01

Most Finance Teams Are Not Ready for AI

75% of finance teams are not yet AI-ready. Only 5% are operating AI-enabled finance today.*

30%
Stage 1
Disconnected
45%
Stage 2
Structured
20%
Stage 3
AI‑Ready
5%
Stage 4
AI‑Driven

In our experience, the gap is almost never about AI tools. It is about the three foundations that have to be in place first:
NetSuite usage, process standards around NetSuite, and data quality.

* Indicative distribution based on industry analyst surveys of finance organizations (Deloitte, Gartner, KPMG) and Bring IT engagement experience.

02

03

1 Stable 2 Friction 3 Pain Point 4 Critical
Order‑to‑Cash
RECOMMENDED
AR & Collections
RECOMMENDED
Month‑End Close
RECOMMENDED
Accounts Payable
RECOMMENDED
Contract Approval & Revenue Readiness
RECOMMENDED
04

Preview of the AI Maturity report

Bring IT
BRING IT
[Company Name]
AI Foundations
Maturity Assessment
[Month Year]
AI Foundations Assessment - [Company Name] bringitps.com
Bring IT
BRING IT
MATURITY ASSESSMENT - RESULTS
[Date]
AI READINESS TODAY
—
— complete the assessment —
1Disconnected
2Structured
3AI‑Ready
4AI‑Driven
 

Foundation profile radar chart NS Usage Operational Predictability Data Discipline Value Stream Clarity

Where to Start

AI Foundations Assessment - [Company Name] bringitps.com
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BRING IT
MATURITY ASSESSMENT - SUCCESSFUL STORIES
[Date]

SUCCESSFUL STORIES

A deep dive into a few of our clients and the results they reached.

Food & Beverage Manufacturing

A global food and beverage manufacturer with over $1B in revenue, running high-volume production across multiple plants.

70%
Less Time Spent Pulling Numbers Together
  • Production, inventory, and finance run in one system, not scattered spreadsheets
  • Plant and corporate teams work from the same real-time numbers
  • Month-end pulls straight from the system, no manual reassembly
Franchise (Fitness)

A boutique fitness studio franchise operating across multiple countries, opening new locations at a steady clip.

5 days
From Weeks to Days to Close the Books
  • A standard finance process every new studio inherits on day one
  • Consistent close and reporting regardless of country or operator
  • Onboarding a location in days, not months
Hospitality

A hotel franchise group operating across Europe, managing dozens of properties and subsidiaries under one parent.

99%
Clean Data Across Every Property
  • One governed chart of accounts and master data across all entities
  • Errors caught at entry, before they reach the close or an audit
  • Consolidation runs on data the team already trusts

Every result on this page rests on the same three foundations: how well NetSuite is used, how disciplined the processes around it are, and how clean the data flowing through it is. These are the prerequisites for AI readiness, and they are exactly where we start.

AI Foundations Assessment - [Company Name] bringitps.com
Bring IT
BRING IT
AI Foundations — 3-Week Roadmap
[Date]

[selected value stream]
Map and Diagnose
    Define the Solutions
      Sequence the Action Plan
        Most finance teams at Stage 1 or 2 are 3 to 6 months away from being AI-ready. A 30-minute call with our team will tell you exactly where your biggest gap is and what it would take to close it.
        Talk to an expert →