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HomeInsightsGround Truth
A Kollabio paper series

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.

01 · Published
02 · Published
03 · Next
04 · Planned
The series

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.

Ground TruthNext
03
Earning AutonomyWorking title

How a task earns more AI involvement, one level at a time, and the evidence each step needs.

Ground TruthPlanned
04
Governing the AgentWorking title

What oversight looks like when AI systems take actions, not just make suggestions.

How we write them

Practitioner papers, not predictions.

01

Written from delivered work

Each paper starts from what we've seen on real programs, not from forecasts.

02

Clear about what stays human

Every paper names the judgment that stays with people, and why.

03

Built to be used

Papers end with frameworks, walkthroughs, or checklists a program team can apply.

04

Grounded in federal delivery

Where it matters, papers cover the federal specifics: ATO, Section 508, EVM, and labor categories.

From the papers to the method

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.

See the method

New Ground Truth papers go out in KollabNotes.

KollabNotes

Monthly

One short email a month: what we've published, and what we're learning from the work.

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