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AI engineering
AI that acts, with guardrails that keep it honest.
AI agents, automation and applied machine intelligence, engineered into production systems rather than demos. Beyond the chatbot: secure, scalable automated workflows for the enterprise.
AGENTS IN PRODUCTION · OVERSIGHT DESIGNED IN
Running in production
Not demos: revenue-cycle automation and clinical data analysis, built for regulated production.
"Working with ZTG has been a tremendously positive experience. Outstanding professionalism and customer service. Highly recommended."
Your model, your perimeter
The model is a component. The system is the product.
ZTG is model-agnostic and deployment-agnostic by design. Where an AI system runs, which model sits inside it, and who can see the data are decisions made by your regulators, your data and your risk, not by a vendor's preference. The choice is yours, and every one of these is work ZTG engineers.
- Hosted frontier models, under enterprise terms. The fastest path when your data can leave the building: commercial terms that forbid training on your input, retention set by contract, guardrails engineered around the model.
- Your private cloud. Models deployed inside your own cloud tenancy or virtual private cloud, in your region, under your keys, so data residency is a property of the architecture rather than a promise.
- On-premises, open-weight. Open-weight models running on hardware you own, inside your perimeter, for environments where nothing leaves the network.
- Privately trained and fine-tuned. Models trained or fine-tuned on your data, within your perimeter, that you own outright, for work where the knowledge itself is the asset.
- Air-gapped and sovereign. Deployments for national programs and regulated operators, with no external dependency at inference time and every control documented for the auditor.
Discovery's systems audit and solution architecture stations settle which of these your problem needs before a model is chosen. The Security & data page has the commitments that apply to all of them.
Selected work
One team
Five disciplines. One accountable team.
Strategy, engineering, intelligence, security and operations under one roof, one contract and one standard, so nothing falls between them.
Common questions
Is this chatbots?
No. The focus is autonomous agents and automated workflows that act inside your systems, with oversight designed in.
Can AI operate in regulated environments?
That is where we work: healthcare revenue cycle, clinical data, insurance operations, with compliance support built into the engineering.
What is AI engineering at ZTG?
AI engineering at ZTG means operational AI: autonomous agents, automated workflows and decision systems running inside production environments. Governance and human oversight are designed in from the start.
How does an AI engagement start?
With Discovery. The six-station pass maps where AI earns its keep first, and the architecture and KPIs are validated before the build.
Which industries has ZTG deployed AI into?
Healthcare revenue cycle and clinical data operations, among them ParlAI Health and Teliox. Compliance support for HIPAA-regulated environments is part of the practice.
Have a complex problem?
Let's engineer the answer.
The brief takes about a minute: seven quick questions, an instant expert first read, and an engineer replies as soon as possible. No deck, no pitch.