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AI Consulting & Delivery

AI consulting for companies: from strategy to a production-ready solution

We identify viable AI use cases, build the roadmap and implement the prioritized solutions in your systems.

No obligation · directly with an AI consultant · in Düsseldorf or remotely

rwQUANTICAL conference room in Düsseldorf Media Harbour
rwQUANTICAL, Kaistraße 2 in Düsseldorf Media Harbour

Selected companies working with rwQUANTICAL

Volkswagen
ARAG
Linde
STRABAG
Schaeffler
TOSHIBA
Air Liquide
Olympus
Vorwerk
MEWA
Geno Broker
Mitsui Chemicals
AirPlus
Walbusch
AVIA
REICO
Otto Krahn

AI potential assessment

The most useful starting point is a process and potential workshop.

We begin with a joint workshop involving business and IT. Together, we assess business processes to find where high manual effort, suitable data and a realistic automation opportunity come together.

We use a reference list of common processes for each business function. This means we do not start from a blank page, but systematically test which processes are suited to AI and automation.

What you receive

01

Inventory of relevant business processes

A structured overview of processes with high manual effort and realistic potential for AI-supported automation.

02

Prioritized AI use-case list

The identified applications, assessed by business value, technical feasibility, data, interfaces and risk.

03

AI readiness assessment

An assessment of your data, systems and IT landscape, including the prerequisites for a pilot and production operation.

Services

Where we can join your AI initiative.

You can start with a single potential assessment or work with us through to a production-ready solution. The scope follows your situation, not a standard package.

01

Potential assessment & use-case prioritization

We analyze business processes, data and systems and assess which AI applications are commercially and technically viable.

Outcome: Prioritized use cases, an AI readiness assessment and concrete next steps.

02

AI strategy & roadmap

We translate the prioritized applications into an actionable plan with ownership, governance, architecture and business cases.

Outcome: A decision-ready roadmap instead of a general AI vision.

03

Pilot & production implementation

We develop the selected use case with real data, integrate it into your systems and support testing, rollout and scaling.

Outcome: A robust solution in production, including handover and enablement of your team.

Further reading

Guides for your next AI decision.

Our in-depth articles explain how to select, structure and deliver a practical AI initiative.

AI consulting: services, process and selection criteria

A guide for companies comparing consulting providers and deciding where to begin.

Custom AI development: from use case to production

What matters when choosing the architecture, data approach and delivery partner for a custom AI solution.

Project results

Results from three AI projects.

Three examples from projects that combined process analysis, business expertise and technical delivery.

Plant engineering 4 months

−83%

review effort

AI-supported matching of technical requirements

Requirement documents were automatically checked against internal specifications. The review team was reduced from six people to one.

Enterprise knowledge 3 months

4 mo.

payback period

CompanyGPT with internal knowledge

A RAG system makes technical documents directly accessible in day-to-day work. The calculated benefit was equivalent to 4.0 FTE.

Payment services 3 months

1.5 FTE

annual capacity released

Automated customer onboarding

An n8n workflow accelerated around 700 onboarding cases and relieved the operations team. The payback period was seven months.

Metrics from completed rwQUANTICAL projects; project details have been shortened for confidentiality.

Our Approach

From assessment to production operation.

We deliberately keep the early phases compact and only invest in development once value, data and technical feasibility are clear.

rwQUANTICAL team in a working session at the Düsseldorf office
Business, IT and the delivery team work together from the start.
  1. 01

    Define scope and target state

    We define the business function, objectives and key stakeholders. This makes clear which decisions the workshop needs to prepare.

  2. 02

    Assess and prioritize processes

    Using a structured reference list, we assess value, feasibility, data, interfaces and risk together with business and IT.

  3. 03

    Build the roadmap or pilot

    For the prioritized use cases, we define business cases, target architecture, ownership and an actionable plan. We can pilot the strongest case directly.

  4. 04

    Handover to implementation

    For the prioritised case our AI engineering takes over: prototype, MVP, integration into your system landscape and operation. The consultants who know your processes from the assessment stay on the project.

AI literacy across the company

AI projects need teams that can work safely with new tools.

Our inhouse AI training reflects your processes, tools and internal policies. We train business functions, address literacy needs under Article 4 and work with development teams on AI-assisted coding workflows.

AI Enablement · Token Awareness · AI-based Coding

Who we work with

Business function first, industry second.

Our clients include mid-sized companies and large enterprises across different industries. In AI projects, the specific business process is often more important than the sector.

Administrative workflows in finance, procurement, sales, customer service and knowledge management often offer the strongest potential. We therefore analyze the process first and then apply relevant experience from comparable projects.

Your project team

Consulting and engineering work together.

You work with an experienced AI consultant and, as soon as technical decisions arise, directly with our AI engineers. Requirements are not lost between concept and implementation.

Lucas Rachner, PartnerDr. Jonas Jasse, AI EngineerDr. Tobias Hustedt, AI EngineerDr. Yannic Ackermann, AI EngineerKonrad Brixius, AI Engineer

From roadmap to production

We also deliver the prioritized use cases technically.

Our AI engineers develop, integrate and operate AI solutions in your systems. They work with the consultants who already understand the processes and requirements from the assessment.

FAQ

Questions about AI consulting

What do I receive after the AI potential assessment?

You receive three concrete outputs: a structured inventory of processes with high effort and realistic automation potential, a prioritized AI use-case list, and an assessment of your data, systems and IT landscape with regard to AI readiness.

How long does a potential assessment take?

It cannot be estimated responsibly without knowing the scope. For one business unit, a one-day workshop often provides a solid result and useful quick wins. Involving several functions or sites requires additional interviews and evaluation sessions.

What does a sensible entry into AI consulting cost?

The most useful entry is usually a joint workshop for one clearly defined business function. In the initial conversation, we determine participants, process scope and the required depth. You then receive a transparent proposal and only pay for the work needed to reach a reliable prioritization.

How are AI use cases assessed?

Together, we assess business value, technical feasibility, data availability, system interfaces, repetition, error exposure and risk. The result is not a wish list but a defensible order for the roadmap and pilot.

Which companies and industries is the consulting suitable for?

We work with mid-sized companies and large enterprises across different industries. For selecting viable AI use cases, the business function is usually more important than the sector. We frequently find strong opportunities in finance, procurement, sales, customer service and knowledge management.

Who will I work with?

Your core team includes an experienced AI consultant with process and strategy expertise. As soon as architecture, data or integration matter, our AI engineers work directly with you. The people involved in analysis and design remain involved during delivery.

Does rwQUANTICAL implement the prioritized use cases?

Yes. We develop pilots with real data, integrate successful solutions into your systems and support testing, rollout and operations. Depending on the project, we build the delivery team or complement your existing team with our AI engineers.

How does rwQUANTICAL address the EU AI Act?

We consider risk classification, documentation duties, transparency requirements and data protection during assessment and architecture. For employee competence records, we offer AI literacy training under Article 4 of the EU AI Act.

Does rwQUANTICAL also offer AI training?

Yes. We offer in-house AI training for business teams and AI coding training for development teams. Content and exercises are tailored to the participants' day-to-day work.

Which process offers your strongest AI opportunity?

In a no-obligation initial conversation, we define the business function, objective and a sensible workshop scope together.

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