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Designing efficient processes

AI brings old processes up to speed

The zeb approach for efficient processes

The challenge

Becoming efficient, staying fit for the future

In the past, banks and financial services providers were quite successful in optimizing their processes through step-by-step improvements or partly even through radical reorganization measures – this established their reputation as a pioneering industry in the field of IT. But nothing lasts forever: in order to regain momentum and reduce frictional losses in the value chains, banks must optimize their processes in a targeted manner using modern methods. If they don’t, they will fall even further behind their digital competitors. 
Compared to other areas, especially the middle and back office still have significant potential to secure their performance and thus future viability. In this context, they should not only focus on technology, but also on breaking down barriers and preparing the ground for transformation.
To achieve competitive speed and efficiency, organizations need to intelligently automate their processes and make them part of the collective subconscious. Artificial intelligence and data analytics are perfectly suited to getting processes up to speed. An organization’s existing training plan can be intelligently expanded by automating more and more processes and intermediate steps that were previously performed manually.

AI and data analytics: advantages of optimized processes

  1. Shorter lead times: automated processes are faster. Moreover, they work on a 24/7 basis – regardless of the workload. According to our experience, intelligent automation can reduce lead times by 60 to 80 percent.
  2. Reduced costs: robots and AI complete more tasks in less time and thus also save costs. Our projects show that investing into bots pays off within the first year.
  3. Higher process quality: robots and AI methods don’t get distracted. Through permanent focus and without a learning curve, process quality can be increased in the long term.
  4. Greater employee satisfaction: robots and AI free your employees from monotonous and repetitive tasks. This strengthens the organization in the fight against the shortage of skilled workers.

Training stations for process excellence

Five application scenarios for AI methods

 

Our training plan for processes

  1. Test bench: First, we want to get to know your organization and your goals: would you like to try out intelligent automation first or directly deploy it across the board? What pain points do you need to eliminate: high costs, long processing times, low process quality? What are the specific conditions at your institution?
  2. Process selection: Once we have a profound understanding of your situation, we can analyze which of your processes are well suited for automation using AI. To achieve this, we use our process automation map, which was developed specifically for this purpose.
  3. Solution approach: We help you select a suitable solution approach. Are the processes to be reorganized or automated? Which automation software should be used? Do AI models have to be developed in-house or can they be purchased?
  4. Implementation: The selected processes are then optimized. In doing so, we collaborate closely with your staff to achieve a knowledge transfer.
  5. Scaling: Are you satisfied with the outcome and ready to roll out intelligent process automation more widely? That makes two of us. We are happy to provide you with holistic support – from technology and personnel development to organization and governance.

Feel free to contact us

AI is not a question; it is the answer to profound changes in the market for financial services providers. Do you want to make your processes more efficient? We look forward to helping you tackle your challenges!