Artificial Intelligence
AI Strategy & Consulting
From AI vision to actionable strategy. We support organisations in the strategic planning and secure implementation of AI initiatives.
Why an AI Strategy?
Artificial intelligence offers enormous potential for efficiency gains, new business models, and competitive advantage. But unplanned AI adoption leads to isolated solutions, compliance risks, and missed synergies. A well-thought-through AI strategy ensures that AI initiatives contribute to your organisational objectives while not neglecting security and ethics.
Our Consulting Approach
We begin with an AI readiness analysis: where does your organisation stand today? What data, capabilities, and processes are already in place? Which use cases offer the highest ROI at acceptable risk? On this basis, we develop a practical AI roadmap – from pilot projects through to scaled implementation.
Security and Governance
An AI strategy without a governance framework is incomplete. We help you establish clear responsibilities, decision-making processes, and oversight mechanisms for AI systems – incorporating the requirements of the EU AI Act and other applicable regulations from the outset.
Regulatory Framework: EU AI Act and ISO/IEC 42001
The EU AI Act requires organisations to systematically classify all deployed AI systems by risk level – from prohibited AI through high-risk to minimal-risk systems. Without a documented AI inventory and clear responsibilities, this classification cannot be carried out. ISO/IEC 42001 provides the normative framework: an AI management system that systematically covers EU AI Act requirements while simultaneously forming the basis for external certification. For organisations already operating ISO 27001, ISO/IEC 42001 extends the existing ISMS with AI-specific controls – without building redundant structures.
Typical Engagement Scenarios
Manufacturing company with AI in quality control
A machine builder with 600 employees uses AI image processing for quality assurance – and has three further AI pilots running in production planning. Systems were procured ad hoc, without EU AI Act classification or governance. We create the complete AI inventory and develop a prioritised, regulatory-compliant roadmap.
Financial services provider planning AI in credit decision-making
A credit institution wants to use AI for pre-screening of loan applications. The system qualifies as high-risk AI under EU AI Act Annex III with stringent requirements: technical documentation, conformity assessment, human oversight concept. We develop the complete implementation plan and support regulatory compliance.
SaaS provider with parallel AI projects and no overarching strategy
A software company has independently started AI projects in three departments. Synergies are unexploited, risks are accumulating, and an overarching strategy is missing. We consolidate the initiative, assess projects by risk and ROI, and develop a unified AI strategy with clear governance.
Scope of Services
- AI Readiness Assessment
- Use Case Identification & Prioritisation
- AI Roadmap & Business Case
- Governance Framework for AI
- EU AI Act Compliance
- Make-or-Buy Decision Support
- AI Vendor Selection
- Change Management & Enablement
Develop Your AI Strategy
Start now with a structured AI strategy for your organisation.
Request ConsultationFrequently Asked Questions about AI Strategy
Do I need an AI strategy because of the EU AI Act?
The EU AI Act does not explicitly mandate an AI strategy – but it requires extensive documentation, risk assessments, and governance structures for high-risk AI. These cannot be implemented systematically without a complete AI inventory and clear responsibilities. An AI strategy is therefore a practical prerequisite for compliance.
What is the difference between AI strategy and AI governance?
AI strategy defines goals, priorities, and roadmap – where does the organisation want to go with AI and how are use cases prioritised? AI governance describes the ongoing structures and processes by which AI systems are monitored and controlled in operation. Both build on each other.
How long does it take to develop an AI strategy?
For a mid-sized organisation, typically 6–10 weeks: AI readiness analysis (2–3 weeks), use case assessment and roadmap (2–3 weeks), governance framework and finalisation (1–2 weeks). A compact assessment for smaller organisations is achievable in 2–3 weeks.
What does AI strategy consulting cost?
The scope depends on organisation size, number of existing AI systems, and depth of the governance framework. We recommend starting with an AI readiness assessment – this clarifies the necessary scope and immediately delivers actionable insights.
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Your AI Strategy with Blackfort
Together we develop an AI strategy aligned with your organisational goals – secure, compliant, and ready to scale.