01
AI Systems Architecture
Model selection, retrieval, evaluation, and the boundaries between them. The decisions that are expensive to reverse, made deliberately and before the code is written.
AI Architecture & Engineering
Assembled for the mission.
Dissolved when it’s done.
VEXIL designs and builds AI systems that run in production: architecture, agent tooling, and internal software. Every project has a fixed scope. The people who scope the work are the people who build it, and it is handed over working.
- How it works
- Fixed-scope projects.
Agreed objective, agreed end date. - Who you work with
- The engineers who build it.
No account manager in between. - What you get
- Working software in production.
Documented and handed over.
Most AI consulting fails
before the first sprint.
The generic playbook often arrives before anyone has understood the problem. The engagement is sold by senior people and delivered by junior ones. What lands is a strategy deck, a proof of concept that never leaves the notebook, and a system the in-house team was never set up to maintain.
VEXIL runs the opposite way. A small senior team works against one objective and does the architecture and engineering itself. There is no translation layer between the people who scope the work and the people who ship it, and no standing retainer once the objective is met.
Common failure modes
F-01Playbook precedes problem
F-02Sold senior, staffed junior
F-03Prototype with no path to production
F-04Handover that creates a dependency
F-05Retainer outlives the objective
What VEXIL builds
Five areas of work. Most projects combine two or three of them, and none of them get handed to someone else after the contract is signed.
02
Applied Agent Engineering
Tool design, orchestration, and failure handling for agents that run against real systems, and built to stay observable when they misbehave.
03
Rapid Prototyping
A working build in the hands of the people who asked for it, fast enough that their feedback still changes the outcome. Whether it is a throwaway or a foundation gets decided up front, not discovered later.
04
Executive AI Tooling
Personal assistants and internal ops automation for people whose time is the binding constraint. Built around one person’s actual workflow rather than a product roadmap, and operated once it is live.
05
AI Strategy & Ops Advisory
Where AI belongs in the organization, what it costs to run once the pilot ends, and which initiatives are worth funding first. Written answers you can act on.
Scope. Build.
Hand off. Close out.
Four phases with a defined end. You know what happens in each one, what you get at the end of it, and when the engagement closes.
Phase 01
Scope
Define the objective, map the systems it touches, and agree in writing what finished looks like. That takes days, not months.
Phase 02
Build
Architecture and engineering in the open. Working software in review on a short cycle, with direct access to the people building it.
Phase 03
Hand Off
Documentation, runbooks, and a walkthrough with whoever owns it next. Nothing is engineered to require the team that built it.
Phase 04
Close Out
The engagement ends on the agreed date. Ongoing support is available if you want it, but it is opt-in and never assumed.
Selected deployments
The systems VEXIL builds and runs. Client names withheld, detail available under NDA.
Executive AI Assistant
A personal AI assistant system for a senior media executive. It handles correspondence, scheduling, research, and briefing prep against live accounts with a human in the loop. Built and operated end to end.
Autonomous CRM Pipelines
Agents that move the pipeline forward on their own: lead capture, enrichment, scoring, routing, and follow-up sequencing. Records stay current as a by-product of the work rather than a separate task.
Agentic Workflow Automation
Multi-step internal processes handed to agents with real tool access. They read the systems of record, make the call, write the result back, and escalate to a human when confidence drops.
Internal Knowledge Agents
An agent that answers from the company’s own systems rather than the open web. Retrieval across internal documents and records, with every answer cited back to its source so it can be checked.
Client names withheld pending approval.
You work directly with
the people building it.
Zach Rice founded VEXIL Systems and leads the team. He builds production AI systems: real-time platforms, executive-facing tooling, and applied agent engineering. They run against live data rather than sitting in a deck.
Before moving fully into AI, he scaled a Web3 gaming community past a million members. That is where the second half of the toolkit comes from: distribution, audience, and a working understanding of how a product actually reaches the people it is for. He operates in public, with a substantial following across tech and AI.
Current work includes building and running a personal AI assistant system for a senior media executive. It is a live system with real organizational stakes, not a pilot. Architecture through deployment stays inside the team that scoped it.
- Role
- CEO & Founder
- Direct
- zach@vexilsystems.io
- /in/zachary-alexander-rice
- Domain
- Applied AI / agent systems / real-time platforms
- Track Record
- Multiple live production deployments
- Also Built
- SPECTR, a real-time tactical mapping platform
- Prior
- Scaled a Web3 gaming community past 1M members
- Presence
- Operates in public, with a large tech and AI following
- Scope
- Architecture → prototype → production, in house
Start a project
Tell us what you are trying to build and what is standing in the way. You will hear back from the team that would do the work, whether or not it turns out to be a fit.
contact@vexilsystems.io