How can AI advisory services help you stay ahead?

AI consulting helps your business use smart technologies to stay one step ahead of the competition. With the right guidance, you can automate routine tasks, get faster insights from data, and improve customer experiences. Whether it's making better decisions, cutting costs, or building new digital tools, an AI advisor can tell you what’s possible and help you harness artificial intelligence successfully.

When companies need AI consulting services


AI consulting helps when companies lack internal skills, processes aren’t working in order, or the data and systems aren’t yet ready. Whatever the issue you are facing, our AI experts can help. Here are some common signs it’s time you need AI advice from experts:

  • You don’t have in-house AI experts or the time to build a team.

  • The business data is messy, unstructured, or hard to use.

  • Ongoing processes are slow, manual, or inefficient.

  • Struggling to deliver personalised customer experiences.

  • Outdated maintenance processes lead to heavy downtime and high costs.

  • Functioning on old fraud detection systems that lack protections against real threats.

  • Current systems can’t easily connect with AI tools.

  • Lack of trusted resources of good-quality data to train AI models.

  • The IT setup isn’t designed to support AI tools or scale them.

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Our AI consulting services for all your business needs

Do you want to use AI to move your business forward? At Codeitt, an AI consultancy in the Netherlands, we help businesses make the most of artificial intelligence technology. We can help you improve things like supply chains, key business operations, and more with compatible artificial intelligence solutions. Our expert AI advisors give you the right support to help your business succeed.

We provide a complete AI consulting service to prepare your business for the future. From defining your AI policy to choosing the right tools and working with each department, we guide you every step of the way. We also train your team and manage the entire process from start to finish.

AI-strategie
AI Strategy and

Roadmap Development

A good AI strategy starts with a clear plan. We help you explore how AI can bring real value to your business. Our team creates a roadmap that matches your goals and shows you how to roll out AI in practical, manageable steps.

Datastrategie
Data Strategy

and Management

Great AI-performing solutions need massive and relevant data. We build a strong data strategy by setting up the right tools, systems, and rules. This ensures your data is clean, secure, easy to access, and is directly applicable to power smart AI solutions.

volwassenheidsanalyse
AI Maturity

Assessment

We check how ready your business is to implement AI successfully. Our team looks at your strategy, tools, data setup, and skills. Based on this, we help you improve and prepare for AI in the smartest way possible.

AI-integratie
AI Integration and

Implementation

We guide you through every step of adding AI to your business systems, from finding the right use cases to testing and launching the solution. We make sure the AI integration is smooth and brings real results.

Procesoptimalisatie
Process Optimization

Based on AI

We study how your business works and find ways to do things faster, better, and cheaper. Using AI, we help you improve workflows, reduce costs, and get smarter insights to support growth.

AI-gedreven
AI-Driven

CX Improvement

With AI tools like machine learning and natural language processing, we help you understand your customers better. You can deliver more personalised experiences, smarter recommendations, and stronger customer service across every channel.

Dani bild

We can resolve your challenges with AI solutions

Let's build intelligent solutions together that help your business move forward.

Practical Ways AI Can Help Your Business

Artificial intelligence can support many parts of your business — from customer service to maintenance. Here are some smart ways it can make a real difference:

Market and competitor analysis – Understand your position in the market and what others are doing

Understanding your customers – Learn what your customers want and how they behave

Sales forecasting – Predict future sales trends using data

Recommendation systems – Suggest the right products or content to each user

Technical support – Use AI chatbots or other tools to quickly solve problems

Predictive maintenance – Spot equipment issues before they cause breakdowns

Automation – Save time by automating routine business tasks

Fraud detection – Catch unusual or risky activities in real-time

Personalisation – Create more tailored offers, emails, and customer journeys

Our Approach to AI Consulting

  • Strategic Roadmap & Scoping

    We assist you with defining your goals after understanding your data landscape. We also set clear milestones to ensure the project is focused, flexible, and runs smoothly.

  • Feasibility & Cost Efficiency

    We assess technical and business feasibility early on. We analyse and inform you about risks, values, and cost control. We ensure your investment delivers maximum return.

  • Strong Collaboration

    We work as your partner, not just a vendor. We ensure 100% open communication, full transparency, and close teamwork. We ensure your input shapes the project.

  • Reliable Quality Assurance

    We conduct strict testing processes both manual and automated. So, the delivered solutions are stable, secure, and perform exactly as needed.

  • Data Security & Compliance

    We follow best practices to keep your data safe and meet all key compliance standards. We ensure your AI systems are both secure and trustworthy.

  • Clear Handover & Support

    We provide full documentation and hands-on knowledge transfer, so your team understands the solution and can manage it with confidence.

Technology tools we use for building AI solutions

As your trusted AI consulting partner, we help you unlock the full potential of AI with smart, scalable, and future-ready solutions. Using the latest development technologies and proven strategies, we guide your business in adopting AI the right way.

