The paradigm shift in software development and maintenance

The use of generative AI has brought about a paradigm shift in software development and maintenance (Application Development and Maintenance): The transition from “legacy sourcing” – that is, traditional IT operating and procurement models – to AI-driven agility. This transformation enables companies to significantly reduce their costs in software development and maintenance.

Our latest white paper „Transformation and Cost Optimisation for Software Development and Maintenance: From Legacy to AI-Driven Agility“ describes this paradigm shift and the opportunities it opens up for companies.

Ready to talk?

Contact us

Download the Whitepaper now (in German only)

picture_as_pdf

Whitepaper

From Legacy to AI-driven Agility

Our white paper explains how organisations can use AI to reduce their IT costs and automate development, operations and support processes.

Key messages from the white paper:

It is value that counts, not the number of staff

When the productivity of development teams increases significantly through artificial intelligence, the number of staff deployed becomesfor cost calculation. Instead of billing based on man-hours, modern contracts for software development and maintenance provide for results-based payment, where the business benefit takes centre stage.
Don’t just migrate – improve

It is no longer sufficient to simply move existing applications and processes to a new service provider (“Lift and Shift”). Genuine savings in software development and maintenance are only achieved when legacy technical issues and inefficient structures are modernised and streamlined at the same time (“Fix and Shift”).
Fewer staff, but more experience

In the age of AI, efficiency is no longer achieved with large teams. With smaller, highly qualified teams and a higher degree of automation, costs for software development and maintenance can be significantly reduced.
Contracts should take the benefits of AI into account

When entering into long-term IT contracts, companies should ensure that the efficiency gains achieved through AI in software development and maintenance are passed on to them over the term of the contract. In the absence of such provisions, there is a risk of paying more than the market rate for services.

Download our white paper now and find out,

how the use of artificial intelligence is already impacting productivity and costs in software development,
which market trends and benchmarks confirm the changes in the field of application development and maintenance,
what requirements for governance, transparency and control arise in an AI-driven environment, and
what considerations companies should take into account on their journey towards sustainable software development and maintenance.