Talent strategy advisory for management consultancies, now scaling AI and PE-focused consulting
Consulting Point is a 20-year-old talent strategy firm expanding rapidly into AI-driven consulting and private equity advisory. The tech stack signals a major operational shift: traditional HCM platforms (Workday, SuccessFactors, Oracle) sit alongside modern data infrastructure (Python, Spark, Databricks, Palantir) and emerging AI tooling (OpenAI, LangChain, CrewAI). Active hiring emphasizes consulting seniority (23 senior roles, 19 consulting posts in 34 new openings) paired with engineering and data roles—indicating they're building internal capability to deliver AI-native solutions rather than relying on vendor tools alone.
Notable leadership hires: Life Sciences Practice Head, AI Strategy Lead, Consulting Director
Consulting Point advises management consultancies on talent attraction, retention, and rewards strategies. Founded in 2003 and headquartered in London, the firm operates across the UK, US, Spain, Canada, and India. Beyond traditional talent advisory, active projects span commercial due diligence, value creation, growth strategy, and AI pilot programs—suggesting a shift toward embedded consulting for corporate and private equity clients. The organization is scaling its consulting team to meet expanding demand and building a dedicated private equity practice, with notable recent hires in life sciences and AI strategy leadership.
Active projects include commercial due diligence, value creation, growth strategy, agentic AI and generative AI pilots, AI adoption playbooks, and post-acquisition transformation—reflecting expansion into PE-backed advisory.
HCM platforms (Workday, SuccessFactors, Oracle), cloud infrastructure (AWS, Azure, GCP), data engineering (Python, Spark, Databricks, Palantir), and emerging AI tools (OpenAI, LangChain, CrewAI, AutoGen).
Other companies in the same industry, closest in size
Consulting Point's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.