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AI Readiness Assessment: Identify AI potential before you invest

We analyse where AI can create measurable value in your organisation, what currently blocks your systems and which measures offer the greatest potential. The outcome is a prioritised roadmap your team can put into action.

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Duration: about 5–7 minutes · No registration required

What is an AI Readiness Assessment?

An AI Readiness Assessment is a structured technical and organisational review of your company across four connected perspectives: processes, architecture, code and governance. The result is a practical action plan with three to five prioritised measures, clear responsibilities, a realistic budget framework and measurable KPIs.

Are you asking yourselves these questions too?

If several of these questions cannot be answered with confidence, the foundations for reliable AI initiatives are usually still incomplete.

  • Which of our processes are genuinely suitable for AI, and which are not?
  • Are our systems designed so that AI can be integrated safely and independently?
  • Are our developers using AI tools in a controlled and traceable way?
  • Do we have the data required for meaningful AI use cases, and can we rely on it?
  • How do we manage security, hallucinations, compliance and the EU AI Act?
  • We already use AI, but code quality is deteriorating. How do we regain control?
Discuss your questions with our experts

Wie gut seid ihr auf den produktiven Einsatz von KI vorbereitet?

Beantwortet jede Aussage so, wie sie heute tatsächlich auf euer Unternehmen zutrifft. Dabei geht es um eure Prozesse, Systemarchitektur, Codebasis und Governance für den Einsatz von KI. Der Schnellcheck liefert eine erste Orientierung und ersetzt keine technische Prüfung.

Dauer: etwa 5–7 Minuten · Keine Anmeldung erforderlich

Perspektive 1 von 40 %
01 AI PROCESS READINESSWelche Prozesse eignen sich wirklich?

01Wir haben konkrete Prozesse priorisiert, bei denen KI einen messbaren Nutzen für Zeit, Kosten oder Qualität schaffen kann.

02Für diese Prozesse stehen ausreichend vollständige, zugängliche und verlässliche Daten zur Verfügung.

03Verantwortlichkeiten und messbare Erfolgskriterien sind für unsere KI-Vorhaben definiert.

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THE ASSESSMENT

Four perspectives. One reliable decision.

We do not assess processes, architecture, code and governance in isolation. We look at how they work together as one system.

AI PROCESS READINESS Perspective 01

Which processes are genuinely suitable?

We analyse where repeatability, data volume and recognisable patterns support AI, and where it can create measurable improvements in time, cost or quality. We also identify gaps in the data foundation.

What you get
A clear process map with an assessment of AI potential
AI ARCHITECTURE REVIEW Perspective 02

Are your systems ready?

We identify what currently blocks AI integration, such as data silos, missing API layers or overly tight coupling, and define what needs to be addressed next.

What you get
An architecture assessment with concrete blockers and action areas
CODE & PLATFORM AI READINESS Perspective 03

Can your team use AI agents effectively?

We assess whether your codebase is navigable, changes are traceable and knowledge is documented explicitly enough for AI-assisted development to work safely.

What you get
An assessment of code maturity for AI-assisted development
AI OPERATIONS & GOVERNANCE Perspective 04

Who is accountable when something goes wrong?

We review monitoring, quality control, responsibilities and regulatory requirements such as GDPR, the EU AI Act and industry-specific obligations.

What you get
A governance assessment, compliance gaps and actionable recommendations

Clarity your team can act on immediately

After the assessment, you know where your organisation genuinely stands with AI. We state clearly what already works, where technical or organisational risks remain and which topics should be addressed first. We work at eye level with your development team and translate technical findings into sound business decisions.

Instead of a long list of initiatives, you receive three to five clearly prioritised recommendations that fit your situation. Each recommendation comes with a measurable success indicator, so your team knows where to start and how to recognise progress. You also receive an AI Readiness Certificate and a complimentary follow-up call for questions that arise later.

Das MPOWR IT Team im gemeinsamen Austausch
PROCESS

From first orientation to a prioritised roadmap in three steps

Depending on scope, an AI Readiness Assessment with MPOWR IT typically takes two to four weeks.

01

Self-assessment & discovery call

Start with our free quick check. It takes around 5–7 minutes and gives you an initial orientation. We then define the scope and a fixed-price proposal together.

02

Assessment workshop

In a one- to two-day workshop, we analyse all four perspectives with the relevant stakeholders and review code, architecture and documentation.

03

Action plan & presentation

You receive a written action plan with three to five prioritised areas, each with concrete tasks, a realistic budget framework and a measurable KPI.

SUCCESS STORIES

What our clients have achieved with us

Digistore24 logo
Digital Commerce

Digistore24

We improved the performance, maintainability and security of infrastructure components for Digistore24 while reducing technical complexity through pragmatic guidelines and focused tooling.

View our client projects
TRICERA energy logo
Energy

TRICERA energy

Together with engineers and developers, we are building a software and infrastructure solution for industrial battery storage systems that integrates with renewable energy generation.

View our client projects
PALIGO logo
E-Commerce

PALIGO

We built a reliable Kubernetes environment for testing and production and designed a central IAM foundation for PALIGO’s growing multi-service platform.

View our client projects

Start with an initial AI readiness check

The free quick check takes around 5–7 minutes and shows where a reliable foundation already exists and which topics should be clarified first.

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FAQ

Frequently asked questions about AI Readiness Assessments

Who is an AI Readiness Assessment for?

It is designed for mid-sized companies and scale-ups that want to use AI productively and need a reliable technical and organisational basis for investment decisions.

We already use AI. Is the assessment still relevant?

Yes. Existing use often makes the review more valuable because we can examine real workflows, code, architecture and governance instead of working with assumptions.

Can we commission only selected perspectives?

Yes. We recommend starting with all four perspectives for a coherent baseline, but individual areas can be deepened or commissioned separately when the situation is already clear.

How is this different from a Technical Health Check?

The AI Readiness Assessment focuses on the conditions for reliable AI use across processes, architecture, code and governance. A Technical Health Check assesses the broader quality and resilience of systems and development practices.

How long does the assessment take?

Depending on scope and stakeholder availability, the assessment usually takes two to four weeks.

What does an AI Readiness Assessment cost?

We define the scope in a short discovery call and provide a transparent fixed-price proposal based on the systems, teams and perspectives involved.

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