Sebastian Hoering: AI Readiness Check

The instant scoring needs JavaScript. Without it you can still read the 9 questions and answer them for yourself, or we walk through them together in a conversation.

Forms of AI use: Which forms of AI use already exist in your company? Select all that apply; “None of these yet” excludes the others.

Chat assistants: ChatGPT, Claude, Copilot and the like for writing, research and analysis in daily work.Agentic work tools: tools such as Claude Code or Cowork that complete multi-step tasks on the computer autonomously.Citizen orchestration: business teams build their own AI workflows with n8n, Zapier or Power Automate, without software development.Professionally developed agentic workflows and AI applications: built, tested and operated by the development team.AI seamlessly integrated into your own business applications: AI features as a fixed part of the system landscape or product.AI-native cloud services: bought-in software with built-in AI, such as Salesforce Einstein, SAP Joule or Microsoft 365 Copilot.None of these yet.

Strategy: Where does your AI strategy stand?

No AI strategy exists.Scattered ideas, not prioritised.Strategy exists, but without roadmap or budget.Strategy with roadmap, budget, and clear ownership.

Use Cases: How far along are your AI use cases?

No concrete use case identified.First use cases named, but not evaluated.Use cases evaluated, a pilot is running or planned.Several use cases in production with measured benefit.

Data: How accessible and how good is your data for AI applications?

Data is scattered, unstructured, or inaccessible.Data exists but isn't cleaned or centrally accessible.Central data base exists, quality is unclear in places.Clean, accessible data base with defined ownership.

Team & Skills: What AI capability does your team have?

No one in the company actively works with AI tools.A few people use AI tools privately or occasionally.Part of the team is trained, but it lacks breadth.AI capability is established in the team, ongoing training is standard.

Governance: How does your organisation handle AI governance and the EU AI Act?

The EU AI Act and its obligations are unknown or not addressed.Rough overview exists, but no classification of your own AI systems by risk category.AI systems are classified by risk category, transparency obligations partly implemented.Governance process established: risk classification, transparency obligations, and the Art. 4 training obligation (AI literacy) are covered.

Tool Approval: How do you govern which AI tools may be used for what?

No rules: people use whatever they find. Or AI is banned outright, which in practice leads to shadow use.Individual tools are tolerated or blocked, but without transparent criteria.An approval process exists: tools are evaluated before use (privacy, security, vendor).Active tool management: new tools are deliberately scouted and trialled to seize opportunities early. Approvals are defined per task type, usage mode and data class, and reviewed regularly.

Infrastructure: What technical infrastructure for AI applications is in place?

No access to AI services: neither cloud connectivity nor API access through which AI applications could be built.Access to cloud and AI APIs exists, but is at most used for one-off experiments; nothing is integrated into the system landscape.First AI services (APIs, models) are integrated, but isolated per use case.Scalable AI infrastructure with defined interfaces into the system landscape.

Culture: How open is your organisation towards AI?

AI is seen as a threat, resistance dominates.Curiosity is there and experimenting is tolerated, but there's no room and no backing from the top.AI use is encouraged, but without direction or success measurement: plenty of activity, unclear impact.AI use is modelled by leadership, deliberately encouraged, and measured by its impact.

Your result

Your forms of AI use

Your next steps

Detailed assessment in a conversation Book a call and share your result

Opens the Cal.com booking in a new tab. Your result is prefilled in the notes field and can still be edited before you submit; it is only transmitted when you book.