AI Architect as a Service

It is on-demand access to senior AI architects who guide your most consequential technical decisions and help your execution team build them. Most advisory offerings stop at recommendations and leave your team to figure out delivery. We do both. We validate the architecture and build it through to production. Bring our architects into strategy sessions, design reviews, vendor evaluations, and POC scoping early, so you can de-risk major decisions before they become expensive to fix.

Building an in-house AI team is slow and costly, and the highly specialized architecture talent you need is scarce and expensive to retain for a single initiative. Large consultancies bring scale but often bring scope creep, hidden costs, and recommendations no one implements. Our fractional model gives you senior architectural leadership on a predictable retainer. When a decision needs to be built, a Devox delivery team can join under a separate scope.

We start with focused discovery to understand your business goals, systems, and constraints. From there, your architect embeds in your existing workflows: planning sessions, design reviews, and decision cycles, with no separate track for you to manage. Engagements run on flexible tiers sized to your stage, from lightweight advisory for teams exploring ideas to ongoing architecture-plus-execution for organizations running multiple initiatives. You can start small to validate a single decision and scale the engagement as the work grows.

Faster than a traditional build because we front-load validation. You see a working prototype tested against your KPIs before full development begins, so you validate key decisions in weeks, not quarters. The point of engaging early is precisely this: the most valuable guidance comes before you have spent months and budget heading in the wrong direction. We measure progress in de-risked decisions and shipped systems, not hours logged.

No, this is the ideal time. The most expensive AI mistakes are architectural ones made early and discovered late: the wrong model choice, a brittle integration, or a pilot built on a data foundation that cannot scale. Bringing architects in while options are still open is far cheaper than correcting course on a production system. When leadership wants AI progress, but the team is still evaluating options, we turn open questions into a validated technical path before you commit.

A fractional architect works with your team part-time and focuses on architecture decisions, reviews, and standards. An embedded architect joins full-time for the build phase and leads the AI workstream day-to-day. Many clients start with the fractional format and move to embedded when a production build begins.

You do. All architecture decisions, RFCs, source code, and operational playbooks transfer to your team, and your IP stays with you throughout the engagement.

As involved as the work requires. In the Advisory format, the architect focuses on reviews and key decisions. In the Embedded format, they take part in your sprint planning, design reviews, and release decisions.

A fractional architect fits while AI work is concentrated in a few initiatives. A full-time hire makes sense once AI runs across several product lines and needs someone accountable for it every day.

Yes. Many engagements begin with one question, such as a build-vs-buy decision or a stalled pilot. The scope grows only if the first result proves useful.

The full decision log, the architecture documentation, and the operational playbooks. Your engineers also pair with the architect on the critical components so they can extend the system on their own.