Why Engineering Firms Are Suddenly the IRS's Favorite Target

The IRS did not pick engineering firms at random. After the 2026 mandate requiring project-level reporting on Form 6765 took effect, every credit claim now carries a granular paper trail that examiners can pull apart line by line. Engineering work is unusually attractive to auditors because the boundary between routine design and qualified research is genuinely fuzzy. A bridge load analysis, a finite-element simulation, or a new connection detail can look like ordinary professional services on the surface while actually satisfying the four-part test under IRC §41. That ambiguity is exactly what the IRS exploits when it disallows claims, and it is exactly what weak documentation cannot defend.

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The Tax Adviser has long noted that architects and engineers are an under-claiming population, while Exactera's write-up of George v. Commissioner shows what happens when a taxpayer tries to assemble that documentation retroactively after the fact. The court rejected the taxpayer's contemporaneous records and the credit evaporated. The lesson is not that engineering firms cannot qualify; it is that the documentation must exist at the time the work is performed, not at the time the return is filed.

The Four-Part Test, Translated for Engineers

Every R&D credit claim under §41 has to clear four hurdles, and each one needs its own evidence bucket. The first is the business component test: the work must relate to a new or improved business component with respect to function, performance, reliability, or quality. For an engineering firm, a business component is usually a designed system, a structural assembly, a process, a software model, or a prototype. The second is the technological in nature test: the uncertainty must be fundamentally technological, not stylistic or market-driven. Choosing between steel and concrete for cost reasons fails; resolving an unknown lateral-torsional buckling behavior in a tapered member passes.

The third hurdle is the process of experimentation test: the firm must evaluate alternatives through modeling, systematic trial and error, or simulation, and reach a conclusion that could not be known in advance. The fourth is the permitted purpose test: the business component must be intended for a new or improved function, performance, reliability, or quality. Documentation has to map cleanly to each of these four prongs, and the mapping has to be visible to an examiner who has never seen the project before.

What "Contemporaneous" Actually Means in 2026

Contemporaneous does not mean "we kept our invoices." It means time-stamped evidence that a qualified engineer was working on a qualified uncertainty on a specific date, using a specific method, and reaching a specific conclusion. The IRS has been explicit, and George v. Commissioner reinforced the point, that reconstructions created during a study or after an exam notice are treated as self-serving and given little weight. Acceptable contemporaneous evidence typically includes dated project notebooks, version-controlled model files, internal technical memos, design review minutes, email threads discussing alternatives, time-tracking entries tied to qualified activities, and payroll records allocating those hours to specific W-2 employees.

The 2026 project-level reporting requirement makes this even more pointed. Each research activity now needs a business component identifier, a research activity description, the wage expense allocated, the supply expense, the contract research expense, and the computational software expense. Firms that ran on annual summaries in 2023 are now being asked to produce project-by-project ledgers, and many cannot.

The Documentation Stack That Actually Holds Up

A defensible documentation system for an engineering firm has six layers, and skipping any one of them creates a soft spot. The first layer is project intake: a one-page form capturing the client's problem, the technological uncertainty, the proposed approach, and whether the four-part test is likely satisfied. The second is time tracking: hourly codes that distinguish qualified research from routine design, with employee-level allocation rather than project-level averages.

The third layer is technical narrative: short memos written by the engineer of record at the conclusion of each phase, describing what was tried, what failed, what was learned, and what was adopted. The fourth is model and simulation evidence: version history of finite-element models, computational fluid dynamics runs, or analysis spreadsheets, with the parameter changes preserved. The fifth is supply and contract research records: invoices for prototype materials, software licenses tied to qualified projects, and Form 1099-NEC filings for any university or subcontractor research. The sixth is financial reconciliation: a quarterly tie-out between qualified hours, wage rates, and the credit calculation, signed by a controller or CPA.

