How to Run a Software Audit for Your Houston Business

Phase 1: System Inventory (Day 1)

We catalog every piece of software your company uses — not just the ones IT knows about. This includes the ERP, CRM, project management tools, but also the Excel spreadsheets, Access databases, and personal scripts that people actually rely on. For each system, we document:

• What it does — primary function and business process it supports
• Who uses it — department, number of users, frequency of use
• How critical it is — what happens if it goes down for 24 hours?
• What it costs — licensing, maintenance contracts, and hidden labor

Phase 2: Architecture Mapping (Day 2)

We draw the connections. Which systems talk to each other? Which don't but should? Where is data duplicated across systems? Most importantly: where are the manual handoffs — the places where someone copies data from one screen to another, re-types information, or emails a file to trigger the next step?

These manual handoffs are your highest-ROI automation targets.

In a typical Houston industrial company, we find 5–15 manual handoffs that cost 40–80 hours per week combined. Automating even half of them typically saves $50K–$100K annually.

Phase 3: Risk Assessment (Day 3)

For each system, we evaluate four risk dimensions:

• Security posture: When was the last security patch? Is the vendor still providing updates? Are there known vulnerabilities?
• Compliance exposure: Does it meet your regulatory requirements (SOX, HIPAA, OSHA, PHMSA)? Can it produce audit trails?
• Single points of failure: If this system crashes, does the business stop? Is there a backup? How long would recovery take?
• Knowledge risk: Does only one person understand how it works? What happens when they leave?

Phase 4: Total Cost of Ownership Analysis (Day 4)

We calculate the true cost of each system — not just the licensing fee, but the full financial picture:

• Hours spent on manual workarounds per week × hourly labor cost
• Training time for new employees (in weeks, not days)
• Lost productivity from downtime, slow performance, or complex UIs
• Opportunity cost — what could your team build if they weren't maintaining legacy systems?
• Vendor lock-in costs — what would it cost to switch if you had to?

We consistently find that the "hidden" costs (labor, workarounds, opportunity cost) are 2–5x higher than the visible costs (licensing, maintenance contracts).

Phase 5: Recommendation Report (Day 5)

We deliver a prioritized action plan that categorizes every system into one of four buckets:

1. Keep: Systems that work well and are cost-effective — don't fix what isn't broken
2. Modernize: Systems with solid cores that need API wrappers, UI updates, or cloud migration
3. Replace: End-of-life, insecure, or more expensive than modern alternatives
4. Consolidate: Multiple tools doing the same job that should be merged into one