Finance and accounting teams spend enormous time on manual data work — keying invoices, prepping reconciliations, assembling reports — that crowds out the analysis leadership actually wants from them. AI can absorb much of that, if it’s implemented with the accuracy discipline finance demands. 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 finance teams

The honest framing: AI handles the manual, language- and data-heavy work so finance professionals spend more time on analysis and judgment. It speeds the close and the reporting cycle — but it works with controls, never as an unchecked oracle for numbers.

High-value use cases

  • Document data extraction — pulling structured data from invoices, receipts, and statements.
  • Reconciliation assistance — matching and flagging discrepancies for human review.
  • Report and commentary drafting — first drafts of management reports and variance commentary from your data.
  • Finance-data Q&A — answering questions about your financials, grounded in your systems.

The pattern: high-volume, repetitive extraction and drafting that eats the month-end.

The non-negotiable: accuracy with verification

Finance demands exactness, and AI is probabilistic — so the right pattern is a hybrid: AI for the extraction and language work, deterministic checks for the math that must be right, and human review on the numbers. Blindly trusting a model’s figures is a risk; pairing AI’s speed with verification gives you both. This is a defining principle of finance AI done responsibly, and it’s how dgm builds it.

How to start

Pick a high-volume, well-bounded process with clear right answers — invoice or document data extraction is the classic first win — with verification built in. Prove the accuracy and time saved, then expand. Avoid starting anywhere an unchecked error would be costly. dgm’s assessment finds that low-risk starting point.

How dgm helps

dgm implements osFoundry and other AI for US finance and accounting teams — connecting it to your finance systems, building extraction and drafting with deterministic checks and human review, 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 finance AI done right and accurately, that’s where dgm comes in.