Skyjed

Skyjed's CTO Stephen Brown is about to go on stage at Amazon Web Services (AWS) Summit Sydney to talk about how the Skyjed team built in 48 hours on AWS — and the governance question that changed when we realised we could build that fast. If you're at AWS Summit today, reach out to Stephen after the session. Whitepaper is live: https://bit.ly/4twuCtG Stephen Brown Teddy Aryono Kenny (Jun) Han Ambika Sinha #AWSsummit #BuiltOnAWS #Skyjed

What good looks like - three signals your AI lifecycle governance is actually working Products are being built faster than governance can keep up. Our CPO Helen Tsaganos has spent her career in product roles at Telstra, NBN, AGL, and now Skyjed - and the governance failure always looked the same. Features accumulated faster than anyone could govern them. Now AI development speed has made that gap open in 48 hours instead of 6 weeks. Read our 7-step playbook designed for CPOs on how to close this gap - starting Monday. Download it here along with our CTO's whitepaper when you compress a 4–6 week build into 48 hours on using AI-Driven Development Lifecycle, or AI-DLC. Five failure modes accelerate when development outpaces governance: shadow product risk, decommission debt, regulatory lag, Ghost R&D, and coherence breakdown. The playbook and whitepaper is here: https://bit.ly/4nqu4UL Stephen Brown is presenting with Teddy Aryono and Kenny (Jun) Han at Amazon Web Services (AWS) Summit Sydney 2026 on 14 May. If you're attending, come find us. Stephen Brown Teddy Aryono Kenny (Jun) Han Ambika Sinha Leica Ison Georgia Lee Alex Wade Helen Tsaganos #AWSANZ #AWSsummit #BuiltOnAWS #Skyjed #ProductGovernance #AIGovernance

Lifecycle debt is accumulating in product portfolios right now — and AI development speed is making it faster. Our CPO Helen Tsaganos has written about what it actually costs, and the moves that start closing the gap. Worth a read if you're heading to Amazon Web Services (AWS) Summit Sydney on 14 May where our CTO Stephen Brown is going to show what it looks like when a team compresses a four-to-six week feature build into 48 hours on AWS. It's impressive. It's also exactly the condition that makes lifecycle debt accumulate fast. 👇

Our Co-founder & CTO Stephen Brown has written about what actually happened when his team compressed a 4–6 week build into 48 hours using AI-Driven Development Lifecycle (AI-DLC). The speed is real. But here's what surprised him: the moment that acceleration was possible, the governance question became urgent in a way it never had been before. Five failure modes accelerate when development outpaces governance: shadow product risk, decommission debt, regulatory lag, Ghost R&D, and coherence breakdown. Read the full whitepaper here: https://bit.ly/4d8GWKn Stephen Brown is also presenting with Teddy Aryono and Kenny (Jun) Han at Amazon Web Services (AWS) Summit Sydney 2026. If you're attending, come find us. Register today: https://bit.ly/3P1D8CX Stephen Brown Teddy Aryono Kenny (Jun) Han Ambika Sinha Leica Ison Georgia Lee Alex Wade Helen Tsaganos #AWSANZ #AWSsummit #BuiltOnAWS #Skyjed #ProductGovernance #AIGovernance

We're heading to AWS Summit Sydney. Our CTO Stephen Brown will be on stage on 14 May sharing how our team built a production-ready feature in 48 hours that would have taken six weeks - and why that made the product governance question more urgent, not less. If you are attending, come find us. Register today for AWS Summit Sydney: https://bit.ly/4dovNXg If you're navigating this in your own organisation, our CPO Helen Tsaganos has just published on exactly this. https://bit.ly/42R4UoO Stephen Brown Teddy Aryono Kenny (Jun) Han Ambika Sinha Leica Ison Georgia Lee Alex Wade Helen Tsaganos #AWSANZ #AWSsummit #BuiltOnAWS #Skyjed #ProductGovernance #AIGovernance

Audit trail by design means you never have to ask: "Where is the evidence?" Because the evidence is created as a by-product of doing the work. In regulated product portfolios, an audit trail should capture: - What decision was made (and what was rejected) - Who approved it (and under what authority) - What inputs were used (data, customer outcomes, risk signals) - What exceptions were raised (and why) - When it happened (timestamps) - What changed afterwards (signals, incidents, outcomes) If you are assembling evidence after the fact, you are relying on memory and screenshots. That is expensive, slow, and risky. Build the trail into the workflow and you get speed and control at the same time. Want to see what evidence capture by default looks like? Email info@skyjed.com or visit https://www.skyjed.com

Audit trail by design is the difference between governance and guesswork. If your evidence is scattered across email threads, spreadsheets, and slide decks, you do not have an audit trail. You have a scramble. An audit trail that stands up to scrutiny is built into the workflow: 1) Evidence capture happens at the moment of decision (inputs, rationale, approvals, exceptions). 2) Ownership and timestamps are automatic. 3) Controls are consistent across the portfolio, not reinvented per product. 4) Retrieval is instant: one place to answer who decided what, when, and why. This is how regulated teams move from reactive reporting to always-on readiness. Want to see what evidence capture looks like in a modern PLM operating model? Email info@skyjed.com or visit https://www.skyjed.com

A question I want to put on the table before Amazon Web Services (AWS) Summit Sydney on 13-14 May: If your engineering team can ship a production feature in 48 hours that would have taken six weeks last year — and most of you reading this know that's now possible with AI — what happens to your product lifecycle governance process? I don't think leadership teams have answered this deeply yet. I'm going to try. On stage at AWS Summit Sydney, I'll walk through what actually happened when my team compressed a build cycle from weeks to hours — and the product governance failure modes that surfaced the moment we did it. There's a whitepaper landing in the next two weeks that maps the patterns we keep seeing across fast-moving product organisations. The talk is where the conversation starts. If you'll be there, I'd like to meet you. If you're navigating this in your own organisation, I'd like to hear how. 🔗 Register today for AWS Summit Sydney: https://lnkd.in/gftZb_kk Stephen Brown Teddy Aryono Kenny (Jun) Han Ambika Sinha Leica Ison Georgia Lee Alex Wade Helen Tsaganos #AWSANZ #AWSsummit #BuiltOnAWS #SKYJED #ProductGovernance #AIGovernance

Signal-based product reviews are how regulated teams stay proactive. When signals shift (complaints, performance, compliance drift, regulatory change), the review triggers automatically. Result: fewer surprises, faster approvals, and continuous compliance. Want to see what this looks like in practice? Email info@skyjed.com or visit https://www.skyjed.com

Mini-article: Audit trail by design (what to capture automatically) Most teams try to become audit-ready by writing better documents. In reality, audits fail when evidence is: - Late (pulled together at the end) - Unowned (no clear accountable person) - Unlinked (decisions, controls, and proof live in different places) A simple rule that scales: Capture evidence at the moment the work happens. What to capture automatically: - Decision: what changed, who approved, when - Control: which policy or regulation it maps to - Evidence: the data point, customer outcome, incident, or test result - Context: why it was accepted (risk rationale) What to keep manual: Anything that needs human judgment (exceptions, risk acceptance, trade-offs). If youre trying to reduce review time without losing control, this is the lever. Want the checklist? Email info@skyjed.com or visit https://www.skyjed.com