.

  • Day-rate

    Rates tiered by seniority level — Junior, Mid, Senior, Principal. Transparent billing.

  • Retainer

    Fixed monthly hour budget. Useful for operate phases or fractional lead mandates.

Intro call

Enterprise AI Architecture — let's talk about it.

At the end: a clear recommendation — or a reason why a different path fits better.