Artificial Intelligence

• Co-create AI adoption roadmaps with customers, articulating the “art of the possible” and a clear path to value.
• Deeply understand each customer’s domain and business processes to prioritize the most impactful use cases.
• Frame problems and scope deployments with executives and SMEs; define success metrics and guardrails.
• Oversee implementation with product, solutions engineering, and account teams to ensure seamless integration and usability.
• Drive change management: design onboarding materials, train users, monitor adoption, and close feedback loops.
• Measure and scale value: quantify ROI, refine KPIs, and expand successful use cases across teams or departments.
• Translate between technical and business language to align C‑suite, domain experts, and builders.
• Establish operating artifacts: deployment plans, playbooks/runbooks, value trackers, and stakeholder cadences.
• How we’ll measure success:
• Revenue: Net Revenue Retention (churn, downsell, upsell)
• Consumption/ROI: Time vs Value vs Usage per use case
• Adoption: Weekly active users and depth of use
• Customer Satisfaction: CSAT and qualitative feedback

AI Deployment Strategist

Cloud AI Engineer, Forward Deployed

Senior Consultant – AI, Real Estate