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AI Agent Readiness Scorecard | NJC Labs
AI Readiness Series
Interactive Self Assessment

Is your company ready for AI agents?

Score your organisation across the five dimensions that decide whether an AI agent creates real value or real risk. It takes about ten minutes, and your weakest area matters more than your average.

The Scorecard

Grade each dimension from 0 to 2

Open any dimension to see what strong readiness looks like, the warning signs, and the questions to ask your team.

What your score means

Your maturity level

AI agent readiness is a journey. Your total places you on one of four levels, each with a distinct focus for what to do next.

Select all five scores above to see where you land.
The one rule: Your readiness is limited by your weakest area, not your average score. A total of 8 looks healthy, but if you score a 0 in even one area, you must stop. That is exactly the gap where an independent AI will make its first major mistake. Treat any score of 0 or 1 as an urgent priority.
From assessment to action

How to move forward

A readiness assessment is only valuable if it drives action. These four principles turn your score into a plan, whatever your starting level.

01

Fix the foundations first

Most failed AI projects fail because of bad data or poor system connections, not because of the AI model itself.

02

Use connections as control points

Your APIs are where the AI actually does things, which makes them the best place to enforce safety rules and watch what is happening.

03

Start small

Prove the AI works on one specific, high value task before you try to build more.

04

Measure real results

Judge your AI programme by the business value it creates over months, not by how impressive the demo looked on stage.

How NJC Labs can help

We build the foundations that make agents safe

We do not sell a shortcut around readiness. We help you build the strong data and system foundations that make AI agents safe to use. As a Salesforce Summit Partner and the worlds largest MuleSoft training partner, we fix the gaps where data and connections meet.

Salesforce Data Cloud

Data and context

We unify your data and make your documents searchable by meaning so agents act on trusted information.

MuleSoft and Agent Fabric

Connections and APIs

Secure, reusable ways for agents to act across your systems, aligned with the Model Context Protocol and a control plane to govern them.

System level controls

Governance and scale

We lock down safety rules and permissions at the system level, not just inside the AI prompt.

Global training partner

Talent and culture

Because we build systems and train teams globally, we teach your people how to run and maintain the AI.

Next steps

Want to see where you actually stand?

We run a short readiness session with technology and business leaders. Together we score your five dimensions, find the biggest risk to your AI project, and plan a safe first use case.

Disclaimer: This scorecard is a practical self assessment guide based on NJC Labs expertise and real world experience in enterprise AI, integration, and digital transformation. It is not a scientifically researched, independently verified, or industry standard scoring methodology. Use the results as a starting point for discussion and planning rather than as a formal certification or audit.

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