If our AI capabilities feel more human, that’s because they are

Our AI labs provide a one or multi-day immersive experience, including an overview of AI principles and their impact on finance functions. We conduct AI simulation labs to advise clients explore AI capabilities and establish an organizational strategy with recommended next steps.

For our proofs of concept (POC) services, we advise clients in developing POCs for selected use cases. This includes initial use case design, technical design and architecture, prompt design and engineering, and output testing with implementation recommendations.

We assess the impact of AI on a client’s business model and core processes to develop a strategy for AI implementation. Our services include educational sessions, process discovery workshops, and working sessions with functional teams to identify and analyze potential use cases.

Our evaluation of a client's current state advises on identifying AI sources of value, estimate potential value and investment for each use case, and develop a prioritized, actionable roadmap. Within this roadmap, our clients will find a summary of key findings, recommendations, and advisable next steps.

We develop detailed plans and designs for AI adoption, tailored to the unique needs and constraints of the client's business. Our services include evaluating existing technical requirements, such as hardware, software, and data, to determine if a new solution is necessary. In collaboration with Deloitte alliance partners with Amazon Web Services, NVIDIA, and UiPath, we can assist with the technical setup and configuration of AI technologies.

Our guidance on data collection, cleaning, and management processes can ensure high-quality data for AI models. By conducting validation of AI technologies and offering training sessions for end-users and stakeholders, we aim to facilitate effective use of the implemented AI technologies.

We provide analytics on model performance and other key business metrics, such as hours saved or cost for the model. Our insights can inform clients about the impact and efficiency of their AI and machine learning models.

Additionally, we offer detailed reports and recommendations based on the analytics to guide clients in enhancing their AI strategies and achieving their business objectives.

By providing thorough risk assessments, we can evaluate an organization's exposure to AI-related risks and their current risk management strategies. We aim to offer actionable insights for informed decision and financial integrity through analyzing financial metrics and reporting risks associated with AI.

Our assessment of internal controls aims to better understand governance practices and identify opportunities for improvement. Through these evaluations, we can offer recommendations on compliance readiness with regulatory frameworks such as the NIST AI Risk Management Framework, EU AI Act, and ISO 42001 — preparing clients for current and emerging regulatory requirements.

We offer advice for implementing a robust framework of policies, procedures, and controls for the responsible development and deployment of AI systems. Our guidance aims to support organizations as they navigate existing and emerging legal guidelines, regulatory requirements, and ethical standards.

For compliance and effectiveness, we also provide recommendations for client’s design of AI policies, ongoing monitoring procedures, and internal controls documentation.

Our AI labs provide a one or multi-day immersive experience, including an overview of AI principles and their impact on finance functions. We conduct AI simulation labs to advise clients explore AI capabilities and establish an organizational strategy with recommended next steps.

For our proofs of concept (POC) services, we advise clients in developing POCs for selected use cases. This includes initial use case design, technical design and architecture, prompt design and engineering, and output testing with implementation recommendations.

We assess the impact of AI on a client’s business model and core processes to develop a strategy for AI implementation. Our services include educational sessions, process discovery workshops, and working sessions with functional teams to identify and analyze potential use cases.

Our evaluation of a client's current state advises on identifying AI sources of value, estimate potential value and investment for each use case, and develop a prioritized, actionable roadmap. Within this roadmap, our clients will find a summary of key findings, recommendations, and advisable next steps.

We develop detailed plans and designs for AI adoption, tailored to the unique needs and constraints of the client's business. Our services include evaluating existing technical requirements, such as hardware, software, and data, to determine if a new solution is necessary. In collaboration with Deloitte alliance partners with Amazon Web Services, NVIDIA, and UiPath, we can assist with the technical setup and configuration of AI technologies.

Our guidance on data collection, cleaning, and management processes can ensure high-quality data for AI models. By conducting validation of AI technologies and offering training sessions for end-users and stakeholders, we aim to facilitate effective use of the implemented AI technologies.

We provide analytics on model performance and other key business metrics, such as hours saved or cost for the model. Our insights can inform clients about the impact and efficiency of their AI and machine learning models.

Additionally, we offer detailed reports and recommendations based on the analytics to guide clients in enhancing their AI strategies and achieving their business objectives.

By providing thorough risk assessments, we can evaluate an organization's exposure to AI-related risks and their current risk management strategies. We aim to offer actionable insights for informed decision and financial integrity through analyzing financial metrics and reporting risks associated with AI.

Our assessment of internal controls aims to better understand governance practices and identify opportunities for improvement. Through these evaluations, we can offer recommendations on compliance readiness with regulatory frameworks such as the NIST AI Risk Management Framework, EU AI Act, and ISO 42001 — preparing clients for current and emerging regulatory requirements.

We offer advice for implementing a robust framework of policies, procedures, and controls for the responsible development and deployment of AI systems. Our guidance aims to support organizations as they navigate existing and emerging legal guidelines, regulatory requirements, and ethical standards.

For compliance and effectiveness, we also provide recommendations for client’s design of AI policies, ongoing monitoring procedures, and internal controls documentation.