This module provides reusable templates for common tax communications, including weekly Form 1120 updates, pre-deadline filing check-ins, and provision close updates. It covers how to write specific subject lines, organize completed items and open items, identify blockers, and close with clear next steps. The module also shows how to adapt update structure based on the audience and purpose, from routine preparation updates for tax and finance teams to deadline-focused messages that support file-or-extend decisions. The goal is to make tax updates more consistent, scannable, and action-oriented.

This module focuses on writing clear, effective tax support requests for cross-functional teams. It explains how to identify the right source team, state exactly what information is needed, explain why the request matters, and set a clear deadline or follow-up pattern. The module includes examples involving trial balances, estimated tax payments, officer compensation, legal matters, fixed assets, and state revenue or payroll data. It emphasizes using plain business language so non-tax teams understand what to send, why it is needed, and how delays may affect the filing or close process.

This module covers how to adapt tax communication for different audiences by translating technical terms into plain business language when needed. It explains how to clarify terms such as Schedule M-1, apportionment, ETR, timing differences, permanent differences, Section 179, and deferred tax assets or liabilities for non-tax stakeholders. The module also addresses common communication mistakes, including vague status language, buried status, unsupported estimates, missing asks, and conclusions that exceed the writer’s authority. The focus is on making tax messages accurate, audience-appropriate, and easier to understand and act on.

This module introduces the core principles of building audit-ready tax support packages. It defines an audit package as a clear, traceable support chain rather than a collection of documents. The module focuses on the path from return line to workpaper, source document, and authority, and explains why broken links create review delays and rework. It also covers the importance of standardized processes, complete support, and closing open reviewer comments or audit requests so the package is easier to review and defend.

This module covers the standard folder structure and naming conventions used to organize an audit-ready tax support package. It introduces the eight-folder package layout, including folders for the index, returns, workpapers, source documents, reviewer notes, correspondence, authorities, and reference materials. The module also explains how to classify files correctly, distinguish primary authority from reference material, apply version control, retain only reviewed correspondence, and flag source documents that may require anonymization before external sharing. The focus is on making the package predictable, consistently named, and easy for reviewers to navigate.

This module focuses on building and evaluating traceability from tax return positions to supporting workpapers and source documents. It introduces the traceability matrix as the central tool for proving where a return amount came from and whether the support ties to source data. The module includes examples for gross receipts, officer compensation, charitable contributions, depreciation, and Schedule M-1 federal tax expense. It also covers how ONESOURCE return positions connect to Excel workpapers and source documents, and how to assess whether support is complete, current, and reviewable.

This module covers how to manage audit and examiner requests using a structured request tracking log. It explains how to record request IDs, dates, requestors, subjects, statuses, response dates, and response references so open and completed items are easy to monitor. The module also addresses common reasons audit packages are returned for revision, including missing workpaper references, workpapers that do not tie to source data, inconsistent anonymization, missing support, unanswered reviewer notes, citation errors, and unclear version control. The focus is on closing every loop, preventing avoidable rework, and creating a repeatable year-end process for stronger audit readiness.

In this module, early-career tax staff and tax professionals establish the core principles governing ethical AI usage in daily practice. Learners analyze the critical risks associated with pasting client information into public AI systems, contrasting generally available tools with closed, firm-approved enterprise environments. Through workflow decision rules, readings, and guided dialogues, participants practice recognizing hidden data fragments, using synthetic case data as a safe default, and applying the three foundational rules for ethical AI integration: using synthetic inputs, labeling AI-generated drafts, and escalating confidentiality breaches immediately.

This module equips learners with an operational framework for categorizing corporate tax materials based on sensitivity and handling requirements. Utilizing a structured four-tier model—Restricted, Confidential, Internal — Routine, and Public—learners examine how to properly classify tax documents, ONESOURCE entries, and spreadsheet exports. Through practical classification exercises and case scenarios, participants explore handling rules for each tier, establish conditions for conditional AI eligibility, and reinforce the critical compliance rule that copying or exporting tax data to external file formats (such as Excel, PDF, or CSV) never overrides or reduces its baseline security classification.

In this practical, workflow-focused module, learners apply end-to-end procedural controls across the life cycle of AI-assisted tax deliverables. Participants perform pre-use file hygiene on complex Excel workfiles, checking formula paths, hidden tabs, notes, and metadata to ensure sensitive fragments are scrubbed before prompt entry. Through diagnostic activities, role-plays, and scenario evaluations, learners practice applying mandatory controls—including prompt anonymization, draft labeling, primary-source citation verification, and strict human review for tax positions and client-facing releases—preventing routine drafting assistance from escalating into legal or liability failures.

This module prepares tax professionals to navigate complex workplace ethical dilemmas, interpersonal pressures, and policy reporting pathways. Learners evaluate realistic tensions involving deadline pressure, supervisor requests to adjust return positions, prior-year error discovery, and peer AI policy breaches. Through Socratic dialogues and interactive role-plays, participants build confidence in professional communication—learning how to address policy violations privately with colleagues, document substantiation gaps, decline inappropriate requests, and select the correct escalation pathways across compliance, information security, and technical leadership channels.

This module introduces the intake-first workflow used in tax consulting deliverables. You will examine why early-career analysts should begin with structured fact gathering instead of jumping straight into analysis, and you will practice recognizing role boundaries, scope creep, and the difference between factual support and recommendations.

This module focuses on the 15-question intake framework used to shape a tax consulting engagement. You will learn how each question helps define scope, timing, stakeholders, risk, and document needs, and you will practice spotting missing facts before analysis begins.

This module shows how to turn intake conversations and notes into a clear, usable intake record. You will practice completing an intake form, distinguishing confirmed facts from provisional information, and making open items visible so the file is ready for follow-up and review.

This module covers how to draft a non-advisory finance memo from completed intake and supporting workpapers. You will learn the seven-part memo structure, practice using neutral language to present facts and options, and identify wording and workflow mistakes that can create review or scope risk.