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Agent Z

Solutions

Two practices. One standard of engineering.

We are technology-agnostic: we choose the platform that fits the problem, your systems and your team's ability to own the result.

Practice 01

AI Applications & Automation

Purpose-built tools that replace spreadsheets, repetitive administration and disconnected processes.

  • Purpose-built internal applications, portals and workflow management tools
  • Replace spreadsheets, repetitive administration and disconnected processes
  • Integrate APIs, ERP, CRM and operational systems
  • Rapid delivery using Lovable where appropriate, alongside other platforms and custom code

Illustrative use cases

  • Job intake & approval portal. A single portal with structured intake, routing rules, approval steps and a live status board.
  • CRM-to-finance handover automation. An automated workflow that validates data, creates records across systems and flags exceptions.
operations / requests

Intake2

Site access request

1d

Equipment order

2d

Review1

Contractor onboarding

1d

Approved2

Maintenance job #A-112

done

Supplier change

done
Automation: notify approver when request enters Review
Illustrative interface of a workflow management application

Placeholder · Product demo

An approved demo or screenshot for this practice will be added here once supplied.

Practice 02

Enterprise AI Engineering

AI systems engineered to connect securely to real business data and existing infrastructure.

  • Enterprise AI architecture and cloud integration
  • Retrieval-augmented generation (RAG), vector search and knowledge systems
  • AI agents and secure access to business data
  • AWS, Azure and GCP implementations where appropriate

Illustrative use cases

  • Policy & procedure knowledge assistant. A retrieval-augmented assistant grounded in approved sources, with citations and access controls.
  • Operational data agent. An AI agent with scoped, audited access to business data and clear human review points.
Policies
CRM
ERP
Access control
Retrieval + vector index

Agent response

Grounded answer with cited sources

Illustrative architecture

Placeholder · Product demo

An approved demo or screenshot for this practice will be added here once supplied.

Not sure which practice fits?

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