Built in my work.
What could fit
in yours?

I've been building AI into my own operating and product work. I'm now exploring select projects with other companies, starting with where that experience fits their needs.

Discuss an AI projectFor owners, CEOs and operating teams.
Inside the operationExample architecture
CRMInboxOperations
01
The system prepares.

Context gathered. Next action drafted.

Draft only
02
Your team reviews.

A named person checks the action.

Human decision
03
Approved work moves.

The action runs. The result is recorded.

Operator control at every stage.
Illustrative workflow. Your architecture is defined around your systems, data and approval requirements.

Where does
the work get stuck?

A request gets lost between teams. Someone copies the same information into three places. A report arrives, but the next decision still depends on chasing people.

These are operating problems. The first job is to understand them, decide where AI belongs and keep people responsible for the decisions that matter.

Owners & CEOsPE operating partnersOperations leaders

Fractional
Chief AI Officer.

A clear direction for AI, with someone helping you make the decisions.

For a company that needs ongoing guidance, we could scope a fractional Chief AI Officer engagement around setting priorities, evaluating tools and overseeing implementation with your team or chosen delivery partners.

The starting point is a defined business problem. Together, we would agree on responsibilities, decision authority, time commitment and how progress should be evaluated. Implementation and ongoing system operation would be scoped separately.

I am opening this work to select companies based on the systems I have been building in my own business and products.

Discuss fractional AI leadership

Design it.
Build it. Operate it.

First, establish the fit.
Then scope a paid design engagement.

Your design deliverablesOperational auditSystem architectureBuild sequenceCost & operating model

The design stands on its own. You receive the plan and documents, with implementation scoped as a separate engagement.

You should know
what the system is doing.

Before it goes live

See it work first.

Start in shadow mode. Review the output before it reaches a customer. Expand only after the behavior is understood.

While it is running

Keep the controls.

Your operator can stop the system. Data boundaries and approvals are part of the architecture from the beginning.

As things change

Keep checking.

Verify the result where people actually experience it. Report what is known, what has failed and what cannot yet be verified.

I know the work
from the inside.

I founded RevSpark™ Media in 2014. I run the business and build software around the work.

My experience comes from building within my own business and products. I am opening that experience to select outside projects, separately from RevSpark™ Media and ConversionSignal. The first conversation is about whether it fits what you need.

Explore my work

A few practical
questions.

What should we start with?

A part of the operation where work gets stuck. Bring the problem, the systems involved and the person responsible for the process. We can discuss whether a design engagement is the right next step.

Do we need to replace our software?

The design begins with your actual stack. The integration map identifies what should connect, what can stay and where a change is justified.

Can we start with design only?

Yes. The paid design engagement produces an operational audit, architecture, build sequence and cost model. It does not include shipping code or require you to commission the build.

Who keeps the system running?

That decision is part of the operating model. A build includes handover planning, and retained operation can cover monitoring, incident response, changes and ongoing extension within an agreed scope.

Can we talk about a broader business problem?

Yes. For growth, operating systems or a potential partnership, tell me what you are working through. We can establish whether my experience fits the problem.

What would you like
to work better?

Tell me where the work gets stuck and which systems are involved. We will start there.

Discuss an AI project