AI-Center of Excellence (CoE) - Quick Setup
Data & AI

Motivation
The successful integration of Artificial Intelligence (AI) across organizations is often hindered by fragmented initiatives, a lack of strategic alignment, and missing structures for governance, scalability and cross-functional collaboration. While many organizations recognize the transformative potential of AI, they often lack the necessary framework to manage AI activities in a coordinated, value-driven and compliant manner.
An AI Center of Excellence (CoE) addresses these challenges by providing a central organizational structure that ensures transparency, quality, and strategic direction in all AI-related activities. It serves as an internal enabler that builds capabilities, defines standards, and supports the identification and implementation of high-impact AI use cases.
What we bring
20 years of experience with software and data architectures for many of the world’s largest enterprises has generated the expertise needed for PRODYNA to help you design and develop applications in the public cloud. With this offering we will assist you with:
- AI Strategy: Develop a strategic foundation and roadmap to expand AI capabilities with measurable business impact.
- AI Governance Standards: Establish essential governance processes aligned with AI objectives, ensuring compliance and responsible usage from the beginning.
- Trusted AI: Create AI systems that prioritize transparency, fairness, and responsibility – even in the earliest stages.
- AI Operating Models: Construct lean, scalable frameworks that support the efficient integration of AI technologies.
- Agentic AI Architecture: Design adaptive AI frameworks that can evolve with your organization’s future needs.
What you need
To successfully establish the foundation of an AI Center of Excellence (CoE) and enable innovation and value creation, your organization will need to provide:
- Clear Business Objectives: Align the AI CoE with your strategic business goals to ensure relevance and impact.
- Engagement: Involve key stakeholders from relevant departments to foster alignment and ownership.
- Documentation: Provide initial insights into your existing data and technology landscape to guide setup and implementation.
- Management Attention: Ensure executive-level commitment and awareness that AI governance is key to long-term success.
- Dedicated Team: Assemble a small, motivated team of employees to act as core contributors and champions for AI within your organization.
What you get
We enable your organization to confidently enter the AI space with a structured, value-driven and compliant setup. Our deliverables focus on establishing a strong foundation for your AI Center of Excellence (AI CoE), while already delivering visible business outcomes. Our Deliverables Include:
- A clearly defined AI target vision and measurable goals aligned with corporate strategy
- A tailored AI CoE blueprint covering structure, roles, governance, and operating model
- Identification and prioritization of impactful, technically viable AI use cases
- Implementation of a Lighthouse MVP to demonstrate early business value
- Initial setup of AI governance processes and responsible AI policies
- Targeted workshops, training sessions and keynotes to enable teams
- Development of a CoE roadmap for sustainable AI adoption across the organization
PRODYNA will guide you and your employees through the process in the following phases:
AI Strategy Envisioning
(~1 week)
- AI Vision & CoE Purpose: Align leadership on strategic ambition and define the CoE’s core mission.
- Business Goals & Pain Points Mapping: Uncover cross-functional priorities to anchor AI to real business needs.
- Use Case Prioritization: Score potential use cases by impact, feasibility, and risk to build a strong starting portfolio.
- AI Readiness Assessment: Analyze maturity in data, tech and organization to identify readiness gaps.
- Target Picture & Success Metrics: Define the future AI state and measurable outcomes for progress tracking.
Governance & Trusted AI
(~1 week)
- Roles & Decision Framework: Set up clear responsibilities and decision paths for AI initiatives.
- Approval & Lifecycle Processes: Standardize AI development steps with checkpoints and documentation.
- Ethical AI Principles: Formulate AI policies to ensure fairness, accountability, and compliance.
- Responsible AI Enablement: Conduct workshops on ethical use, risk mitigation, and transparency.
Technology Foundation & AI Enablement
(~1 week)
- Infrastructure & Integration Review: Evaluate platforms, tools and data landscape for AI enablement.
- AI Literacy & Framing Workshops: Train teams on use case framing, evaluation and foundational AI knowledge.
- Architecture Deep Dive: Showcase modern, modular AI system designs and agentic patterns.
- Capability Gap Analysis: Identify missing skills and define an enablement roadmap for key roles.
- Tool & Platform Guidance: Support tool selection based on business needs, scalability and governance fit.
Lighthouse MVP
(~3 weeks)
- Use Case Selection: Choose a high-impact, high-visibility case to validate the AI approach.
- MVP Scoping & Data Check: Define the MVP scope and assess if data is sufficient and usable.
- Lean MVP Delivery: Implement a functional MVP including documentation and light governance.
- Stakeholder Feedback Loop: Gather insights from users and stakeholders to improve solution fit.
- Result & Impact Reporting: Create a clear summary of outcomes, lessons, and business value.
CoE Roadmap & Scalability
(~1 week)
- Operating Model Design: Define scalable roles, structures, and workflows for long-term success.
- Capability Development Plan: Lay outgrowth steps across the CoE’s strategic, technical and delivery pillars.
- Initiative Sequencing: Cluster and prioritize AI initiatives for structured rollout.
- KPI & Rollout Planning: Set performance indicators and create a stepwise rollout plan.
- Roadmap Handover: Deliver final roadmap and align on ownership for execution.
Quick facts
- Duration: 8 weeks
- Establish a tailored AI CoE as the foundation for an AI roadmap, enabling the organization to unlock the full potential of AI across business units in alignment with governance structures.
Benefits
- Strategic Orientation: Align AI initiatives with real business goals from the start
- Accelerated Learning: Build understanding and capabilities through hands on workshops and coaching
- Governance by Design: Embed compliance and responsible AI principles early on
- Fast Time-to-Impact: Deliver a visible MVP to show business value quickly
- Scalable Foundation: Lay the groundwork for long-term CoE growth and cross functional enablement
- Trusted Partnership: Gain a sparring partner with deep AI and enterprise experience



Want to hear more?
Get in touch