We use cookies

Essential cookies keep this site running. With your consent, we'll also use analytics and marketing cookies to improve your experience. See our Privacy Policy.

Cookie settings

Choose which cookies we can use. Essential cookies are always on because the site can't work without them. Your choice is saved for 6 months.



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

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 impactHigh value, low effort
Strategic investmentsHigh value, high effort
Incremental gainsLow value, low effort
Reassess laterLow 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.

FusemachinesAI 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
71Overall data readiness score
5Sources profiled
2Sources 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.

Connection Error. Please try again later

Thanks you!

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