Comparing Documentation Approaches

ApproachCost (relative)DefensibilityEngineering fit2026 readiness
Spreadsheets + DropboxLowWeakPoorFails project-level reporting
Generic time-tracking (Toggl, Harvest)Low–MediumWeakModeratePartial
Project-management suite (Procore, Deltek)MediumModerateGoodRequires configuration
Dedicated R&D credit software (CodeROI, Exactera, CreditFairy)Medium–HighStrongStrongBuilt for 2026 mandate
Outsourced study by Big Four or regional CPAHighStrongStrongStrong, but annual
Hybrid: internal capture + annual CPA studyMedium–HighStrongStrongStrong
The right answer for most mid-sized engineering firms is the hybrid model: capture project-level data internally throughout the year, then hand a clean dataset to a CPA firm each January for the credit calculation and Form 6765 preparation. Pure outsourcing works but is expensive and creates a single point of failure if the consultant leaves. Pure internal capture fails because most engineers are not trained to write credit-quality narratives.

Common Mistakes That Disqualify Otherwise Valid Claims

The single most common mistake is conflating qualified research with all engineering labor. If a structural engineer spends 1,800 hours on a project and 600 of those hours are routine code-compliance checks, only the 600 hours tied to genuine technological uncertainty qualify. Allocating 100% of hours is the easiest way to invite a §280C reduction and a 20% accuracy-related penalty under §6662. The second mistake is failing to identify the business component. A claim that says "we did R&D on a building" is not a claim; a claim that says "we developed a new base-isolation connector with 40% improved damping over the prior detail" is.

The third mistake is claiming foreign contract research without proper documentation. Under §41(d)(4)(F), 65% of foreign contract research can be included only if the foreign research is conducted for a U.S. business purpose and the taxpayer maintains records showing the location, the researcher, and the activity. Many engineering firms outsource simulation work to India or Eastern Europe and lose the credit entirely because they cannot produce those records. The fourth mistake is claiming supplies that are not actually consumed in research. A laptop used for two years of design work is not a qualified supply; a sensor destroyed during a one-week prototype test is.

How AI Is Changing the Documentation Game

AI is doing two things to R&D credit documentation, and they pull in opposite directions. On the compliance side, platforms like CodeROI and Exactera now use natural-language processing to scan project files, email, and time-tracking systems and auto-generate the four-part test narratives that used to take a consultant 40 hours per project. Crowe's writing on human-centered AI argues that this automation is only as good as the underlying data, and that examiners are already trained to spot boilerplate AI-generated narratives. The defensible approach is AI-assisted drafting with engineer review, not AI-only generation.

On the substantive side, AI is itself creating new R&D opportunities for engineering firms. Machine-learning surrogate models that replace expensive finite-element runs, generative design tools that explore thousands of structural configurations, and digital-twin simulations that predict long-term behavior are all potentially qualified activities if they involve technological uncertainty and process of experimentation. Alvarez & Marsal's 2025 piece on AI and the R&D credit argues that the firms treating AI as a documentation tool are leaving the bigger credit on the table: the AI work itself often qualifies.

When to Act and What It Costs

The right time to start is before the first project of the fiscal year, not before the CPA engagement in December. A documentation system that begins in March cannot retroactively create contemporaneous evidence for January and February, and George v. Commissioner is the controlling case on why that matters. For a firm with 25 engineers and $6 million in annual revenue, a reasonable budget is $25,000 to $60,000 per year for a hybrid documentation-and-study approach, with the credit itself typically recovering 5% to 10% of qualified research wages. At the federal level, the regular R&D credit is 6% to 10% of qualified research expenditure over the base amount, and many states add another 2% to 6%.

The 2026 project-level reporting mandate is not a soft deadline. Firms that file Form 6765 without the required project identifiers and activity descriptions are facing rejected filings and increased audit exposure. The IRS has signaled, through its own published guidance and through the George litigation, that documentation quality is now the primary differentiator between claims that survive and claims that do not. Engineering firms that treat documentation as an annual chore will continue to under-claim or over-claim and lose on both ends. Firms that treat it as a project-delivery discipline, embedded in the same workflow as drawing revisions and model updates, will capture credit they are already earning and withstand the audit that is increasingly likely to come.

The Bottom Line for Engineering Principals

If you are a principal at an engineering firm reading this in August 2026, the question is not whether you are doing R&D. You almost certainly are, on most of your non-routine projects. The question is whether you can prove it on a Tuesday morning when an examiner asks for the time-stamped memo, the model version history, and the wage allocation for a specific business component on a specific project from 2024. If the answer is no, the credit you did not claim last year is gone, and the credit you claim this year is at risk. The fix is not a consultant; it is a workflow change, supported by the right software and reviewed by the right CPA. Everything else is paperwork.