{"id":17373,"date":"2026-11-03T15:49:10","date_gmt":"2026-11-03T14:49:10","guid":{"rendered":"https:\/\/www.theinformationlab.de\/?page_id=17373"},"modified":"2026-11-12T15:38:00","modified_gmt":"2026-11-12T14:38:00","slug":"ai-readiness-check-assessment","status":"publish","type":"page","link":"https:\/\/www.theinformationlab.de\/en\/business-intelligence-consulting\/data-ai-consulting\/ai-readiness-check-assessment\/","title":{"rendered":"AI Readiness Check"},"content":{"rendered":"
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AI<\/mark> Readiness<\/mark>
Check<\/h1>\n\n\n\n

Data & AI Assessment: Evaluate use cases, data readiness and organisational requirements before launching AI projects<\/strong><\/strong><\/p>\n\n\n\n

The AI Readiness Check helps identify which AI ideas offer genuine business value, whether your data, architecture and business context are ready to support them, and which organisational requirements still need to be addressed.<\/p>\n\n\n\n

The result is a documented assessment with prioritised use cases, clearly identified gaps and an actionable roadmap, including a proposal for a pilot project.<\/p>\n\n\n\n

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Request an AI Readiness Check<\/a><\/div>\n\n\n\n
Explore the Process<\/a><\/div>\n<\/div>\n\n<\/div>\n <\/div>\n <\/div>\n\n<\/div>\n

Startseite<\/a><\/span><\/span><\/p>\n\n

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Why an AI Assessment
Makes Sense<\/mark><\/h2>\n\n\n\n
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Almost every organisation has ideas for using AI. But it is often unclear which of these actually require AI and which could be addressed more effectively through traditional Business Intelligence or automation.<\/p>\n\n\n\n

At the same time, many pilot projects struggle because of the underlying data rather than the AI model itself. Common obstacles include poor data quality, missing business context and architectures that are not designed to support AI applications.<\/p>\n\n\n\n

The AI Readiness Check provides a reliable starting point.<\/mark><\/strong><\/p>\n<\/div>\n\n\n\n

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It combines a business perspective with an assessment of your existing data landscape, data quality and semantics. It also considers the organisational requirements around governance, skills and ongoing operations.<\/p>\n\n\n\n

The Information Lab brings years of project experience in Business Intelligence, Data Engineering and enablement. As an ISO 27001-certified company, we follow established information security standards, including when reviewing internal data, systems and documentation.<\/p>\n<\/div>\n<\/div>\n\n<\/div>\n <\/div>\n<\/div>\n\n\n

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The Right Use Cases<\/h4>\n\n\n\n

Prioritise ideas based on business value and feasibility before committing resources.
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A Solid Foundation<\/h4>\n\n\n\n

Identify gaps in architecture, data quality and business context before they hold back a pilot project.<\/p>\n\n<\/div>\n <\/div>\n<\/div>\n\n\n\n

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Organisational Requirements<\/h4>\n\n\n\n

Address governance, responsibilities and operating costs early to support responsible AI adoption at scale.<\/p>\n\n<\/div>\n <\/div>\n<\/div>\n<\/div>\n\n<\/div>\n <\/div>\n<\/div>\n\n\n

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OUR APPROACH<\/mark><\/strong><\/p>\n\n\n\n

Three Perspectives for a Clear Direction<\/h2>\n\n\n\n

The AI Readiness Check assesses your organisation from three complementary perspectives. Each component delivers measurable, documented findings that feed directly into your roadmap.<\/p>\n\n\n\n

We tailor the areas of emphasis to your organisation\u2019s current situation and requirements.<\/p>\n\n<\/div>\n <\/div>\n<\/div>\n\n\n\n

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Business Value & Use Cases<\/mark><\/span><\/strong><\/p>\n\n\n\n


Interviews and facilitated workshops with management, business departments and data teams.<\/p>\n\n\n\n


\u2727<\/mark><\/span><\/p>\n\n\n\n


Use Cases & Prioritisation<\/strong>
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Structured identification of opportunities across Business Intelligence, automation and AI.

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Deliverables:<\/mark><\/strong> A use case matrix and 3\u20135 detailed use case profiles, including baselines, target values, processes, risk assessments, estimated effort, business value and feasibility.
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\u2727<\/mark><\/span><\/p>\n\n\n\n


Decision-Making Processes & Target Audiences<\/mark><\/strong><\/p>\n\n\n\n

Analysis of existing information flows and how decisions are made in practice.

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Deliverables:<\/mark><\/strong> Defined personas and their access requirements, an assessment of existing dashboard usage, and an evaluation of opportunities for AI agents to reduce manual workload.<\/p>\n\n<\/div>\r\n<\/div>\r\n<\/div>\n\n\n\n

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Technical Foundation & Data Readiness<\/mark><\/strong><\/p>\n\n\n\n


Assessment of the existing data landscape and an architecture workshop with IT and engineering teams.<\/p>\n\n\n\n


\u2727
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Architecture & Modernisation<\/strong><\/mark> <\/strong>
<\/mark>Review of source systems, data pipelines, platforms and semantic layers.

