---
title: "Enterprise AI and Data Readiness Assessment | Fusemachines"
description: "A fixed-scope AI and data readiness assessment that scores your data, platform and governance, and ranks AI use cases by value and effort."
url: https://fusemachines.com/ai-solutions/ai-assessment/
last_updated: 2026-10-06
---

AI and data assessment

# Know where AI will pay off before you build.

A fixed-scope diagnostic that scores your readiness and ranks AI use cases by value and effort, so you invest in the work most likely to reach production.

[Book an assessment](https://fusemachines.com/ai-solutions/ai-assessment/#book-an-assessment)

What we assess

## Four areas that decide whether AI ships.

- ### Data
  Where your data lives, how complete and clean it is, and what it would take to make it usable by AI.
- ### Platform
  Your cloud, data stack, integrations and MLOps, and whether they can support models and agents in production.
- ### People and governance
  The skills on your team, who owns AI decisions, and the policies needed to run AI safely.
- ### Use cases
  The AI opportunities across your business, each scored by expected value and the effort to deliver it.

Use case prioritization

## Every use case, ranked by value and effort.

This is how the assessment ranks use cases. Select one to see how it was scored. Scores shown are illustrative.

**Fast impact** High value, low effort

**Strategic investments** High value, high effort

**Incremental gains** Low value, low effort

**Reassess later** Low value, high effort

Recommended next step

Technical review

## What we examine, and what you get back.

This is how the assessment ranks use cases. Select one to see how it was scored. Scores shown are illustrative.

![Fusemachines](https://fusemachines.com/assets/images/2026/fusemachines-logo-primary-blue.svg)AI and data assessment Section 2 · Technical findings

Contents

2.1

### Data foundations

Area 01 · Data

**Finding.** IoT sensor data falls below the readiness threshold of 60 on every measure, and web analytics needs consistency fixes before modeling.

**Figure 2.1** Data quality score by source, 0 to 100

Below threshold

CompletenessFreshnessConsistency ERP948891 CRM867278 POS819064 Web analytics629558 IoT sensors384529

Key figures

**71** Overall data readiness score

**5** Sources profiled

**2** Sources need remediation

Illustrative excerpt. Figures do not describe a real client. Page 06 of 24

What you get

## A clear answer on what to build first.

Scorecard

### Readiness score

Where you stand on data, platform, people and governance, with the gaps that matter most.

Portfolio

### Ranked use cases

Every candidate use case plotted by value and effort, so the fast-impact moves and strategic investments are obvious.

Roadmap

### Delivery plan

A sequenced plan for the top use cases, including the data and platform work each one needs.

Readout

### Executive briefing

A working session with your leadership to walk through findings and agree next steps.

How it works

## Fixed scope, fixed timeline, no build commitment.

Step 1

### Discover

We interview your business and technical leads and agree on the goals the assessment should serve.

Step 2

### Assess

We review your data, systems and processes and score readiness in each area.

Step 3

### Prioritize

We size each use case by value and effort and rank them with your team.

Step 3

### Recommend

We present the scorecard, ranked use cases and roadmap to your leadership.

AI and data assessment

## Tell us where you are. We’ll show you where AI fits.

Share a few details and our team will get in touch to scope your assessment.

Thanks you!

Your AI & Data Assessment request has been received. Our team will be in touch shortly with the next steps.