Blog
Analyses, methods and insights on AI-powered strategic intelligence for consulting firms and strategy teams.
EUR-Lex, Légifrance, RSS alerts, DILA API: a practical method for automating European and national regulatory intelligence without drowning teams in institutional noise.
A structured process, source typologies, deliverable formats and common mistakes: the operational framework for effective strategic intelligence in a consulting firm.
Hallucinations, verifying roles and dates, labelling AI-generated content, and the AI Act: what every consulting firm must put in place to use AI without reputational risk.
Consulting economics: why the value in an intelligence service lies in analysis, how to repackage the offering to bill accordingly, and what automation changes in the equation.
Source coverage, AI filtering quality, deliverable formats, pricing, integrations, support and scalability: the evaluation framework for choosing an intelligence tool suited to a consulting firm.
A practical method to calculate the ROI of an AI intelligence tool for a consulting firm: time gains, additional revenue, avoided costs. Quantified framework and tracking metrics.
2026 overview of AI-automated competitive intelligence: LLM architectures, multi-model pipelines, current technical limits, and selection criteria for a consulting firm.
A practical method to identify weak signals in strategic intelligence: non-obvious sources, detection heuristics, common mistakes, and the role of AI in early detection.
How to structure a useful strategic intelligence practice in a consulting firm: the intelligence cycle, source selection, tooling, and what can reasonably be automated today.