Live Webinar | Soundarya J. | Sep 18, 2026 | 01:00 PM EST | 60 Minutes 15 Days Left
Description
This session guides finance and accounting professionals through a five-part approach to using Claude across a complete budgeting and planning cycle — the T.R.A.C.E. framework. Attendees move through the cycle in sequence: setting up assumptions and planning logic, coordinating with departments, consolidating scattered inputs, explaining variances, and packaging results for leadership.
Topics addressed include:
Each part of the session includes prompt examples and shows how the way a request is framed changes the quality of what comes back. Because budget outputs are read and judged by people outside finance, unclear or inconsistent write-ups can undercut an otherwise solid plan. The session positions Claude as a way to speed up and standardize this writing and organizing work, while leaving all analysis and sign-off with the finance professional.
Areas Covered
Background
The annual budgeting cycle asks finance teams to move fast across many moving parts at once — building templates, gathering departmental numbers, writing narrative explanations, and pulling everything into a presentation leadership can follow. Much of this effort is repetitive and document-heavy rather than analytically difficult, which makes it a strong fit for AI support. This session lays out a structured way to bring Claude into the budgeting cycle stage by stage, so teams can cut down on manual drafting time while keeping ownership of every judgment call.
Why Should You Attend
Every budget cycle brings a familiar crunch — juggling templates, chasing department numbers, and writing commentary against the clock. Teams that bring AI into this workflow tend to spend less time on repetitive drafting and more time reviewing and refining, which shows up in cleaner documentation and stronger final presentations. If your budgeting process today is still built entirely on manual drafting at every step, this session lays out where and how to change that.
You will learn how to:
The session also flags common missteps — publishing AI-drafted commentary without checking it against source figures, and leaning on generic templates that don't reflect how your organization actually reports.
Who Should Attend
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