AI Readiness Check

From Ambition to Scalable AI Execution

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From Exploration to Enterprise‑Level Readiness

Many organizations are experimenting with AI through early use cases or pilots, yet these efforts often fail to scale or create lasting value. The challenge is less about ideas and more about lacking a clear view of true AI readiness. Unclear ownership, fragmented initiatives, and gaps in data, technology, and capabilities frequently stall progress.
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The AI Readiness Check provides a structured, objective assessment of your organization’s maturity across four dimensions: technology, processes, culture, and skills. Through a guided self‑assessment supported by expert analysis, it creates a transparent, shared understanding of where you stand.

Rather than offering abstract evaluations, the approach identifies concrete strengths, critical gaps, and the systemic factors that determine your ability to adopt and scale AI. In a short timeframe, you gain clarity on your current maturity, the barriers limiting progress, and the targeted actions required to move from isolated experimentation to enterprise‑wide AI adoption.

The Approach

We Understand Your Current State

We establish a clear and realistic picture of your organization’s AI capabilities through a structured, cross‑functional self‑assessment involving key leaders from business, IT, and data.

We Structure and Assess

We consolidate and analyze all input to create a focused AI readiness profile, highlighting strengths, critical gaps, and systemic challenges across technology, processes, culture, and skills.

We Create Clarity and Direction

You receive a transparent, aligned view of your AI maturity — along with concrete, prioritized actions that enable scalable, sustainable, and enterprise‑wide AI adoption.

Three Steps to Determine your AI Readiness

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1. Self‑Assessment Execution

(20 min per user, remote)

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A targeted, structured on-line survey using a purpose-built application engages key stakeholders across business, IT and data to capture a clear, organization‑wide view of current AI readiness across four dimensions:

Technology: Infrastructure, data accessibility, tooling and platform maturity
Processes: Development, deployment, lifecycle and operational workflows
Culture: Leadership support, mindset, experimentation and adoption
Skills: Depth and availability of AI, data and domain capabilities

2. Consolidation & Analysis

(1 day follow-up)

We consolidate all responses to create a coherent AI readiness profile, highlighting systemic patterns, strengths, bottlenecks and the factors most affecting your ability to scale AI.

‍Status Quo: Where does your company stand today?
‍Strengths: Where has your company shown progress?
‍Weaknesses: What factors preventing you from creating value with AI are underdeveloped, or missing?
‍Bottlenecks: What factors are prohibiting your company to scale AI usage

3. Readout & Activation

(1-2 hours, on site)

In a focused 90–120-minute executive session, held roughly one week after the survey closes, we present the findings and align on prioritized next steps specifically tailored to your strategic context.

Quick Facts

Guided self-assessment with expert evaluation.
Creates an AI readiness profile across the areas of technology, processes, culture, and skills.
Produces actionable recommendations.

‍Benefits

Guided assessment supported by expert validation.
Delivers a clear AI readiness profile across technology, processes, culture, and skills.
Provides targeted, actionable recommendations for next steps.

Hosted by Senior Enterprise Experts

Tobias Kimmerle

Head of Business Development

Martin Kruse

Cloud Architect

Why We Created This Offering

Many organizations invest in AI but struggle to scale beyond isolated pilots. Despite strong interest, unclear accountability, uneven capabilities, and weak foundational structures often result in stalled initiatives and poor returns.

Typical barriers we address:

Unclear ownership and governance of AI initiatives
Disconnected use cases without an enterprise strategy
Insufficient data and technology foundations
Capability gaps and lack of organizational alignment

Without clarity in these areas, organizations risk committing resources without establishing the conditions required for sustainable value.

The AI Readiness Check was created to close this gap—providing leaders with a clear, structured view of their current state and a defined path toward scalable AI adoption.