Programming Languages

Python Java JavaScript TypeScript C++

AI Models

ChatGPT DeepSeek Claude Gemini LLaMA

Integration and Deployment Tools

Docker Kubernetes

AI Development Tools

Jupyter Anaconda Google Colab

Data Warehousing and Management

Hadoop Apache Spark Microsoft Azure

Model Management

TensorFlow ONNX Keras PyCharm VS Code Jupyter

Need a developer? This is our process

Codeitt strives for a long-term, successful collaboration between your organization and our resources. Hire an expert programmer in 5 easy steps!

Tell Us the Skills You Need

Pick, Examine & Select the Developer of your choice

Fair and Flexible Contract

Onboarding

Let us begin.

What do our customers say?

Read about our customers' experiences and gain valuable insights into the reliable partnership that Codeitt has built up to this day.

I am very satisfied with my experience with Codeitt. As a customer I was looking for a reliable and professional company, and Codeitt met all my expectations. The communication team was responsive and friendly, and I was kept informed of progress at all times. They understood my needs and delivered a high quality, customized solution. They were knowledgeable and skilled in their field, and the results were impressive. They adhered strictly to deadlines and budgets, which gave me great confidence. In short, Codeitt is an excellent company that I highly recommend.

Giovanni p

What I found most impressive and unique about this company was their ability to listen to our needs in an exceptional way and translate them into a tailor-made solution. They not only understood our vision but also exceeded it with their expertise and creativity. Furthermore, their dedication to customer satisfaction was remarkable, with continuous support.

Dylano V

In my webshop (not built by Codeitt) there was a problem with the order confirmation. Codeitt found it quickly and was able to solve it, while I had been looking for it for days. The price for solving it was also very reasonable!

Daniel van den Akker

I wanted to upgrade my webshop to the latest Magento version. They helped us with the installation of the upgrade at an affordable price. Very satisfied.

Robin Bello

My webshop has been renewed to my complete satisfaction, by a professional team with friendly communication.

Anja van de Sande

Spoke to the account manager, very nice guy. I was helped very well!

Linda Janssen

Frequently Asked Questions

How long does an AI consulting project take?

It depends on your goals and setup. Some projects take just a few months, while others may last a year or more. The timeline is shaped by:

  • How complex is your project?
  • How ready is your business and data?
  • What kind of AI solution do you need?

How do we make sure your AI project is a success?

We start by fully understanding your business needs. Then we choose the right tools, build the right team, and use your existing resources smartly. We stay flexible, keep you involved, and focus on quality at every step to deliver real, useful results.

What does an AI consultant actually do?

An AI consultant assesses your business needs. They can recommend the right AI strategy and also guide the implementation process. They also provide support and training so your team can use and maintain AI effectively.

How do I pick the right AI consulting partner?

Choose a firm with proven experience in your industry. Look for strong technical knowledge and a collaborative working style. You can also ask for case studies or customer references to make sure they're a good fit.

Our Latest Blog

tay updated with the newest tech trends, articles, news, and insights—designed to help you expand your knowledge.

Comprehensive Guide to White Label Web Development

01 Feb

In today’s digital economy, having a strong online presence is critical for businesses of all sizes. A well-built website often forms the heart of that presence, and with more organizations seeking to modernize or launch digital platforms, the demand for white label web development has grown rapidly.

Outsourcing web development behind the scenes allows agencies and companies to scale efficiently without investing heavily in technical resources upfront. This guide breaks down what white label web development is, how it works, why it’s valuable, and how to select the right partner.

What Is White Label Web Development?

White label web development refers to a service provided by a third-party company where the final product is delivered without any branding from the actual developers. Instead, the hiring agency brands and presents the work as its own to clients.

In essence, a white label development partner does all the technical work — from coding to testing — while you retain ownership of the client relationship and presentation.

How It Works

Let’s say your agency lands a client who needs a custom website. You could build it yourself — or partner with a white label web developer. Here’s the typical workflow:

  • Project Planning – You share the project requirements and design brief with your white label partner.
  • Development – The partner’s developers build the website, test features, and ensure quality.
  • Delivery – Once complete, the final website is handed over to you. You add your branding and present it to your client.
  • Client Support (if needed) – Many partners also provide ongoing maintenance and updates behind the scenes.

    This model keeps your brand in the spotlight while the development work stays invisible to your clients.

    Why Choose White Label Web Development?

    White label web development offers several strategic advantages for digital agencies, freelancers, and businesses:

    1. Strengthen Your Brand Without Technical Overhead

    With white label services, you can offer full custom websites under your own name — even if you don’t have developers in-house. This lets you expand your service catalog without diluting your brand identity.

    2. Cost-Effective Growth

    Hiring and training a full development team is expensive and time-consuming. Partnering with experts on an as-needed basis lets you control costs and maintain profitability while delivering high-quality work.

