AI Curious/Shadow AI

Are your teams using AI on their own without internal discussions?

If you say, 'Most probably,' AI is not front-of-mind. This can lead to risks of improper use, security concerns and missed opportunities to maximise AI tools to address pain points and challenges related to tasks and projects.

Initial/Ideation

Are you just reasearching? Looking to start but don’t know how?

Your AI efforts are in their infancy. You need to establish clear leadership, AI strategy, and governance. Senior management might still be exploring what AI Means and how it could apply across the organisation. There is no designated AI champion. While isolated pilot projects may exist, you have yet to set up an enterprise-wide framework, tools or processes to support scalable AI adoption. You need to put in a place a responsible AI Use policy, processes to avoid data bias and measures of success.

Engaged/Experimentation

Are you covered by Microsoft or AWS? Or are you rolling out Copilot or other GenAI tools for end-users?

Early exploration through small pilots and informal trials, with unstructured use of Copilot/ChatGPT and patchy adoption across teams. Shadow AI and unmanaged risks are emerging due to limited understanding of value and a lack of repeatable use cases. You are beginning to build capability through prompt‑engineering workshops, department‑based Q&A sessions, scenario‑based Copilot training, and introductory AI governance guidance.

Defined/Scaling

Do you have a plan, AI governance and processes in place?

AI adoption is formalised across the organisation. Leadership actively support enterprise-wide strategies and governance. Processes are documented, too. You have internal policies to guide the use of AI tools. Through training programs, you upskill teams on best practices and company-specific protocols. Projects follow standardised approaches, though some areas are more advanced than others. AI initiatives are aligned to company wide goals, and early efforts to monitor and measure AI performance are underway.

Managed/Integrated

When it comes to AI adoption, do you have your bases covered?

AI is fully embedded in organizational processes, with policies, governance and technical standards guiding all initiatives. Metrics are collected and analysed to measure AI's impact. Leadership uses this data to inform strategic decisions. Multiple projects follow standardized technologies and approaches. Your teams also document best practices. Enterprse-wide training and support structures are in place. AI adoption rates are high, with widespread use of tools, resources and defined standards.

Optimised

AI is fully embedded and continuously evolving across the enterprise.

Leadership refines policies and procedures using performance data to maximise impact. Silos have been broken down, enabling seamless integration of data and resources. Your teams consistently produce high-level AI work, share best practices, and drive innovation. AI is strategic, operational and tactical -- delivering enhanced outcomes. ROI is achieved.

Ideation

Invite Lumify to your management meetings and department syncs to discuss AI readiness.

Experimentation

Define skilling needs from end users to developers. Assess baseline capabilities.

Scaling

Sign off on proposals to advance your AI Maturity.

Integrated

Engage Lumify Group to deliver initiatives for AI skilling.

Optimised

ROI Achieved! AI is strategic, operational and tactical.