Technology Cost Forecast Development
Predict your IT spend with precision. We build dynamic technology cost forecasts that model how hiring, growth, and usage spikes will impact your software and infrastructure budget.
- Quantity

Stop letting software bills surprise your cash flow.
Fred Lundin CPA offers specialized Technology Cost Forecast Development for businesses whose tech stack is growing faster than their budget. In a world of per-user pricing, usage-based APIs, and annual contract renewals, technology expenses can quickly become the second largest line item on your P&L after payroll.
We turn this volatile expense category into a predictable, manageable investment plan. We don't just tally up your current subscriptions; we model your future. We build a dynamic forecast that scales your technology costs alongside your growth plan.
Planning to hire 5 new salespeople? We show you exactly how that impacts your Salesforce, Slack, and email licensing costs. Expecting a traffic spike in Q4? We model the increase in your server and API usage fees.
Whether you are budgeting for a major ERP implementation or just trying to get a handle on "SaaS creep," we provide the financial clarity you need to scale your tech without breaking the bank.
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Frequently Asked Questions (FAQ)
Why is technology harder to budget than rent?
Rent is fixed. Technology costs are variable and "step-fixed." Adding one employee might trigger a need to upgrade your entire plan tier, causing a massive jump in cost. API costs fluctuate with traffic. We build models that account for these specific triggers so you aren't blindsided.
Does this include hardware planning?
Yes. We can include a Capital Expenditure (CapEx) schedule for hardware refreshes (laptops, servers) alongside your Operating Expense (OpEx) forecast for software subscriptions. This helps you manage cash flow for large purchases.
Can you help us negotiate contracts?
While we don't negotiate directly, our forecast gives you the data you need to negotiate effectively. Knowing your projected user count for the next 12 months allows you to confidently commit to an annual contract or volume tier for a discount.
How far out do you forecast?
We typically recommend a 12 to 24-month rolling forecast. Technology changes too fast to predict accurately beyond 2 years. We build the model so it can be updated quarterly as your business reality changes.
Is this useful for startups raising money?
Crucial. Investors scrutinize your "Unit Economics." If your tech cost per customer (e.g., server cost per user) is too high, it kills your scalability. We help you model these unit costs to prove your business model is viable at scale.


