AI Consulting for Your Company: Boost Productivity, Reduce Risk
Artificial intelligence offers enormous potential, yet many companies fail to integrate AI meaningfully into their processes and everyday work. That is exactly where our AI consulting comes in. We combine technological implementation with professional change management and support you from the AI strategy all the way to lasting adoption across the company. The result is measurable efficiency gains, and AI becomes a growth driver for your organisation.
Our Clients
What is AI consulting?
Professional AI consulting helps companies use the potential of artificial intelligence strategically. It identifies profitable use cases and ensures that all compliance requirements are met in operation. We always combine this consulting with proven change management methods. Because a new technology only takes effect through the acceptance of your employees.
AI Consulting in 6 Steps – How We Make AI Successful in Your Company
A successful AI rollout does not begin with picking a tool, but with a clear understanding of your business processes and goals. That is why we follow a holistic consulting approach in six steps. Most providers only cover a slice of it: sometimes the technology, sometimes the training, sometimes compliance. We map the entire project chain – and we support all of it.
From AI strategy through data cleansing, systems engineering, change management and training to compliance and ongoing operation, everything comes from a single source. The result: AI solutions that are actually used in everyday work and create measurable value.
01 AI Strategy Consulting
Read more: AI Strategy Consulting
02 Data analysis, model training & AI tool development
Read more: Data analysis, model training & AI tool development
03 AI implementation incl. change management
Read more: AI implementation incl. change management
04 Training, coaching & workshops
Read more: Training, coaching & workshops
05 Governance, compliance & data protection
Read more: Governance, compliance & data protection
06 Support & continuous transformation
Read more: Support & continuous transformation01 AI Strategy Consulting
Many companies see the potential of artificial intelligence, but lack a clear strategy: where does AI create the greatest value? Which existing processes can sensibly be automated? What data quality is required to achieve reliable results? Which data protection requirements have to be taken into account?
With a clear AI strategy you make confident decisions and seize your opportunities. We help you sharpen your objectives, identify potential and develop a realistic roadmap.
How our AI strategy consulting helps you achieve measurable results for your business, fast
02 Data analysis, model training & AI tool development
AI only creates value once data is used properly, models are trained deliberately and tools are integrated into processes. Tailored applications draw on your company knowledge, recognize patterns in data and learn from feedback which of them matter. This way AI supports well-founded decisions, optimizes workflows or steers processes semi-autonomously. In the end it remains a human task to decide about trust and intervention.
1. Data as the foundation
Without high-quality data every AI remains ineffective. For AI to recognize patterns and learn from them, the underlying information has to be complete, current and consistent.
1. Data as the foundation
This concerns not only classic databases, but also unstructured content such as e-mails, reports or contracts. Enormous potential is often hidden there: an AI can make the knowledge in documents usable by surfacing connections that previously stayed invisible.
2. Clear goal definition
An AI model can only be as good as the goal it is given. That is why it is decisive to define from the outset which business questions are to be answered and which workflows are to be improved.
2. Clear goal definition
It is just as important to formulate concrete use cases: should the AI make decisions based on data, make processes more efficient or personalize customer offers? With precise questions, our experts ensure a clean goal definition. That saves time and speeds up the path to better results.
3. Iterative model training
AI models are not one-off projects. They have to be fed with new data, tested and improved continuously. Only then does a learning system emerge that adapts to change.
3. Iterative model training
User feedback plays a key role here: the AI recognizes patterns which your employees then rate as useful or not useful. Step by step the system learns to identify the patterns that really matter. To achieve continuous improvement, our methodology therefore relies on agile training loops and fast adjustments.
4. Technology architecture
One essential building block is the decision whether a standard solution is sufficient or a tailored development makes sense. There is also the question whether the solution should run as software as a service or on premise.
4. Technology architecture
All options have to be assessed in terms of security, flexibility and cost. What matters is that the architecture supports your corporate goals, integrates into your processes and meets the highest security requirements. Our experts guide you in selecting suitable vendors and features – for a solution that convinces today and stays viable over time.
“Only with high-quality data and clear goals does AI deliver reliable results and real business value.”
