Profile

Profile

With a background in technology, healthcare communication, and over 15 years in corporate and media strategy, I now help healthcare providers take meaningful steps in their AI journey.

My work focuses on creating strong foundations for AI adoption, embedding responsible practices, and strengthening communication to guide providers through the early stages of AI integration.

By combining healthcare expertise with AI and ML knowledge, I deliver practical solutions that enable safer care and smarter operations.

Qualification Snapshot

Post Graduate Program in Generative AI & ML (Illinois Tech)

Master of Science – Specialization in Nutrition & Health Communication (SNDT, Mumbai)

AI in Healthcare (Stanford Online)

AI Security and Governance Certification (Securiti)

Nikeeta Hembrom

AI Adoption, Responsible AI Practices and Communication Consultant

Blending AI knowledge, responsible AI practices, and healthcare focus to deliver clear, trustworthy guidance

My Approach

Strategies designed to serve your priorities
Practical, Objective, and Vendor-neutral

01

Understand Context

Assess your current stage, priorities, goals and challenges

02

Define Needs

Identify gaps, opportunities, and responsible AI focus areas

03

Design Roadmap

Develop phased adoption strategies

04

Enable Adoption

Build capacity, awareness, and stakeholder buy-in​

05

Deliver with Continuity

Ensure ongoing guidance, training, and governance checks.

06

Measure Impact

Track adoption outcomes, refine processes, and sustain improvements

Expertise

Consulting Experience with MNCs

Experience with multinational corporations and B2B companies has built a strong foundation in structured processes, global standards, and stakeholder management — expertise I now apply to guiding healthcare providers in adopting AI responsibly.

Bringing together AI knowledge, responsible AI awareness, and communication expertise to create clear, actionable strategies that align with both organizational goals and regulatory frameworks.

Every engagement follows a structured methodology — from needs assessment and simplification to framework alignment and practical adoption — ensuring consistency and accountability.

Support does not end at implementation. Ongoing advisory ensures organizations can sustain adoption, adapt to new requirements, and continue gaining value from AI responsibly.

Let’s Explore Your AI Journey

Discover How Adopting AI Responsibly Can Support Your Organization