Work Automation

Work Automation

The intelligent workplace: empower your workforce with AI

Empower employees at the moments that matter to them throughout their career.

Leverage the power of chatbots to empower your employees with more personalised experiences at the moments that matter to them and optimize HR processes using automation (e.g. RPA) and AI.

customer stories

Modern and productive user experiences integrating Microsoft Teams & SAP

Supporting your employees by bringing the existing support processes into their digital workplace

Leverage investments in your back-office processes and digital workplace tools. Bring integrated user experiences to employees and extend your supporting processes with modern collaboration tools.

we empower your employees and reduce the cost of employee-centric services by automating manual tasks and increasing efficiency and productivity

Our work automation technologies

We combine the best of both worlds by integrating Microsoft and SAP

We integrate extensively with Microsoft and SAP systems to deliver the most complete user experience.

The main components of our solutions are:

  • Microsoft Office 365 (SharePoint, O365 Groups, MS Teams, MS Power Apps, MS Power Automate,...)
  • Microsoft Azure (AAD, Web Apps, Cognitive Service, Bot Framework, Search...)
  • SAP ERP, CRM & HR systems


More info? Ask Serge

Manager People Workhub

contact Serge Desaranno on Linkedin

it's my passion to guide organizations in their digital transformation journey, based on my managerial, consulting and technical experience

blog

From RPA to real autonomy (Agentic): How to choose the right automation and prove its value

Not all automation is created equal, and choosing the right level of automation and measuring its value effectively can make the difference between a successful transformation and a costly misfire. This document explores the three core levels of automation, Traditional Automation (RPA), AI-Assisted (Copilot), and Agentic AI (Autonomous Agents), highlighting their strengths, limitations, and key value metrics.
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Klarna Experiment: Real-World reflections on Agentic AI deployment

Klarna, a global fintech leader, launched an ambitious AI initiative to automate its customer service operations across 23 markets and 35 languages. Partnering with OpenAI, Klarna deployed an AI assistant that handled over 2.3 million customer conversations in its first month, equivalent to the workload of 700 full-time agents.
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The state of genAI at Microsoft, SAP, Salesforce and OpenText

To say that generative AI (genAI) evolves rapidly is an understatement. Keeping track of everything that’s happening can be overwhelming and time consuming. At the same time, you need to have a basic idea of what’s out there, or you risk falling behind. Luckily, our AI experts Wouter Labeeuw and Pieterjan De Schrijver did the heavy lifting for you.
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GenAI in Finance: how to ensure governance and maximize returns

Driven by AI, finance departments are pivoting from traditional analysis to a more streamlined, automated approach that focuses on planning, risk management, and strategic decision-making. But that’s not the only way in which AI and genAI are changing work for finance teams. The CFO, together with the CIO, also plays a key role in AI selection, adoption, and governance.
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