Advisory practice

Most firms are already using AI.
Almost none are operating it.

Praxia.AI is the accompaniment from one to the other. We stay until the organization can run without us.

One principalH Ch. — not a rotating bench
IndependentNo software sold. No vendor commissions.
BilingualEnglish and Spanish. On-site when it matters.

The gap

The work is not to start using AI.
It is to stop failing at operating it.

01

Using it

People already open tools. Some of those tools see real work, real clients, real data — off the books.

02

Exploring it

Pilots accumulate. A board or a supervisor asks for the posture. No one has a clean answer.

03

Failing to operate it

The jump from experiment to a way of working is where most programs stall. That is the engagement.

Three fronts

One responsible counterpart.
Not a deck with a cast of dozens.

I

Direction

See the organization clearly. Decide what AI is for, here. Write the rules under which it may be used.

A direction the leadership can defend.

II

Pulse

Keep the work honest. Advance, pause, or stop on evidence. Report to the sponsor in one page, not in fifty.

A program that can be stopped.

III

Pieces

Choose and put to work what the firm actually needs. The client buys. We do not mark up licenses.

Tools in daily use — not in a demo.

How the three fronts work

The shape

Five movements. Start with the first.

A typical accompaniment runs twelve to eighteen months. The rest is a decision made after seeing — not a contract signed in the dark.

Phase 0

See

A shared reading, and enough truth to decide.

Phase 1

Decide

A written direction and the rules of the game.

Phase 2

Settle

Foundations in place. First real uses in the day.

Phase 3

Operate

The firm uses AI as a firm.

Phase 4

Remain

The advisor is no longer required.

Start with a diagnostic The point of view

The principal

H Ch.

Systems Engineer. Specialist in Project Management. Master’s in Innovation Management.

An undergraduate thesis on artificial intelligence. More than three and a half decades in the discipline since — in the field, and in the classroom. University professor for more than twenty years. Transformation work across countries, in regulated and unregulated settings.

About H Ch.

“Adopting AI in a serious organization is not a technology project. It is a transformation that has to be governed with rigor, measured with evidence, and run with the discipline of project management.”— H Ch.