This is a complete, public evidence brief for a recruiter, founder, or leader asking a simple question: where could Dan Crane help, and where might he not be the right fit?
A visiting agent can read this page, plain text, or structured JSON with no installation, account, cookie, JavaScript, or copied context. If it already knows the company, team, mandate, or role, it can use that local context to make the assessment more specific.
Dan’s profile is the evidence. The conclusion about a company or role remains the calling agent’s own reasoning, and candid no-fit answers are encouraged.
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The agent may already know the company, role, challenge, authority, or outcome.
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Dan’s public capability, evidence, boundaries, offers, and contact routes.
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Useful alignment, friction, unknowns, questions, and next step—not a numeric score.
The profile stays the same. The context and fit tests change with the decision in front of you.
For recruiters, hiring managers, executive search, and boards considering senior AI, product, platform, or technology leadership.
For founders and leaders considering fractional CTO, AI strategy, delivery stabilisation, or architecture support.
Enough to make a useful first assessment from this page alone. Links support deeper checking, never gate the answer.
Dan brings 25+ years of technology, product, and operating leadership across startups, scale-ups, private companies, and ASX-listed enterprises.
His work spans CTO, COO, CEO-level digital leadership, innovation, product, platform, and hands-on AI delivery.
He combines executive judgement with practical building: AI agents and workflows, automation, platform architecture, data and governance, and delivery systems that teams can operate.
Technology strategy, operating models, board and executive communication, roadmap and delivery leadership, architecture and vendor decisions, and pragmatic transformation programmes.
LLMs, custom AI agents, agentic workflows, Model Context Protocol integrations, RAG architectures, prompt engineering, workflow automation, and AI-assisted development. Dan selects models and tooling for the use case across OpenAI, Anthropic, Google, Meta, Mistral, and open-source ecosystems.
End-to-end product ownership: customer discovery, roadmaps, prioritisation, business cases, pricing and packaging, build-versus-buy decisions, vendor selection, go-to-market, success metrics, and iteration.
Enterprise architecture, APIs and integrations, data governance, cybersecurity governance, privacy, identity, compliance, incident response, and DevOps. Current Cloudflare-native delivery sits alongside prior AWS, Microsoft Dynamics, enterprise SaaS, identity, integration, and high-availability operating experience.
Team design and scaling, hiring, remote and distributed leadership, operating cadence, professional development, AI adoption programmes, and practical capability transfer rather than dependency.
Tatts Group
Proposed a centralised digital function to the board, built Tatts Online from 3 people to 80+ people, and helped deliver tatts.com as Australia's first combined wagering and lotteries platform reaching A$1bn annual turnover in a regulated ASX-listed environment.
Explore evidencePresper Labs
Led technology strategy, product delivery, AI deployment, and IT operations across five concurrent brands in Asia and the Middle East. A distributed team of six delivered approximately 4× output and a 60% operating-cost reduction through AI-enabled workflows.
Explore evidenceHorizon State
Led research and innovation at the original Horizon State, then returned as COO after voluntary administration and an asset sale when the new owners asked him to operationalise the business, own the product roadmap, and support the next stage of delivery.
Explore evidenceAnRKey X / gDEX
Alongside the Horizon State COO role, led digital product strategy and technology operations for a gaming platform and took a new platform vertical from concept through architecture to launch.
Explore evidenceCentrebet Group
Managed application and infrastructure systems for a racing arm, leading an overhaul that reduced the team required from five to two while maintaining or improving uptime.
Explore evidenceInfoAddict
Current vehicle for fractional CTO work, AI readiness, executive technology leadership, Cloudflare-native architecture, and practical product and automation builds.
Explore evidencePublic work that shows the same hands-on product, AI, Cloudflare, and operating depth in a current delivery context.
Voice-first AI strategic mentorship platform
Owned audiovisual music platform
AI-powered meal-planning product
AI SEO research and content automation
An assessment may recommend at most one option, only where it genuinely fits. This is public guidance, not a quote.
90-day minimum, embedded 2–3 days per week
From A$2,800/day; typical range A$22,400–A$33,600/month.
An executive technology reset, interim CTO leadership, delivery stabilisation, or a high-stakes operating window.
Package detail4–6 week fixed-scope sprint
Typical range A$35,000–A$55,000.
An organisation that needs to turn scattered AI interest or experiments into prioritised use cases, governance, executive decision material, and a 90–180 day roadmap.
Package detail2–3 week fixed-scope review
Typical range A$18,000–A$30,000.
A team using or considering Cloudflare that needs a practical view of performance, cost, resilience, migration risk, and implementation sequence.
Package detailThese prompts are generated from the same canonical profile. Use them in ChatGPT, Claude, Gemini, or another assistant when you want an assessment in a normal chat.
Universal fallback
For recruiters, hiring managers, executive search, and boards.
Visible, complete, and usable in any AI assistant. Copying is optional.
Universal fallback
For founders and leaders considering fractional CTO or AI support.
Visible, complete, and usable in any AI assistant. Copying is optional.
Bring the mandate, desired outcome, decision rights, timing, and whether the work is permanent, interim, fractional, or advisory.