A New Way to Connect Help: Nonprofits Launch an AI-Powered Referral Network to Move Clients Faster

4 min read
A New Way to Connect Help: Nonprofits Launch an AI-Powered Referral Network to Move Clients Faster

This article was written by the Augury Times






More Power Together opens, promising faster, smarter referrals for nonprofits

GPNP today unveiled More Power Together, a new online network built to help nonprofits send people to the right services faster. The organization says the platform is aimed at caseworkers, intake teams and local coordinators who now spend too much time on phone trees and spreadsheets. The core pitch: replace slow, manual referrals with instant, AI-assisted routing so a family in crisis gets connected to help without weeks of back-and-forth.

Why referral systems stall and why nonprofits are pushed to change now

Nonprofits often operate in their own lanes. Food banks, housing counselors, legal clinics and workforce programs all serve overlapping populations, but they rarely share the same client records or a common way to refer someone. That creates friction: missed handoffs, duplicate intake work, and people falling through the cracks.

Those gaps matter more than ever. Rising demand, tighter budgets, and combined social needs—housing, health, and income support—mean local agencies must coordinate or risk repeating effort. In many regions, a single urgent need touches multiple providers, and slow referrals can mean lost opportunities to stabilize a household.

What the platform actually does: instant routing, shared workspaces and AI that suggests next steps

More Power Together aims to be a shared digital layer for referral work. In plain terms, it lets one nonprofit create a referral packet—basic client information, eligibility notes, and requested help—and send it to other organizations on the network. The receiving group can accept, reject, or ask for more details without re-entering the whole intake.

The technical features GPNP highlights include:

  • Instant routing: an automated system that suggests the best local programs based on client needs and service capacity.
  • Shared collaboration spaces: notes, task lists and status markers that multiple agencies can update so everyone sees who is doing what.
  • AI assistance: the platform uses models to surface likely matches, flag missing eligibility data, and prioritize urgent cases. AI is presented as a decision-support tool, not a decision-maker.
  • Integration points: connectors that let partners link the network to their existing case-management software, so data does not have to be typed twice.

GPNP says the tool was built with common nonprofit workflows in mind and that the interface emphasizes simple forms, mobile-friendly views, and low training time. Pricing details were limited at launch; GPNP indicated the platform will be free for pilot partners and that a tiered model is planned for wider rollout.

Early partners say they expect fewer delays and clearer handoffs

At launch, GPNP pointed to a group of regional pilot partners spanning food assistance, housing, and workforce support. Those pilots drove the network’s initial routing rules and testing of shared workflows. Participants told GPNP they expect to cut referral lag and duplication of intake work, freeing staff to spend more time with clients.

Projected benefits on the table include faster connection times, fewer lost referrals, and clearer tracking so funders and program managers can see real flow across systems. GPNP framed these as practical gains rather than miracle cures: the network is meant to reduce everyday friction, not replace frontline judgment.

Privacy, data-sharing and the limits of an AI referral network

Those gains come with real questions. Any system that moves client records between agencies raises privacy and consent issues. Nonprofits handle sensitive information—income, immigration status, health needs—and rules vary by program and jurisdiction. GPNP says the platform uses encryption and role-based access controls, but how consent is collected, who owns shared records, and how long data is retained were only sketched out at launch.

Interoperability is another limit. The network may work well among organizations that join the same local ecosystem, but it will be less useful if big case-management vendors don’t fully support its connectors. And the AI angle brings a caution: models can be helpful for triage, but they also risk reinforcing biases unless tested carefully.

How nonprofits can sign up and what to watch for next

GPNP is opening the platform to pilot partners first and plans a phased rollout region by region over the coming year. Nonprofits interested in joining should expect initial access through local networks or coalition invites rather than an open public sign-up. Governance details—who sets routing rules, how disputes get resolved, and who pays for long-term hosting—are meant to be worked out with partners as the rollout continues.

Watch for a few things in the months ahead: published privacy and data-governance rules, a clear pricing timeline, and third-party evaluations of whether the network actually shortens referral times without compromising client privacy. If those pieces fall into place, More Power Together could be a useful tool for communities that have struggled to coordinate care. If not, it risks adding another silo with new compliance headaches.

Photo: RDNE Stock project / Pexels

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