# Responsible AI use in cost segregation work Where AI tools help in a cost segregation study, where they cannot replace evidence and judgement, and the rules a practice should set before using them. ## Short answer AI tools can help a cost segregation practitioner read faster, organize evidence, draft text and check arithmetic. They cannot walk the site, see what a drawing omits, decide a classification on the facts and the law, or take responsibility for the result. The IRS's Audit Techniques Guide puts preparation by a person with expertise and experience first among the elements of a quality study and expects documentation, take-offs, legal analysis and reconciliation that a person can defend; an examiner will ask the preparer, not the tool. Used well, AI shortens the housekeeping and leaves more time for the judgement. Used badly, it is a rule of thumb with a better vocabulary. This article sets out where the tools help, where they do not, and the rules a practice should adopt before using them on client files. It is general education, not legal or tax advice. ## Where AI tools help | Task | What the tool can do | What the practitioner still does | |---|---|---| | Reading documents | Extract line items from pay applications and invoices, summarize contracts, find the placed-in-service evidence in a pile of permits | Verify every extraction against the source; keep the source in the file | | Organizing the file | Build the document index, flag missing documents against a checklist, keep the request log | Decide what to request and judge what the gaps mean | | Take-off support | Measure from digital drawings, tally quantities, check units | Confirm on site; catch what the drawings omit | | Drafting | First drafts of methodology, limitations and classification memos from the practitioner's notes | Rewrite for accuracy; supply the reasoning and the authority | | Arithmetic and consistency | Reconciliation checks, unit-cost date and region checks, internal consistency between the asset list and the report | Investigate every difference; decide the fix | | Research | Locate primary sources and summarize them | Read the source; never cite from a summary | | Review preparation | Compare the file against the IRS guide's list of elements | Perform the review | ## Where AI tools do not substitute - **The site visit.** No tool sees what is there. Photographs and field notes come from a person who stood in the building. - **Classification judgement.** Whether an item serves the building or the business is a legal question decided on facts. A tool can propose; a person with the law decides and writes the reason. - **Cost support.** A tool can apply unit costs; only a person can decide that the source is right for the place and date and that the quantity is real. - **Responsibility.** The report identifies a preparer with credentials and experience. Circular 230's competence and diligence standards apply to practitioners who practice before the IRS, and written advice must rest on reasonable factual and legal assumptions. A tool is not competent or diligent; the person using it is or is not. - **Client confidentiality.** Tax return information is protected; disclosure or use without consent is restricted. Putting a client's closing statement into a service whose terms allow it to retain or train on the data may be a disclosure. Read the terms and get consent where needed. ## The test for any AI-assisted output Ask three questions of anything a tool produced that will appear in the file. 1. **Can I trace it to a source in the file?** An extracted cost traces to the invoice; a summarized rule traces to the primary source; a proposed classification traces to the facts and the law. 2. **Would I write this myself, and do I understand why it is right?** If not, it is not yours to sign. 3. **Would it survive the examiner's request?** The guide tells examiners to request the workpapers and to examine the basis for classifications and costs. "The tool said so" is not a basis. Output that fails any of the three goes back to the practitioner's desk. ## Rules a practice should adopt - **Confidentiality first.** Approved tools only, with terms reviewed for retention and training; redact identifiers where possible; consent where the rules require it. - **Sources stay primary.** Any rule or case cited in a report is read in the original by a person. Summaries are for finding sources, not for citing them. - **Every extraction is verified.** Sampling is not enough for figures that enter the reconciliation; each one is checked against the document. - **The tool is named in the workpapers, not in the report as authority.** The file records what was used for what; the report identifies the person responsible. - **Judgement is written by hand.** Classification reasons, the limitations section and the methodology description are the practitioner's own words, because they will be the practitioner's own answers under examination. - **Review is unchanged.** A reviewer reads an AI-assisted file exactly as any other, starting with the reconciliation. - **No "AI study" products.