The GenAIOps Operating Model
The GenAIOps Operating Model is a model for those looking to successfully adopt, build, and scale generative AI inside their organisation. It takes you from early exploration through to enterprise-grade production, giving you a structured way to manage risk, move fast, and deliver real value.
Think of it as the operating model for Generative AI delivery, helping you answer:
Where do we start?
How do we test safely?
What’s needed to go live?
How do we keep it working?
It’s broken down into three clear stages:
This Operating Model sits on top of The Generative AI Stack, the technical foundation your organisation needs to effectively implement generative AI at scale. It consists of interconnected layers each critical in building, deploying, and managing generative AI applications reliably and sustainably.
To recap; The Generative AI Manifesto gives you the why ; the principles to guide every decision
The Generative AI Stack gives you the what ; the tech you need.
The GenAIOps Operating Model gives you the how; the process to get it into real use.
The Generative AI Manifesto keeps us rooted in a shared, enduring set of principles, a compass we can refer to and abide by as we navigate the fast-evolving AI landscape. It reminds us that progress must be matched with responsibility, and that every breakthrough must be grounded in trust, transparency, and thoughtful intent.
Crafted by The Centre for GenAIOps, the Manifesto is a declaration that the development and operation of Generative AI must be trustworthy, effective, and accountable, not just technically, but ethically and socially. These twelve principles are working values designed to shape everyday practice. They guide how we build, how we scale, and how we lead with Generative AI.
The Generative AI Manifesto by The Centre For GenAIOps
The Development and Operation of Generative AI must be trustworthy, effective, and rooted in accountability.
We foster an inclusive culture of open collaboration and trust by creating environments where diverse teams collaborate openly, ensuring that trust is built at every stage of Generative AI development and operation.
We lead with purpose and seek to understand by creating Generative AI systems that responsibly address humanity's needs, emphasizing thoughtful innovation while acknowledging and adapting to the evolving nature of this journey
We embrace complexity and seek simplicity by leveraging generative AI to solve real-world problems efficiently and adaptively, empowering our teams to innovate with ease and focus.
We interoperate progressively and expand responsibly by aligning each integration with wider goals to drive sustainable growth without overwhelming our systems or teams.
We empower through continuous learning by evolving alongside our models, fostering growth that aligns with our purpose to make Generative AI smarter and more efficient.
We design with transparency and act with integrity by building explainable systems that enable organizations to uphold their own standards of integrity and foster trust among stakeholders.
We enable resilient and agentic systems by creating AI systems that are robust, adaptive, and guided by human oversight to ensure responsible and accountable outcomes.
We build for excellence and efficiency by creating fortified Generative AI systems that balance operational reliability and maintainability without compromising performance, ready to deliver optimized results even under challenging conditions.
We ensure responsible alignment through human oversight by prioritizing guidance to monitor and adjust AI behaviors, aligning actions with organizational values to maintain accountability.
We promote governance and compliance by upholding strong governance with clear policies and safeguards to ensure our systems are reliable and compliant.
We assess risk with precision and operate with accountability by recognizing and managing the inherent risks of Generative AI at every level.
We commit to sustainable AI by designing energy-efficient systems and adopting practices that reduce our ecological footprint, ensuring long-term trust and operational sustainability
The GenAIOps Framework
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Generative AI holds immense potential to transform how organisations work, from automating tasks to enhancing creativity and driving entirely new capabilities. But unlocking that value requires more than just access to powerful models. It takes alignment, structure, and purposeful execution, or simply put, answering the why, how and what. Enter the GenAIOps Framework, composed of three core areas. The Generative AI Manifesto provides the why; the principles that guide every decision and ensure AI is developed responsibly. The GenAIOps Operating Model defines the how; a clear, pragmatic process to take ideas from exploration to production. The Generative AI Stack delivers the what; the technologies, platforms, and capabilities needed to build with confidence. Together, this forms the GenAIOps Framework: a complete, end-to-end approach to making Generative AI real, scalable, and trusted in the enterprise.