June 2026
Accelerate speed to market by ReBooting your delivery approach
What we’ve been thinking about…
Two things have been occupying our thinking this month.
The first is how leaders can genuinely integrate AI into their own thinking, not to move faster, but to think better. As AI takes over more of the routine work, what remains for people is decisions. More of them, arriving more frequently. The risk we’re seeing is that leaders default to just accelerating to the decision point rather than improving the quality of the decision itself. The value humans bring is judgment, and doing that quickly and effectively requires redesigning your own work, workflow and processes to get real value from AI, not just layering it on top of how you’ve always worked.
The second is the value of shared understanding of how work actually flows, end to end, from idea to customer value. We keep seeing organisations rush to apply AI to their processes before they’ve clearly mapped what those processes are, where the handovers happen, where value gets delayed, and where the real bottlenecks sit. Bringing people across disciplines together to build that picture collectively, before pushing AI, is consistently one of the highest-return things an organisation can do. It’s the foundation that makes AI adoption targeted and evidence-based, rather than scattered.
What we’ve been writing…
Making Better Decisions, Faster
As AI takes on more of the repetitive, non-decision work (drafting, summarising, analysing, first-pass research) what’s left for people is decisions, and there will be a lot more of them, arriving a lot more often. The organisations that get the most out of AI won’t just be the ones with the best tools, they’ll be the ones who can make good calls quickly, and put that decision-making power in the hands of the people closest to the work, not just the people at the top. Most organisations, though, weren’t built for this pace, and the default approach (Consensus) makes it worse, not better.
That’s the focus of our latest 5-part series. We unpack why Consensus is costing organisations more than they realise, map out the decision-making spectrum, and introduce two genuinely better alternatives: Advice, built for speed and async communication, and Consent, which shifts the default from “everyone must say yes” to “no-one can say no.” The final article brings it together with a practical guide, including a five-step process (PARSE) you can start using this week.
We’ve been reading…
They Said It Would Cost $54 Million. We Said “No Thanks.”
The Alberta government was quoted $54 million and four years to replace two legacy IT systems, so they scrapped the procurement and built them with a small internal team and AI tools instead. The result: both systems live in production, used daily by 643 staff, for under $2.64 million. A remarkable case study in what becomes possible when you redesign the work rather than repeat the default.
by Nate Glubish
Human vs AI vs Human + AI: The Leadership Shift No One Is Explaining Properly
Barry O’Reilly cuts through the “will AI replace us?” noise with a more useful observation: roughly 80% of leadership time is consumed by meetings, updates and coordination, while 80% of leadership value comes from framing problems, evaluating trade-offs and making high-quality decisions. Until you redesign how judgment flows through your organisation, no AI tool will close that gap.
by Barry O’Reilly
Ten takeaways from the AI Engineering Report 2026: The Acceleration Whiplash
Based on two years of telemetry from 22,000 developers, this report finds that AI has dramatically increased engineering throughput, but also tripled production incidents, increased bugs by 54%, and flooded experienced engineers with review work they can barely keep up with. If your organisation is adopting AI tools but without focussing on rigour and quality, this is required reading.
by Faros Research
Organisational Dysfunction of the Day
In an attempt to spread the amazing conceptual framework known as Open Systems Theory (OST), Trond Hjorteland figured that making it relatable to common experiences people may have had in organisations could ease the understanding of not only its explanatory power, but also show how it can be used to make things better for people at work.
(Sorry this one is hosted in LinkedIn, so you’ll need an account to read)
Unlock your work with ReBoot Co.
If the themes in this newsletter feel familiar - decisions that move too slowly, teams that aren’t sure where AI will actually help, or workflows that have never really been mapped end to end - our Unlock engagement might be a good starting point.
Unlock is a four-week engagement designed to get to the heart of one specific problem quickly. We map your end-to-end workflow to identify what’s blocking delivery and slowing your teams down, and where AI will generate the greatest return, with a metrics baseline and co-created Improvement Roadmap.
If you’d like to explore what this might look like for you, let’s have a chat.
In the Press…
In case you missed it, our Team Topologies Case study with REA group was published! Read it here!
Evolving an empowered, high-performing delivery ecosystem using Team Topologies at REA Group
Alex’s book “Empowered Agile Transformation - Beyond the Framework“ is discounted for Australian readers while stocks last, or pick it up on amazon here.
ReBoot Co. are proud to be a Team Topologies APAC Advocate.
One of the few firms in Australia with genuine commercial experience applying Team Topologies at scale.