Deliverables:<\/mark><\/strong> Documented current-state architecture, a future-ready target architecture with technology recommendations, a gap analysis and reliable cost estimates for each scenario.
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\u2727<\/mark><\/span>

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Data Quality & Lineage<\/mark><\/strong>
Assessment of data completeness, consistency, redundancy and timeliness, as well as manual handovers and potential points of failure in existing data flows.

Deliverables:<\/mark><\/strong> A data quality scorecard with indicators for each data object, a pipeline maturity assessment, the five most significant risk factors and prioritised corrective actions.<\/p>\n\n\n\n



\u2727<\/mark><\/span>

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Semantics & Context Provisioning<\/mark><\/strong> Validation of metric definitions, metadata, business rules and unstructured knowledge to support reliable AI models.<\/p>\n\n\n\n


Deliverables:<\/mark><\/strong> A semantic context inventory, guidance for the business logic layer and a testing framework for AI queries in production.<\/p>\n\n<\/div>\r\n<\/div>\r\n<\/div>\n\n\n\n

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Governance & Operations<\/mark><\/strong><\/p>\n\n\n\n


Assessment of organisational structures, policies and operational requirements.<\/p>\n\n\n\n


\u2727<\/mark><\/span>
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Governance & Regulatory Compliance<\/strong><\/mark><\/mark>
Practical guidelines for access control, information security, data protection (GDPR) and compliance.

Deliverables:<\/mark><\/strong> Governance-Checkliste mit Ampellogik und Handlungsfeldern f\u00fcr Rechts- und Datenschutzabstimmungen.<\/p>\n\n\n\n


\u2727<\/mark><\/span>

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Operations & Costs<\/mark><\/strong><\/p>\n\n\n\n

Quality measurement, feedback loops for context engineering and ongoing operational costs.

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Deliverables:<\/mark><\/strong> An outline operating model, reliable cost estimates for ongoing operations and an evaluation framework for proofs of concept and pilot projects.<\/p>\n\n<\/div>\r\n<\/div>\r\n<\/div>\n<\/div>\n\n<\/div>\n <\/div>\n<\/div>\n\n\n

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How the AI Readiness Check<\/mark> Works<\/h2>\n\n\n\n

Price: From \u20ac3,990, depending on scope and complexity<\/strong><\/p>\n\n\n

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Scoping Discussion<\/strong><\/strong><\/p>\n\n\n\n

Together we define the objectives, current situation, stakeholders and priorities for the assessment.<\/p>\n\n<\/div>\n\t<\/div>\n<\/div>\n\n\n\n\n

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Workshops & Interviews<\/strong><\/p>\n\n\n\n

Business workshops with management and business departments, alongside an architecture workshop with IT and the data team.<\/p>\n\n<\/div>\n\t<\/div>\n<\/div>\n\n\n\n\n

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Analysis<\/strong><\/p>\n\n\n\n

Assessment of data quality, context, governance, skills and the operating model.<\/p>\n\n<\/div>\n\t<\/div>\n<\/div>\n\n\n\n\n

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Findings & Roadmap<\/strong><\/p>\n\n\n\n

Presentation of the maturity assessment, recommendations and roadmap, including a pilot proposal.<\/p>\n\n<\/div>\n\t<\/div>\n<\/div>\n\n\n\n<\/div>\n<\/div>\n\n\n\n

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DELIVERABLES<\/mark><\/strong><\/p>\n\n\n\n

What You’ll Receive<\/h2>\n\n\n\n

You receive actionable deliverables that management, business departments and IT teams can use to plan and implement their next steps.<\/p>\n\n<\/div>\n <\/div>\n<\/div>\n\n\n

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Executive Summary<\/h4>\n\n<\/div>\n <\/div>\n<\/div>\n\n\n\n
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Use Case Profiles<\/h4>\n\n<\/div>\n <\/div>\n<\/div>\n\n\n\n
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Target Architecture<\/h4>\n\n<\/div>\n <\/div>\n<\/div>\n<\/div>\n\n\n\n
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Data Quality Scorecard<\/h4>\n\n<\/div>\n <\/div>\n<\/div>\n\n\n\n
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Maturity Assessment<\/h4>\n\n<\/div>\n <\/div>\n<\/div>\n\n\n\n
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Roadmap & Pilot Proposal<\/h4>\n\n<\/div>\n <\/div>\n<\/div>\n<\/div>\n\n<\/div>\n <\/div>\n<\/div>\n\n\n
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Tool-Agnostic and Compatible with Your Existing Systems<\/h2>\n\n\n\n

The assessment starts with your existing technology landscape rather than a particular product. Whether you use Tableau, Power BI, Snowflake, dbt, Alteryx or other systems, we evaluate what is actually required for your prioritised use cases. The target architecture outlines multiple options, including the estimated effort and costs for each.<\/p>\n\n\n\n

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Tableau<\/a><\/div>\n\n\n\n
Power BI<\/a><\/div>\n\n\n\n
Snowflake<\/a><\/div>\n\n\n\n
dbt<\/a><\/div>\n\n\n\n
Alteryx<\/a><\/div>\n<\/div>\n\n\n\n
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Learn More about Data & AI Approach<\/a><\/div>\n<\/div>\n<\/div>\n\n\n\n
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Who Is the AI Readiness Check For?<\/h3>\n\n\n\n