What participants post publicly
No polished testimonial deck, just real posts published right after the hackathons.
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AI upskilling for consulting firms built around billable delivery
AI upskilling for consulting firms works when consultants build against the deliverables they already own: client decks, research synthesis, and proposal work. In a AI hackathon your team solves real problems, a research-synthesis assistant that turns interview transcripts and desk research into a structured brief, a proposal generator that assembles a first-draft SOW from a client brief, or a deliverable QA tool that checks a deck against a firm's methodology and style. In just 1 week, from our first call to a prototype your team built with AI, you get something running on your own frameworks and client work, not a generic exercise. Every hackathon leaves you with a working prototype and an internal AI literacy measures record. Consulting margin depends on utilisation, and a hackathon turns training hours into reusable workflows instead of a day off the billable clock.
What consulting teams build
A research-synthesis assistant that structures interview and desk research into a client-ready brief
A proposal and SOW generator from a client brief and firm templates
A deliverable QA tool that checks decks against firm methodology and style
A knowledge base assistant that surfaces prior engagement learnings for new projects
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