AI

Defining an AI adoption strategy as organizational change management toward becoming an AI-empowered organization.

Developing an operational doctrine and smart, responsible policies for organization-wide AI adoption and integration.

Crafting a roadmap for AI adoption tailored to business priorities and the organization’s DNA.

Identifying, refining, and prioritizing leading AI initiatives, balancing quick wins with transformative multipliers. Rapid literacy and implementation of practical AI tools among employees and managers.

Workshops to prioritize leading AI initiatives and enhance work plans to maximize strategic AI benefits.

CXO Dashboard: Tools to help decision-makers navigate organizational change accurately and flexibly.

Strategies to accelerate adoption and integration, including creating incentive and recognition systems, supportive environments, AI knowledge management tools, and establishing a COE (Center of Excellence).

Designing and implementing POCs/pilots for key AI initiatives and assisting in RFP preparation with vendors.

Supporting the development of a forward-looking organizational structure and skill map (reskilling/upskilling).

Training, certifying, and guiding organizational change/transformation leaders.

Assessing organizational readiness, identifying adoption barriers and risks, and providing recommendations for IT, data, and organizational improvements.

GAI Data Thinking: Identifying, prioritizing, and leveraging data assets and growth drivers.

Advancing “Talk with Your Data” initiatives and integrating BI+AI solutions.

Developing internal storytelling strategies to accelerate adoption and foster employee buy-in.

A digital knowledge repository to simplify managing all technological and organizational initiatives as a productive investment portfolio, using a unified language accessible to all stakeholders.