How AI changes software delivery across the lifecycle, from product and design through QA and operations.
Ground Truth: what we've learned building with AI.
A paper series on how AI changes the work of building and running systems, and the work of the people around them. Each paper starts from projects we've delivered and ends with something a program team can use.
Four papers, one argument.
The series moves outward from the code: first the build, then the people around it, then how much of the work AI should take on, then how to govern AI that acts. Papers release in order.
Practitioner papers, not predictions.
Written from delivered work
Each paper starts from what we've seen on real programs, not from forecasts.
Clear about what stays human
Every paper names the judgment that stays with people, and why.
Built to be used
Papers end with frameworks, walkthroughs, or checklists a program team can apply.
Grounded in federal delivery
Where it matters, papers cover the federal specifics: ATO, Section 508, EVM, and labor categories.
What we learn in Ground Truth shapes With-AI, the method we use on our engagements.
Paper 3 introduces Earned Autonomy, the rule for how AI takes on more of a task.
New Ground Truth papers go out in KollabNotes.
KollabNotes
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