Capture evidence close to the event, with dates, authors and original source records intact.
Software-supported R&D evidence management
Build the technical record while the work is happening.
An R&D evidence system should help engineers, product teams and managers preserve the actual sequence of uncertainty, hypotheses, experiments, observations, decisions and costs. It should not manufacture a claim after the event.
Software is an evidence-management tool, not an eligibility engine.It does not determine whether an activity or expenditure is eligible for the R&D Tax Incentive, and it cannot guarantee registration, a tax offset, tax savings, funding or any other outcome. Qualified tax and legal advisers should assess proposed claims. The company remains responsible for complete, correct records and submissions.
The operating problem
Evidence is strongest when it remains connected to the technical work.
Australian Government guidance says R&D records should be created when the activity is conducted, and should link the activities performed, people and resources involved, timing and related expenditure. The ATO separately requires records supporting notional deductions and how amounts were calculated. That is an operating-design challenge, not merely a year-end document exercise.
Connect the technical question to the experiment, observation, decision, contributor and cost evidence.
Give management and specialist advisers a coherent record without hiding uncertainty, failures or later changes.
Original framework
The nine-part evidence chain.
The framework below is designed around how technical work moves, while preserving the information advisers may need to examine later.
Describe what could not be determined in advance from available knowledge, information or experience. Attach background searches, expert input and known limitations.
State the proposed explanation or approach before the test. Separate the technical proposition from the commercial objective.
Record the method, variables, controls, expected observations, resources, dates and people responsible.
Preserve measurements, logs, screenshots, test reports, samples and field notes. Record what occurred, not what the team hoped would occur.
Keep abandoned paths, defects, negative results and unexpected outcomes. They can explain why the next technical decision was made.
Link—not replace—original files in code repositories, issue trackers, lab systems, design tools, email, project platforms and finance systems.
Record who performed and reviewed work, their role, when work occurred and the basis for any time or cost allocation.
Retain prior hypotheses, methods and conclusions. Log substantive edits with author, time and reason rather than silently overwriting the record.
Use scheduled checks to identify missing evidence, unresolved contradictions, unsupported allocations and access-control issues while they can still be corrected.
Practical workflow
A repeatable evidence cycle for each technical question.
Open an uncertainty record
Assign an owner and unique identifier. Record the current knowledge gap, commercial context, known alternatives and source research before experimentation begins.
Define the hypothesis and test
Write the proposed relationship or solution, method, variables and expected observation. Link the planned work to the relevant project or activity.
Capture work at source
Let contributors attach or link commits, tickets, designs, notebooks, machine logs, photos, data files, emails and invoices from the systems where they were created.
Record observations—including failure
Use dated entries for results, deviations and unsuccessful attempts. Preserve raw records and distinguish direct observation from later interpretation.
Evaluate and decide
Document what the result means, whether it supports the hypothesis, what changed and why the next test or conclusion follows.
Attribute people, resources and costs
Identify staff, contractors, equipment, materials and expenditure connected to the work. Keep the source for calculations and any apportionment method.
Run management review
Check completeness, chronology, version history, source links, access, retention and unresolved gaps. Record the reviewer and review date.
Prepare an adviser-ready pack
Export a structured index and linked evidence set for qualified advisers. Keep the software record factual; advisers perform the eligibility and claim assessment.
Evidence checklist
Minimum questions to answer before closing a record.
- Is the technical uncertainty described before the result?
- Is the hypothesis specific and testable?
- Does the experiment record method, variables and expected observations?
- Are raw observations and original source records linked?
- Are failed, abandoned and inconclusive tests retained?
- Can a reviewer identify who did what and when?
- Are staff and contractor contributions supported?
- Are equipment, material and other resource uses recorded?
- Can expenditure be traced to source transactions and activities?
- Are apportionment calculations and assumptions preserved?
- Does the version history show meaningful changes?
- Has management reviewed completeness and contradictions?
- Are privacy, confidentiality and security controls appropriate?
- Can qualified advisers inspect the evidence without relying on a generated narrative alone?
