Question 1

What is an AI audit?

Accepted Answer

An AI audit looks at how your company works. It finds where AI can save time and money. It shows which tasks can be automated. And it spots risks before you make mistakes. Most audits take about 4 weeks.

Question 2

How long does an AI audit take?

Accepted Answer

Most AI audits take 4 weeks. The first 2 weeks are for interviews and data collection. The last 2 weeks are for analysis and recommendations. Larger companies may need 6 to 8 weeks.

Question 3

What do I get from an AI audit?

Accepted Answer

You get a complete map of your workflows and their costs. You get a list of AI opportunities ranked by impact. You get a roadmap for what to do first. And you get clickable prototypes of solutions.

Question 4

Do we need technical staff for an AI audit?

Accepted Answer

No. Good auditors talk to the people who do the work, not just engineers. Understanding real workflows matters more than technical details. We interview operators, managers, and leadership.

Question 5

What is the difference between AI agents and automation?

Accepted Answer

Automation follows rules that never change. AI agents use language models to make decisions, which can be unpredictable. Most successful projects combine both: automation for structure, AI for flexibility within guardrails.

Question 6

Why do most AI projects fail?

Accepted Answer

AI projects fail for a few main reasons. Companies try to automate too much at once. They believe the demo will match real life. They skip guardrails and human oversight. And they do not measure results before expanding.

Question 7

What industries does Katalize work with?

Accepted Answer

Katalize works with growing businesses across many industries. This includes healthcare, financial services, professional services, insurance, and ecommerce. If you have complex workflows, we can help.

Question 8

How is Katalize different from other AI consultants?

Accepted Answer

We focus on what actually works, not hype. We will not push full automation when a simpler approach works better. We build AI systems with human oversight so they work every time. We care about results, not fancy demos.

Question 9

What happens when AI is wrong?

Accepted Answer

Good AI systems have guardrails. We build human review triggers for important decisions. We log everything for audits. We create fallback paths when AI fails. The goal is AI that fails safely, not AI that never fails.

Question 10

How do you measure AI success?

Accepted Answer

We measure outcomes, not hours saved. This means tracking work completed, error rates, time to delivery, and customer satisfaction. We set metrics before launch and track them for at least 30 days after.

Question 11

Do you offer training for our team?

Accepted Answer

Yes. We believe AI tools are useless if your team cannot use them well. We provide hands-on training, documentation, and ongoing support. We train your team to supervise, improve, and maintain AI systems.

Question 12

How do we get started?

Accepted Answer

Book a free call. We will learn about your business, understand your workflows, and tell you if AI can help. No pressure, no commitment. Just an honest conversation about what is possible.

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