Software development. Pace... with control please.
Engineering leaders in regulated SaaS are feeling a very specific pinch right now. AI can make development teams build faster than ever before, but what of governance and control (I hear very few saying).
I could bore you with stats around software completion tasks, reports of between two and five times productivity gains sound about right (maybe a little low), but let's just take it as a given it's totally disrupted the development world, and sped up software development.
Pace is no longer the problem, agents wandering deleting company databases in 9 seconds might just be.
Riding the wave
The temptation, when AI makes building faster, is to strip back the process. Sprint ceremonies feel slow by comparison, refinement sessions redundant and PR reviews... "well, I'm sure the AI got it right".
This instinct is understandable and dangerous in a regulated environment, where speed of delivery and strength of governance must coexist (usually unhappily).
Keep the ceremonies, and enhance them. Bring in dedicated refinement agents, pulling from existing documentation. Pre-drafting acceptance criteria and automate journey tests (hello openclaw) and other checks to help human reviewers find the AI smells.
Yeah, the human's the key, now more so than ever, those senior devs sniffing out architectural smells (good luck to the juniors, tough job now).
The meeting conversation
Talking of the humans, I want to focus on the feature workshop. These are often where the fine detail is captured and provide insight into how and why changes are being made. In most teams, this record disappears with the call. "What about the scrum master / ceremony scribe?" - yeah if we want good analysis, we need the whole picture.
High-quality, indexed transcripts give teams accurate specs and an auditable record of design intent. This is all highly valuable information, and should be kept as it feeds into every future step of the development process.
At Scail, we can help capture and store this gold dust for future analysis.
What boards need to see now
Most businesses are already using AI. Very few can clearly answer where AI is creating value, where it is increasing risk, and which initiatives should be scaled, fixed, or stopped.
Our scorecard gives leaders a structured way to continuously measure AI across the areas that actually determine performance. This isn’t a one-off assessment. It’s a board-level view of what’s working, what’s drifting, what’s risky, what’s valuable, and what needs action now.
AI is no longer just a technology issue. It is a growth issue, a governance issue, a trust issue, a margin issue, and a board issue.
The winners will not be the businesses doing the most AI. They will be the businesses that build the strongest AI capability.
Read more about our AI Risk & Value Scorecard.
