Knowledge for modern consulting
Expert articles, playbooks and a glossary on AI in consulting, data protection, margin and methodology.
Glossary
72 clear definitions from consulting, M&A, restructuring and AI, with examples from practice.
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AI in management consulting: where it really helps today, and where it does not
Today, AI mainly takes over the groundwork in consulting: research, screening large volumes of documents, first structures and drafts. Judgment, recommendations and responsibility towards the client stay with the consultant. What makes the biggest difference is not the AI model, but how it is built into a firm’s workflows.
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Commercial due diligence with AI: process, opportunities, limits
In a commercial due diligence (CDD), AI mainly speeds up the legwork: market research, competitor overview, screening the data room and analysing interviews. The core question, whether the target company’s business plan is realistic, remains an assessment by experienced consultants. Used well, AI above all buys time for exactly that assessment.
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IDW S6 restructuring opinions: structure and where AI helps
A restructuring opinion under IDW S6 has to deliver a comprehensive analysis in a short time: starting position, causes of the crisis, target picture, measures, integrated planning and a judgment on restructuring feasibility. AI can mainly help with gathering information, analysing documents, structure and consistency checks. The assessment of restructuring feasibility, and the responsibility for it, stay with the expert.
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Boutique vs. Big Four: why smaller firms need to catch up on AI now
The large firms are building their own AI platforms, hiring fewer entry-level staff and realigning how they work. For boutique firms this creates pressure on prices, speed and talent. At the same time, smaller firms have an advantage: they can decide faster and rely on ready-made solutions instead of developing their own for years. What matters is to start now.
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Corporate strategy teams: more analyses with a small team
Strategy and corporate development teams are usually small, yet the requests from the board and business units are numerous and urgent. AI can significantly speed up research, market monitoring, competitor analyses and the screening of acquisition targets. For this to work, you need fixed workflows, sources for every statement and a secure environment for confidential information.
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Knowledge management in consulting firms: how project knowledge stops getting lost
In consulting firms, the most valuable knowledge sits in the heads of experienced consultants and in old project folders. Classic solutions such as wikis or lessons-learned workshops usually fail because of the lack of time in day-to-day project work. Knowledge management only works when it happens on the side, in the flow of work: methods as fixed workflows, insights automatically in a shared knowledge base, searchable with AI and cleanly separated by engagement.
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Audit-proof AI results: sources, approvals, liability
Anyone who uses AI in consulting projects remains responsible for the result. The AI is not liable, the firm is. For AI-assisted deliverables to stand up in front of clients, banks or investors, three things are needed: a source for every statement, fixed approvals by experienced consultants and complete documentation of how a result came about.
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Commercial due diligence checklist
A commercial due diligence (CDD) has to answer one central question within a few weeks: is the target company’s business plan realistic? This checklist guides you through all review steps so that nothing important is missed under time pressure.
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Market entry analysis in 5 steps
Whether a new country, a new industry or a new customer segment: a market entry analysis ultimately answers one overarching question: is it worth the effort to take the offering into this market? If the answer is positive, the concrete market entry strategy is worked out afterwards.
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Checklist: is this AI tool safe for client data?
Client data is among the most sensitive information a consulting firm holds, especially in M&A, due diligence or restructuring engagements. Before an AI tool is allowed to work with it, it should pass this checklist.
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