Embrace

Get a clear roadmap on how to scale AI across your enterprise.

After pilots, many firms face challenges in transitioning to large-scale implementation due to a failure to fully ‘embrace’ AI. This critical phase involves reflecting on the pilot project’s outcomes, gathering customer feedback, reassessing organisational and technical readiness, and, most importantly, driving change management among internal stakeholders and end-customers. Effective change management is essential to foster understanding and acceptance of AI’s integration and its impact on service delivery.

Centelon Solutions recommends that you

Monitor and test the results of AI pilot projects by collecting data on how end-customers interact with the system as well as identify any usability challenges or technical issues.

Measure key performance indicators and defined metrics such as processing time, cost savings, customer satisfaction, or error reduction to evaluate the pilot project’s success.

Assess impact through a comparison of pre- and post-implementation outcomes of the pilot project.

Monitor and test the results 1
Improve iteratively 1

Improve iteratively and repeat readiness assessments from the ‘Evaluate’ phase and resolve roadblocks before proceeding to large-scale AI implementation.

Determining whether AI 1

Determining whether AI can integrate seamlessly with current systems.

Target training and AI 1

Target training and AI literacy programs by collaborating with external partners on customised workshops for employees at various levels—technical, managerial, and executive.

Encourage stakeholder engagement 1

Encourage stakeholder engagement through discussions about AI implementations, hosting town halls, surveys, and focus groups to address concerns.

Communicate transparently 1

Build leadership buy-in by educating senior leaders to help them champion AI initiatives and align them with strategic goals.

Communicate transparently with end-customers through campaigns that clearly explain how AI benefits them, emphasising its role in enhancing—not replacing—human decision-making. Develop transparency reports for each AI project, outlining how data is used, how decisions are made, and safeguards in place.

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Change management solutions that ensure enterprise-wide AI adoption. Get started with our pro bono, no-obligation AI Readiness Assessment.