From setting or refreshing your cloud strategy, modernising legacy applications or developing new cloud native applications, optimising cloud costs, elevating cloud compliance and security, managing cloud workloads or implementing new innovative cloud technologies such as GenerativeAI, our end-to-end solutions harness our industry know-how combined with our cloud transformation and engineering excellence.
- AI/Automation
- Cloud strategy
- GRC and Cyber
- DevOps/DevSecOps as a service
- Cloud Landing Zones
- Site Reliability Engineering (SRE)
- Application Modernisation (KAMM)
- Cloud Native App Development
- Cloud Financial Optimisation (FinOps)
- Cloud Target Operating Model and Centre of Excellence
- Modern Hosting

AI/Automation
The opportunities with AI/GenAI are immense and the implications of AI within the enterprise are wide ranging and transformative. We view AI as an enabler for your business, combining our functional expertise with a deep understanding of your industry to ensure long term success. KPMG, working along with our partners, are at the forefront of AI adoption, building capabilities that enable front, middle, and back office functions the can be used as a source of inspiration for you to determine the “art of the possible”.
We have developed a comprehensive Framework with controls, processes and tools to ensure AI systems are being designed and deployed in a trustworthy and ethical manner, allowing companies to accelerate value.
Our teams will define the necessary Infrastructure, Architecture and tooling strategy for (Gen)AI implementation, from rapid sandboxes through to full production environments, incl. Security and Privacy implications across data sourcing, storing and use.
By applying KPMG’s Gen AI frameworks and accelerators, we can:
- Perform maturity assessment of your environments across six dimensions – vision & strategy, people & culture, processes, data management, technology & tooling and governance risk & ethics using KPMG AI Readiness Assessment framework.
- Design a scalable and flexible infrastructure to support computational demands of GenAI app leveraging our accelerators like KPMG Cloud Deployment Model and KPMG Azure Engine.
- Incorporate encryption techniques for data at rest and in transit and ensure regulatory compliances leveraging.
- Implement appropriate backup solutions that will include integrity monitoring and malware analysis.
- Configure monitoring and alerting systems in alignment with the threat vectors to AI capabilities.
- Handle the associated risks posed by generative AI, including trust, compliance, security, privacy and ethical concerns through KPMG Trusted AI practice. Develop playbooks in the context of the cyber threat that will manage the response, restoration and remediation of AI capabilities.