What are the four dimensions necessary for AI readiness

Hake AI Self Diagnosis Workflows Question 1 of 4:
Which processes are repetitive, manual, or slow?

Typically you’ll find answers easy here. But on further analysis it usually turns out you don’t know how much time each process actually takes.

Hake AI analysis shows common answers include:

The above processes share a few traits:

• High volume

• Predictable steps

• Heavy use of documents, emails, or forms

• Dependence on manual effort

They’re not complex work but are time-consuming work. Often, just because they’ve “always been done this way,” you may not have studied the cost of how much employee time is used here.

Hake AI Self Diagnosis Workflows Question 2 of 4:
Which workflows, if improved, will most reduce cost or speed up ease of coordination?

This question forces prioritization. Not every slow process is worth fixing first. The most impactful workflows usually sit at the intersection of money, customers, and coordination. 

Hake AI finds poorly coordinated internal workflows typically include:

When Hake AI maps these workflows, we find:

• Work bounces between people more than expected
• Delays happen while waiting, not while working
• No one owns the workflow end-to-end

Hake AI Self Diagnosis Workflows Question 3 of 4:
Where are your employees spending effort on low-value tasks?

Often people are spending time and working very hard on things that are of low value.
Hake AI often finds teams spending significant time on:

This type of work creates little value for customers. It seems to keep the business running, but it is not moving it forward. It’s also boring for your people to do.

Hake AI finds the usual causes of this low-value work are:

This is exactly the type of work that AI handles well, when applied correctly. Using AI for these processes tends not to replace people, instead it removes the “busywork layer” that prevents employees from focusing on higher-value tasks like selling, solving problems, and improving operations.

Hake AI Self Diagnosis Workflows Question 4 of 4:
Are success metrics clearly defined?

This is where many AI initiatives fail to get the impact hoped for.

Hake AI often finds clients answer this question with:

• “We want to be more efficient”
• “We want to use AI more”
• “We want to modernize”

These are only intentions, not metrics.

The lack of metrics is often caused by:

• No baseline (“How long does this take today?”)
• Too many metrics, none owned
• Metrics disconnected from workflows
• Success defined after the fact

Hake AI finds that clients who succeed with AI define success simply and early, usually in one or more of these areas:

Clear metrics help with the following:

Without them, the danger is AI feels like activity, but achieves little impact.

Hake AI Self Diagnosis Workflows Summary:
Why is analyzing your workflows necessary before adding AI?

AI only works best when it is applied to well-understood work with clear goals.

Hake AI Start Here tip: A practical path looks like this:

1. Select 2–3 workflows that are repetitive, high-volume, and painful

2. Describe the workflow in plain language from start to finish
3. Identify low-value human work (copying, chasing, searching, routing)
4. Define 1–2 success metrics per workflow and capture a baseline
5. Get ready to apply AI inside the workflow, not alongside it:
   • Extract information from emails and documents
   • Categorize and route requests automatically
   • Draft responses, summaries, and updates
   • Provide internal answers instantly from company knowledge
6. Prepare for training the team on how AI is used in your business, with clear guardrails
7. Get help.

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