AI readliness

AI Readiness Index

Company information

Name

Company Name

Organization Type

Industry

Role in Company

How well does leadership understand AI and its implications to your organization ?

They are new to AI.

They have experience with a handful of AI initiatives.

They have significant experience with AI within the context of our initiative.

None

How well does leadership support this initiative?

This initiative is viewed as low importance.

This initiative is viewed as medium importance.

This initiative is viewed as mission critical.

None

What is the level of leadership engagement with this initiative?

There will be little engagement from our leadership.

Leadership is taking a hands-on approach to overseeing this initiative.

Leadership trusts us to accomplish our goals and stands ready to assist when we request it.

None

Does your organization have an AI strategy in place?

No. A deliverable of this initiative is to define a strategy.

There is one being developed in parallel to our initiative.

Yes. Our initiative reflects that strategy.

None

What are the expectations of leadership regarding this initiative?

Leadership has unrealistic expectations for at least two of schedule, budget, and scope of deliverable.

Leadership has an unrealistic expectation for one of schedule, budget, or scope.

Leadership has realistic expectations about what we can accomplish.

None

1 out of 7

What is your strategy to ensure the safety of people affected by your AI?

We did not realize that safety was a concern.

We are working on a strategy to ensure safety.

We have a safety strategy in place and are actively working to ensure it.

None

What is your strategy to ensure the human dignity of the people affected by your AI?

We did not realize that human dignity was a concern.

We are working on a strategy to ensure human dignity.

We have a human dignity strategy in place and are actively working to ensure it.

None

What is your strategy to ensure fairness within your AI?

We did not realize that fairness was a concern.

We are working on a strategy to ensure fairness.

We have a fairness strategy in place and are actively working to ensure it.

None

What is your strategy to ensure accountability within your overall AI-based solution?

We did not realize that accountability was a concern.

We are working on a strategy to ensure accountability.

We have an accountability strategy in place and are actively working to ensure it.

None

2 out of 7

What are your business stakeholder's expectations regarding the timeframe for the initative?

They have a definite and aggressive delivery date that they are aiming for.

They have a definite date that they are aiming for but may extend that date given sufficient evidience.

They are flexible regarding the date, realizing we face several unpredictable unknowns.

None

How engaged will your business stakeholders be with this initiative?

They will be involved in the initial envisioning and in milestone reviews.

They will be involved in initial envisioning and available to answer questions and attend demos during construction.

They will be actively involved in initial envisioning and ongoing evolution of the system throughout construction.

None

How well do your business stakeholders understand AI and its implications?

They are new to AI.

They have taken overview training in AI and some have been involved with previous AI initiatives

They have been involved in several successful AI initiatives in the past.

None

Do your stakeholders have a reasonable vision for this initiative?

They have not yet come to a clear vision.

There are two or more competing visions for this initiative.

They have a realistic vision that is supported by our leadership.

None

3 out of 7

Do you understand the level of data technical debt (DTD) you are facing?

Data technical debt is a new concept to us.

We understand the extent of our relevant DTD and will address it during the initiative.

The relevant data that we require is of sufficiently high quality already.

None

Are your business stakeholders data literate?

Our business stakeholders mostly reply on pre-determined reports.

Our business stakeholders understand basic data literacy.

Our business stakeholders are “data fluent” and immediately grasp the implications of data quality (DQ) concerns.

None

Do you have a strategy to deal with the biases within your data?

We do not have a very good understanding of the biases within our data.

We understand that there are biases within our data and believe we can address them during the initiative.

We are mostly working with very high quality data within which we have previously dealt with the inherent biases.

None

4 out of 7

Are you able to build a diverse team?

No, and we are unsure what diversity means for an AI initiative.

Our team will be mostly diverse although some subsets of affected people may not be represented due to lack of available staff.

We understand the range of diversity of the people who will be affected by our system and we have built a team that represents this diversity.

None

Are you able to build a cross-disciplinary team?

No, we are short of key skills.

We will be missing some skills to start, but intend to acquire missing skills during the initiative.

Yes, we will have no problem building a team with sufficient skills to achieve our goals.

None

How dedicated to this initiative will team members be?

Many members will be assigned to more than just this team.

Key roles will be filled by dedicated people, although some expertise will be filled be people assigned to other initiatives.

Everyone on the team is assigned to this initiative 100%

None

How responsible will the team be for its own success?

The team is expected to follow our standard processes and procedures.

The team is self-organizing but has success criteria defined for it.

The team is self-organizing and has a say in how its success is defined.

None

5 out of 7

Do you have sufficient availability of people with AI skills?

No, and we do not yet have a viable strategy to gain those skills.

Partially, and we will invest in our people during this initiative.

Yes, and we are investing further to increase those skills.

None

Do you have sufficient availability of people with data skills?

No, and we do not yet have a viable strategy to gain those skills.

Partially, and we will invest in our people during this initiative.

Yes, and we are investing further to increase those skills.

None

Do you have sufficent availabiliity of people with customer experience (CX) skills?

No, and we do not yet have a viable strategy to gain those skills.

Partially, and we will invest in our people during this initiative.

Yes, and we are investing further to increase those skills.

None

Do you have sufficient availablility of people with domain knowledge?

No, and we do not yet have a viable strategy to gain those skills.

Partially, and we will invest in our people during this initiative.

Yes, and we are investing further to increase those skills.

None

6 out of 7

How robust will your envisioining phase be?

We did not plan to have an envisioning phase.

We intend to focus on evaluating our data sources given that this is an AI intiative.

We realize that we need to invest effort in both exploring customer experience (CX) as well as our data sources before we embark on construction activities.

None

How robust will your construction phase be?

We will follow our standard software process and work towards a defined timeline.

We will take an evolutionary/agile approach to construction, aiming for a defined delivery date.

We will take an evolutionary/agile approach to construction, recognizing that our delivery date may shift as we learn.

None

Does your organization have effective deployment processes?

No, our team must determine how to deploy their solution appropriately.

We have a group that can help our team to deploy into production.

We have a fully automated deployment pipeline as part of our overall DevOps strategy.

None

How capable is your operational monitoring?

We have none to little monitoring capability for the technologies we will be using.

We have existing infrastructure and procedures in place for monitoring, although AI is new to us.

We have existing infrastructure and procedures in place that address existing AI solutions that are already running in production.

None

How able are you to judge the viability of the initiative?

We have a culture of making initiatives “successful” regardless of what happens.

Our lifecycle has several milestones where we consider viability, but it is rare that we need to cancel an initative.

We have a culture of regularly considering the viability of an initiative and either doing what we must to get it on track or cancelling the effort as needed.

None

7 out of 7

Time’s up

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