The Real Pipeline

How Benavora actually works

Discovery, scoring, and drafting — with a human approving every step out — then learning from every win and keeping watch afterward. Eight real stages, scrolled through with sample data so you can see exactly how each one works.

01

Onboarding & Organization Profile

You tell us who you are once. We build a living profile of your organization that every other system below reads from.

Illustrative example — not live customer data
1
Org Info
2
Mission
3
Programs
4
Board
5
Service Area
6
Documents
7
Review
0%complete
Organization Profile Built
Mission
“Expand access to stable housing for families (sample).”
Board
5 members on file
Service area
Bay Area, CA
02

Opportunity Research & Discovery

Every day, AG-17 checks federal and state funding sources against your organization's real focus areas — filtering out what doesn't fit before a human ever sees it.

Illustrative example — not live customer data
Grants.gov
Daily
SAM.gov
Weekly
State Portals
Weekly
990 Filings
Batch
AG-17 · Opportunity Discovery Agent
+0 opportunities found

Scanning sources…

03

Filtering & Scoring

Every opportunity gets a transparent, deterministic score — not a vague AI opinion. You can see exactly which factors drove the number.

Illustrative example — not live customer data
Sample opportunity: “Community Health Innovation Fund” (illustrative)
Mission Alignment · weight 30%
Funding History · weight 25%
Deadline Proximity · weight 20%
Amount Fit · weight 25%
0scoring…

Computed deterministically from the factors above — not an AI guess.

04

Draft Generator & AutoApply Population

Once a fit is confirmed, our AI drafts a real, narrative-complete application for you — but it never submits anything on its own. A human always reviews and approves first.

Illustrative example — not live customer data
Executive Summary
Need Statement
Budget Narrative
Logic Model
Pending Human Review
Human Review
Program Director (illustrative)

A human always reviews and approves before a draft moves toward submission.

05

Proven Narrative Reuse

Every win teaches the system. Language that's actually earned a grant before gets surfaced first for your next application in the same funder category.

Illustrative example — not live customer data
🏆
Awarded Application
(illustrative)
📚
Knowledge Base
Proven ✓
📝
New Draft
“…proven language reused here (illustrative)…”

Every win teaches the system — language that has actually earned a grant surfaces first next time.

06

Ongoing / Continuous Research

The system doesn't stop after the first search. Every day it re-checks federal and state sources, and separately watches your existing funders for leadership changes, new funding priorities, and public recognition.

Illustrative example — not live customer data
Day 1Day 2Day 3Day 4Day 5
🆕 New match: Housing Innovation Grant (illustrative)
📡 Funder signal: leadership change at Sample Foundation

Daily and weekly scheduled sweeps — not continuous real-time streaming.

07

Email Parser: Classification, Not Auto-Reply

When a funder emails you, hand it to the system and get an instant, structured read — what kind of email it is, what's being asked, how urgent it is. The system flags it and tells you what to do next — it does not write or send replies on your behalf.

Illustrative example — not live customer data
giving@samplefoundation.org (illustrative)
Re: Your LOI Submission
Analyze
Structured read
ClassificationAward Notification
UrgencyHigh
Suggested next stepUpdate funder record
Your move — no reply is drafted or sent automatically
08

Email Mail-Merge Campaigns

One system to reach out — foundations, peer nonprofits, or local businesses — with a personalized, multi-step email sequence, sent for real through your own send infrastructure.

Illustrative example — not live customer data
Sample Foundation
Hi Dr. Alvarez — following up on our Bay Area housing initiative…
Sent via Resend ✓
Sample Nonprofit Partner
Hi Marcus — exploring a co-funding opportunity for…
Sent via Resend ✓
Sample Local Business
Hi Priya — your community giving program caught our eye…
Sent via Resend ✓

See it run on your own organization.

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