Artificial Intelligence (AI) is high on the agenda at many companies. CEOs want to invest, managers are looking for the right applications, and employees are still experiencing inefficiencies in their work. But where do you start? And how do you make sure AI really adds value?

Research from leading consulting firms shows that organisations face the same challenges:

• 91% of CEOs plan to invest in AI within 12 months.
• The three biggest obstacles in AI implementation:
  • Identifying the right use cases.
  • Data quality and governance.
  • Digital maturity and technical capabilities.

Many organisations take a pragmatic approach and start cautiously with AI, but do not fully exploit its potential. This is why Ciphix has developed a structured approach that helps to deploy AI concretely and effectively. Whether you are just starting with AI or already want to develop concrete applications, we will help you along.

The AI journey: what stage is your organisation in?

Based on where your organisation is in the AI journey, Ciphix can support with appropriate solutions. Choose the building block that fits your situation and discover how AI can get to work for your organisation.

Phase 1 – Foundation: setting strategy and direction

You’ve heard of AI, but haven’t taken any concrete steps yet. This phase is all about understanding what AI can do for your organisation and what opportunities there are to get started.

Many companies feel the urgency to get started with AI, but do not take enough time to make fundamental choices. AI is not an end in itself, but a means to create value.

To provide direction on this, Ciphix begins with a strategy assessment that focuses on the following questions:

• What are the goals of our organisation?
• What hinders us from being successful?
• How can we use technology to differentiate ourselves from others?
• What do we use AI for: employees or customers?

Format: two to three workshops
Goal: A clear AI strategy and a concrete action plan
Involved: senior leadership

Phase 2 – Readiness: data as the basis for AI

You are ready to take the first steps with AI, but – like many other organisations – you notice that the quality of the data is not yet optimal. This need not be an obstacle. This phase is all about improving data quality and accessibility. After all, a strong foundation is essential, because AI is only as good as the data it uses.

Ciphix has developed a method to assess data quality and accessibility. This maps:

• Data quality and management in relation to the specific use case we are working on.
• What steps are needed to make the best use of data for AI.
• A blueprint for an efficient data infrastructure.

Format: four weeks
Goal: Understanding data quality and a plan for improvements
Involved: IT, data teams and management

Phase 3 – Identification: finding the right AI applications

You have concrete ideas, but are not yet sure where to start. Such as:

• You have identified where the pain is in the process, but how to proceed?
• You are inspired by use cases that are about your department and want to take next steps
• Your department needs to become 30% more efficient, but now you need to start pulling up the potential

Not every AI application provides immediate value. It is essential to select the right use cases. Ciphix helps organisations at this stage with:

• Inspiration from successful AI implementations within various industries.
• Identification of high-potential AI use cases within the organisation.

Format: two to six weeks
Goal: To identify the most valuable AI applications
Involved: leadership, management and subject matter experts

Phase 4 – Development: from concept to working solution

You know what you want, but need implementation support. The fastest way to land AI within your organization is to demonstrate a working solution immediately. That’s why Ciphix offers an “AI in a Week” program, which allows companies to see results quickly and then scale up.

Possible AI solutions:

• AI agents that automate repetitive tasks.
• Document processing and advanced data analysis.
• AI integrations within your existing applications, with which we instantly add smart functionality so that your current software immediately works more efficiently and smarter.

Format: one to six weeks
Purpose: development and implementation of AI solutions
Involved: management and domain experts

Phase 5 – Enablement: AI knowledge and skills within the organisation

You already have AI solutions running, but find that your colleagues need support. The Personal Data Authority emphasises that companies are responsible for educating employees on AI. Ciphix supports this with an AI training program that helps organisations work responsibly and effectively with AI.

Approach:

• Classroom and online AI training focused on practical application.
• An ongoing learning program to increase AI literacy within the organisation.

Format: one week of initial training followed by continuous education
Goal: Increase AI skills within the organisation
Involved: all employees

AI In Action at Ciphix

At Ciphix, AI is not only about advice, but also about application. With the in-house AI Pressure Cooker, we ensure that both our own team and our customers stay up-to-date with the latest developments.

Want to deploy AI effectively within your organisation? Find out how we can help and contact us!