    3. Faster Delivery Times

    Established white label teams have structured development processes and experienced personnel ready to go. This often results in quicker project completion and happier clients.

    4. Focus on What You Do Best

    Outsourcing development frees up your internal team to concentrate on core strengths like marketing, client strategy, SEO, or design. You avoid the distractions of technical execution and support.

    5. Access Specialized Expertise

    Whether it’s complex functionality, e-commerce platforms, or advanced integrations, white label partners bring specialized skills that might be hard to hire for directly.

    How to Choose the Right White Label Partner

    Picking the right development partner is key to success. Here’s how to make a smart selection:

    1. Do Organized Research

    Look beyond the first page of search results — check industry directories, read reviews, ask for referrals, and evaluate portfolios. Focus on vendors with experience relevant to your niche and technical needs.

    2. Prioritize Clear Communication

    Strong communication ensures expectations are aligned from the start. Choose a partner who listens, asks questions, and responds promptly.

    3. Understand Costs and Value

    Ask for detailed pricing and deliverables. Avoid hidden fees by clarifying what support and revisions are included. Some agencies also offer trial projects or short-term engagements to start.

    Conclusion

    White label web development is an effective way to grow your service offerings, boost revenue, and delight clients — all without the burden of building an in-house development team. By leveraging a reliable partner, you can scale your business smartly, take on more work, and focus on your strengths.

    If your goal is to deliver professional websites and digital products while keeping your brand front and center, white labeling might be the strategic solution you need.

    Top 10 Artificial Intelligence Trends Shaping 2026

    01 Feb

    Artificial Intelligence (AI) continues to evolve rapidly, transforming not only how we work and live but also redefining entire industries. As we approach 2026, AI is no longer futuristic—it’s part of the fabric of everyday life. From smarter automation to emotional intelligence in machines, these trends are reshaping business, tech, and human interaction.

    1. Smarter Automation Across Workflows

    AI is taking over repetitive and manual tasks at an unprecedented scale, allowing humans to focus on higher-value, creative work. Today’s AI systems can automate routine processes like scheduling, data entry, customer support, and compliance checks—boosting productivity and freeing up human effort for strategic activities.

    2. Conversational AI Gets More Human

    Chatbots and virtual assistants have come a long way. In 2026, advanced conversational AI will handle complex discussions, understand context, and offer more natural interactions. Businesses are increasingly deploying AI-driven agents for customer support, onboarding, and internal workflows, making communication faster and more intuitive.

    3. AI as a Developer’s Best Tool

    Software development is being reshaped by intelligent assistants that can write, review, debug, and document code. With “vibe coding” and similar innovations, developers can describe tasks in natural language and let AI translate them into actionable code. This trend speeds up project delivery and reduces resource cost

    4. AI-Enhanced Gaming Experiences

    AI is transforming gaming by generating dynamic worlds, responsive characters, and adaptive narratives. Instead of static, scripted environments, games in 2026 will respond to individual player decisions—making each experience unique and immersive.

    5. Transparent, Ethical AI Becomes Essential

    With AI powering critical decisions in healthcare, finance, and justice systems, transparency and accountability are no longer optional. Explainable AI (XAI) focuses on making AI decision-making understandable and fair, so outcomes can be trusted, audited, and reproduced.

    6. AI Strengthens Cybersecurity

    As cyber threats grow in sophistication, AI becomes a key defender. Intelligent systems can rapidly detect unusual patterns, prevent breaches, and respond to attacks faster than traditional tools. From biometric access controls to proactive threat hunting AI, organizations are relying on intelligent security frameworks to stay resilient.

    7. Generative Search Changes How We Explore Information

    AI is transforming search engines—from link lists to conversational answers. Platforms are beginning to embed AI-generated insights, blending them with sponsored content and contextual responses. This trend is reshaping how users discover information and how brands gain visibility online.

    8. Shadow AI Spurs Fast Innovation

    Shadow AI refers to AI tools developed or adopted without formal IT oversight. While this boosts agility and experimentation, it also introduces risks like poor governance and security gaps. Organizations will need strategies to harness Shadow AI safely to enable rapid innovation while maintaining control.

    9. Emotional AI Understands People Better

    Sentiment-aware AI systems are emerging that can interpret tone, emotion, and facial cues. This enables customer support platforms to tailor responses based on mood, marketing campaigns to tap into emotional trends, and mental health tools to detect early signs of distress.

    10. Agentic AI Performs Tasks Independently

    Going beyond assistants, agentic AI systems can make decisions and take actions without constant human oversight. These intelligent agents automate workflows—whether predicting financial trends, optimizing supply chains, or managing complex tasks—offering a glimpse into a future where AI plays an active operational role.

    Conclusion: AI Is Everywhere — and Just Getting Started

    From automation and conversational systems to emotional understanding, AI’s impact in 2026 will be deeper and broader than ever. Companies and individuals alike must stay informed and adapt to harness these advances responsibly and effectively.