
20+ Years Technology Leadership
Former CTO · Federal Gov. Infrastructure
CQUniversity Lecturer · 8+ Years
MACS CP · M.Eng.Tech
Most AI Strategy Leaders bring one of these three capabilities. The combination of all three — operating technology at enterprise scale, teaching it at university level, and building a live AI platform that validates the methodology — is what distinguishes an AI Strategy Leader who can do the role from one who can describe it.
Two decades of technology execution across private enterprise and national government infrastructure. Former CTO with full-stack technology leadership responsibility. Federal Government Technical Operations Manager: national infrastructure deployment across 20 cities, 3 time zones, 4,000 users, and critical system uptime requirements that have no tolerance for pilot-mode thinking. The operating experience that most AI Strategy Leaders lack: what it costs when the system fails at scale, and what governance structures prevent it.
Lecturer and Tutor at CQUniversity for 8 years 8 months, teaching the next generation of IT professionals across 15 subjects: Programming Fundamentals, Enterprise Software Development, IT Project Management, Workflow Analysis & Modelling, Applied Distributed Systems, Network Security, Human Computer Interaction, and 8 additional disciplines. The pedagogical discipline of making complex technology genuinely comprehensible to people who are new to it is the same capability that makes enterprise AI change management succeed.
The methodological output of two decades in technology: a live, validated AI strategy platform deployed across 30+ industries with 1,500+ domain-specific prompts, 15 integrated AI workflow systems, and operations running with near-zero daily intervention within 60 days of launch. Expert AI Prompts is not a portfolio piece — it is a continuously operating proof of concept for the enterprise AI transformation methodology described in the eight framework documents and the three pillar pages.
Expert AI Prompts is the methodology made operational. It is not a consulting service, a training programme, or a framework document. It is a live AI platform built and operated by a single AI Strategy Leader — to demonstrate that the methodology produces real results at production scale, without developer teams, VC capital, or headcount scaling.

An AI Strategy Leader who can describe an enterprise AI transformation framework is a candidate. An AI Strategy Leader who has built and is operating a live, multi-industry AI platform that validates every framework described on this page is a practitioner. The difference between the two is the difference between a strategic narrative and evidence. Expert AI Prompts is the evidence. It is also the reason that an inbound approach for an AI Strategy Leader role at $300K+ USD base arrived through the platform's own market presence — not through an application.
Every framework, principle, and methodology on this page is operational in a live system you can verify at expertaiprompts.com. That is not a claim most AI Strategy Leader candidates can make.
The AI Strategy Leader interview portfolio is an eight-framework package that answers every Stage A, B, and C executive interview question with a specific, structured document. Each framework was built to solve a real decision problem. Each is verifiable in the Expert AI Prompts live platform.
Board-level governance architecture. EU AI Act compliance. Shadow AI containment. Four-layer design. APP 1.7, SOC 2 alignment.
12-factor weighted scoring across Build, Buy, Partner, Hybrid. 3-Year TCO model. Vendor lock-in assessment. 10 pre-contract questions.
4-dimension scoring to select, sequence, and kill AI use cases. Production gate criteria. Pilot-to-production exit logic.
5-phase deployment architecture from Foundations to Autonomous Operations. BCG 10-20-70. ADKAR. J-curve ROI model. 5 board KPIs.
9-role AI team architecture with responsibilities, decision rights, and 2026 salary benchmarks. Champion Network design.
ARIA model (Ambition, Risk, Investment, Accountability) for quarterly board reporting. Incident response protocol.
Day 30, 60, and 90 deliverables. Named Quick Win. CoE charter. First governance policy. Day 90 ARIA board briefing.
Four-category portfolio model (Moonshots, Core Operating Leverage, Compliance, Explore). Investment allocation benchmarks. Annual board review.
The eight frameworks are not independently built documents. They are an interconnected portfolio: Gap 1 governance architecture is the operating environment for Gap 4 deployment phases. Gap 3 use case prioritisation feeds the Gap 8 portfolio matrix. Gap 7 day-90 board briefing is built using the Gap 6 ARIA model. The coherence is intentional — it mirrors how a functioning enterprise AI programme is actually structured.
An AI Strategy Leader who places a completed Gap 7 90-Day Onboarding Plan on the interview table — specific Day 30/60/90 deliverables, a named Quick Win, a CoE charter, and a Day 90 ARIA board briefing — has answered the most important interview question before it is asked: 'Is this person ready to lead from Day 1?'
Founder / CAIO / AI Strategy Leader. Built a live enterprise AI platform spanning 30+ industries, 1,500+ domain-specific prompts, 15 AI workflow systems. Near-zero daily operations within 60 days of launch. Inbound $300K+ USD AI Strategy Leader role interest.
Lecturer and Tutor. 1st, 2nd and 3rd Year Bachelor of Information Technology. 15 subjects including Enterprise Software Development, IT Project Management, Workflow Analysis & Modelling, Applied Distributed Systems, and Network Security. IoT and sensor network researcher.
Chief Technology Officer. Designed and built the full technology architecture for the consultancy platform: website, membership portal, communications infrastructure, events framework, and content delivery system. Main engagement July 2021 – December 2022. Continuing in a casual consulting capacity. See: consultancydd.com/matthew-bulat. (Concurrent with CQUniversity.)
