When Should You Stop Paying for SaaS? A Cost Model for Ops and Finance Leaders

Every subscription looks cheap on the day you sign it. Fifty dollars per user per month is a rounding error next to payroll. The problem is that SaaS costs are not a purchase — they are an annuity you pay for as long as your business exists, and they scale with the thing you most want to grow: headcount.

At some point, most growing companies ask the obvious question: when does it make more sense to own the software instead of renting it?

This article answers that with arithmetic rather than instinct. We'll build a SaaS cost model, price custom development using Softermii's APEX agentic AI engineering approach, add the ongoing cost of ownership that most comparisons quietly omit, and calculate where the crossover actually sits.

The assumptions behind every number here

Transparency first. Four inputs drive the whole model:

• $50 per user per month. This is the base-case SaaS assumption used for the comparison — a mid-market seat price, not a universal SaaS market average. Your actual per-seat cost may be considerably higher or lower, and the model is sensitive to it.
• $40 per hour. The client-provided Softermii blended development rate, used throughout.
• Up to 5× faster delivery. Softermii reports that its APEX agentic AI engineering approach can build up to five times faster than traditional software development.
• Ongoing support at $2,000 per month. A flat monthly rate for Softermii's APEX Evolve support package for 3 years.

Part 1: What your SaaS subscription actually costs

Start with the part that's easy to calculate.

Monthly SaaS cost = Number of users × $50

Annual SaaS cost = Number of users × $50 × 12

Three-year SaaS cost = Number of users × $50 × 36

A 100-person company pays $180,000 over three years for one tool at one seat price. Most companies do not run one tool. Cledara's March 2026 benchmark puts the median company at 25 active SaaS subscriptions, with firms of 50–500 employees spending roughly $250–$350 per employee per month across their whole stack. Vertice tracks annual SaaS spend per employee at $9,324 in Q2 2026.

The costs the pricing page doesn't show

The table above covers the base subscription only. Depending on the vendor and your setup, a realistic budget may also need to absorb:

• Integrations — connectors, middleware, or API work to make the tool talk to your other systems
• Implementation and configuration — often a one-time professional-services fee
• Data migration — moving history in, and eventually out
• Premium modules and tiers — the feature you actually need sitting one plan above the one you bought
• External reporting tools — because native reporting rarely matches how you run the business
• Administration — someone's time spent on user management, permissions, and vendor relationships
• Training — onboarding new hires onto the tool, repeatedly
• Manual workarounds — the spreadsheets, copy-paste steps, and side processes that exist because the tool doesn't quite fit
• Subscription price increases — Zylo reports that 79% of IT leaders faced a price increase at renewal in the prior 12 months
• Switching costs — what it takes to leave, which is exactly why vendors can raise prices

We're deliberately not attaching dollar amounts to these; they vary too much to guess responsibly. But they are real, and leaving them out biases the comparison toward SaaS.

One more number worth sitting with: Zylo found organizations use just 54% of their SaaS licenses on average, and Vertice reports that 14% of applications go completely unused while 51% are underutilized. A meaningful share of that annuity buys nothing at all.

Part 2: What Softermii Custom development costs

Custom software inverts the cost shape. You pay a larger amount up front and a smaller amount to run it, instead of a smaller amount forever that grows with your headcount.

The base formula:

Estimated Softermii APEX development cost = Estimated APEX engineering hours × $40 blended rate

To illustrate what the speed claim means in budget terms:

Softermii APEX-equivalent effort (illustrative) = Traditional development hours ÷ 5

Softermii APEX development cost (illustrative) = (Traditional development hours ÷ 5) × $40

Worked example. Suppose a project is estimated at 2,000 engineering hours under traditional delivery:

• Softermii APEX-equivalent effort: 2,000 ÷ 5 = 400 hours
• Softermii APEX development cost: 400 × $40 = $16,000

Read that as a simplified scenario, not a quote. Two caveats matter a great deal.

First, "5× faster" describes delivery speed, and delivery speed does not always translate into a perfectly proportional reduction in billable hours. Some work compresses dramatically under agentic AI engineering — scaffolding, boilerplate, test generation, documentation, first-pass implementations. Other work does not compress at the same rate: stakeholder alignment, regulated-domain review, security hardening, third-party integration debugging, and change management all still run on human clock speed.

Second, actual speed and cost depend on scope, complexity, integrations, security requirements, compliance obligations, data readiness, and stakeholder availability. A project where requirements shift weekly and approvals take a fortnight will not be delivered five times faster no matter what tooling is applied.

Keep hosting, security, third-party services and future enhancements out of the initial development estimate and budget them separately. Support gets its own section below, because it's the number that decides most of these comparisons.

As Softermii positions it: the APEX agentic AI engineering approach can help teams build, launch, and scale up to five times faster than traditional development. Combined with a $40 blended development rate, this can materially change the initial cost calculation for suitable custom software projects. Actual cost and delivery time still depend on the project's scope, complexity, integrations, and compliance requirements.

