Build a Winning Generative AI Strategy
Build a Generative AI strategy aligned with your business objectives and monitor the impact of automation projects with an industry-leading, data-driven approach.
Identify the best AI Tools to increase revenue and reduce costs by maximising the ROI impact of your AI Use Cases
AI Manager 360 helps organisations make sense of this new and rapidly evolving landscape, helping them to identify and prioritise use cases, assess the fit of AI tools, and monitor success.
How does the AIManager360 Business Intelligence Platform support your AI Strategy?
1. Set Generative AI Objectives Aligned with Your Business Objectives and OKRs
The hype around AI transformation is undeniable. But prioritising the wrong use cases and implementing the wrong AI projects can cost organisations money and time, and can create lasting reputational damage. Equally, hesitating and delaying AI adoption can result in losing a significant competitive advantage.
AIManager360 lets you create and manage your AI business strategy with ease, creating measurable objectives for each of your Generative AI projects, aligned with business objectives, OKRs, and cross-functional initiatives.
2. Establish Clear AI Policies and Responsible AI Guidelines
Generative AI is regulated by a growing number of laws that set out best practices.Responsible businesses should not only deploy AI initiatives that are compliant with such laws, but should develop internal policies to protect employees and customers.
AIManager360’s platform is rooted in governance, and takes into account compliance risk levels for each of the tools we create or recommend.
3. Identify the Generative AI Opportunities for all Your Business Use Cases
Simplify tool selection and maintain an up-to-date inventory of all your Generative AI initiatives for maximum visibility and ROI monitoring.
4. Assess and Mitigate AI implementation Risks
• Set Risk Levels and corresponding AI solutions’ requirements for your business use cases
• Evaluate each AI solution and their underlying models based on clear and transparent criteria
• Define your own weight for evaluation criteria such as accuracy, adoption, bias, environment, society, etc
• Leverage the dozens of solutions evaluations already provided by AIManager360 to speed up your risk assessment
• Select only the solutions that meet your requirements
5. Prioritize Generative AI Initiatives Based on Reliable ROI Predictions and on Business Viability
Evaluate, compare and prioritise Generative AI initiatives based on their expected ROI and business viability.
Leverage your own data to receive accurate ROI and impact predictions and receive a viability score for each solution based on your unique technology ecosystem