Private AI implementation background

About Eleticle

Founder-led private AI implementation for practical operations

Eleticle helps Australian businesses adopt AI in a practical, controlled, and privacy-aware way. The focus is useful workflow support, not generic chatbots or loose experiments.

Founder

George Bai, PhD

Mineral processing engineer turned data scientist, Brisbane

PhD in Engineering, The University of QueenslandMineral processing engineeringBrisbane, AustraliaLocal and private LLMsApplied AI and agent appsRAG and knowledge assistantsWorkflow automationPredictive modellingMachine visionDigital twinsProcess improvement

George Bai founded Eleticle to make AI useful in everyday business operations. Based in Brisbane, he brings together mineral processing engineering, data science and automation to build practical workflows that keep people in control of important decisions.

Through Eleticle, George has successfully helped small and medium-sized businesses across a range of industries streamline their day-to-day operations. Examples include finance brokers, a car rental company and tourism operators in Brisbane, with work spanning enquiries, document checks, inbox triage and reporting. Each workflow reduces repetitive work while keeping a person responsible for the decisions that matter.

George began his career as a processing engineer. His PhD at The University of Queensland applied modelling and AI to mineral processing operations. He has since built industrial digital twins and predictive models for mining and energy companies. More recently, he has developed AI agents and AI-powered workflows for energy trading and day-to-day industrial operations.

Why founder-led matters

Early AI projects need judgement as much as tools

The hard part is often deciding what to automate, what to leave manual, what data to expose, and where review belongs. Keeping discovery, design, delivery, and support connected helps those decisions stay practical.

Faster scoping
Fewer handoffs
Better judgement on what not to automate
Direct accountability
Better fit for early AI projects where risk and workflow design matter

Relevant experience

Practical technical depth for controlled AI adoption

Mineral processing and metallurgy

Plant design and commissioning, a PhD on slurry dewatering and monitoring, and digital twins for operating processing plants.

Data science and predictive modelling

Applied modelling, analytics, automation, and decision-support work across real business contexts.

Machine vision and digital twins

Experience translating technical data, physical systems, and operational signals into useful workflows.

LLM agents and private AI implementation

Many shipped agent apps on local and cloud models: retrieval, document processing, inbox triage, and multi-app workspaces, each designed around data boundaries, review points, and adoption.

How delivery works

A controlled path from discovery to handover

The delivery model starts with one workflow and one clear boundary, then expands only after the prototype has been tested with the people who will use it.

How a built workflow runs: a scoped brief flows through private research, drafting and analysis inside a governance loop, producing measurable business outcomes.

The picture shows a workflow once it is built: a scoped brief moves through private research, drafting and analysis inside a governance loop. The five steps below are how we get there.

01

Discovery

A free session on one workflow that should not still be manual.

02

Workflow design

What the assistant may read, prepare and hand back, and where a person decides.

03

Prototype

A scoped app in your Eleticle workspace, on the deployment you choose.

04

User testing

The people who will use it try it on real work, and it changes with them.

05

Handover

Training, documentation and support, with the next workflow only when this one works.

The businesses Eleticle helps

Eleticle works with Australian small and mid-sized businesses that handle operational knowledge, documents, client information, repeat enquiries, admin processes, inventory, scheduling, or other workflows where privacy and control matter.

What stays human

Important judgement, sensitive customer interactions, final approvals, and business accountability stay with people. AI prepares, searches, extracts, checks, and drafts inside the workflow boundaries.

Discuss a workflow with Eleticle

Request a short review to explore whether private AI is a practical fit for your business.