Case Study: Internal Tools That Save UN Offices $30,000 a Month

Client: United Nations, South Asia offices Build: Custom internal admin and data-processing tools Timeline: One sprint Stack: Next.js, Postgres, AWS Outcome: $30,000/month saved in manual processing costs

"Dhruv built our internal admin tools in a single sprint. Saved our UN offices $30k per month in manual processing costs. Clean code, clean handoff, zero drama." — Project Lead, United Nations

The problem

Large organizations run on documents and manual process. The UN South Asia offices were no exception: operational data flowed through spreadsheets, email threads, and manual entry steps that consumed staff hours every single day. The information existed. Getting it into a usable, queryable, auditable form was the expensive part.

This is the same problem almost every organization above 20 people has. The knowledge and the data are already yours. The cost is in the humans re-typing, reconciling, and searching for it.

The build

One sprint. Custom internal admin tooling on Next.js and Postgres: structured intake replacing manual entry, dashboards replacing spreadsheet reconciliation, and an auditable database replacing tribal knowledge.

No off-the-shelf tool fit, because the workflows were specific to how these offices actually operate. That specificity is exactly why generic SaaS fails at internal operations and why custom tooling pays for itself: the tool matches the workflow instead of forcing the workflow to match the tool.

The outcome

$30,000 per month in manual processing costs eliminated. The tools handed off clean: the UN's own team owns and operates them.

What this means if you run a business

You do not need UN scale to have this problem. If your team re-types data between systems, answers the same questions from the same documents, or reconciles spreadsheets weekly, you are paying a monthly tax that custom tooling removes permanently.

Today I build these systems with AI at the core: instead of just structured intake and dashboards, your team can ask questions in plain language and get answers grounded in your own data, documents, and policies.

That is the Knowledge AI Pilot: a working AI system on your company's own knowledge, live in 14 days, at a fixed $12,000. Book a scoping call to see if your workflow qualifies.