AI Consulting | Human Interaction | Solution Building
AI consulting for businesses that need practical answers, not hype.
OPZET designs and builds custom AI for companies that need more than a chatbot. Strategy, development, automation, training, and adoption research — from concept to production.
20–30 minutes. No pitch decks. No obligations.
The AI adoption hurdles.
Organizations arrive at AI consulting with a technical question: what should we build? The more important question is whether the foundation is ready. That means data quality, IT infrastructure, and organizational clarity on what the system needs to do before anyone writes code. Most AI initiatives stall at one of these two points: the foundation was not in place, or the people who needed to use the system never trusted it enough to do so.
OPZET addresses these hurdles. We work directly with the people who own the problem, define what success looks like before a line of code is written, and deliver systems your team can use and maintain.
Human-Centered AI
AI that fits real workflows.
Getting employees to trust a new system, use it consistently, and maintain it over time is a different problem from building the system. It requires meeting people where they are, structured training, and the confidence that the system makes their work better rather than more complicated. Most AI firms treat this as someone else's job.
OPZET builds for both. An AI system that runs in production but that no one uses has not solved the problem.
Services
Six ways we work with clients.
Strategy and Advisory
AI readiness audits, roadmap development, vendor evaluation, and fractional AI leadership. For organizations that need a clear direction before they start spending on development.
Custom AI Development
LLM integration, RAG systems, AI agent design, model fine-tuning, and custom application development. Production-grade work, not proofs of concept left on a shelf.
Workflow Automation
AI-powered workflow design and automation builds. No-code, low-code, or custom code, integrated with the systems your team already uses.
Data and Infrastructure
Data pipeline design, vector database setup, cloud infrastructure for AI workloads, and the data preparation work that makes models reliable.
Training and Enablement
Human-in-the-loop (HITL) consulting, team AI literacy workshops, and custom training programs for organizations building the human infrastructure that AI adoption requires.
AI Adoption and Usability Research
AI interaction audits, adoption readiness studies, and moderated user research on how employees and customers experience AI systems. Built on human systems engineering methodology.
How It Works
From first call to working system.
Discovery Call
We spend the first 20–30 minutes understanding the business problem, the data you have, and what you need the outcome to look like. No pitch deck. No sales theater.
Scoped Proposal
We define deliverables, acceptance criteria, timeline, and pricing in writing before any work begins. If we can't define it clearly, we say so.
Build and Iterate
We work in phases with defined milestones. You see progress before the final delivery. Nothing ships until it meets the acceptance criteria we both agreed to.
Handoff and Support
We document what we built and how to use it. We don't create dependency. We transfer knowledge and, where relevant, train your team to maintain what we built.
A $10,000 engagement that redirects one failed AI initiative pays for itself in week one.
A $10,000 Discovery and Assessment that redirects one failed internal AI initiative pays for itself before the ink is dry on the proposal. We scope every engagement to deliver a measurable outcome, and we define what that outcome looks like in writing before any work begins.
Ready to stop exploring AI and start building with it?
Engagements start with a single conversation. 20–30 minutes, no pitch deck, no obligation. An honest discussion about what you are trying to solve and whether OPZET is the right fit.
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