Generative AI (GenAI) is transforming industries, but organisations are struggling to balance innovation with cost control and sustainability.
Key challenges of adopting GenAI include skyrocketing operational costs, unpredictable spending on training and inference, and significant carbon emissions linked to energy-intensive workloads. Security concerns and a lack of robust governance frameworks further complicate adoption.
Without clear ROI measurement, many organisations risk pursuing GenAI projects without understanding their financial or environmental impact. Trends show a growing need for better workload planning, resource optimisation, and data governance to achieve sustainable and cost-effective AI deployment.
hyperscalers & on premises
Synyega's FinOps for GenAI KickStarter service is designed to help organisations optimise their AI workloads by combining FinOps and GreenOps principles. Our service focuses on defining high-value use cases, implementing cost and carbon efficiency strategies, and aligning AI investments with measurable business outcomes.
We guide organisations through a structured approach, addressing challenges in resource rightsizing, scheduling, data governance, and compliance. By integrating cost and carbon tracking into operational decision-making, we enable teams to drive innovation responsibly while achieving financial predictability and sustainability goals.
Stakeholder-specific engagement plans for IT, finance, security, and leadership
Use-case validation workshops to prioritise high-value AI initiatives
Tailored dashboards for tracking costs, carbon emissions, and ROI metrics
Operational optimisation guidelines, including scheduling and rightsizing
Compliance frameworks to address data governance and security risks
Access to our Best Practice Policy guides
book a consultation today!
Speak with our team to find the best solutions for your needs!