Executive AI, installed and run for you
You start working with AI personally in 30 days. The organization follows.
We install a working executive AI layer on the stack you already run: first on you, then across the company. Context, briefs before meetings, decisions prepared with both sides argued. Done for you. Judgment stays yours.
Fixed fees at every stage. Exit points between stages. Your company owns everything we build.
The board wants AI. The market is full of ways to fail at it.
Software got bought. Work did not change.
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.
Adoption does not start with a rollout memo
Organizations do not follow AI roadmaps. They follow a person at the top who felt the difference in their own week, then asked for more.
Engines are commodity now. Free harnesses ship. Copilot is licensed almost everywhere. What the market does not sell you is your company's context library: the priorities, the decision logic, the memory of how this firm actually works.
We install on the stack you already run, including Copilot 365. The model is rented. The context library is yours. That is the layer.
Your own layer. On your stack. In 30 days.
In thirty days you get a working personal AI layer: your context and priorities structured for daily use, briefs before every meeting, decisions prepared with both sides argued. It runs in accounts you control, on the tools you already use.
Fixed fee: $15,000 to $25,000. No open-ended bill.
The data-readiness audit happens inside the install, as part of building something you use. You do not sit through a separate study. Judgment stays yours. The layer argues both sides, surfaces what changed since the last call, and flags what you have not seen. You decide.
The board needs a decision on Q3 variance. Here are the two viable options.
The Executive AI Layer
Each role is a working AI workflow with a defined output, an owner on your side, and a metric. It is not a robot executive.
The decision core.
Your company's knowledge, priorities, and decision logic in one system that serves the CEO. It briefs before meetings, prepares decisions with both sides argued, and challenges plans the way a strong chief of staff would. Judgment stays at the top.
The command layer.
AI assistants for marketing, finance, and strategy. Each drafts the plan, runs the numbers, flags the risk, and keeps its area's knowledge current. Your executives review and decide.
The execution layer.
Digital employees for defined routine work: reports, research, first drafts, first-line analysis. Measured like an employee: output, quality, cost.
Why weeks and not years: structured documents plus AI models your company licenses directly. No custom platform. No model lock-in. Inside your perimeter, in accounts you control, with human approval on material decisions.
Five rungs. Each one small enough to exit.
0 ·Starter protocol
The executive skill files, for people with weekends and curiosity.
→Exit: take it and leave. No pitch required.
· free
1 ·Executive briefing
You describe how the company runs. We say where the layer would pay first.
→Exit: if it is not a fit, you know inside half an hour.
· 30 minutes, free
2 ·Personal install
Your own layer on your stack. The audit runs inside the work.
→Exit: stop here with a working personal layer and a written plan. No year required.
· 30 days, $15,000 to $25,000 fixed
3 ·C-suite expansion
Command-layer assistants, expanded when your executives see your output and ask for what you have.
→Exit: expand only the roles that already proved their metric.
· scoped
4 ·Full layer + operation
Build-out role by role, run it, measure it, report monthly on one page.
→Exit: the year is optional until the personal install proves the mechanism on your data.
· $200,000 to $300,000 per year
Your calendar barely notices
30 minutes for the briefing.
About two hours of you across the thirty-day personal install.
About an hour a month once the layer is running.
Process owners join only when a role is built on their work. The rest is our job.
Designed against the reasons AI projects die
Data is not ready.
The data-readiness audit runs inside the personal install, before anything is scaled.
Nobody defined success.
Metrics are fixed with you before the build, and reported against monthly.
Nobody adopts the tools.
Adoption is managed work with named owners on your side, not a hope.
The system never learns.
The context library compounds from feedback by design.
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.
Built by a mathematician who manages money under measurement
Igor Ivitskiy, PhD in mathematical modeling. 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: more than $770 million of advertising budgets, a #6 ranking among the world's 50 most influential PPC experts in 2026. Business education at Cambridge and UC Berkeley. Recognized under the UK Global Talent program (exceptional talent route).
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.
A purchase you can defend
- Fixed fees at every stage. No open-ended time and materials.
- A written plan with metrics chosen before anything is built.
- Monthly one-page reporting: what runs, what it produced, what it cost. We will show you a sample on the briefing call.
- Adoption and usage tracked from day one, because licensed software nobody uses is the most common way these budgets die.
- Everything we build is delivered to your team in documented, transferable form: role definitions, prompt libraries, decision documents, process maps, integrations. If we stop working tomorrow, your team keeps all of it, and any operator can run it.
- Each stage is small enough to exit. The year is optional until the personal install proves the mechanism on your data.
Investment
$15,000 to $25,000, fixed.
The personal install. Thirty days. Scope agreed in writing before the first session.
$200,000 to $300,000 per year.
Full-layer engagements, set by scope after the personal install has proved the mechanism.
The personal install carries a simple guarantee: the deliverables are specified in writing before the work starts. If the install does not meet them, you do not pay.
The Executive AI Starter Protocol
A free, self-serve slice of the executive layer: the 5 to 7 skill files that cover most of what a first person needs (brief before a meeting, triage of inbound, decision prep with both sides argued, weekly review). Any stack. Weekends required.
Request it by email. We send it by reply. Not an instant download.
If you have the weekends and the curiosity, build it yourself.
If you have neither, that is who we install for.
FAQ
How is this different from hiring a consulting firm?
Consultants hand you recommendations. We build and run working AI roles inside your company, and we are accountable for what each stage must deliver. You own everything that gets built.
Won't Microsoft build this into Copilot?
Engines improve and become commodity. Your company's context library does not ship in a vendor release. We install on the stack you already run, including Copilot 365. The model is rented. The layer is yours.
What happens to our data?
The layer runs on AI models under your company's own enterprise agreements, in accounts you control. We work inside your perimeter, not outside it.
Does this replace our people?
No. Klarna tried replacing service staff with AI, then publicly reversed course and rehired people. We design the opposite way: the layer removes routine work and prepares decisions. Judgment stays with your team.
Our industry is specific. Will this fit?
The layer is built from your documents, your numbers, and your decision logic. Specificity is the raw material, not an obstacle.
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 whether the personal install is the right entry. If it is not a fit, you will know inside half an hour.