Independent AI & Data Advisory

Decide which AI ideas deserve to become real.

I help COOs, CIOs, and data or AI leaders in regulated and operationally complex organizations assess opportunities, unblock promising pilots, and make build, buy, or stop decisions—grounded in how the work actually happens.

A small number of focused engagements at a time.

Prior operator experience

The advice comes from having owned the outcome.

The perspective behind Aun was earned in prior in-house roles—not through Aun client engagements. It comes from making technology choices, building internal capability, navigating governance, and remaining accountable afterward.

BuyerEvaluated vendors and made build-or-buy decisions with an operating budget and real consequences.
BuilderBuilt data, analytics, and AI capability around how the organization actually worked.
OperatorStayed with the decisions through governance, adoption, and day-to-day use.

Services

Three decisions worth getting right.

Aun works on a bounded question with a decision at the end. The engagement is shaped around the situation—not a generic transformation program.

01

AI Opportunity Assessment

For leaders with an AI mandate, an important workflow, or too many possible starting points. We examine the work, decisions, data, value, feasibility, and risk behind the strongest opportunities.

What you leave with
A prioritized opportunity map, explicit value hypotheses, and a recommendation about what to test first.
02

Pilot-to-Production Review

For a pilot that demonstrates technical promise but has stalled around ownership, workflow, data, governance, integration, or adoption. We find what is keeping it from becoming part of real operations.

What you leave with
A go, reshape, or stop recommendation; an operational-readiness assessment; and a practical path forward.
03

Build, Buy, or Skip

For leaders evaluating an AI product, vendor, or internal build. We clarify the actual requirement, pressure-test the claims, and surface the operational costs and tradeoffs that demonstrations tend to hide.

What you leave with
An evaluation framework, an independent recommendation, and a concise decision memo.

How Aun works

Intent. Operation. Evidence. Judgment.

The lens stays stable even when the engagement changes. It connects the ambition to the actual work, and the evidence to a decision someone can act on.

IntentWhat are we trying to change?
OperationHow does the work really happen?
EvidenceWhat would earn confidence?
JudgmentWhat should move forward?

Connecting the dots does not require pretending they are the same thing. That is alignment without sameness.

About Aun

An independent practice, deliberately small.

I’m Jimmy DeBlasio, and Aun Collective is my independent advisory practice. My perspective comes from leading data, analytics, and AI from inside a regulated benefits organization.

I work between strategy, data, technology, and operations—especially where a promising idea has to survive organizational reality.

The aim is not to import another framework or produce more AI activity. It is to understand what is happening, make the consequential decision clearer, and leave the organization more capable than it was before.

Aun is a-un, 阿吽: the open sound and the closed one, and the root of a Japanese phrase for two people who understand each other without needing to speak.

Contact

What decision are you trying to make?

Send the situation in whatever shape it is currently in. A useful place to begin is simple:

What are you deciding? What is stuck? What happens if nothing changes?