AI agents and automation
Glyz designs and builds AI assistants, agentic workflows and automation for pharma, healthcare and other regulated organisations in Ireland and Europe. People stay in control of the decisions, every step is recorded, and data stays within the boundaries you set.
In brief
An AI agent is software that uses a language model to carry out a task in steps, such as searching approved sources, summarising, drafting, checking or routing work, rather than only answering a single question. An agentic workflow chains these steps together and hands over to people at defined points.
In regulated industries the design matters as much as the model: which sources the agent may use, which decisions need human approval, how actions are logged, and how personal data is protected. Glyz builds agents and automation with these controls defined before anything goes live.
What we build
Start with one workflow and extend once it proves its value.
Assistants that answer questions and draft content using only the documents and sources you approve.
Faster answers your teams can check and trust.
Multi-step workflows in which AI agents search, summarise, triage and draft, with people approving at defined points.
Repetitive work handled by AI while people keep the decisions.
Models for forecasting, classification and pattern detection, developed with the documentation and validation regulated organisations expect.
Models your teams can explain, check and rely on.
Applications and automation that replace spreadsheets, email chains and manual hand-offs with governed workflows.
One governed process in place of scattered files and manual steps.
How we work
We choose one workflow, agree what good looks like and identify the risks.
We set the approved sources, approval points, logging and data protection rules.
We build a working prototype and test it with the people who will use it.
We complete, test and document the solution, then release it to an agreed plan.
We monitor quality and usage and improve the workflow over time.
Why Glyz
Our team designs AI and automation alongside the content, review and compliance processes it has to fit, so solutions are built for how regulated teams actually work. Strategy, design, development and training sit in one team, from the first prototype to everyday use.
Read the AI-assisted content workflow case study ›Questions
Software that uses a language model to carry out a task in steps, such as searching, summarising, drafting or routing work, rather than only answering a single question.
Yes, when they are designed with approved sources, human approval points, logging and data protection in place. We define these controls with your teams before anything goes live.
We design solutions so your data stays within the services and settings you approve, and we agree data handling with your data protection team at the start.
Automation follows fixed rules, while an AI agent can interpret text and decide between steps. Most good solutions combine both, with people approving the decisions that matter.
With one well-defined workflow and a working prototype, so you can see the value and the controls before investing further.
Tell us about it and a senior consultant will respond within one business day.