Part 3: The break-even model

Here's the calculation most finance leaders reach for first:

Subscription-only break-even (months) = Initial Softermii Custom development cost ÷ Monthly SaaS subscription cost

Using the 100-user example:

• SaaS cost: 100 × $50 = $5,000 per month
• Softermii APEX development cost (illustrative): $16,000
• Subscription-only break-even: $16,000 ÷ $5,000 = 3.2 months

On paper, the build pays for itself in a quarter. That number is real arithmetic — and it is not a complete comparison. It answers one narrow question: how long until the build cost equals the subscription line item? It says nothing about what happens in month four and every month after.

A responsible decision has to price both sides fully, over the same time horizon, for the same scope and functionality. On the Softermii Custom side: hosting, maintenance and support, future development, security and compliance work. On the SaaS side: implementation and integration fees, internal administration, data migration and switching costs, workflow inefficiency, and price increases at renewal. On both sides: residual or resale value where applicable, and the business value of owning the software and its intellectual property.

Part 4: Adding support — where the comparison gets honest

Everything above compares a recurring cost against a one-time cost, which is the trick that makes custom software look better than it is. Owned software has a run rate too.

Softermii's APEX Evolve support package covers that run rate. Per the APEX page, it includes 24/7/365 infrastructure monitoring and optimization, ongoing product development, performance tracking, code reviews, continuous QA, weekly or bi-weekly releases, and monthly product reviews. This model uses a flat $2,000 per month. It's an entry-level rate that scales with scope, not a ceiling — major architectural work sits in a separate package (APEX Scale, from $10,000), and hosting fees and third-party services remain yours.

Now the break-even formula has a real number in it:

Adjusted break-even (months) = Initial Softermii Custom development cost ÷ (Monthly SaaS cost − Monthly support cost)

And it produces a threshold that matters more than any single scenario. At $50 per seat, support alone consumes your entire subscription until you reach 40 users. Below that, ownership costs more than renting before you've written a line of code — the break-even never arrives, however modest the build cost.

Above it, the picture depends on build size:

That clustering is the real finding. At $50 per seat, the crossover sits somewhere around 45 to 60 users across a wide range of project sizes — because support cost, not build cost, dominates the equation. Nearly tripling your build budget moves the threshold by roughly ten users. Doubling your seat price roughly halves it.

Part 5: Three scenarios

Notice what changes across the three columns. It isn't only the money. It's whether the standard product still matches how the business runs.

Part 6: The signals that actually matter

Cost triggers the question. Fit answers it. Consider a serious evaluation when several of these are true at once:

1. Headcount growth is repricing the tool. Your subscription grows linearly with hiring while the value it delivers doesn't.
2. You're paying for workarounds. Spreadsheets, manual re-keying and side processes exist to bridge gaps the tool leaves. Those hours are a real cost, and they compound.
3. Integration is the bottleneck. You're paying middleware fees, or engineering time, to make tools that should cooperate actually cooperate.
4. You need a feature the vendor will never build. Your differentiating process is the thing the standard product handles worst.
5. Renewal is a negotiation you keep losing. Price increases you can't refuse are a symptom of switching costs you never priced.
6. You're paying for capacity you don't use. If half your licenses are dormant, fix that first — it may resolve the problem entirely and cost nothing.

Equally, there are strong reasons to stay: the tool genuinely fits, the category is commoditized (payroll, email, accounting), the vendor's compliance certifications would be expensive to replicate, or your team has no capacity to own a product. Custom software does not always deliver a lower total cost of ownership, and building something you'd rather rent is an expensive way to prove it.

How to run the comparison fairly

Use the same time horizon, the same scope, the same functionality and the same cost categories on both sides. It's easy to build a spreadsheet that makes either option win. Three years is a reasonable default horizon. Include ongoing costs for both. Include the value of owning your data and IP — and be honest that it's an estimate.

Then treat the output as a decision aid, not a verdict. A 5.3-month payback means Softermii Custom is worth a serious conversation. It doesn't mean you should start building on Monday.

The bottom line

At $50 per user per month, the crossover sits at roughly 45 to 60 users for most project sizes. Below it, the economics favour SaaS and the arithmetic isn't close — a 25-person team would spend $81,600 over three years to own what it could rent for $45,000. Above it, the gap opens fast: at 250 users, three-year subscription costs of $450,000 against an all-in Softermii Custom total of $100,000 are hard to dismiss.

Two structural points matter more than any single number. Support cost is flat; subscription cost is not. The $2,000 monthly retainer doesn't grow when you hire, and it doesn't get renegotiated upward at renewal. And build cost matters less than you'd think — because ongoing cost dominates, tripling your project scope shifts the crossover by about ten users.

Softermii's APEX approach changes this calculation by compressing the initial development effort that historically put custom software out of reach for mid-sized companies. It does not eliminate the ongoing cost of ownership, and it does not guarantee any particular outcome for any particular project — actual results depend on scope, complexity, integrations, and compliance requirements.

Run the numbers with your real seat count, your real subscription price, and a properly scoped estimate. Then decide on fit as much as on cost.