Consulting is knowledge work at its purest — research, synthesis, deliverables, and judgment — which makes it both a natural fit for AI and a confidentiality-sensitive one. The win is more output and faster turnarounds; the guardrail is protecting client data. Here’s how, and how dgm implements it. (dgm implements osFoundry, a separate company’s platform — we are not osFoundry.)

What AI actually does for consulting firms

The honest framing: AI accelerates the research and drafting that surrounds consulting, so consultants spend more time on the thinking, framing, and client relationships clients actually pay for. It’s a leverage multiplier, not a replacement for expertise.

High-value use cases

  • Research and synthesis — distilling large volumes of information into insight, fast.
  • Deliverable drafting — first drafts of slides, reports, and memos (consultant-finalized).
  • Proposal drafting — accelerating responses and pitches.
  • Internal knowledge reuse — making past work, methodologies, and expertise findable across the firm (often the biggest hidden win).

The non-negotiable: client confidentiality

Consulting firms hold deeply sensitive client data, often under strict contractual confidentiality. So:

  • Strong controls on any AI that handles client data — access controls, data protection, and ensuring vendors don’t train models on client data.
  • Engagement segregation — keeping one client’s data from bleeding into another’s context.
  • Start internal where possible — internal knowledge reuse and general research carry lower confidentiality risk than feeding live client data into AI.

dgm builds these confidentiality controls into the implementation.

Doing it right

Keep judgment and quality control human — AI drafts and researches, consultants own the analysis and the client relationship. And resist using AI to simply produce more deliverable volume; clients pay for insight, not page count.

How to start

Start with internal knowledge reuse or research — high leverage, lower confidentiality risk when scoped well. Prove the time saved and knowledge unlocked, then expand carefully toward client work with the right controls. dgm’s assessment finds the right starting point.

How dgm helps

dgm implements osFoundry and other AI for US consulting firms — with confidentiality controls and engagement segregation built in, focused on research and knowledge reuse first, and training your team. Pricing is fixed and public: a $399 assessment and $3,999/month implementation, with no per-seat fees. If you’d rather explore the platform first, go straight to osFoundry; if you want consulting-firm AI done right, that’s where dgm comes in.