The Systems Readiness Assessment
Most businesses don't fail at AI because the tools don't work. They fail because their workflows, data, and operating standards weren't ready for them — and nobody checked before the vendor showed up. This assessment tells you exactly where your systems stand, including what your data governance and security posture look like, before you spend money finding out the hard way.
AI Won't Fix an Operating System That Isn't Ready for It
Construction operators, manufacturers, and logistics companies across Ohio and the US are under pressure to add AI. The software vendors are loud. The pressure from ownership and boards is real. And the advice from most consultants is to start with the tools.
That advice is wrong, and it's expensive when it fails.
AI amplifies what's already there. If your estimating data is inconsistent, AI will amplify inconsistent estimates. If your job cost entries are late and incomplete, AI will amplify late, incomplete data. If nobody owns your process documentation, AI will amplify the chaos. Broken systems don't get fixed by layering automation over them — they get broken faster.
The question isn't "which AI tool should we buy?" The question is "are our systems ready for what AI will do to them?"
The Systems Readiness Assessment answers that question. Directly, in writing, with a ranked list of what to fix and in what order — before the tools go in.
A Structured Operational and Security Audit. Not a Conversation.
The Systems Readiness Assessment is a 2–3 week structured engagement. It requires real access to how your business actually operates — not what the org chart says or what you plan to do.
Based in Findlay, Ohio, I work with construction, manufacturing, and logistics operators from $2M to $50M in revenue. The assessment covers both the operational side — your workflows, process documentation, data quality, and team structure — and the information assurance side — your data governance, access controls, and AI vendor security posture.
Most AI readiness assessments stop at the operational layer. This one doesn't. An MS in Information Assurance means I look at what happens to your data when AI tools touch it — not just whether your workflows are documented.
"We're considering AI tools but I don't know where to start or what we need to fix first."
"We bought software and it didn't stick. I don't know what went wrong."
"I don't know where we're losing money until it's too late to do anything about it."
"We had a data incident and realized we have no idea what data is where or who can access it."
"My best estimator — or floor supervisor or dispatcher — is the only one who knows how things really work."
"We keep making the same mistakes. Nobody captures what went wrong or documents anything."
Five Deliverables. One Clear Picture.
Every Systems Readiness Assessment delivers five things. No filler, no vague recommendations. Each deliverable is specific to your operation.
Operational Workflow Review
A structured review of your current workflows and process documentation — estimating, job costing, production scheduling, dispatching, invoicing, or whatever is central to your operation. What's documented. What lives in someone's head. Where the key-person dependencies are. What's consistent and what isn't.
Data Quality and Governance Review
An assessment of your data layer — the data your operation actually produces and whether it's in a state that can support AI. Are your job cost entries complete and timely? Is your production data accessible? Do you know who owns your operational data, where it lives, and what "clean data" would even look like for your operation?
AI Readiness Scorecard
A scored assessment across five dimensions: workflow documentation, data quality, process consistency, team structure, and technology posture. The scorecard shows where you're solid, where you have gaps, and which gaps matter most before adding AI. Each score comes with a plain-English explanation.
Data Governance, Access Controls, and AI Vendor Security
This is what most AI consultants skip. The IA module covers: Who owns your data and who can access it? What are you agreeing to when AI vendors touch your operational data? Are your access controls appropriate for an AI-enabled environment? What's your current security posture relative to the data governance requirements of AI tools you're considering? Construction estimating data, shop floor production data, and carrier integration data all carry exposure that most operators don't inventory before signing vendor agreements.
Prioritized Fix Roadmap
A specific, sequenced action plan: what to fix first, where AI fits once you've fixed it, and what to defer until the foundation is right. Not a generic checklist — a roadmap built around your operation, your constraints, and your timeline. Includes a 90-minute debrief call where we walk through findings and you can ask every question you have.
Tiered by Company Size. Scoped in Discovery.
Pricing is tiered by annual revenue because operational complexity scales with size. A $4M GC and a $30M manufacturer have meaningfully different scopes — different numbers of workflows, data environments, and team structures to review. The tier determines the base price. Scope confirms it in the discovery call.
For construction companies, manufacturers, and logistics operators under $10M. Focused review of 1–2 core operational areas plus the full IA module. Paid before work begins. No surprises.
For larger construction, manufacturing, and logistics operations. Broader review covering multiple departments and data environments plus the full IA module. Paid before work begins. No surprises.
If your operation needs a full AI Readiness Roadmap after the assessment — the 90-day execution plan built from the findings — that's the next tier at $8,000–$12,000. Most clients move from the assessment to the roadmap within 30 days of delivery.
Operators Running Real Businesses With Real Operational Complexity
The Systems Readiness Assessment is built for business owners and operators between $2M and $50M in revenue who are either considering AI tools or already using them without clear results.
- General contractors and specialty subcontractors navigating estimating, change orders, job costing, and field reporting
- Job shops, fabricators, and process manufacturers dealing with ERP data quality, scrap rate tracking, and production consistency
- 3PL operators, fleet owners, and distribution managers with route data, carrier integrations, and WMS systems that don't talk to each other
- Any operator who has felt AI pressure from vendors or ownership and needs a clear, honest answer before committing budget
You are not a startup. You are not an enterprise with a dedicated IT department. You are a business owner or operator running something real — and you want to know what to fix before you layer AI into an operation that isn't ready for it.
Before You Decide
Do I need to have AI tools already?
No. Most clients come in before buying anything. That's the point. The assessment tells you what to fix before you spend money on tools — and which tools actually make sense once the foundation is right.
Is this confidential?
Yes. Nothing you share is referenced publicly without your explicit permission. The assessment is a diagnostic engagement, not a case study.
What if I'm not ready for AI at all?
That's a valid finding — and the most valuable one possible. You'll know exactly what to fix and in what order. Most operators who aren't ready yet are six to twelve months from being ready if they address the right things first. Knowing that before you spend on tools is worth more than the assessment costs.
What's the difference between this and the AI Readiness Roadmap?
The Assessment diagnoses the gap. The Roadmap is the 90-day execution plan to close it. The Assessment is always first — you can't build a useful roadmap without knowing where you actually stand. Some clients do both in sequence. Some take the assessment report and execute it internally.
What does the information assurance module actually cover?
It covers data governance (who owns what and where it lives), access controls (who can get to your operational data and under what conditions), and AI vendor security posture (what you're agreeing to when AI tools touch your data). For most operators, this is the part of the assessment they've never had anyone look at — and where the most unexpected exposure sits.
Start With a Thirty-Minute Conversation
No pitch. A direct diagnostic conversation about where your operation stands and whether the Systems Readiness Assessment makes sense for your situation. If there's a fit, we confirm scope and price. If there isn't, you'll leave with a clearer picture than you walked in with.
Book a Discovery Call Take the Free Assessment First