Most R&D consulting firms run on a stack of generic tools: a spreadsheet for expenditure, a Word template for the technical narrative, a shared drive for evidence, and a CRM bolted on the side. It works, in the sense that claims get lodged. But it leaves a lot on the table, and it leaves a lot of room for error.

Overlander Capital is built differently. The firm runs on proprietary software developed in-house, designed specifically for the way R&D Tax Incentive work actually happens. The result is faster, cheaper, and more compliant claims for the companies we work with.

Faster.

Every R&D claim follows the same arc: scope the activities, structure the methodology, gather the evidence, calculate the expenditure, draft the registration, prepare the schedule. In a generic toolset, each of those steps is a separate exercise. Open a different file, copy data between systems, reconcile by hand. The cumulative drag is significant.

In our system, the arc is the workflow. The activities you scope flow into the methodology you structure. The methodology determines the expenditure categories. The expenditure feeds the schedule. The evidence sits alongside each activity, attached at the point of capture rather than reassembled at the end. The narrative draws from the same source data as the numbers.

What that means in practice: an engagement that takes a generalist firm six to eight weeks of elapsed time, we typically run in two to three. Not because we cut corners, but because the friction between steps has been engineered out.

Cheaper.

Most R&D consulting fee structures are built around hours. The longer the work takes, the more the client pays. That model has a quiet incentive problem, but more importantly, it bakes in the cost of inefficiency.

When the workflow is faster, the work is cheaper to deliver. We pass that through. Overlander's fees are structured to reflect the scope and complexity of the claim, not the time it took us to assemble it. For most clients that translates to a meaningfully lower total fee than they'd see from a comparable firm running a manual stack, with no compromise on the quality of the output.

It also lets us take on engagements that wouldn't make economic sense on an hourly model. Smaller claims, second-opinion reviews, ongoing compliance support. Work where the time investment under a generic toolset would price the client out, but where a streamlined workflow keeps it economically viable.

More compliant.

The compliance benefit is the one that took us the longest to appreciate, and it's the one that matters most.

In a manual workflow, the link between the activity, the expenditure, the evidence and the narrative is reconstructed at the end, usually weeks or months after the work was done. Memory fades. Files get renamed. The person who ran the experiment leaves the company. The reviewer who calculated the apportionment isn't the one who drafts the methodology.

In our system, the linkage is captured at the point of work and preserved through to lodgement. Every expenditure line traces back to a registered activity. Every activity carries its evidence with it. Every methodology decision has a date, an author and a rationale attached. When AusIndustry or the ATO ask the questions that a serious review brings, and increasingly, they do, the answer is in the file, not in someone's recollection.

That's the standard we hold ourselves to. It's not a standard you can reliably hit on a generic stack.

What this means for the way we work with you.

You don't need to learn the software. You don't need to log into our system or change the way your team captures their R&D activity. The benefit flows to you through the way we run the engagement: shorter timelines, lower fees, and a claim that's built to withstand review from day one.

What you see is the output: a registration, a schedule, a working file that holds together. What we see is the workflow that produced it. The point of building the tooling ourselves was never to put a product between us and the client. It was to remove friction from our side so we could spend more time on the parts of the work that actually need our judgement.

That's the firm we're trying to be. Deeply technical where the technical work matters, and quiet about the infrastructure that makes the rest of it run.

If you'd like to see how that translates into an engagement on your R&D programme, get in touch.