Diana Herr, Senior Manager at CPC
03 AI implementation incl. change management
A successful AI implementation only works when technology and people play together. Systems have to adapt to their users and at the same time integrate seamlessly into processes. It is equally important to involve employees and actively shape change – because without change there is no lasting success.
1. User-centric adaptation
An AI is only accepted when it is oriented towards people.
1. User-centric adaptation
Large language models have to deliver answers that are understandable, precise and relevant. Only when your employees feel that the AI speaks their language and takes their needs into account does trust emerge. Acceptance is therefore the first step towards real value.
2. Process and system integration
AI only becomes productive once it is embedded into existing processes and IT systems.
2. Process and system integration
Then automations, chatbots or machine learning models take effect in everyday work and unfold their full impact. Employees experience direct relief and noticeable efficiency gains. We make sure AI solutions do not remain isolated, but become part of your business model.
3. Establishing new routines
For AI solutions to take effect in everyday work, they have to become a firm part of daily ways of working.
3. Establishing new routines
Employees need clarity on how to use the systems and how to supply them with data. Only through this active involvement does a culture emerge in which AI is not experienced as a foreign body, but understood as support and a useful tool.
4. Change & acceptance
Technology alone is not enough – change has to be actively supported.
4. Change & acceptance
With communication and the involvement of all levels we create acceptance and motivation. We take up resistance constructively and use it as an opportunity to shape the solution more precisely. This creates a climate in which employees adopt and keep developing AI solutions.
“Technology alone is not enough. Only through change and acceptance does AI become the engine of lasting transformation.”
Oliver Kleinknecht, Partner at CPC
04 AI training, AI coaching & AI workshops
To many people AI looks like a “black box”. That sense of opacity creates uncertainty or risky solo efforts. That is why our consulting rests on three things:
Foundational knowledge – about the mechanisms behind AI technologies and the solutions used in the company
Understandable guidelines – to answer clearly: what is allowed with AI – and what is not?
Leadership capability – because AI needs role models who provide orientation, take fast decisions and encourage openness to experiments. We prepare leaders for their future role and enable them to act as active role models.
To make AI tangible in everyday work, we train AI scouts. They support colleagues directly and answer practical questions about using AI. We also offer AI training for employees and leaders. You can find out more about two of our most popular training formats here:
ChatGPT licence
Employees use AI tools such as ChatGPT. Alongside many opportunities, this creates new compliance risks for your organization …
Read more: ChatGPT licence
Rolling out Microsoft Copilot
Companies want to use Copilot, but the AI tool carries data protection risks and loses its value without the right approach …
Read more: Rolling out Microsoft Copilot05 Governance, compliance & data protection
Governance, compliance and data protection form the basis for the responsible use of AI. We support you in meeting legal requirements, establishing clear guidelines and strengthening trust in your systems. This creates certainty and transparency – both for your company and for your employees and customers.
1. GDPR-compliant use
We make sure your AI applications reliably meet the requirements of the GDPR.
1. GDPR-compliant use
From secure collection to transparent processing of your data, we create the necessary clarity and structure. This reduces legal risks and builds trust among employees and customers. That way you use artificial intelligence in a legally sound and responsible manner in your company.
2. Guidance on the AI Act
The AI Act brings new requirements that are hard for many companies to see through.
2. Guidance on the AI Act
We help you understand the rules and apply them to your practice in a targeted way. This ensures your AI systems are operated in a legally sound manner. At the same time you create a framework that enables innovation and security in equal measure.
3. Clear governance models
Together with you we develop governance structures that define clear roles, responsibilities and processes for the use of AI.
3. Clear governance models
Complemented by binding ethics guidelines, a stable foundation for responsible decisions emerges. That way you ensure AI applications are used not only efficiently, but also fairly and transparently. Such a framework strengthens the acceptance of your solutions in the long run.
4. Dealing with bias
Bias in AI models can distort results and weaken trust in the technology.
4. Dealing with bias
We show you methods to detect, reduce and document bias systematically. This increases the transparency of your models and lets you interpret results with more confidence. It strengthens both the credibility of your systems and their acceptance among employees and customers.
“Responsible AI needs clear rules. We create governance, transparency and trust in your systems.”
