AI Readiness Audit

Before you buy any AI,find out what it would actually change.

Most companies do not have an AI problem. They have an operations problem that somebody is about to spend money on. The audit is a fixed-price engagement that establishes where AI genuinely belongs in your business, what it would cost to run, and what to do first — before anyone commits to a platform.

What actually happens → Start a conversation ↗

$1,500, one-offRemote · Dallas–Fort Worth · Chicago

Taking work

Operator instincts. Engineer fluency.IT · Cloud · AI · Blockchain

01 / Who it is for

You already run something. Now everyone is telling you to add AI to it.

This is for a business that exists, has customers, and has real work moving through it every day. A service company. An operations team. A founder doing four jobs who cannot hire four people.

You have been told to adopt AI. You have probably been shown a demo. What you have not been given is a straight answer about which part of your business it should touch first, what it costs once the novelty wears off, and what happens when it gets something wrong in front of a customer.

That is what the audit produces.

02 / What happens

Four steps. No slide deck at the end.

The audit is deliberately short. Long engagements protect the consultant, not the client.

01↗

Look at the actual work

How work arrivesWhere it stallsWhat gets repeatedWhat it costs you today

02↗

Look at what you already own

Systems in placeWhere the data livesWho can change whatWhat must not break

03↗

Find the first honest use

One process, not tenMeasurable before and afterWhat it costs to runWhat it costs to be wrong

04↗

A decision, in writing

Do this firstDo not do this yetWhat it will costHow to tell if it worked

03 / The part nobody says out loud

Sometimes the answer is not yet.

A demo is not a system.

Anything can be made to work once, in a controlled room, with the person who built it standing beside it. That is not the same as something your staff can rely on at nine on a Monday.

The cost is in the running, not the building.

The build is the cheap part. What matters is what it costs every month, who maintains it, and what happens when it fails quietly.

Your data is the asset.

Most AI products rent you a seat on someone else’s machine and keep what you put into it. Where your data sits, and whether you can take it back, is a decision worth making on purpose.

If it is not the right time, I will say so.

An audit that always concludes “yes, buy the thing” is not an audit. If the honest answer is fix the process first, that is what the document says.

04 / Who runs it

Thirty years of systems that had to work when people were depending on them.

I am Che Shiva. I spent fourteen years directing enterprise technology — teams, vendors, budgets and the systems underneath them — on top of three decades hands-on across infrastructure, cloud, AI and on-chain systems.

I am not a consultant who reads about this. I build and operate AI agent platforms in production today, end to end: identity, billing, the agents themselves, the servers they run on, and the backups for when something goes wrong. That is the difference you are paying for. I have had to answer for these systems at two in the morning.

The audit runs remotely, and on site across Dallas–Fort Worth and Chicago.

05 / Start