Treat AI Agents as Products with Governance

I've written about what actually happened when my team compressed a 4–6 week build into 48 hours on using AI-Driven Development Lifecycle, or AI-DLC. The speed is real. But here's what surprised me: 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. The whitepaper is here: https://bit.ly/4tYQC1u I'm also presenting with Teddy Aryono and Kenny (Jun) Han at the Amazon Web Services (AWS) Summit Sydney 2026. If you are attending, come find us. Register today for AWS Summit Sydney: https://lnkd.in/gftZb_kk 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. 👇

Every product organisation I've worked in had the same problem. Features accumulated faster than anyone could govern them. Not because teams were careless. Because the cadence of shipping and the cadence of governance were never designed to run at the same speed. AI development has made that gap open in 48 hours instead of six weeks. I've been calling this lifecycle debt - the governance work you didn't do. The AI feature that shipped without a clear owner. The model you never defined how to monitor. The approval gate you skipped because the release was urgent. None of these items felt risky individually. They compound. At AWS Summit Sydney on 14 May, 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. It's impressive. It's also exactly the condition that makes lifecycle debt accumulate fast. I'm releasing a 7-step governance playbook for CPOs ahead of AWS Summit. Full blog piece here: https://bit.ly/3QVxd2Q Register today for AWS Summit Sydney: https://bit.ly/430TzCB Stephen Brown Teddy Aryono Kenny (Jun) Han Ambika Sinha Leica Ison Georgia Lee Alex Wade Helen Tsaganos Skyjed #AWSANZ #AWSsummit #BuiltOnAWS #Skyjed #ProductGovernance #AIGovernance

WEX is showing the industry how it’s done. At the AWS FSI Symposium , they walked through how they built an enterprise-grade agentic platform on Amazon Bedrock AgentCore - giving engineering teams the ability to build and deploy AI agents quickly, safely, and at scale. Built-in guardrails handle the governance so the builders can focus on building. Thank you to the WEX team for the partnership. Barry Driscoll Terry DelMonte Sachin Dhawan Dan DeLauro Ed Taggart Zijian Zheng Ron Gonzalez #AWS #WEX #FinancialServices

Financial services leads all industries in AI adoption. 73% report underwhelming ROI. Chun Schiros, PhD, NACD.DC, Field CTO at Amazon Web Services (AWS), closed #Rev26 with a diagnosis: most organizations are funding pilots and buying tools. It feels productive, but it doesn't compound. The path forward is one platform, domain expertise encoded into it, and an operating model redesigned from scratch. Three things stay constant: your mission, your governance, and the domain expertise no foundation model has. One thing has to change. #Rev26 #EnterpriseAI #FinancialServices AWS Partners

AWS has expanded visibility into Service Quotas for Bedrock-Mantle endpoints, now exposing per-model token and request quotas directly in AWS Service Quotas. Many AI applications work well during early prototyping, but as traffic grows, teams can run into model throughput limits such as requests-per-minute (RPM) and tokens-per-minute (TPM), leading to throttling responses, such as HTTP 429 errors. This update increases teams' capacity to: - Proactively monitor inference capacity - Understand per-model throughput limits - Plan production scaling earlier - Automate quota governance as part of platform engineering - Reduce surprises during launches Announcement: AWS Bedrock Service Quotas Update #AWS #AmazonBedrock #GenerativeAI #CloudArchitecture #PlatformEngineering #AIInfrastructure #LLMOps #SoftwareArchitecture

Managed to get out to Amazon Web Services (AWS) Summit Sydney yesterday! I’ve always found myself at the intersection of two worlds: Technology and Events. For as long as I can remember, I’ve been fascinated by both—the way events bring people together to share ideas, and the rapid pace at which technology evolves to fundamentally improve our lives. Sitting in the keynote delivered by Rada Stanic, Chief Technologist at AWS (albeit right at the back), it was clear that we are in the middle of a massive shift. The speed of change is incredible, but Rada hit on two points that really stuck with me: "The businesses that will succeed in the era of AI are the ones who will be able to trust it." And perhaps the most inspiring takeaway for anyone looking to innovate: "The best way to predict the future is to create it" #AWSSummit #AWSSummitSydney #EventMarketing

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

Claude Platform on AWS is GA today. Not the same as Claude on Bedrock. The difference actually matters. Anthropic operates this one. Data is processed outside the AWS boundary. If you're in healthcare, finance, or government, loop in your compliance team before you start planning adoption. For everyone else, the IAM and consolidated billing story is real. If your team already lives in AWS, not managing separate Anthropic credentials and contracts is genuinely useful. Where to think ahead before you scale it: The teams most likely to move fast here are running Claude Code across engineering orgs or building with Managed Agents. Both great use cases. Both also need workflow-level cost visibility, quality monitoring, and drift detection before they're running at any real scale. None of that comes with the access point today. Managed Agents is in beta. AWS and Anthropic are moving fast here and that's a good thing. Just plan the operational layer alongside the deployment, not after. #AWS #GenerativeAI #AmazonBedrock #AIGovernance

Amazon Web Services (AWS) is "rethinking every single part of the financial industry" — and it's not just about replacing technology. In this #AWS Financial Services Symposium exclusive, #theCUBE speaks with Scott Mullins, Managing Director of Financial Services at AWS Worldwide Financial Services, about the electric energy around AI and why this moment is different from past technology shifts. "We're not talking about replacing technology components anymore. We're actually talking about the ability to change business process, to change the way that work works, and I think that's what people are really excited about," Mullins shares. 💡 Get more insights! https://lnkd.in/dD49eKRA #FinancialServices #EnterpriseAI #CloudTransformation #AIinFinance Rebecca M. Knight