For executives who own an AI mandate and have no time to run it
An executive AI layer, installed and run for you.
We build a working AI layer inside your company: a decision core for the top, AI assistants for the C-suite, digital employees for routine work. The first process runs on your own data within weeks. The full layer is built out over the year.
Fixed fees at every stage. Exit points between stages. Your company owns everything we build.
01 The problem
The board wants AI. The market is full of ways to fail at it.
Software got bought. Work did not change.
The failures follow a known pattern: data was not ready, nobody defined what success would look like, and tools were layered on top of old workflows. This research did not design our product. It designed our engagement: staged, measured, and run by an external team whose only job is to make the layer work.
In the same MIT study, external implementation partners succeeded at roughly twice the rate of internal builds. Correlation is not causation. We simply like those odds better when implementation is someone's whole job.
02 What we install
The Executive AI Layer
Each "role" in the layer is a working AI workflow with a defined output, an owner on your side, and a metric. It is named after the function it serves. It is not a robot executive.
Tier 1The decision core
Your company's knowledge, priorities, and decision logic in one working system that serves the CEO. It briefs before meetings, prepares decisions with the arguments on both sides, and challenges plans the way a strong chief of staff would. Judgment stays at the top. It just arrives better prepared. Internally we call this tier the Digital CEO core. On your board slide, call it the decision core.
Tier 2The command layer
AI assistants for marketing, finance, and strategy. Each one drafts the plan, runs the numbers, flags the risk, and keeps its area's knowledge current. Your executives review and decide.
Tier 3The execution layer
Digital employees for defined routine processes: reports, research, first drafts, first-line analysis. Each is measured like an employee: output, quality, cost.
Why weeks and not years: the layer is structured documents plus AI models your company licenses directly. No custom platform build, and no model lock-in. It runs inside your perimeter, in accounts you control, with human approval on material decisions and an evaluation step for every role before it goes live.
03 Why this design
Designed against the reasons AI projects die
The recurring failure causes documented in the research each map to a design decision. We design against the failure modes we control:
04 How it unfolds
Four steps. Your team works. Your calendar barely notices.
Executive briefing 30 minutes, free
You describe how the company runs. We tell you where the layer would pay first, and what the audit would examine.
AI Opportunity Audit fixed fee, three to four weeks
We map your processes, data, and highest-value openings. You receive a written 90-day plan with ROI ranges and a measurement plan for each. If the numbers do not justify going further, it stops here, and the plan is yours to keep.
Build sprint on your data two to three days
With your process owners in the room, we build the first working piece of the layer and measure its accuracy there. Not slides. A scoped process running on real work.
Build-out and operation annual engagement
We build the layer role by role, run it, measure it, and report monthly on one page.
05 Straight talk
What we will not show you: a wall of logos
This practice is new and deliberately small. We will not decorate this page with borrowed logos or invented case studies. In this market, funded vendors have been caught doing exactly that.
What you get instead: an engagement staged so you never pay for anything unproven, founder-level attention on your account, and first results measured on your own data within weeks. Reference calls come as the practice grows, from clients who agreed to give them.
06 Who builds it
Built by a mathematician who manages money under measurement
Igor Ivitskiy, PhD
Author of a methodology for implementing AI employees in business processes, presented at European AI and marketing conferences. For twenty years he has built mathematical systems that manage money under strict measurement.
The executive AI layer is the same discipline pointed at management itself: define the metric, build the system, measure it, keep what works.
The implementation team works under his direct supervision. One accountable owner for what every stage must deliver.
- PhD in mathematical modeling
- More than $770 million of advertising budgets under management
- #6 among the world's 50 most influential PPC experts, 2026 (The PPC Survey)
- Business education at Cambridge and UC Berkeley
- Recognized under the UK Global Talent program, exceptional talent route
07 Governance
A purchase you can defend
08 Investment
$200,000 to $300,000
per year for full-layer engagements, set by scope after the audit
The audit is a fixed fee agreed before it starts. And it carries a simple guarantee: it ends in the written 90-day plan with the deliverables specified in advance, or you do not pay for it.
09 Questions
How is this different from hiring a consulting firm?
What happens to our data?
Does this replace our people?
How fast until something works?
Our industry is specific. Will this fit?
Delegate the build. Keep the credit.
Bring one process that eats your leadership team's time. In 30 minutes we will tell you whether the layer pays there, what we would build first, and what the audit would cost.
If it is not a fit, you will know inside half an hour.