Our approach
Artificial intelligence must address a specific need and deliver measurable benefits. At Pepps, we analyse your processes, data and objectives to identify AI use cases that bring real value to your organisation.
We develop custom AI solutions and integrate them into your existing environment, including business software, ERP systems, CRM platforms and document management systems. We then select the most appropriate technologies based on your specific needs, available data and expected return on investment.
Our 5 areas of AI expertise
Conversational AI
Conversational AI solutions that understand natural language queries and respond using your organisation's information. Chatbots, AI assistants and generative AI make it easier to access data and support your teams in their daily tasks.
Workflow automation
Automated workflows that use AI to process information, perform repetitive tasks and transfer data between your systems. They help automate specific steps in your business processes and reduce the need for manual intervention.
Document AI & document management systems (DMS)
Document AI solutions to automatically read, classify and process your documents. Emails, invoices, contracts and business documents can be analysed to extract and structure relevant information, then integrate it into your document management system (DMS) or existing tools.
Predictive maintenance
Predictive maintenance solutions that analyse equipment data to detect anomalies and anticipate potential failures. They help improve maintenance planning and reduce unplanned downtime.
Image recognition
Image recognition solutions that automatically analyse photos and images to identify, detect or inspect specific elements. They can be used for quality control, inspection and visual analysis of your operations.
Our team
Expertise tailored to your AI projects
At Pepps, AI projects bring together expertise in project management, software development and data science. We assemble a team based on your specific needs, the data to be used and your existing technical environment.
Our specialists work closely with your business teams to understand their needs, test solutions and adapt them to the operational realities of your organisation.
Frequently asked questions about AI integration in business
Artificial intelligence can automate certain tasks related to email and document processing, information retrieval, sales processes, logistics, quality control and maintenance. The most relevant use cases depend on your company's processes, the data available and the expected benefits.
An AI audit involves analysing your existing processes, data and tools to identify areas where artificial intelligence can deliver tangible benefits. Pepps also assesses the project's feasibility and potential return on investment.
Yes. An AI solution can be integrated with an ERP system, CRM platform, business software or document management system. This integration allows AI to use existing data and perform specific tasks directly within the tools your company already uses.
Pepps develops and integrates a range of AI solutions, including conversational AI, workflow automation, document AI and document management, predictive maintenance and image recognition. These solutions can operate independently or be integrated with your company's existing tools.
Depending on the use case, artificial intelligence can reduce the time spent on repetitive tasks, improve information processing, minimise certain errors and support decision-making. The value of an AI solution should be assessed based on the specific process involved and the expected outcomes.
The ROI of an AI project can be assessed using indicators specific to the use case, such as time saved, the number of tasks automated, error reduction, productivity gains and improvements in operational performance. Pepps analyses these factors to identify projects that can deliver tangible value to your business.
Yes, depending on the project. Data from documents, business software, ERP and CRM systems, or other internal sources can be used by an AI solution when required for its operation. The availability and quality of the data must be assessed before implementing the solution.