The Brutal Truth About What It Costs to Fix Your Company's Tech.

If you’re an Operating Partner at a Private Equity firm or a CEO running a mid-market company ($10M - $100M), you are likely caught in a massive technology trap. Your operations are growing, but your systems are breaking. You have "Zombie Data"- information that your company collects but does absolutely nothing to help you make actual decisions.

Eventually, you have to ask the inevitable question: How much is it going to cost to finally fix our tech?

And the honest answer is frustrating: It depends.

Most mid-market companies are stuck in the "Middle Market Void". They are too big for rigid, off-the-shelf software (like generic EMRs or ERPs) to fit their workflows perfectly, but they are too small to justify a massive internal tech team. Because of this, they attempt to run complex 2026 operations using 1998 Excel spreadsheets and disconnected data silos.

When leaders finally decide to fix this, they usually fall into one of two incredibly expensive traps:
Trap 1: The $600k+ Payroll Burden: Leaders think the solution is to hire their way out. They try to recruit an elite internal tech team - a full-time Chief Technology Officer, a Lead Integration Engineer, and a Data Scientist. Overnight, you’ve added a $600k+ payroll burden to your books, and you still have to wait months for them to build the actual infrastructure.

Trap 2: The "Per Diem" Dev Shop Trap: The alternative is outsourcing the build to a generic IT or development shop. Here is the industry secret nobody talks about: Most outsourced IT shops charge by the hour. We call this the "Per Diem" trap, and it structurally punishes efficiency. They have zero financial incentive to actually solve your problem quickly because they make more money the longer it takes to untangle your messy data. Furthermore, because generic dev shops don't understand your specific industry, you have to waste hours acting as a "translator" between your operational pain and their code.

The OMT Solution: Fractional Digital Transformation

At Old Mission Technologies (OMT), we believe you shouldn't have to buy a massive payroll, and you shouldn't pay a dev shop to monetize your confusion. We don't sell hours; we sell operational uptime and Predictive Certainty. OMT was battle-tested inside a highly regulated clinical healthcare environment. We natively understand complex compliance (like HIPAA and CMMC 2.0), utilization metrics, and secure logistics. We don't need a translator. We act as a "Special Operations" strike team to turn your chaos into clarity.

Here is exactly how our Value-Capture Model works, and what it costs:

• The 5-Day Diagnostic ($2,500): We don't guess, and we don't start writing expensive code blindly. We start with a rapid, low-friction audit of your "Zombie Data." In 5 days, we map your legacy systems, uncover hidden regulatory or financial risks, and deliver a clear "Roadmap to Automation" before you commit to a major build.
• Fixed-Fee Data Bridges : Once we know the problem, our engineers step in to do the heavy lifting. We build the secure "API bridges" that connect your stubborn legacy EMRs or ERPs so they finally talk to modern portals. Because we price this as a fixed project, you know exactly what the infrastructure costs without the fear of hourly overruns.
• ROI-Vision™ (Fractional CTO): For companies that desperately need a $250k brain but don't want the FTE cost. I act as your Strategic Integrator. I sit in your board meetings, guide your technical strategy, and our team builds a "Unified Truth Dashboard". We replace your static, end-of-month PowerPoint decks with a live, interactive neural center that proves your unit economics.
• The Success Kicker (1-3%): To ensure our incentives are perfectly aligned with your bottom line, we negotiate a small performance bonus based only on the actual capital we recover for you or the financial penalties we help you avoid. So, if you are out here Googling "cost of a fractional CTO" or "how to fix my company's data"- stop comparing hourly development rates. Start asking if you are paying for endless coding, or if you are paying for an infrastructure that actually gives you answers.
  

So, if you are out here Googling "cost of a fractional CTO" or "how to fix my company's data" - stop comparing hourly development rates. Start asking if you are paying for endless coding, or if you are paying for an infrastructure that actually gives you answers.