AI readiness and architecture
Where your organisation actually sits on the maturity ladder, the target architecture, and a roadmap between them, including the cases where regulation or data residency rule out a public API entirely.
The team behind Octryon, working directly with yours.
This is where we work directly on your systems: AI maturity assessment, platform architecture, private and on-premises deployment, infrastructure and DevOps, and the security and governance around them. Engagements are scoped independently of our products, and most of this work runs on infrastructure you own and keep.
What we do
From architecture to the day it runs in production.
Engagements run from a short assessment to embedded technical leadership on a platform build. The common thread is that somebody has to decide how a system should be put together, and then be there while it is.
Private and on-premises AI
Running models, retrieval, and inference inside infrastructure you control, so sensitive data never crosses a boundary it is not allowed to cross.
Infrastructure and platform engineering
Compute, accelerators, storage, networking, and orchestration sized for the workload from the start, rather than retrofitted to it once it is already struggling.
DevOps and MLOps
Build, release, monitoring, and rollback applied to models and infrastructure, not just to application code, so a change is a routine event instead of an outage.
Security, governance, and compliance
Access control, secrets, audit trails, and model governance, designed on the assumption that somebody will eventually audit all of it.
Data, integration, and migration
Connecting systems and models to the data you already hold: migrations, integrations, and the modelling that makes both survive contact with production.
AI maturity
Know where you actually are before deciding where to go.
Most AI programmes stall because the organisation is asked to run before it can stand: a pilot pushed at a business with no governance, no platform, and no agreement on what data is allowed to leave the building. We assess where you sit today, and what specifically has to become true to reach the next step.
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Unmanaged
Your people are already using AI. Nobody has decided what is allowed, or where the data goes.
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Experimenting
Pilots and demos, usually on a laptop or a public API. Nothing that would survive a security review.
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In production
Something real is live. Governance and operations get reinvented for each new project.
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Run as a platform
Shared infrastructure, pipelines, and access control. A new use case is a deployment, not a project.
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Governed and measured
Cost, risk, quality, and value are tracked. Build, buy, and stop decisions rest on evidence.
The assessment is the usual way an engagement starts. It is short, it produces something you can take to a board, and it fairly often concludes that your next step is smaller and duller than you have been told it needs to be.
How an engagement works
Scoped in writing before anyone commits.
Consulting earns its bad reputation when the meter starts before the plan does. Here the scope, the price, and the date are agreed up front, so you are deciding on a known number rather than watching one accumulate.
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A scoping conversation.
We look at what you are running and what is in the way. You get our honest read on it either way, including if the answer is that you do not need us.
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A written scope.
What we will do, what it costs, and when it lands, agreed in writing before either side commits to anything.
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We do the work, and hand it over.
Delivered with one named contact throughout, and with the documentation, runbooks, and knowledge transfer your team needs to run it after we leave.
Is this for you?
Best fit when the model is the easy part.
Getting something working is rarely what stalls a programme. What stalls it is everything around the working thing: where it can legally run, who is allowed to see it, how it gets released, and who keeps it alive afterwards.
Your data cannot leave your boundary
Regulation, data residency, or the contracts you have signed mean the model has to run inside infrastructure you control. That constraint shapes every decision downstream, and it is far cheaper to design for than to retrofit.
You have a proof of concept that will not survive production
It works on somebody’s laptop. Turning that into a supported system means infrastructure, pipelines, access control, monitoring, and a clear answer to who is accountable for it at three in the morning.
You are moving off something old
A legacy platform, or a process only one person fully understands. The data has to come across intact, and the operation cannot stop while it does.
You want a straight read on where AI helps
You have been pitched AI for everything and want an assessment of what would genuinely pay for itself in your operation, including the parts we think you should leave alone.
Pricing
Scoped per engagement.
No rate card and no hourly meter. We look at the actual work, quote it in writing, and that is the number, the same way the rest of our pricing is scoped to the job rather than to a package size.
The scoping call
We look at what you are running and tell you what we would do about it. You keep that read whether or not you hire us.
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A project
An assessment, an architecture and roadmap, a migration, or a platform build. One agreed scope, one agreed price, one delivery date.
Scoped to you
Alongside your team
Senior technical leadership for the length of a programme: reviewing architecture, unblocking delivery teams, and accountable for the outcome rather than for hours.
Scoped to you
Consulting is separate from the product subscription. If you run a system we host, hosting, support, and changes to it stay in the monthly fee and there is nothing here you need in order to keep it running.
FAQ
Common questions about consulting.
Do we have to be an Octryon customer?
No, and most of our consulting clients are not. These engagements are on your infrastructure, your platform, and your team’s roadmap. Forma and Vitrine are where we apply this thinking to a system we host; consulting is where we apply it to one you own.
Do you work on infrastructure we own and keep?
Yes, that is the majority of this work. On-premises, private cloud, hybrid, and disconnected environments, where the engagement is judged on whether your team can operate the result after we leave. What we build there is yours.
What do we actually get at the end?
Depending on scope: a current-state assessment, a target architecture and roadmap, infrastructure and deployment recommendations, pipeline and operational design, security and governance findings, and the runbooks, deployment guides, and knowledge transfer material to run it. All of it written down, not just discussed.
We are not sure where to start. Is that a problem?
No, it is the normal starting position, and it is what the maturity assessment is for. You do not need to arrive with a defined project. Most organisations we speak to are somewhere in the first two levels and have been told they should be at the fourth.
How is this priced?
Per engagement, scoped in writing before we start. No hourly meter running in the background, and no package sizes. The scope is built around the work in front of us.
Is consulting included in our monthly fee?
No. If you run a system we host, the monthly fee covers hosting, support, and changes to it. Consulting is separate, scoped work with its own agreement, and nothing in it is required to keep an existing system running.
Who actually does the work?
Senior people who have built and operated this in production, working with your team directly. That is the point of a small services arm rather than a large one: you are not paying for an account manager to relay questions to whoever happens to be free.
Start here
Got something that needs a person, not a product?
Tell us what you are trying to stand up, what cannot leave your own infrastructure, or what has stalled between a working demo and a supported system. We will tell you whether it is worth an engagement, and if it is not, we will say so.