Every consulting firm sits on a goldmine of institutional knowledge — years of strategic analysis, competitor benchmarking, market sizing, and operational diagnostics locked inside past deliverables. The problem? Those same deliverables are riddled with confidential client information that makes them untouchable.
The traditional response is one of two extremes: either lock everything away (and accept the knowledge loss), or ask junior analysts to spend hours manually redacting slides before they can be shared internally. Neither option works at scale.
The redaction problem is harder than it looks
Most people think of redaction as blacking out a name or a logo. In consulting deliverables, the problem is far more nuanced. A Harvey ball chart showing competitive positioning doesn't name the client — but combined with the industry context on the previous slide, it narrows the field to two or three companies. A market share figure might not be sensitive on its own, but paired with a geography and a time period, it becomes identifiable.
This is what makes consulting redaction fundamentally different from legal or healthcare redaction. It's not about finding PII or PHI. It's about understanding the inferential risk across an entire deck — how seemingly innocuous data points combine to reveal confidential information.
Why manual review doesn't scale
At most consulting firms, the sanitisation process is manual. A knowledge manager or junior consultant reviews each slide, identifies sensitive elements, and edits them out. This process typically takes 4-8 hours per deck — and even then, reviewers routinely miss indirect identifiers that only a subject-matter expert would catch. The cost comparison between manual and automated approaches makes the case for change even more compelling.
The result? Most firms simply don't bother. Past deliverables sit in archives, effectively inaccessible. The institutional knowledge they contain — the strategic frameworks, the analytical approaches, the industry benchmarks — is lost.
Intelligent sanitisation changes the equation
What if you could process a deck in minutes instead of hours, with confidence that both direct and indirect client identifiers had been caught? That's the promise of context-aware, AI-powered sanitisation.
By combining visual analysis (detecting logos, charts, and colour-coded elements) with textual understanding (identifying client names, financials, and strategic language), intelligent sanitisation can catch things that manual review misses — and do it at a fraction of the time and cost.
The result isn't just cleaner documents. It's unlocked knowledge — past work that can be searched, shared, used for training, and fed into AI tools without confidentiality risk.
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