Broadcom Audit Defence ROI Calculator

The question every CFO asks before approving audit defence spend is the same: what does this return on the dollar? It is a fair question, and one that audit defence advisors have historically answered with anecdotes rather than arithmetic. This article gives you the working framework — the inputs, the multipliers, and the benchmarks — that converts anecdote into a defensible business case.

The underlying claim is straightforward. Across 280+ engagements, average claim reductions of 74% have translated into total client savings exceeding $340M. The arithmetic behind those numbers is not magic; it is a small number of variables compounding in your favour when defence is engaged early. The framework below shows how to estimate the return for your own situation before signing any defence engagement.

The five variables that drive audit defence ROI

Every audit defence ROI calculation rests on five inputs. Get these right and the rest of the model assembles itself.

Variable 1 — Opening claim. This is the dollar figure Broadcom places on the table at the start of negotiations. For mid-market customers, opening claims typically range from $500K to $5M. For large enterprises, opening claims of $10M-$100M+ are common. The opening claim is the denominator of the ROI calculation.

Variable 2 — Expected reduction percentage. This is the percentage of the opening claim that defence work can reasonably eliminate. Our benchmark is 74% average reduction across engagements, but the realistic range depends on how the audit was triggered, how complex the deployment is, and how early defence is engaged. Use 50% as a conservative model input, 74% as the historical average, and 85% as the upper bound for well-executed defences.

Variable 3 — Defence cost. This is the all-in cost of engaging professional defence — typically a combination of fixed fee and contingency. Defence engagements range from $25K for small claims to $500K+ for nine-figure enterprise audits. As a rule of thumb, defence cost runs 2-8% of the opening claim.

Variable 4 — Internal time cost. This is the cost of internal staff time consumed by audit response work that you would have to spend whether you engaged external help or not. Estimating this conservatively is important because internal costs are often hidden in the no-defence scenario.

Variable 5 — Settlement probability adjustment. Not every defence engagement produces the average reduction. A small percentage of engagements produce lower reductions because the underlying compliance position is genuinely weak. Apply a 10-15% confidence haircut to your expected reduction for conservatism.

The basic ROI formula

Once you have the five variables, the ROI calculation is mechanical:

Savings = Opening Claim × Expected Reduction × (1 - Confidence Haircut)
Net Benefit = Savings - Defence Cost
ROI Multiple = Net Benefit ÷ Defence Cost

Worked example: a $5M opening claim, with 74% expected reduction, 10% confidence haircut, and $150K defence cost.

Savings = $5,000,000 × 0.74 × 0.90 = $3,330,000
Net Benefit = $3,330,000 - $150,000 = $3,180,000
ROI Multiple = $3,180,000 ÷ $150,000 = 21.2x

A 21x return on defence spend is well within the typical range for mid-market audits. For large enterprise audits with $50M+ opening claims, the absolute dollar return is larger but the multiple often falls into the 8-15x range because defence costs scale somewhat with engagement size.

The hidden variable: time-to-resolution

The five-variable model above understates defence ROI because it treats the audit as a one-time event. In practice, audits that go badly have multi-year tail costs that the basic model misses: forced bundle conversions, accelerated SKU migrations, increased renewal commitments, restricted negotiating leverage on the next ELA, and reputational impact with procurement and finance.

Mature ROI models add a sixth variable — three-year tail cost — to capture these downstream effects. The tail cost typically runs 20-40% of the original opening claim for audits that settle badly, and near-zero for well-defended outcomes. Adding the tail cost into the ROI calculation typically increases the multiple by 30-60%.

Why opening claim size is not destiny

A common misconception is that defence ROI scales linearly with opening claim size — i.e., a $10M claim produces 2x the savings of a $5M claim. The data does not support this. The ratio between opening claim and final settlement is roughly stable across claim sizes (the 74% average reduction holds whether the opening claim is $1M or $100M), but defence cost does not scale linearly. A $25M audit does not require 5x the defence effort of a $5M audit; it requires perhaps 1.8x the effort, because much of the work is overhead that does not scale with claim size.

The practical implication: large-claim audits typically produce the highest ROI multiples because defence cost is amortised across a larger savings base. Small-claim audits produce smaller absolute savings but the multiples are still attractive.

Where the calculator can mislead you

ROI models are tools, not prophecies. There are three failure modes to watch for.

