Find a useful starting point
Surface relevant accounting and valuation precedent from the firm’s internal body of work, then focus the team’s research on the facts that matter.
Human-led by design
Technology supports the work. Professional judgment owns the conclusion.
We use AI to reduce friction in research, comparison, and drafting, not to replace professional analysis, client context, or partner review. Every client deliverable remains subject to the same evidence, quality controls, and accountable decision-making as the rest of our work.
Improve the first draft
Organize complex questions, compare source material, develop outlines, and help teams move toward a more useful first pass.
Keep judgment accountable
Experienced professionals evaluate the facts, support the position, and stand behind every conclusion provided to a client, auditor, lender, or board.
A practical operating model
Useful when the issue is complex and the deadline is not moving.
Grounding
AI can accelerate research and drafting, but the applicable accounting literature, valuation inputs, engagement facts, and supporting evidence remain the basis for the work.
Review
AI-assisted work is evaluated by the engagement team and, when appropriate, by a partner before it is used in a client deliverable.
Responsible use
Each use case is considered in light of firm policies, engagement requirements, and client confidentiality obligations before sensitive information is used.
Where it helps
More time for analysis, review, and decisions.
The firm’s custom internal large language model is informed by a library of thousands of technical accounting memoranda and valuation reports. It helps professionals navigate relevant precedent while keeping client-specific facts and authoritative sources at the center of the work.
- Research navigationLocate potentially relevant precedent and identify the literature and facts that require closer review.
- Document comparisonReview large document sets, compare terms, and organize differences for professional analysis.
- Draft developmentBuild outlines and early drafts that engagement teams can test, refine, and support.
- Quality-control supportCheck consistency, surface missing support, and focus reviewer attention on consequential assumptions and conclusions.
AI helps our teams spend less time searching for a starting point and more time applying judgment to the decisions that affect financial reporting and valuation.
AI output is not treated as authoritative guidance or a final conclusion. Experienced professionals remain responsible for relevance, accuracy, support, and practical application.
Start a conversation
Bring us the reporting or valuation matter behind the deadline.
We can discuss the facts, the review path, and where experienced support may help.