Get AI doing your repetitive work in weeks, not years
Without hiring a Chief AI Officer, replacing your systems, or turning your staff into AI experts.
What happens to one customer request in your company today, and with an AI agent
Quotes, invoices, customer questions, scheduling, reconciliation. Every one of them follows the top lane right now.
Today
2 to 3 days- Request arrives
- Sits in an inbox
- Someone checks three systems
- Someone writes it up
- A manager reviews it
- Sent
With an AI agent
Under 10 minutes- Request arrives
- Agent reads it
- Agent checks your systems
- Agent drafts the reply
- A person approves exceptions
- Sent
A person is still involved here, by design
Illustrative. Typical timings for this kind of task, not a specific client’s result.
- Hours of manual work every day
- Work that runs on its own
- Growth means another hire
- Capacity without headcount
- Customers wait days for answers
- Answers the same day
- Nobody on staff owns AI
- One senior person accountable
Put your own numbers on it
One request is a few hours. Across your team and a year, it is a salary or several. This is what it comes to in your figures.
What the repetitive work costs you now
Three numbers you already know. Move the sliders.
Anyone who quotes, schedules, reconciles, chases invoices, or answers the same questions.
Most owners guess low. Ask the person, then double it.
Salary plus payroll taxes, benefits, and overhead, divided by hours worked.
Every year, that is
$103,680
2,304 hours of your team’s time on work a machine should be doing.
Your figures, your estimate, at 48 working weeks a year. Nothing is stored or sent.
Why most AI spending at companies this size goes to waste
Most AI money at companies of ten to two hundred people goes on licenses nobody owns. A tool gets bought, a pilot gets handed to whoever seemed interested, and six months later no one can say what it cost or whether it worked. The constraint is not the technology. It is that no one is responsible for it. That is why what we provide is a person with authority over the plan and the budget, not another tool.
60 to 70%
of the time employees spend at work goes on activities that current AI and other technologies could automate.
Everything included when you work with New York Strategy
One senior person is accountable for all of it. Not a vendor demo, not a report, not a tool your staff have to figure out on their own.
A fractional Chief AI Officer
A senior AI executive inside your company part-time. Sets the plan, controls the budget, and is accountable for the result.
An AI plan for your business
A ranked, costed list of what to automate first, what each item costs to build and run, and what it is worth to you.
AI agents built for your work
Quoting, reconciliation, customer replies, scheduling, reporting. Built into the tools your staff already use.
Rollout and training for your staff
We introduce every system to your team before it ships, and train one named person on your staff to own it.
Documentation written for your staff
Plain instructions your team can follow after we step back. Written for them, not for us.
Budget approval before anything is built
You see the build cost and the monthly running cost of every system, and approve it, before work starts.
How it works: three phases
Each phase is priced and scoped on its own. You decide at the end of each one whether to continue, and you keep everything produced.
01
The Diagnostic
We walk the business function by function.
Decides: Whether there is a program here at all. Some companies leave the diagnostic with two automations and no reason to spend another dollar. We will tell you if that is you.
02
The Pilot
One item from the top of that list, built and put in front of the people who will use it.
Decides: Whether it works in your building. A pilot that misses its number is a finding, not a failure, and it is far cheaper here than at scale.
03
The Build
Production systems, owned by you.
Decides: What your company looks like a year from now. This is where the investment pays off, or does not.
How the risk is limited
Most companies have been burned by a pilot that went nowhere. This engagement is built so that cannot happen to you.
- Every phase is fixed-scope and priced on its own. No open-ended retainer.
- You decide at the end of each phase whether to continue. You keep everything produced.
- The first phase is a diagnostic. If it shows AI is not worth your money right now, we tell you that, and you have lost weeks, not a year.
- A person on your staff is named as the owner of every system before we step back. Nothing depends on us staying.
Case study · Gesture
150
US cities Gesture grew to serve
We worked with Ben Labra and his team at Gesture, the on-demand gift delivery company, to understand what their data said about their customers, and used it to scale the company to serve 150 cities across the United States. It is the same order of work we use now: understand the business and its data first, then build what the numbers justify.
Based in New York, working with New York businesses
New York Strategy is based at 1 World Trade Center and works with companies across the five boroughs. Most of our clients are businesses of ten to two hundred people that do not have anyone on staff responsible for AI.
- Office
- 1 World Trade Center
- Working across
- All five boroughs
- Time zone
- Eastern
Led by
Ramy Noaman
Principal · Fractional Chief AI Officer
Straight answers to the questions we get before a call
If yours is not here, ask it on the call. You will get the same kind of answer.
Where does our data go?
It stays where it is. We build into the systems you already run rather than moving your data into a platform of ours. Which AI providers touch it, and under what terms, is decided with you in the diagnostic and written down before anything is built.
Does this work with the software we already use?
That is the point of it. Your accounting software, your CRM, your email, and your spreadsheets are where the work happens, so that is where the agents are built. You do not replace anything.
What happens when the agent gets something wrong?
It is built to stop and ask. Anything it is not sure about, and anything above a threshold you set, goes to a person with a drafted answer they can edit or discard. That threshold is agreed with you before the agent goes live.
Who owns what gets built?
You do. Everything produced in an engagement is yours, and a named person on your staff is trained to run it before we step back. Nothing depends on us staying.
What will it cost to run each month?
You will know before it is built. Every system comes with a build cost and a monthly running cost, and you approve both before work starts.
How much of my staff's time does this take?
In the diagnostic, an hour or two with each person whose work is involved. At rollout, a training session for the person who will own each system. Nobody has to learn to code.
One hour · No cost
Book your AI Opportunity Review
You leave with your three biggest automation candidates, ranked, and a straight answer on whether a diagnostic is worth your money.
What happens in the hour
- We go through where your team's hours actually go.
- We rank the three pieces of work an AI agent could take over first.
- You get a straight answer on whether to go further. If the answer is no, we say so.