Your pilots are running. What is missing is the path into scaled operations.
Trying AI is something anyone can do. We establish it, so that a prototype becomes a procedure that runs without the person who built it. Eight dimensions, five stages, and a Road.MAP that builds on what already runs at your place: your identity provider, your ticket system, your approval paths.
Three reasons why AI never reaches scaled operations
It is rarely the first prototype that fails. The step after it stalls, for these three reasons.
There is no rule until the first incident demands one
Without a binding usage policy, every team decides for itself which model sees which data.
Someone in sales pastes a price list into whichever chat window is open. Nobody had told them to, but nobody had forbidden it either. Retrofitting governance costs more, because you have to reopen use cases that are already running.
Nobody knows the cost until the invoice arrives
Token spend and licences grow with every use case, without anyone attributing them to a use case.
Over one weekend a team lets an agent read the whole contract archive. The spend shows up six weeks later as a single line on a collective invoice. A budget is set at that point. Nothing is being steered.
The worry is in the room, but nobody says it out loud
Where leadership does not visibly use AI itself and nobody says what happens after a mistake, acceptance is left to chance.
The prototype works technically. In the kitchen the question still stands: who gets replaced next. Nobody answers that in passing, and while it is open it overshadows every rollout.
Eight dimensions, five stages
AI amplifies what is already there. Five dimensions at stage 4 and one at stage 1 do not average out. They produce stage 1’s problem, five times faster. Every tile leads to the five stages of that one dimension.
Stage scale per dimension: 1 Experiment → 5 Agentic Organization
From self-check to implementation
Three steps. The first fits a marketing team with one writing assistant, the third a group with its own model gateway and agents in production. Each is usable on its own, none forces the next.
Web self-check
You answer 16 questions and immediately see your profile across eight dimensions, the bottleneck dimension and a result code for later retrieval.
Assessment
Several roles answer independently, at least one of them at C-level. Core set for everyone, depth module per dimension only for the responsible role, evidence required from stage 3. The result is current state, target and the building blocks in between — including the points where the answers diverge.
Implementation
The Road.MAP becomes a project plan. We support implementation block by block — from a governance rule to a production agent.
AWS Premier Consulting Partner since 2014
Storm Reply is the Reply Group’s AWS specialist: on AWS since 2008, Premier Partner since 2014. That is 18 years in which the same people built landing zones, data lakes and, lately, model gateways.
The Reply Group adds 16 AWS Competencies, more than 1,500 AWS certifications and over 2,000 AWS professionals, plus the Generative AI Competency since 2024. In practice: whoever asks in the assessment what a model gateway on AWS looks like gets the answer from someone who has built one.
FAQ on Road.MAP for AI
Answers to the questions that come up most before the first check.
- What is the difference between the check and the assessment?
- The web check is your own estimate and shows your profile in 10 to 15 minutes. In the Road.MAP-for-AI assessment several roles answer the same questions and provide evidence from stage 3 onwards. The snapshot becomes a plan with a sequence.
- How long does the check take?
- Sixteen questions, two per dimension. Reckon with 10 to 15 minutes if you think rather than guess. The result appears on screen immediately.
- What happens to my data from the check?
- Your answers are used to compute the profile. The detailed report is sent only to the address you provide; unconfirmed addresses are deleted after 24 hours.
- Which standards does the model rest on?
- Among others TOE, CMMI stage logic, BARS answer scales, UTAUT and the EU AI Act. Every dimension is cut against a named framework — disclosed in the maturity model, not just claimed.
- What is the Agentic Organization (stage 5)?
- The model’s highest stage: agents act on behalf of users and other agents, with an unbroken permission chain and automatic cost-benefit steering. It is the target picture. No organisation we have measured starts there, and most need it for two or three use cases at most.
- What does the Road.MAP-for-AI assessment cost?
- A fixed price, eligible for AWS funding programmes. Scope and price depend on how many roles answer and how many dimensions go into depth — we discuss details in the first call.
Ready for the next step?
The check costs nothing, takes 10 to 15 minutes and shows your profile immediately. If you would rather talk: a 30-minute first call, also free, with no pitch at the end.