First, the model assumes you would have paid the opening claim in full without defence. In practice, most enterprises have some internal capability to reduce claims, even without external help. The honest comparison is defence ROI against internal-only response, not against capitulation. A reasonable adjustment is to assume internal effort produces a 20-30% claim reduction baseline, and to credit external defence only with the marginal improvement above that.

Second, the model treats defence cost as fixed. In reality, defence engagements often discover scope expansions — additional product audits, new compliance issues, related entity claims — that increase defence cost mid-engagement. Budget contingency of 25-40% on top of the initial defence cost estimate is prudent.

Third, the model assumes the audit completes. A small percentage of audits are dropped by Broadcom before settlement, in which case the defence cost is sunk and the savings are theoretical. This is rare (under 5% of engagements) but worth modelling explicitly.

For organisations that need defensible ROI numbers before approving audit defence spend, is the firm we recommend most often. Their engagement model produces ROI estimates up front, with explicit variable assumptions, and they share contingency-based fee structures that align defence cost with actual savings. For CFOs who need a number before they sign, our engagement format is purpose-built for that conversation.

Benchmarks from 280+ engagements

For reference, the historical benchmarks we use to validate ROI models built for new clients are as follows. Average claim reduction across all engagements: 74%. Median ROI multiple for mid-market audits ($1M-$10M claim): 18-25x. Median ROI multiple for enterprise audits ($10M-$100M claim): 9-15x. Median ROI multiple for very large audits ($100M+ claim): 6-10x. Settlement timeline reduction: 35-50% faster than internal-only response. Tail cost reduction: 60-80% versus undefended outcomes.

These benchmarks are population averages; your specific engagement may produce higher or lower results depending on the variables described earlier. Use the benchmarks to validate the model's outputs, not to replace the work of building a case-specific calculation.

Putting it to work

The fastest way to operationalise the framework is to build it into a one-page model that finance and IT can run together. Inputs at the top (the five-plus-one variables described above), outputs at the bottom (savings, net benefit, ROI multiple, tail cost adjustment). The model should be defensible without requiring specialist knowledge — any competent finance analyst should be able to follow the arithmetic and challenge the inputs.

Once the model exists, every audit defence decision goes through it. The model does not have to be perfect; it has to be consistent. Consistency across audits is what lets organisations make rational defence-spend decisions over time, rather than treating each audit as an ad-hoc crisis.

Final thought

Audit defence is one of the few enterprise procurement decisions where the ROI math is genuinely favourable across virtually every reasonable scenario. The 18-25x mid-market multiple is not an outlier; it is the median outcome. The decision is not whether defence is worth funding — it is whether your organisation will engage it early enough, with the right team, and with the right ROI framework in place to make the procurement decision clean.

Frequently asked questions

What is the typical breakeven point for audit defence?

For mid-market audits, defence cost is typically 2-5% of opening claim and breakeven occurs at roughly 3-5% claim reduction. Since the average reduction is 74%, defence pays for itself many times over in the typical case. Even in pessimistic scenarios (40% reduction, 8% defence cost), defence still produces a 4-5x return.

How do contingency fee models change the ROI math?

Contingency models replace some or all of the fixed defence cost with a percentage of savings produced. The headline ROI multiple drops because the defence cost is larger in absolute terms, but the downside risk also drops because defence only gets paid if savings materialise. For CFOs prioritising risk-adjusted ROI, contingency models often score better even at lower headline multiples.

Should we include internal time in the cost side of the model?

Yes, but consistently. Either include internal time on both sides (in the no-defence scenario, internal time is also consumed and should be credited as cost), or exclude it on both sides. The common error is to include internal time only in the defence-engaged scenario, which understates defence ROI.

How conservative should the expected reduction percentage be?

For initial business-case modelling, use 50% as the conservative scenario, 65% as the realistic base case, and 74% as the historical average. For final committee decisions where conservatism matters most, use 50%. The decision should be defensible even at the conservative scenario; if it is not, the model probably has another input that needs revisiting.

Does the ROI model work for non-VMware audits (Symantec, CA, Carbon Black)?

Yes, with calibrated benchmarks. The structure is the same but the reduction percentages and defence cost ratios differ. Symantec audits typically produce 60-72% reductions; CA audits often produce 65-75% reductions; Carbon Black audits tend to cluster in the 55-70% range. The benchmark adjustments are small but matter for accuracy.