I guide organizations through three key AI pillars:
AI Strategy & Roadmap:
Define vision, align with KPIs, and prioritize implementation by ROI.
AI Readiness Assessment:
Deep audit of data, infrastructure, security, and team skills to identify critical gaps.
Use Case Discovery Workshop:
Facilitate cross-functional sessions to prioritize high-impact AI opportunities.
AI Model & Platform Guidance:
Advise on scalable, secure Generative AI, RAG architecture, and enterprise solutions.
AI Governance & Ethical Design:
Establish frameworks for compliance (e.g., EU AI Act), transparency, and bias mitigation.
AI Adoption & Literacy:
Structured learning for all staff on core AI concepts and ethical use in their roles.
AI Change Management Bootcamp:
Intensive programs using ADKAR to build Awareness, Desire, Knowledge, and Ability.
Role & Workflow Redesign:
Consulting to define new skill requirements, update job descriptions, and plan reskilling strategies.
Group Mentoring & Coaching:
Long-term programs mentoring internal change agents, project managers, and future AI leaders.
Executive Coaching:
Focused guidance for C-suite on driving an AI-first culture and making high-stakes investment decisions.
Pilot Design & ROI Validation:
Design low-risk pilots with clear KPIs to validate business impact before full-scale deployment.
Performance Monitoring:
Establish dashboards to continuously track model performance and business metrics (e.g., efficiency gains).
Data Management Services:
Audit data governance and pipelines to ensure a reliable, clean, and ethical data supply for models.
Post-Implementation Reinforcement:
Develop programs (e.g., internal AI hackathons) to sustain new behaviors and embed AI into the culture.