Management controls
Automation should support judgment, not conceal it.
| Control | What software can do | Human responsibility |
|---|---|---|
| Required fields | Prompt for uncertainty, hypothesis, method, observation and contributor details. | Confirm entries are meaningful and technically accurate. |
| Source linkage | Connect evidence from project, code, document and finance systems. | Confirm the link identifies the right activity and source record. |
| Version control | Timestamp edits and retain prior versions. | Explain material changes and prevent retrospective rewriting. |
| Exception reporting | Flag missing tests, owners, reviews or cost links. | Resolve gaps and decide whether the record is fit for adviser review. |
| Generated summaries | Draft indexes and factual chronologies from approved records. | Verify every summary against source evidence; do not treat generated text as proof. |
| Claim preparation | Package records for review. | Qualified tax/legal advisers assess eligibility and claims; management approves submissions. |
Data handling
R&D evidence can contain personal, confidential and security-sensitive information.
Privacy and retention
Map what personal information is collected, why it is needed, who can access it, where it is stored and how long it should be retained. The OAIC advises organisations to use layered security measures across the information lifecycle and to destroy or de-identify personal information when it is no longer required, subject to lawful retention needs.
Separate program record-retention obligations from broader “keep everything” habits. Government R&DTI guidance says R&D records need to be kept for five years after claiming expenditure.
Cyber security
Use role-based access, multi-factor authentication, secure backups, patching, audit logs and tested recovery procedures appropriate to the sensitivity of technical records. The Australian Signals Directorate’s small-business guidance emphasises controls such as multi-factor authentication, software updates and backups.
Do not send trade secrets, personal information or privileged material into an AI service without approved terms, access controls and a clear data-flow review.
Preparation for specialist advisers
Give advisers evidence they can interrogate, not a polished story they must reverse-engineer.
Unique identifiers, dates, owners, core/supporting relationships where relevant, and links to each evidence set.
Uncertainty → hypothesis → experiment → observation → evaluation → conclusion, including failures and changed direction.
Source transactions, staff/contractor basis, allocation methodology, adjustments and reconciliation to accounting records.
This preparation can reduce discovery time, but it does not transfer responsibility to the software provider. Advisers should have access to original records and be free to challenge the company’s descriptions, assumptions and calculations.
Primary sources
Guidance used for this framework.
Sources checked 15 August 2026. Page publication and update dates appear above.
Primary guidance on contemporaneous records, activity and expenditure links, people, resources, examples of records and five-year retention.
Read the official guidance →Primary tax guidance on records supporting R&D expenditure and calculations.
Read the ATO guidance →Primary privacy guidance for security across the personal-information lifecycle.
Read the OAIC guide →Primary practical cyber-security guidance for small businesses.
Read the ACSC guide (PDF) →Frequently asked questions
Questions management teams should ask.
Does R&D evidence software decide eligibility?
No. It can improve capture, traceability, review and preparation. It cannot determine eligibility or guarantee registration, tax benefits or funding. Qualified tax and legal advisers should assess claims.
Why keep failed experiments?
A failed or inconclusive test is part of the technical history. It shows what was tried, observed and learned, and may explain a later change of method. Removing failures can distort the record.
Can AI write the technical narrative?
AI may assist with indexing or drafting from approved records, but generated text must be checked against original evidence by people who understand the work. A fluent summary is not a substitute for contemporaneous source records.
Which existing tools can feed the system?
Code repositories, issue trackers, laboratory notebooks, test platforms, design systems, document stores, email, project software, time records and finance systems. The aim is controlled linkage, not unnecessary duplication.
When should management review records?
At defined project intervals and before a technical record is closed. Reviews should be frequent enough to correct missing contributors, source links, chronology or cost evidence while the facts remain available.
Related construction evidence
Apply the evidence chain to low-carbon project trials.
The field guide to structured project records for low-carbon construction trials shows how baselines, materials, site conditions, defects, decisions and lessons can remain connected from design through handover.
Part of the operating system
Evidence management should fit the way the business works.
This is one focused use case within a broader AI and business operating-system approach. If you are deciding where systems and human controls can improve the business, start with the Daniel Roberts homepage.
Important boundaryDaniel Roberts provides systems and operating-design support, not a determination of R&DTI eligibility. Obtain qualified tax and legal advice before preparing or lodging any claim.
R&D evidence-system review
Make record keeping part of the technical workflow.
Tell me how your team records experiments, tests, decisions and costs. I can help design a practical evidence layer around the systems already in use.