Project Manager — Corporate Performance Management. Led development and implementation of the corporate performance management and statutory reporting system. Designed the PMO toolset for investment management.
Chairman, Australian Computer Society North Queensland Chapter — the oldest ACS chapter, established 1971. Presentations on Cloud Computing, Virtualisation, VOIP, and Network Security. Community knowledge transfer and professional development. (Concurrent across multiple roles.)
Technical Operations Manager — Commonwealth Government Client. Delivered and maintained national PABX and server infrastructure across 20 sites, 3 Australian time zones, for up to 4,000 Commonwealth Government users. Maintained >99.5% system availability. Led national reporting, change control, and system upgrade programmes.
Senior Systems Engineer. LAN/WAN installation, administration, and support. NEC telephony engineering. Programming services for Toowoomba City Council and St Vincent’s Hospital. Wireless network engineering consultancy.
Chief Engineer. Designed and built the hardware and software for a broadcast automation system managing 6,000+ music tracks, advertisements, time calls, and back announcements — running 24/7 with a real-time scheduler and database backend, and streaming online. Full technical infrastructure responsibility: networks, audio systems, computer automation, and safety-critical broadcast systems.
20 cities · 3 time zones · 4,000 users · >99.5% availability · 10 years
59-server, 46 TB call recording architecture across multiple government departments. Automated
server health, drive space, and process tracking deployed nationally.
6,000+ tracks · Real-time scheduler · Database backend · 24/7 · Online streaming
Custom hardware and software built from the ground up for unattended broadcast operations.
The ability to build AI systems that run autonomously at production scale is not a new capability. It is a 35-year pattern.
The Expert AI Prompts Enterprise Framework is a proprietary methodology for enterprise AI transformation that synthesises three proven change management frameworks (ADKAR, BCG 10-20-70, McKinsey 7S) with a five-component prompt engineering architecture, a four-phase governance design, and a five-tier AI maturity progression model. The methodology was developed through 20+ years of technology leadership experience and validated in live production across 30+ industries.
The framework is expressed in three pillar pages (Enterprise AI Transformation Playbook, Enterprise AI Governance Framework, AI Buy vs Build Decision Framework), five cluster category pages, 40+ supporting blog posts, and the eight Gap Asset frameworks that constitute the AI Strategy Leader interview portfolio. Every element of the framework is operationally validated in the Expert AI Prompts live platform.
• AI Governance Framework — Board-level governance architecture with EU AI Act, APP 1.7, and SOC 2 alignment
• AI Buy vs Build Decision Framework — 12-factor weighted scoring across all four investment paths
• AI Use Case Prioritisation Matrix — 4-dimension scoring with production gate criteria
• Enterprise AI Transformation Playbook — 5-phase deployment from Foundations to Autonomous Operations
• Hybrid AI Team Structure Template — 9-role architecture with 2026 salary benchmarks
• Board-Level AI Communication Framework (ARIA Model) — quarterly governance reporting design
• 90-Day AI Strategy Onboarding Plan — Day 30/60/90 deliverables with Named Quick Win specification
• AI Portfolio Matrix — Four-category portfolio with investment allocation benchmarks
Master of Engineering Technology (M.Eng.Tech)
CQUniversity, Australia
Bachelor of Information Technology (underlying degree discipline)
15 CQU Subjects Taught:
· Programming Fundamentals
· Enterprise Software Development
· IT Project Management
· Workflow Analysis & Modelling
· Applied Distributed Systems
· Network Security Project
· Mobile Software Development
· Software Design & Development
· Object Oriented Programming
· Internet Applications
· Website Development
· Human Computer Interaction
· Professional Communication in ICT
· Application Development Project
· Database Design & Implementation
MACS CP (Chartered Professional)
Australian Computer Society
Certifications (selected):
· Pay Per Click Automation
· Affiliate Marketing Foundations
· Android Studio Essential Training
· Android Development Essential Training
· Giving Your Elevator Pitch
Microsoft Virtual Academy:
Platinum Membership — Top 50 in Australia
Australian Computer Society (ACS)
· NQ Chapter Chairman (2007–2022, 15 yrs)
· QLD Committee Member (2010–2013)
Publications (selected):
· Townsville Innovative Future
· IT Jobs Formula — The 1500+ Roles in IT
· Enabling Regional Innovation with Fast Broadband
· Business Strategy Tips for Business Growth by Design
Townsville Startup Weekend: Mentor (2014–2016) Business Model Development
Enterprise AI Strategy Development
AI Governance Architecture & CoE Design
AI Transformation Programme Design
Buy vs Build Decision Advisory
Board AI Readiness & Governance Briefings
Executive AI Skills Programme Design
Chief AI Officer (CAIO)
VP of AI / Head of AI
AI Strategy Leader (technology or consulting org)
CTO with AI Transformation mandate
AI Practice Lead (global consulting)
Requirement: Remote-first or hybrid. Global scope. Meaningful equity upside. Strategic authority from Day 1.
If you are evaluating Expert AI Prompts for enterprise AI consulting, or if you are looking for an AI Strategy Leader who has built the methodology rather than just described it, the most efficient first step is a 30-minute strategy session.
[email protected] · 0407 320 726 · Townsville, QLD, Australia
linkedin.com/in/matthewbulat
Open to global remote. ESTA-eligible for US travel. W-8BEN / ABN active. Available for international executive roles.