In the era of artificial intelligence (AI), the possibilities are endless—unlocking untapped value, driving constant innovation, and exploring new frontiers. Especially with a trusted expert by your side.
Our AI services cover every step of your journey, empowering you to harness AI's full potential. From strategy to implementation, from small wins to tackling the toughest challenges—always grounded in trust.
Ready to explore what’s possible? Let us show you how.
AI Strategy & Transformation
A Data and AI Strategy establishes a vision, principles and high-level plan or roadmap that outlines how an organisation intends to leverage data and AI to achieve its objectives. A well-defined strategy aligns data and AI initiatives with the broader business strategy and support guide allocation of resources, investment and efforts in data and AI. Overall, the strategy acts as a guiding document that supports make informed decision about technology, priorities and operational improves to drive the broader strategic outcomes.
We’ll guide you along your transformation journey, from strategy to implementation. Reshape business models and value drivers, help design your data and AI organization so that you are ready to identify, build and deploy AI use cases in a sustainable way, creating long term value from it.
Our services include:
- Assess and benchmark current data and (gen)AI maturity
- Ideate and identify value-adding use cases
- Size the opportunity and threats to set (gen)AI ambition and goals
- Shape strategy and execution plan / roadmap tailored to your unique starting point and ambition
- Build business case with metrics and milestones to drive and monitor investments and value realization
- Define and implement future-state AI Operating Model
- Build AI culture and literacy to ensure long-term adoption
Trusted AI
To adhere to current requirements and prepare for future regulations, our Trusted AI solution helps you to embed clear guardrails across your organization and continually adapt to address new, evolving risks. With the right governance, policies, and controls, you can strike the right balance between being bold, fast, and responsible to accelerate the value of AI with confidence.
Our services include:
- Define key risk focus areas across structure, process, and controls, AI Risk maturity
- Risk management framework and risk-and-control matrix
- Shape roll-out plan and risk reporting model
- AI Act and regulatory compliance and transparency
- Verification and validation of solutions
- Audit of governance, operations, and solutions
- TPRM
- Governing AI Ethics, bias and fairness
The KPMG Trusted AI principles
Our approach to trusted AI includes foundational principles that guide our aspirations in this space, demonstrating our commitment to using it responsibly and ethically:
Values-driven
We implement AI as guided by our Values. They are our differentiator and shape a culture that is open, inclusive and operates to the highest ethical standards. Our Values inform our day-to-day behaviours and help us navigate emerging opportunities and challenges.
Human-centric
We prioritize human impact as we deploy AI and recognize the needs of our clients and our people. We are embracing this technology to empower and augment human capabilities — to unleash creativity and improve productivity in a way that allows people to reimagine how they spend their days.
Trustworthy
We will adhere to our principles and the ethical pillars that guide how and why we use AI across its lifecycle. We will strive to ensure our data acquisition, governance and usage practices upholds ethical standards and complies with applicable privacy and data protection regulations, as well as any confidentiality requirements.
Our Trusted AI framework is how we drive principles into practice
(Gen) AI Build & Deploy
We support you in practical roll-outs of technical AI solutions, from preparing the data environment and AI platform, over integrating third party solutions, to building and deploying tailored AI algorithms. Our data science approach targets tight integration with strategic goals and concrete business needs, aiming to generate value that is sustainable long after the first build project.
Our services include:
- Rapid technology assessment/planning
- AI platform and technology stack definition, Technology Roadmap, Data Roadmap
- Buy-vs-build support, procurement support, and customization of vendor solutions
- Experimentation and PoC, Building AI solutions and MLOps
- Model governance
- Deployment, creating monitoring approaches and systems, and maintenance definition
Ideation & Use-case selection
Find the best possible ways for Generative AI to change the things you do, and the way you work, through KPMG’s unique blend of User-Centric Design and AI savvy.
Efficient implementation
Quickly set up secure tools that unlock Generative AI technology in the most suitable way.
Validation & Monitoring
Create the right approaches and metrics, embedded in the appropriate governance, to ensure the application supports your needs adequately, now and in the future.
Ethics & Regulatory requirements
Find the right way to express your own ethical baseline for using Generative AI, and ensure compliance with existing and upcoming regulations, such as the GPDR and the AI Act.
Data Management
Capture and manage prompts, outputs, and reference datasets, necessary for evaluation of usefulness and trustworthiness, and for showing compliance with regulations.
User Feedback & Iterative growth
Create ways of capturing user feedback, and feed it back into your Generative AI application, improving its usefulness and trustworthiness.
GAI Governance
Create the right processes and roles to make the most out of the opportunities that GAI offers. This includes following up on rates of adoption, business value generated, and total risk created.
Explore
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