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NGO · Content automation

A newsroom that runs itself.

We rebuilt a non-profit newsroom's manual editorial process into an automated publishing pipeline — research, drafting, review, and distribution moving on their own.

AI AutomationContent SystemsInternal Tooling
Sector
Non-profit / media
faster publishing
30+
team members onboarded

The challenge

The editorial team produced everything by hand: sourcing topics in spreadsheets, drafting in disconnected docs, copy-pasting between tools, and manually publishing to multiple channels. Output was capped by how many hours people could spend moving content between systems, and onboarding a new contributor took weeks.

What we did

  1. 01

    Mapped the editorial flow

    We traced every step from idea to published piece and put a number on the hours lost to manual hand-offs.

  2. 02

    Built the pipeline

    Research, draft generation, structured review, and multi-channel publishing wired into one automated flow with humans at the decision points, not the plumbing.

  3. 03

    Onboarded the team

    We trained 30+ contributors on a system that fits how they already work, then stayed on to tune it as volume grew.

The outcome

Publishing throughput increased roughly 9×, with the team producing more while handling far less manual work. New contributors onboard in days instead of weeks, and the pipeline keeps running without engineering babysitting it.

We went from fighting our tools to publishing on autopilot. The team finally spends its time on the work that matters.
Editorial lead, NGO newsroom

Most operations are behind where they could be.

Book a strategy call. We'll map one system worth automating in the next 30 days. No pitch, just the plan.