Field Network · First Territory
We are partnering with a small number of Columbia organizations to document high-load workflows, preserve institutional knowledge, identify hidden operational burdens, and establish AI readiness before expanding the model regionally.
Who the pilot is for
Nonprofits, public agencies, schools, clinics, and local employers — any Columbia organization where critical knowledge lives in people's heads and the team feels the weight of it.
Work that repeats, matters, and currently depends on one or two people remembering how it goes.
Institutional memory that walks out the door when someone retires, leaves, or burns out.
Leaders who want to know where AI could actually help — and where it should stay out.
Bounded by design
Each pilot organization brings one consequential workflow. Not a department, not a transformation — one piece of work that matters, captured end to end.
What participants receive
The pilot produces usable artifacts your organization keeps — whether or not anything further happens.
The full workflow as it actually runs — steps, judgment calls, exceptions, handoffs.
Where the hidden operational load sits: the workarounds, the bottlenecks, the single points of failure.
Where AI could responsibly help this workflow — and where humans must stay in charge.
What Readable needs
Permission to talk with the people who do the work and observe the workflow in practice.
The real process, not the manual version. Workarounds included — that is where the knowledge lives.
Interviews and review sessions scheduled around your team's availability, not ours.
Built here, for here
Readable is based in Columbia. The pilot team is local, scheduling is local, and the knowledge stays with the organizations that produced it.
No travel budgets, no fly-in consultants, no generic playbooks. The pilot is designed around how Columbia organizations actually operate — small teams, real constraints, community accountability.
Small on purpose
Three pilots, done properly, teach more than thirty done thinly. Each organization gets the full lifecycle — authorization through human-reviewed asset — before the model expands regionally.
Admission is competitive and remains subject to scoping, evidence, permission, capacity, and human approval. Applying starts a review, not a partnership.
How we work
Readable does not roam, scrape, record, or enter sites without authorization. Every pilot assignment is invited work under written permission.
Your organization's information is used only for your pilot, under the data practices we agree together. Nothing is used to train AI systems. Nothing leaves the agreed boundary. Pilot participants are collaborators in documenting their own work — not research targets.