Setting the foundations for future AI success

Strategic initiatives to set the foundations for long-term success with AI technologies

Governance	Change Management	Technology Plan
Creation of an AI Governance framework to provide flexibility, visibility, controls and knowledge sharing across all projects with elements of AI and help you understand and manage risk.	Design a people-first Change plan to ensure effective business-wide adoption of AI initiatives. Implement plan using ADKAR change management framework, establishing clear governance and tracing progress and success.	Create a longer term AI Strategy aligned to business outcomes, productivity, risk and innovation to ready RLB for more commoditised AI Technology longer term (2-5yrs).

AI governance framework

Provides control, flexibility, knowledge sharing and risk management.

Creation of an AI Governance framework to provide flexibility, visibility, controls and knowledge sharing across all projects with elements of AI and help you understand and manage risk.

AI policy

Write and publish an organisational policy.

Impact assessment against existing policies and update.

Governance

Design & setup governance: Terms of Reference, Roles & Responsibilities, Processes & Templates.

Setting up escalation routes for incident and people management.

Change management

Ongoing success and adoption will require clearly defined processes to enable RLB to embed and reinforce change*. This will provide clear metrics against which success can be measured.

*via networks set-up and identified as part of the project

Design a people-first Change plan to ensure effective business-wide adoption of AI initiatives. Implement plan using ADKAR change management framework, establishing clear governance to track progress and success.

Agile timescale (typically 6-12 weeks)

(Subject to scale of change, number of stakeholders involved and the extent of the impact)

1. Understand the change

Collect insights, map stakeholders, impact assessment.

2. Develop change roadmap

Create change plan, personas, identify champions and prepare to measure progress.

3. Implement change roadmap

Roll out plan and metrics, to track success, allowing for iteration to embed and reinforce the change.

AI technology plan

Assistance to leverage relevant AI technologies.

Aside from use case implementation (Slide 34), a combination of tactical and strategic initiatives will help future-proof RLB against AI market disruption.

Focusing on:

Discovery and evaluation of automation (non-AI) opportunities.
Evaluation of recommendations for buying specialist AI with Proof of Concepts (PoCs).
Defining long-term AI Strategy to leverage AI technological advancement.

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