Milena Pein, Manager at CPC
06 AI support & continuous transformation
AI technologies are developing at a rapid pace – new applications appear almost daily. For classic IT teams it is an enormous challenge to keep track and keep systems up to date. That is why continuous support, targeted maintenance and the further development of AI solutions are decisive for long-term success. Our consulting makes sure your organization benefits from the latest technologies and always keeps a competitive edge.
1. Monitoring & impact measurement
A sustainable use of AI needs transparency and clear metrics.
1. Monitoring & impact measurement
We establish monitoring that not only reflects the status quo, but also reviews the effectiveness of the systems regularly. This makes progress clearly traceable and lets you implement optimizations early. Your AI solution therefore stays reliable and aligned with business success.
2. Further development & tool evolution
The AI industry is moving fast – what is innovative today can be outdated tomorrow.
2. Further development & tool evolution
We keep track for you of whether developing existing tools further is worthwhile or whether a switch to new technologies makes sense. That way we make sure you always work with the most capable solutions and achieve the greatest possible benefit. Our consulting creates a well-founded basis for your technological future.
Which AI Solutions We Implement Together with You
Many companies start AI projects with a technical question: which solution is the right one? Our experience shows the decisive question is a different one: how is AI actually used by employees in the company? That is exactly where our strength lies. We combine AI consulting with more than 30 years of experience in transformation and change management.
Which technology is used in the end is decided together with you in step 02 – data analysis, model training & AI tool development. There we clean your data, select or build the right AI tools and train the models on your use cases. Because it is this work that decides whether a solution delivers reliably in everyday operation. Typically four kinds of solutions emerge from it:
Knowledge assistants and chatbots
Development of secure assistants that make internal expertise accessible and usable in a targeted way. Your employees find in seconds what used to take them a long search.
Automated AI agents
Development of intelligent agents that process complex documents and workflows autonomously. AI takes over entire work steps and frees up time for your teams.
Your own enterprise GPTs
On request we set up your own language model on your servers. We select the right model, connect it to your company knowledge and put it into operation. Alternatively you use selected LLMs in a protected Azure environment – with high security standards and EU data processing, as far as the model and deployment type allow.
The AI workplace for the entire workforce
Many companies have already licensed AI tools, yet adoption stays behind expectations. We create clear guardrails, clean up permissions and anchor everyday use cases in the teams. That turns existing licences into a measurable productivity gain.
Integrating AI Successfully into Everyday Work — Change as the Success Factor
Technology alone changes no company. Lasting impact only emerges once employees understand what AI does for their daily work. This is exactly where our approach differs from purely technical implementation partners: we treat AI consulting not as an IT project but as a change process. Because new AI solutions change ways of working and processes, roles and responsibilities, collaboration between teams as well as decision paths and leadership. That is why we support your organization with professional change management from the very start.
We help you win over leaders as active drivers of the change, involve employees early and teach new ways of working in a hands-on manner. Through targeted communication, training, workshops and activating formats we build acceptance and make sure a technical solution turns into real business impact. The result: high user acceptance, fast adoption in everyday work and a lasting anchoring of the AI solution.
Typical Challenges in AI Projects — and How CPC Solves Them
In AI consulting we encounter recurring challenges. We know them from numerous projects and have developed solution approaches proven in practice.
Challenge 1: Building a solid data foundation
Many companies launch AI initiatives and only discover data gaps once the project is under way.
Our solution:A structured AI readiness assessment stands at the beginning of every project. We analyse the data situation, identify gaps and develop a prioritised action plan.
Challenge 2: Involving employees
AI projects often create uncertainty in teams at first.
Our solution:Change management is an integral part of every project phase. Employees are involved early, informed transparently and experience AI as concrete relief in their day-to-day work.
Challenge 3: Unclear ROI and investment uncertainty
The economic benefit of AI investments is often not tangible for decision-makers.
Our solution:Every project starts with clearly defined goals and KPIs. We measure the time, cost and quality effects continuously. That way you invest with a high degree of certainty and transparency.
Challenge 4: Compliance and data protection risks
Using AI demands secure data, clear rules and protected technology.
Our solution:We build an AI governance framework with clear guidelines and roles. This way we meet the GDPR and use secure systems, mostly with EU data processing.
Challenge 5: Building internal AI capability
Without internal know-how, the benefit of AI remains limited.
