Inventory of relevant business processes
A structured overview of processes with high manual effort and realistic potential for AI-supported automation.
AI Consulting & Delivery
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
Selected companies working with rwQUANTICAL
AI potential assessment
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
A structured overview of processes with high manual effort and realistic potential for AI-supported automation.
The identified applications, assessed by business value, technical feasibility, data, interfaces and risk.
An assessment of your data, systems and IT landscape, including the prerequisites for a pilot and production operation.
Services
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.
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.
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.
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
Our in-depth articles explain how to select, structure and deliver a practical AI initiative.
A guide for companies comparing consulting providers and deciding where to begin.
What matters when choosing the architecture, data approach and delivery partner for a custom AI solution.
Project results
Three examples from projects that combined process analysis, business expertise and technical delivery.
−83%
review effort
Requirement documents were automatically checked against internal specifications. The review team was reduced from six people to one.
4 mo.
payback period
A RAG system makes technical documents directly accessible in day-to-day work. The calculated benefit was equivalent to 4.0 FTE.
1.5 FTE
annual capacity released
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
We deliberately keep the early phases compact and only invest in development once value, data and technical feasibility are clear.
We define the business function, objectives and key stakeholders. This makes clear which decisions the workshop needs to prepare.
Using a structured reference list, we assess value, feasibility, data, interfaces and risk together with business and IT.
For the prioritized use cases, we define business cases, target architecture, ownership and an actionable plan. We can pilot the strongest case directly.
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
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
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
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.




From roadmap to production
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
In a no-obligation initial conversation, we define the business function, objective and a sensible workshop scope together.
Prefer to follow the topic first? Our AI newsletter is published once a month.