AN FLCPA.AI Venture Studio Project Built for Small Business

Get Your Business Data AI-Ready.

Small Biz Data helps owners turn scattered spreadsheets, paper invoices, and three different customer lists into clean, structured data that AI can actually use — led by a CPA who understands both your books and the technology.

Customer details spread across your books, CRM, email and spreadsheets.
Hours every week lost to retyping and fixing data by hand.
87%
of small business owners already use at least one AI tool, and 30% say a lack of AI know-how holds them back
Source: Bluehost, State of Small Business AI Confidence, May 2026 (350 U.S. owners)

Certified & Integrated With 300+ Software Platforms

Our Approach

Seven Steps to AI-Ready.

A practical, sequential process for getting your business data in shape — whether you're starting from scratch or cleaning up years of accumulated mess.

01

Take Inventory

Map every place data lives — QuickBooks, spreadsheets, email, POS, CRM, paper files. You can't fix what you can't see.

02

Clean & Standardize

Standardize names, addresses, dates, and codes. Remove duplicates. Fill gaps. Establish naming conventions going forward.

03

Centralize & Structure

Move toward a single source of truth. Convert scattered PDFs and free-text into structured, AI-readable formats.

04

Govern Access

Decide who can access what. Protect customer PII. Choose AI tools that don't train on your inputs.

05

Document Processes

Write down how the business actually runs. Context turns generic AI into something that understands your business.

06

Pilot the Wins

Start with bookkeeping categorization, customer comms, or cash flow forecasting. Repetitive, low-stakes, high-value.

07

Build Feedback Loops

Spot-check AI outputs. Capture corrections. Improve over time. Trust is earned by the AI, not assumed.

Each step comes with a plain-English playbook and a workbook your team can use.

Where Do You Stand?

Score Yourself First.

Our AI-Readiness Checklist walks the seven steps as a self-assessment — 37 questions on a four-point confidence scale. Most owners find gaps in several of the seven steps on their first pass. That's normal.

0–33% of points

Foundation Needed

There's high-value work to do before AI tools will deliver real ROI. Start with a Data Audit. See Services →

34–65% of points

Cleanup Ready

Solid base. A Cleanup & Setup engagement gets you to your first AI pilots in about 8–14 weeks. See Services →

66–100% of points

Pilot Ready

You have a strong foundation. Time to focus on AI pilots and ongoing advisory. See Services →

Service Tiers

Three Ways to Start.

Whether you need an initial assessment, hands-on cleanup, or an ongoing partner — there's an engagement that fits.

Tier 01 — Start

Data Audit

Fixed fee · $1,250–$2,750 · most land at $2,000
  • Full inventory of where data lives
  • Risk & redundancy report
  • AI-readiness scorecard
  • Prioritized cleanup roadmap
  • 90-min walkthrough call
Timeline: 2–3 weeks from kickoff to report
Start Here
Most Popular
Tier 02 — Build

Cleanup & Setup

Project-based · $5,500–$22,000
  • Everything in the Audit, often credited
  • Hands-on data cleanup
  • System consolidation
  • Naming & governance standards
  • Two AI pilot implementations
  • Staff training & 60-day support
Timeline: 8–14 weeks depending on scope
Get Started
Tier 03 — Partner

Ongoing Advisory

Monthly retainer · $750–$2,750/mo
  • Quarterly data health reviews
  • New AI tool evaluation & rollout
  • Vendor & security oversight
  • Priority support
  • CPA-led financial integration
Commitment: 90 days initial, then month-to-month
Inquire
Data Audit

What a Data Audit Usually Turns Up.

  • A system no one owns

  • Data with no backup

  • Someone using a free AI tool with customer information

Ready to Make Your Data Actually Useful?

Book a free 30-minute assessment. We'll walk through your current data situation, spot the highest-leverage fixes, and give you a clear path forward — no commitment.

No commitment · No technical jargon · 30 minutes