Our solution:Through targeted training and an AI academy we enable your employees. The goal is sustainable, independent use of the technology within the company.
Challenge 6: Cooperation across all departments
AI projects require close collaboration between IT, HR, data protection and the business units.
Our solution:We act as a moderating sparring partner across all areas and foster coordinated, goal-oriented collaboration among all stakeholders.
Why CPC? Holistic AI Consulting for Sustainable Success
Successfully introducing artificial intelligence takes more than pure programming. Only the interplay of technology and organization secures your long-term project success.
The complete project chain
Strategy, data, system build, change, training, compliance and operations all come from one source.
Top expertise
We combine deep AI competence directly with leading methods for change in your company.
Over 2,500 successful projects
For more than 30 years we have partnered with mid-sized companies and DAX corporations on comprehensive change and transformation.
Provable value (ROI)
We focus exclusively on solutions that noticeably and measurably ease your everyday work.
Secure data sovereignty
Our approach supports GDPR-compliant solutions on secure EU servers and reduces potential data risks through appropriate technical and organizational measures.
Fast added value
You benefit immediately from proven solutions – without long onboarding or building up internal capability.
Secure your clear competitive advantage now through the targeted and safe use of modern AI systems. We accompany your organization from the first analysis to independent use in operation. Arrange your personal initial consultation for your tailored AI consulting today!
KIxChange: Your Exchange of Experience as Equals
Twice per quarter, KIxChange brings experts and practitioners together. The format examines the design and implementation of AI systems from different perspectives. Three guiding questions structure every event:
- What does your company need for a successful and sustainable AI rollout?
- How do you avoid unwanted effects on culture and processes?
- How do you anchor the change so that it really lasts?
Decision-makers gain practical insights and a direct exchange with like-minded peers.
Publications
If you would like to know more about AI, feel free to get in touch with us. Our following expert articles offer further insightful reading:
“With AI consulting from CPC, companies put people at the centre and strengthen their business as a result.”
Cornelius Klingel, Manager at CPC
We're grateful for these awards
- CPC is a five-time No. 1 Hidden Champion for change management
- Year after year, brandeins/thema names us Germany's best management consultancy for change management
- We have been a Focus Top Consultant for many years
- Winner of the HR Excellence Award and the European Training Prize together with Deutsche Telekom and Lufthansa Technik
- We are No. 1 Great Place to Work in the 51–100 employees category and a Kununu Top Company.
Let's discuss
your project with us!
The first step is easy — and don't worry: we won't send you dull newsletters or annoying promotional emails. Instead, we focus on what matters: your change goals and how we can move your business forward.
Step 1
Call back or email.
Within 24 hours we get in touch with you, capture your requirements and arrange an appointment with one of our experts.
Step 2
Free initial consultation.
In a video call you explain your project and discuss possible solution scenarios together with our expert.
Step 3
You decide how to proceed.
Proposal, pitch or project kickoff? You set the next steps.
Still have questions about AI consulting?
AI consulting pays off for companies of every size, especially where there are many recurring tasks, large volumes of data or high pressure on efficiency. Typical areas of use are marketing, customer service, sales, internal processes and document processing. Smaller companies benefit too when they want to find out specifically where AI adds real value and where conventional solutions are the better fit.
That depends on the scope. An initial analysis can be completed within a few days or weeks. Strategy, concept and pilot phase often take several weeks to months. If technical implementation, training and integration into existing systems are added, the project takes longer.
The cost depends on scope, objectives and complexity. Small analyses and workshops are usually less expensive than comprehensive strategy consulting or technical implementation. We calculate transparently by service package and project scope. What matters is always to weigh the price against the expected benefit, such as time savings, quality gains or process automation.
Your own data is helpful, but not always essential. For some use cases, process knowledge, business requirements and clearly defined goals are enough to identify first opportunities. For productive AI solutions, however, good data is important, because quality, availability and structure strongly influence the results. As part of our AI consulting we therefore check from the outset which data foundation is in place.
Data protection plays a central role in AI consulting, especially when personal or sensitive company data is processed. We therefore check which data may be used, how it is processed and which security measures are required. This reduces legal risks and makes it easier to meet internal requirements.