What to move first
We choose the process with the best mix of impact, feasibility, data, and adoption.
You start with real friction, not a demo.
Before investing in AI, decide what is actually worth automating.
For CEOs, founders, and operations leaders with real processes, scattered data, or pressure to adopt AI. We review your operation and tell you what to move first, what not to touch, and how to measure it.
Our team has experience working with organizations like
What it solves
The cost is not trying AI. It is trying it in the wrong place.
When nobody prioritizes, teams send any task to the most expensive model, automate broken processes, and cannot tell which KPI changed. The 360 cuts that waste before buying tools or launching pilots.
Who it is for
- You have customers, a team, and operations; you are not at idea stage.
- There is manual work, scattered data, or follow-up that breaks.
- You want to decide before hiring, buying, or building.
What not to automate
We separate AI problems, broken processes, missing data, and tasks a simple script can solve.
You avoid accelerating an error.
How to measure it and with which model
We define the KPI, owner, model tier, and cost/risk signals.
Spend gets tied to a business outcome.
Useful social proof
Experience in operations where choosing the wrong first case is expensive.
The signal is not the logo by itself. It is having seen volume-heavy processes, governed teams, and data that must become decisions.
Pains that support the 360
01Insurance / banking
Volume, SLA, and routing
Onboarding, policies, tickets, and escalation: workflows where bad automation creates more rework.
Related experience
The 360 decides which process to move first and what should not become an agent.
02Government / energy
Adoption with control
Institutional processes with owners, permissions, traceability, and natural resistance to change.
Related experience
The 360 separates where AI helps from where ownership, rules, or supervision are missing.
03Operations / data
Information that does not decide
Data split across systems, documents, and people, making it hard to know whether AI paid off.
Related experience
The 360 defines which data point and KPI must exist before automating.
What you get.
Friction map
Processes, owners, systems, data, and tasks slowing down speed, quality, or margin.
Enough to decide; not a long document nobody uses.
Yes / no matrix
What to automate with AI, what to solve without AI, what to leave alone, and which model tier to use.
Includes clear reasons not to do certain things.
Recommended first case
Expected impact, effort, risk, data, owner, and conditions to execute it.
Use it with your team or turn it into a pilot.
One AI decision before overspending.
If it prevents a bad purchase, a poorly scoped pilot, or months of scattered experiments, the assessment has done its job.
Before payment
Tell us the minimum needed to prepare your 360.
It takes less than a minute. We save this context and send you to Stripe.
AI 360 Assessment
USD $490
Frequently asked questions
What is it exactly?
A decision assessment. We review your operation and return which AI case to move first, what not to automate, and what conditions are missing.
Who is it for?
Leaders with real operations: customers, team, processes, and pressure to decide where AI can move margin, speed, or quality.
What doesn't the 360 do?
It does not implement software, replace a pilot, or promise commercial results. It tells you where to start, what to avoid, and how to measure it.
Fewer loose ideas. One clear first decision.
Bring your operation. Leave with what to move, what not to touch, and how to measure it.
Book my 360