Securing and building on the genuine added value of AI transformation
Following their first successful pilot projects, many companies face a crucial hurdle: how do they turn an isolated, stand-alone solution into a sustainable, company-wide capability? The move to large-scale deployment is often the most difficult part of AI transformation. This is where it is decided whether investments in artificial intelligence will make a measurable contribution to the company’s success or end up as mere technical experiments. This is precisely where our ‘Evaluate & Scale’ approach comes in. We help you to objectively assess the effectiveness of your applications in real-world working environments – and to roll out, in a controlled manner, those solutions that have been proven to save time, reduce costs or improve quality.
“AI only realises its true potential when proven solutions can be rolled out across the entire organisation – securely, and with measurable impact.”
How you can benefit from our Evaluate & Scale services
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From individual solutions to widespread AI deployment
The transition from pilot projects to production use is challenging for many organisations, as it involves entirely different requirements. Whilst technical feasibility is often the main focus in the initial phase, issues such as company-wide SLAs, operational reliability, maintainability (lifecycle management) and long-term value creation come to the fore during scaling.
A key success factor here is integration into the existing IT landscape and corporate culture. Successful scaling relates not only to the technology, but also to the workforce’s trust in the new tools. Through clear metrics and transparent decision-making processes, we help you scale AI solutions so that they become reliable components of the value chain.
How we support you with AI evaluation and scaling
- Assessing impact
- Value Tracking & KPI Cockpit
- Scaling successful use cases
- Establishing repeatability
Assessing impact
Validation of benefits, stability and user acceptance as a solid basis for further roll-out
Before a solution is rolled out on a large scale, it must prove itself in everyday use. We investigate whether the implemented applications actually deliver the expected business benefits – be it time and quality gains in specific processes or clearly quantifiable cost reductions. The focus is as much on the reliability of the results as on acceptance by staff. Only when an application runs stably and is readily used in day-to-day work is it ready for scaling.
Value Tracking & KPI Cockpit
Making AI successes traceable and measurable to manage investments more precisely
To ensure that artificial intelligence remains manageable, we implement an AI dashboard that seamlessly links technical metrics (e.g. API costs) with business KPIs (e.g. process acceleration). This tool provides you with full transparency at all times regarding the status, usage and added value achieved by all projects. You gain a robust basis for prioritisation and future investment decisions. This makes your expenditure not only traceable but also easier to manage.
Scaling successful use cases
Successfully transferring solutions to other user groups, processes or departments
We help you roll out tried-and-tested applications across your organisation in a controlled manner. In doing so, we ensure consistent guidelines for operations, quality assurance and governance. Depending on your needs, we support the roll-out to additional user groups or further locations and ensure that your AI solutions scale securely and in a structured manner.
Establishing repeatability
Development of blueprints and routines for efficient follow-up steps and faster implementation
Drawing on the experience gained, we develop clear, reusable templates for your organisation. These blueprints include technical templates as well as tried-and-tested process models and defined responsibilities. This standardisation ensures that every subsequent AI use case is implemented more quickly, more efficiently and with significantly lower risk. You benefit from routines that enable your organisation to meet new requirements in less time and to the usual high standard.
Frequently Asked Questions
“The transition from a pilot project to large-scale implementation is key to the success of the AI transformation.”
Nico Reichen,Partner at PwC Germany
AI-Kickstart-Workshop – Book now!
Set priorities. Assess potential. Achieve measurable added value. We help you set the right course for a successful AI transformation right from the start. Our AI Kickstart Workshop provides clarity: together, we assess where AI delivers real added value, what is realistically achievable and how you can get off to a sensible start.
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