** A study generated from a questionnaire and a property type is a rule of thumb, whatever generated it. The IRS guide treats that approach as the least reliable. ## A worked example A practitioner receives forty pay applications for a renovated apartment building. A tool extracts every line item into a table in minutes, a task that used to take a day. The practitioner then does three things the tool cannot. First, checks a sample of extractions against the documents and, finding two transposed amounts, checks every line that feeds the reconciliation. Second, reads the line descriptions with the drawings and the site notes to decide which electrical work serves the building and which serves equipment, because the pay application's trade headings do not answer that question. Third, records in the workpapers that the extraction was tool-assisted and verified, and writes the classification reasons in their own words. The study is faster and no less the practitioner's own. Had the table gone straight into the asset list, the two transposed amounts would have reached the report, and the electrical line would have been classified by a heading rather than by function. ## Confidentiality in practice The confidentiality question deserves its own procedure rather than a line in a policy. Before a client document enters any tool, someone confirms that the tool's terms do not permit retention or training on the content, that the account is the practice's and not an individual's, that identifiers not needed for the task are removed, and that the client's engagement letter or a separate consent covers the use where the rules require it. The practice keeps a list of approved tools and the date each was reviewed. Tax return information carries its own statutory protection, and a preparer's convenience is not a defense. ## How NBCSS uses automation itself NBCSS uses automated checks in its own assessments only to assist: deterministic checks and scoring support are applied, and a human decision-maker records the award or the decline with the evidence. Automated checks never adjudicate. The same line is the one this article draws for practice: let the tool do what can be checked, and keep the decision with a person who can be asked why. ## Signs of over-reliance - Classification memos that cite no authority a person has read. - Costs that trace to a model's output rather than a document. - A limitations section that does not mention the estimating method because the practitioner does not know it. - Client documents in tools nobody reviewed for confidentiality. - A preparer who cannot explain an item in the asset list without opening the tool. ## What people ask on Reddit and other forums The searches that lead people to these threads are usually phrased "AI cost segregation", "cost segregation software vs engineer", "automated cost segregation". "Can ChatGPT do my cost seg" appears in "cost segregation reddit" threads on r/realestateinvesting and r/tax. From the sources below: **"Can AI do a cost segregation study?"** No. It can read, organize, draft and check. The site visit, the classification judgement, the cost support and the responsibility are a person's. **"What about the AI-powered cost seg products?"** A study generated from a questionnaire and a property type is a rule of thumb whatever generated it, which the IRS guide treats as the least reliable approach. **"Is it okay to upload my closing statement to an AI tool?"** Tax return information is protected and preparers face restrictions on disclosure. Read the tool's terms on retention and training, and ask about consent. **"Should a practitioner disclose AI use?"** Confidentiality rules apply regardless; the engagement letter should describe methods, and a client who asks deserves a straight answer. ## Questions people also ask ### Can AI do a cost segregation study? No. It can help with reading, organizing, drafting and checking. The site visit, the classification judgement, the cost support and the responsibility are a person's, and the IRS guide's elements of a quality study assume that person exists. ### Is it acceptable to use AI to draft the report? Drafting from the practitioner's notes is a reasonable use if the practitioner rewrites for accuracy and supplies the reasoning. The report's judgement sections should be the practitioner's own words. ### Do I have to disclose AI use to the client? Confidentiality rules govern what you may do with client information regardless of disclosure. Beyond that, the engagement letter should describe your methods, and a client who asks deserves a straight answer. ### Can AI verify sources for me? It can find them. Reading and verifying them is the practitioner's job; citing from a summary is how wrong rules enter reports. ### Does NBCSS forbid AI in the Practitioner Program or assessments? Program activities and assessments have their own rules, published to members, on what assistance is allowed. In NBCSS's own scoring, automation assists and a person decides. ## Sources - https://www.irs.gov/pub/irs-pdf/p5653.pdf — IRS Publication 5653, Cost Segregation Audit Techniques Guide (Rev. 2-2025): Chapters 3, 4 and 5. - https://www.irs.gov/pub/irs-pdf/pcir230.pdf — Treasury Department Circular No. 230: §10.22, §10.35, §10.37. - https://www.law.cornell.edu/uscode/text/26/7216 — 26 U.S.C. §7216, disclosure or use of information by preparers of returns. - https://nbcss.org/standards — NBCSS standards and governance: assessment parts and decision. ## Related reading - [Why universal percentages fail in cost segregation](/articles/why-universal-percentages-fail) - [Working with reviewers on a cost segregation study](/articles/working-with-reviewers) - [The evidence a cost segregation study needs](/articles/evidence-a-cost-segregation-study-needs) - [Maintaining professional competence in cost segregation](/articles/maintaining-professional-competence) - [Who is qualified to perform a cost segregation study?](/articles/who-is-qualified-to-perform-a-cost-segregation-study) - [Standards and governance](/standards) --- Canonical: https://nbcss.org/articles/responsible-ai-use-in-cost-segregation Published: 2026-09-25 · Last content change: 2026-09-25 Not professional advice: general educational information from the National Board of Cost Segregation Specialist (NBCSS); not accounting, tax, legal, financial, investment or engineering advice. 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