Your roadmap to AI-ready data.
Three tiers of service, six pillars of scope, and an ongoing cadence that keeps your systems fresh long after we hand off.
Every tool, every dataset, and every dashboard is tagged with an owner. The original workbook is always yours — a permanent reference for your business.
Every week an owner asks me the same question: "What is this actually going to cost me?" The honest answer is that it depends less on the AI itself and more on the state of your data going in. Here's the CPA-view breakdown.
The four cost buckets
Every AI business solution — no matter which vendor you pick — collapses into four line items on the P&L: software subscriptions, one-time setup labor, ongoing labor, and the invisible cost of dirty data. Skip any one of them in your budget and the project overruns.
1. Software subscriptions
For a 5–50 person business, plan on **$30–$120 per seat per month** for the AI tier of tools you already own (Microsoft Copilot, Google Gemini for Workspace, HubSpot AI add-ons, QuickBooks Intuit Assist). New standalone tools — a call summarizer, a proposal writer, an inbox agent — typically run **$25–$75 per seat per month** each.
A realistic first-year software bill for a 15-person business running two or three AI tools lands between **$4,000 and $12,000**.
2. One-time setup labor
This is where budgets go sideways. Getting a tool live isn't the setup — getting your data into a state the tool can actually read is. Expect:
- **Data audit and mapping**: $1,500–$3,000
- **Cleanup of one core system** (books, CRM, or inventory): $5,000–$15,000
- **Integration and permissioning**: $2,000–$6,000
For most small businesses the honest one-time setup number is **$8,000–$25,000**, depending on how much cleanup the systems need.
3. Ongoing labor and governance
Someone inside the business — usually the owner or an operations lead — spends **2–5 hours per week** in the first six months learning the tools, adjusting prompts, and correcting outputs. After that, plan on **1–2 hours per week** for maintenance. If you don't have that person, budget for an outside advisor: **$500–$2,500 per month** for ongoing support.
4. The invisible cost of dirty data
This one doesn't show up on any invoice, but it's the single biggest cost driver. Every hour your team spends reconciling three versions of the customer list, correcting AI outputs built on stale numbers, or explaining to the model what "revenue" means in your business — that's a real cost. In the audits we run, small businesses lose **5+ hours per person per week** to this before AI is even in the picture. AI does not fix it; AI amplifies it.
What the payback math looks like
A useful rule of thumb from the CPA seat: an AI implementation should pay for itself in labor recovery inside **12–18 months**. That's the number to test any vendor pitch against.
Take a 15-person business spending $20,000 on setup and $8,000/year on software and ongoing support. To break even in 18 months, you need to recover roughly **$30 per person per week** in labor — about 45 minutes of billable time per person per week. If the tool clears that bar, it's a real ROI story. If it doesn't, it's a science project.
Where to start
If you don't know your data state yet, don't buy the AI tools first — the software will sit unused. Start with the audit. It's the cheapest line item on this whole list, and it's the one that tells you which of the other numbers are real for your business.