Why Consulting Firms Are Creating Their Own AI Models

What this episode covers

Episode 21 of Service Business Talks with Fexingo. Lucas and Luna explore why major consulting firms—including McKinsey and BCG—are investing millions to build proprietary large language models rather than relying solely on off-the-shelf AI from OpenAI or Google. The hosts break down the strategic calculus: client data privacy, customization for industry-specific workflows, and the race to own the consulting AI stack. They examine McKinsey's Lilli platform as a case study, discuss the $100 million-plus price tags, and ask whether this build-versus-buy decision will reshape the economics of professional services. A short, listener-supported donation segment is included early in the episode. #ConsultingAI #McKinsey #BCG #Lilli #ProprietaryModels #LargeLanguageModels #ProfessionalServices #DataPrivacy #AIStrategy #BusinessPodcast #FexingoBusiness #ServiceBusinessTalks #BuildVsBuy #ClientData #TechInConsulting #GenerativeAI #ConsultingFirms #CustomAI Keep every episode free: buymeacoffee.com/fexingo

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Frequently Asked Questions

How long is this episode of Service Business Talks with Fexingo: Consulting, Agencies, and Professional Services?

This episode is 8 minutes long.

When was this Service Business Talks with Fexingo: Consulting, Agencies, and Professional Services episode published?

This episode was published on May 30, 2026.

What is this episode about?

Episode 21 of Service Business Talks with Fexingo. Lucas and Luna explore why major consulting firms—including McKinsey and BCG—are investing millions to build proprietary large language models rather than relying solely on off-the-shelf AI from...

Can I download this Service Business Talks with Fexingo: Consulting, Agencies, and Professional Services episode?

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