thinformatics
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Services
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Services
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We develop your AI strategy together with guardrails for responsible, compliant use. You pursue the right use cases and keep risk, ethics and compliance in view from the very start.
We develop your AI strategy together with guardrails, so you pursue the right use cases {{responsibly}} and in line with the rules.
We align AI rigorously with your business goals.
Target picture, roadmap, maturity model, operating model, prioritisation logic
We assess and prioritise use cases by benefit and feasibility.
Use case portfolio, benefit-effort matrix, data availability, feasibility criteria
Roles, policies and approval processes make AI use steerable.
ISO/IEC 42001, policies, role model, approval gates, responsibilities
We place AI initiatives in their regulatory context and manage risk.
EU AI Act, GDPR, NIST AI RMF, risk classification
Transparency, fairness and traceability are firmly anchored.
Responsible AI principles, bias testing, model cards, explainability, human-in-the-loop
Progress, benefit and risk stay measurable and steerable.
KPIs, model monitoring, drift detection, audit trails, review cycles
We establish maturity, data foundation and initiatives under way.
Together we capture maturity, the available data foundation, existing initiatives and the regulatory environment. Against a maturity model we place opportunities and risks in a structured way.
You receive a solid maturity picture that makes strengths and gaps visible. This picture forms the basis for the target picture in the next step.
We align AI rigorously with your business goals.
From your business goals we derive a target picture, a roadmap and a fitting operating model. A traceable prioritisation logic puts the initiatives into a sensible order.
You pursue the right initiatives in a sensible order, instead of introducing tools without coordination. The target picture sets out which use cases are assessed next.
We assess use cases by benefit and feasibility.
We assess your ideas against benefit, effort, data availability and feasibility criteria and bring them together in a use case portfolio. A benefit-effort matrix makes the order justifiable.
You invest deliberately in use cases with evident benefit and manageable risk instead of spreading thin. The prioritised cases determine which guardrails governance needs first.
Roles, policies and approvals make AI steerable.
We anchor a governance framework with roles, policies and approval gates and place initiatives in their regulatory context along the EU AI Act and GDPR. Review steps for data protection, ethics and compliance are a fixed part of the decision process.
You keep risk, ethics and compliance in view with unambiguous ownership, which builds trust. The guardrails enable the use and are monitored for the long term through the steering. Concrete legal requirements we examine individually in each context, and they do not replace legal advice.
Progress, benefit and risk stay measurable and steerable.
For each use case we define traceable criteria and anchor KPIs, model monitoring and regular review cycles. Audit trails make decisions and results traceable.
You steer your AI initiatives on facts and adapt the strategy when conditions change. From the results come the next prioritised initiatives, so strategy and governance keep sharpening.
AI where it creates measurable business value, not for its own sake.
A framework for compliant and ethical use of AI.
Regulation and data protection are thought through from the start.
Leadership and business units decide on a shared basis.
Use cases become one prioritised route.
The strategy leads straight to platform, adoption and operation.
Answers to the questions we are asked most often about AI strategy and governance.
We talk about use cases, strategy and governance for a responsible use of AI.
