Alexander Intelligence

We Build AI That Works. Safe. Effective. SecureWe work with CEOs and Managing Directors of operationally complex, mid-size businesses — typically AUD $20 million to $200 million in revenue — where AI is either being deployed or needs to be, and where the consequences of doing it wrong are real.Typical sectors: logistics and transport, waste and infrastructure, financial services, healthcare operations, and professional and industrial services.We are typically engaged at one of four moments:Before deployment — AI investment has been approved and leadership wants to move at speed without creating exposure they cannot manage.
During operation — An AI system is already running without proper controls, and leadership has become aware of what that means.
After a stall — A pilot demonstrated value but has not progressed, because authority is unclear, the board is uncertain, or the implementation path is not credible.
Before a renewal — D&O, professional indemnity, or cyber insurance renewal is approaching and AI governance is now on the agenda.This is a CEO-level engagement. It is not an IT project.

Why We Are Different
There is no shortage of firms that will build you an AI system. However...Most of them will build it quickly, hand it over, and move on. The system will work. Until it doesn't. And when it doesn't, you will be on your own — holding a technical asset with no accountability structure and no defensible record of how it was authorised to operate.We do not build and leave.We bring two things that almost no other implementation firm offers together:Technical architecture designed for operational reality. Our team designs systems around how decisions are actually made inside your organisation — not how process documents suggest they should be made. That means fewer gaps between what the system does and what the operation needs.Governance built into the build. Every system we deliver includes its own accountability structure — the authority conditions, control thresholds, oversight mechanisms, and evidentiary records that allow your board to authorise deployment with confidence and your organisation to defend it under scrutiny.The result is AI that performs commercially and survives operationally — designed, from the first day, to be something your organisation can actually own, operate, and stand behind.

How We Work
This is what a typical client engagement looks like.1. AI Readiness Assessment
Two weeks — AUD $15,000–$20,000
Before anything is built, we establish the truth of your current position.
We map where AI is already operating in your organisation — formally and informally, including the shadow AI your staff are using without authorisation or oversight. We identify where the operational opportunity is real and where the risk exposure already exists.
You receive a clear, confidential assessment:Where AI can genuinely improve your operations — and where it cannot
Where AI is already influencing decisions without controls
What your current liability and security exposure actually looks like
A scoped proposal for what to build, in what sequence, and why2. Custom AI Build
6–16 weeks — AUD $80,000–$250,000
We design and build an AI system specific to your operational environment — not adapted from a generic platform, but purpose-built for how your business actually works.Our technical team designs the architecture. Our development team builds it. And from the first day of design to the final day of deployment, the four principles — human-directed, secure, accountable, defensible — are built into the system itself, not documented separately afterwards.
What we build varies by client. Current implementation areas include:Operational decision systems — scheduling, routing, resource allocation, load and dispatch management, with escalation logic and override pathways that are operationally realistic, not theoretical.Commercial intelligence systems — pricing engines, contract evaluation, credit assessment, and customer allocation tools built with defined thresholds and audit trails that satisfy commercial, regulatory, and insurance scrutiny.Internal knowledge and workflow systems — AI embedded into complex internal processes where decisions involve multiple variables, conditional logic, and human accountability — replacing fragmented manual workflows with auditable, intelligent pipelines.Risk and compliance automation — classification, monitoring, and flagging systems for regulated environments, built to the evidentiary standards required by regulators, auditors, and insurers.Every build concludes with formal authority authorisation — the defined conditions under which the system operates, adopted by leadership or the board, documented and durable.3. Managed AI Service
AUD $5,000–$12,000 per month
After delivery, your system does not stand still. Models improve. Operations change. Regulation shifts. New use cases emerge.Our managed service ensures your system continues to perform, remains secure, and stays ahead of the changes that would otherwise require you to start again.This includes system monitoring, model updates, performance reporting, regulatory change integration, and ongoing advisory as your AI environment evolves.
For most clients, this is where the relationship becomes most valuable. The system is embedded in your operations. We understand it completely. And the cost of that continuity is a fraction of what it would take to rebuild or replace.4. AI Governance & Authority Design
AUD $20,000–$50,000 — standalone or embedded
For organisations that need the accountability framework without a full build — or need to govern AI systems already in operation.We design the decision authority conditions under which your AI systems may operate, translate them into durable records, and produce the evidentiary artefacts that make your AI deployment defensible to regulators, insurers, and the board.
This is not a policy document. It is decision infrastructure — specific, operational, and designed to survive personnel change, system evolution, and regulatory scrutiny.

Our Team
Dr Theo Alexander
Founder & Principal
Theo brings the combination this work requires and that most implementation firms cannot offer: 23 years of senior legal practice, board-level governance experience, and deep expertise in how organisations make decisions under pressure and how those decisions are scrutinised afterwards.
His role in every engagement is to ensure that what is built is not only technically sound and operationally effective, but commercially defensible — in a boardroom, a regulatory inquiry, or a legal proceeding — two years from now. He leads client engagement, implementation governance, authority design, and executive integration throughout every build.Craig Cauchi
Technical Architecture Partner
Craig leads all technical design and system architecture at Alexander Intelligence. His background spans complex AI system design, enterprise integration, and operational technology in high-consequence environments. Craig translates operational requirements into technical reality — ensuring that what is built actually works the way the operation needs it to, that the security architecture is genuine, and that the accountability structures are embedded in the system, not assumed.Regional support
Khathasak Samat — ASEAN Operations & Development, Bangkok
Leads development operations and analytics support across Southeast Asia. Supports implementation delivery, authority mapping, and AI deployment for organisations operating in or expanding into ASEAN markets.Jacqueline Nguyen — US Legal & Regulatory Advisory, New York
Commercial law background with US jurisdictional focus. Supports cross-border regulatory interpretation and governance context for US-facing and dual-jurisdiction engagements.

Contact
We work with a small number of clients at any time. Engagements are confidential. We do not publish client names or case studies without explicit permission.If you are deploying AI — or considering it — and you want it built to perform and built to last, the right first step is a direct conversation.
One question to ask yourself before that conversation:If your AI system made a significant operational error today — a pricing failure, a compliance breach, a safety incident — could you clearly show your board, your insurer, and your regulator who was responsible, what the system was authorised to do, and why that was reasonable?If the answer is not immediately clear, we should speak.Dr Theo Alexander
[email protected]Craig Cauchi
[email protected]