Services

One system. One initiative. Or leadership across all of it.

The right engagement depends on the outcome, how far the work reaches, and who needs to own delivery.

Book a call

The specialty

The system is the specialty, not the technology underneath it. The technology gets chosen for the workflow: AI automation and system integration, agentic workflows with human controls, stalled prototypes taken to production, and RAG or chat systems where they fit.

Choosing the depth

Two things place you. How big the delivery is: one system, one initiative, or the whole capability. Who is building it: me, me together with your team where you have one, or your teams under my leadership.

Project Delivery

One production AI system, shipped into the workflow where it has to work.

From about $2,500 per month.

Scope. A build with defined edges and timelines. One system or feature, one workflow, one definition of done we agree before I start.

Delivery. I run the full delivery myself: build, test, rollout, and monitoring. Your team does not have to staff it.

Complete when. It is running in production, documented, and handed over.

Not this if the scope will keep moving after launch, or the work spans several teams. That is Managed Delivery.

Project Delivery →

Managed Delivery

One accountable owner for your AI initiative, from definition to measured operation.

From about $5k per month.

Scope. A whole business pillar rather than a feature. Several systems, ongoing decisions, and real coordination across the people who touch it.

Delivery. I own the initiative and stay hands on through it. Where you have engineers, we work together and bringing them up to speed is part of the engagement. Where you do not, I deliver it and leave you able to run it.

Complete when. The initiative is in measured operation and can be run without me.

Not this if you have one bounded build, which is Project Delivery, or you need direction across several initiatives and teams, which is Fractional AI Leadership.

Managed Delivery →

Fractional AI Leadership

Senior AI engineering leadership across your organization.

From about $7k per month.

Scope. The capability itself. What gets built, in what order, to what standard, and whether the investment is returning anything.

Delivery. Your teams build. I lead them, set architecture and delivery standards, and stay close enough to the implementation to know whether it will hold. A player coach, not an advisor with a deck.

Complete when. Your organization owns the capability and no longer needs me in the seat.

Not this if you have one defined thing to build and no team to lead. That is Project Delivery.

Fractional AI Leadership →

The three side by side

Project Delivery

Scope

One system

Delivery

I run it end to end

Complete when

It runs in production and is handed over

Managed Delivery

Scope

One initiative across a business pillar

Delivery

I own it, with your team where you have one

Complete when

The initiative is in measured operation

Fractional AI Leadership

Scope

The AI capability across the organization

Delivery

Your teams build under my leadership

Complete when

Your organization owns the capability

Why ownership sets the price

The tools may be identical at every depth. The responsibility is not.

A defined system has clear edges. An initiative requires ongoing decisions, coordination, rollout, and measurement. An AI capability reaches across teams, standards, governance, and investment. The price reflects the ownership and delivery risk I take on.

The floors tell you where the work starts. Final price follows scope, which is the first thing we settle.

Not sure where it pays off

Most of the value shows up in one of four places. This is a locator, not a menu. Any of them can start at any depth.

Growth and demand.

Win more work.

Operations and delivery.

Run the work with less friction.

Revenue and cash.

Get paid faster.

Retention and experience.

Keep customers longer.

Tell me where it hurts. The depth follows from that.

How the work runs

Map to Prod has three steps. Scope: agree on the problem and the definition of done. Deliver: build it and ship it. Run: monitor it, measure the result, and keep it working. A plan that ends in production, not a deck.

Start with a call

If you are not sure which of the three you need, that is a normal place to start. Bring the problem and I will tell you which depth it takes.

Book a call

The call is free. Bring the problem and leave with a straight answer.