The possibilities of AI are growing faster than the structures that make them manageable.
With the d+Ai approach, you create effective AI management: systematic, traceable, and auditable. For medium-sized companies that want to not only use AI but also steer and control it across the entire organisation.
What many AI initiatives have in common
The first tools are in use. The first pilots are underway. But many questions remain unanswered: Who is responsible? What needs to be documented? Which legal regulations apply? What are the real costs?
The curiosity and courage are there. What is missing are the management and control structures.
Too many ideas at once
Without prioritisation, the result is actionism instead of impact
Rising costs
Licences, cloud storage, consulting – without overview and control
Unclear responsibilities
Who decides, who controls, who says ‚stop‘?
Incomplete evidence
Lack of evidence for supervisory bodies, investors and auditors
B. d+Ai connects what others separate
Most offers consider tools and productivity or Rules and Compliance.
2. many providers sell not only their solution, but also the search for the right problem.
3. and not every provider has an interest in leading its customers quickly to independence.
The d+Ai approach
Companies are enabled to take systematic control of AI management themselves.
From the initial orientation and selection of the right use cases to topics such as control, verification and auditability. Everything remains under the full control of the company right from the start.
Orientation instead of actionism
Not every idea is a sensible project. d+Ai helps to set priorities that suit the organisation and its people.
Responsibility instead of a grey area
Governance is far more than a policy that dictates what AI may and may not do. Governance determines whether the use of AI in a company remains controllable or not – or whether it grows uncontrollably.
Evidence instead of gut feeling
It is the declared aim of d+Ai to support companies in making the use of AI resilient to the requirements of internal auditing, supervisory bodies, capital providers, potential investors and external auditors.
C. AI Governance is an indispensable pillar of AI Management.
In practice, there is a lot of talk about AI governance. But without overarching AI management, governance remains an abstract construct. And without governance, AI management is a game of chance.
AI management
This is the leadership and control task across all application areas of AI: it ensures that a common understanding is created among all employees, use cases are selected, prioritised, implemented, monitored and further developed in a meaningful way.
AI governance
With robust AI governance, you ensure that responsibilities, rules, controls, and evidence are designed in such a way that the use of AI remains trustworthy, controllable, and auditable.
D. Three phases. Seven modules. A consistent approach.
Phase 1
Orientation & Selection- Shared understanding, realistic and measurable goals, meaningful use cases
Phase 2
Implementation & Control- Structured implementation, clear, demonstrable and verifiable governance
Phase 3
Evidence & Further Development- Checks, documentation, continuous monitoring, potential for improvement
E. For whom AI is particularly relevant
Company management
Prioritise AI initiatives, keep the cost-benefit ratio in view, embed responsibilities.
Finance & Controlling
AI deployment without losing controllability and connectivity in releases, reporting, and audit logic.
Compliance & Internal Audit
Make requirements for risks, controls, and auditability visible early on, before permanent governance gaps emerge.
Investors & auditors
Assess the trustworthiness of AI use cases and the capability for effective AI management, and robustly evaluate risks.
F. You would like an independent assessment of the status of your AI governance?
No large project is necessary for this. Key AI use cases, as well as entire governance concepts, can be classified just as quickly with a d+Ai governance initial assessment, analysis, or audit-related evaluation. Governance gaps and the resulting risks are made visible, and possible countermeasures are derived.
Quick Check
Initial assessment with status picture and prioritised proposals for immediate measures
Analysis
In-depth evaluation of roles, approvals, change management and verifiability
Audit-related assessment
Reliable results based on comprehensible and reliable documents and concrete evidence
G. Let's happily discuss your topics and questions.
In a short initial meeting - maximum 30 minutes, no pitch - we can quickly determine whether one or more of the d+Ai modules or an AI governance assessment is the right next step for you.
To arrange an appointment, you are very welcome to send me a message to kontakt@wp-korten.de send. Or you can use the contact form. In either case, please indicate 2-3 suggested dates. I will be happy to confirm one of them.
Achim Korten | Auditor
Certifications: EU AI Act · ISO/IEC 27001:2022 + 42001:2023
Publisher of the LinkedIn newsletter „AI Governance Compass“