AI and data programs

10 AI consultants

These ten AI consultants advise organisations on how to plan and apply artificial intelligence in their operations. A reader can learn how to decide where AI is worth applying, how to scope a first project or proof of concept, and what it takes to move a working pilot into everyday use.

10 professionals10 companiesData retrieved September 29, 2026

Professionals to explore

01—10
  1. Alexei Nordell-Markovits

    LinkedIn

    Experience: Independent AI strategy consultant · Self-employed

    Independent AI strategy consultant (self-employed) since 2024. He was Director, AI delivery at Moov AI (2021–2024) and Senior AI Product Manager at ServiceNow AI Research (2020–2021). The profile says he has spent the past decade helping organizations extract value from AI, across technical management, product management, pre-sales and advisory roles, and helps groups understand where and if AI can help.

  2. Boris Dorian Da Silva

    LinkedIn

    Experience: Founder & Principal AI Consultant · NextAIBridge

    Founder & Principal AI Consultant at NextAIBridge since 2025. The profile says he works directly with clients to understand their business challenges and deliver end-to-end AI implementations, from strategy and architecture to deployment. It also lists AI Engineer Data Scientist at Globant (2023–2025) and Data scientist - LAS Analytics HUB at EY (2018–2021).

  3. Derreck Van Gelderen

    LinkedIn

    Experience: Associate Partner - Head of AI Strategy and AI Energy Lead · PA Consulting

    Associate Partner - Head of AI Strategy and AI Energy Lead at PA Consulting since 2025. Other PA Consulting roles on the profile are Head of AI Strategy - Managing Consultant (2022–2025), AI Energy Lead - Managing Consultant (2022–2025), Principal Consultant (2021–2022) and Consultant (2019–2021). The profile describes leading PA Consulting's AI and Investment Strategy practice across private and public sector organisations and co-authoring A leader's guide to generative AI.

  4. Gerald Pierre

    LinkedIn

    Experience: Founder & Director - AI Transformation Advisory · St Marcel

    Founder & Director - AI Transformation Advisory at St Marcel, a London-based transformation advisory company that helps organisations turn AI, data and technology into business and institutional value; he says he advises senior leaders on AI strategy and responsible adoption. The profile also lists Senior AI Advisor at the United Nations (2024) and Senior advisor on applied AI - machine learning, natural language processing and generative AI at the World Food Programme (2022–2023).

  5. Kathleen D'Angelo

    LinkedIn

    Experience: Founder & Principal AI Strategy Consultant · AI Value Advisory LLC

    Founder & Principal AI Strategy Consultant at AI Value Advisory LLC since 2025, alongside her role as Senior Technology Sales & Digital Transformation Leader at HP since 2019. The profile describes her as an AI consultant who helps organizations translate artificial intelligence into revenue growth, operational efficiency and enterprise value, drawing on work in business process automation and digital transformation.

  6. Kavita Ganesan

    LinkedIn

    Experience: Chief AI Strategist & Architect Founder · Opinosis Analytics - AI Strategy & Implementation

    Chief AI Strategist & Architect Founder at Opinosis Analytics since 2018, which the profile describes as an AI consulting firm that works with midmarket, large and small businesses to deliver AI strategies and custom AI solutions. She is also the author of The Business Case for AI. The profile lists Technical Lead Data Scientist at GitHub (2016–2020).

  7. Laurent Michel

    LinkedIn

    Experience: Director for data and AI consulting · Solstice Lab

    Director for data and AI consulting at Solstice Lab since 2025 and Consultant IA at AI Builders since 2025. He was Directeur de projet Transformation IA at AI Builders (2023–2024) and Co-founder and COO of AI-vidence (2021–2023). The profile describes him as a specialist in scaling AI from proof of concept to enterprise-wide deployment, covering strategy, industrialization, governance and AI Act compliance.

  8. Lukas Kemkes

    LinkedIn

    Experience: Founder & Managing Director · Kemkes AI Consulting

    Founder & Managing Director of Kemkes AI Consulting since 2024. He also worked as a freelance Generative AI & MLOps Consultant (2023) and was Co-Founder & CEO of Creatext (2020–2023). The profile says he helps clients build the right AI strategy, develop a proof-of-concept and implement AI in production, including adding AI to products and automating internal processes.

  9. Mayur Jha

    LinkedIn

    Experience: Founder & Managing Director AI Transformation Consulting · Pegasus Academy

    Founder & Managing Director AI Transformation Consulting at Pegasus Academy since 2023; the profile also lists Consultant at McKinsey & Company (2013–2021). It says Pegasus Academy works with leadership teams at German Mittelstand companies and European scale-ups on taking AI from board agenda and scattered pilots to operational impact, in short engagements of typically one to eight weeks.

  10. Paul Hoffman

    LinkedIn

    Experience: Founder & Principal AI-Consultant · Bytesize AI

    Founder & Principal AI-Consultant at Bytesize AI since 2022. The profile lists Military Officer - Captain - AI HR transition manager (2019–2022) and Military Officer - 2nd Lieutenant - AI Project Manager (2016–2019) at the Ministerie van Defensie. It describes him as a strategic AI advisor and process redesign expert who has advised over 60 companies and built more than 100 intelligent agents.

Choose the right perspective

Match the consultant's background to your need: people with data science or engineering roles suit hands-on implementation questions, while those focused on strategy or board-level advice suit questions about priorities and governance. Check whether their consulting role is current and what kinds of organisations they describe working with before asking about recent practice.

Questions to take into the conversation

  1. 01How do you decide which AI use cases to pursue first, and what evidence do you look for before committing budget?
  2. 02What does a well-scoped AI proof of concept look like, and how do you judge whether it is ready for production?
  3. 03What most often stops an AI system from being used after launch, and how do you plan for that from the start?

About this directory

This is a professional research starting point based on business profile data retrieved on . Titles and companies reflect that source snapshot and may describe past or present roles. Check the linked profiles for current details. Inclusion does not imply Instant Expert membership or availability.

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