Professional services firms — advisory, agencies, specialized practices — are knowledge businesses where research, deliverables, and expertise are the product. AI accelerates the support work around that expertise, with client confidentiality as the guardrail. 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 professional services firms

The honest framing: AI accelerates the research and drafting that surrounds expert work, so professionals spend more time on judgment, client relationships, and value. It’s a leverage multiplier, not a replacement for expertise.

High-value use cases

  • Research and synthesis — distilling information into insight quickly.
  • Deliverable drafting — first drafts of reports, analyses, and presentations (expert-finalized).
  • Proposal drafting — accelerating new-business documents.
  • Knowledge reuse — making the firm’s accumulated expertise findable and reusable (a major hidden win).

The non-negotiable: client confidentiality

Professional services firms hold sensitive, often contractually protected client data, so:

  • Strong controls on any AI handling client data, with vendors not training on it.
  • Engagement segregation — keeping clients’ data and contexts separate.
  • Start internal where possible — internal knowledge and general research carry lower confidentiality risk.

dgm builds these controls into the implementation. (For specific regulated professions, see our accounting and law-firm guides.)

How to start

Start with internal knowledge reuse or research — high leverage, lower confidentiality risk. Prove the time saved and knowledge unlocked, then expand 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 professional services 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 professional-services AI done right, that’s where dgm comes in.