Cepheo's AI implementation principles
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Business-driven focus
Our AI approach targets real business needs to create tangible value, not just innovation.
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Explorative approach
We explore AI with our customers, focusing on small successes and shared learnings, and involving the organization at every step
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Seamless AI integration
Our AI solutions work seamlessly with existing Microsoft Dynamics 365 systems, ensuring smooth adoption.
Read AI use-cases from companies across Scandinavia
AI-powered data cleanup boosts efficiency and reporting accuracy
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By using AI to detect duplicates and naming-inconsistencies across more than 45,000 product records, a Swedish industrial manufacturer is now on track to streamline their inventory, improve reporting and reduce manual data maintenance.
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The challenge
The company, which delivers customized technical solutions and components to industrial customers across several sectors, wanted to improve the quality of its product master data. While their data was stored on a modern cloud platform, duplicate entries, missing attributes and inconsistent naming made it harder to maintain accurate records.The solution
Working together with the customer, we implemented an AI model tailored to identify and flag common data quality issues. The model detected approximately 2,000 duplicate records and another 2,000 that didn’t follow the company’s internal naming conventions.
This provided the customer with a reliable foundation for data clean-up that is faster and more efficiently than a manual review could offer.
The long-term value
Better master data means that the customer can reduce inventory levels, simplify product structures for engineers and sales, and trust the accuracy of data used in reporting. The AI model can also be expanded to fill in missing information and proactively maintain data hygiene going forward.
AI support agent enhances ERP scalability and customer satisfaction
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To improve support quality and scale operations, a Swedish provider of Dynamics 365-based business software has introduced an AI-powered support agent that delivers faster, more consistent responses and lays the groundwork for future growth.
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The challenge
With over 1,000 local partners, the customer needed to deliver efficient support at scale while maintaining high customer satisfaction. Relying solely on manual processes made it challenging to meet the growing demand and ensure consistency.The solution
Built on Microsoft Azure, the AI implementation includes a support agent that is accessible via phone and computer. It uses step-by-step visual guides from the customer’s knowledge base, supports multiple languages and continuously learns from historical support tickets. An automated evaluation system ensures response accuracy.The long-term value
The pilot implementation has already shown great potential to handle a significant volume of support queries and deliver fast, high-quality assistance for end users. So when it is rolled out to local partners, it is expected to enable measurable improvements across key KPIs.
In short, the customer now has a scalable, AI-supported foundation to help grow its support offerings without compromising service quality.
AI automation accelerates categorization of customer service requests
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By automating the categorization of thousands of monthly service inquiries, a large Danish company has improved response times, increased data quality and freed up valuable agent capacity without changing the customer experience.
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The challenge
The company manages customer service across four business areas and receives a high volume of inquiries each month. Previously, requests were categorized manually, which was both time-consuming and inconsistent. This affected response speeds and limited how effectively service data could be used for ongoing improvements.The solution
To address this, we worked with the customer to implement an AI-powered solution using Power Automate and an Azure-hosted GPT model. This AI implementation automatically identifies the focus of each inquiry according to predefined topics and links the enquiry to the relevant business area, enabling consistency, better routing and faster resolution.Importantly, the solution works behind the scenes, so customers can still submit requests as usual, while agents benefit from more accurate classifications and spend less time interpreting vague or unclear requests.
The long-term value
Manual categorization has been significantly reduced, internal assessments show improved classification precision, and the customer now has a stronger data foundation to support future AI-driven service innovation.
AI automation of purchase-order process without overhauling existing systems
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A Norwegian service company with over 150 locations and 8,000 employees has automated its purchase order handling to reduce manual workload and accelerate operations without needing to replace its ERP set up.
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The challenge
The customer received purchase orders in a variety of unstructured formats, requiring manual sorting, interpretation and data entry into Microsoft Dynamics 365 Business Central. This process was time-consuming and resource-heavy.The solution
Together with the customer, we implemented an AI use-case using Microsoft Copilot and Azure AI to automatically read, process and structure purchase order data directly in the existing ERP system. This AI implementation fit seamlessly into daily workflows.The long-term value
Manual entry was eliminated, data accuracy was improved and processing time was reduced – all without disrupting business or requiring major system changes. The result is a more efficient and scalable process that supports both current operations and future growth.
AI-powered Copilot enhances customer service at Cepheo
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By embedding Microsoft Copilot directly in Dynamics 365, Cepheo has deployed an effective AI use-case that improves productivity, reduces routine work and enhances service quality without the need for custom development.
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The challenge
Cepheo wanted to accelerate response times and knowledge sharing in customer support without the need to invest in custom tools for Microsoft Dynamics 365.The solution
Through standard AI automation with Microsoft Copilot, agents now receive help drafting emails, scheduling meetings and translating content. Copilot also generates summaries and knowledge articles by analyzing past cases, speeding up case resolution and knowledge transfer.The long-term value
Support agents now spend less time on administrative tasks and more time helping customers. This AI implementation has resulted in immediate productivity gains, improved collaboration and stronger service outcomes by leveraging tools that are already available in the Microsoft Dynamics 365 ecosystem.
Talk to an expert about your opportunities with AI solutions from Cepheo.
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John T. Hummelgaard
Sales Director, Denmark
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Patrick Bubicic
Sales Director, Sweden
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Lars Erik Lindhjem
Sales Director, Norway
