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OPERATIONS INTELLIGENCE, BEFORE AUTOMATION

An AI-assisted tool that diagnoses where manual work hides inside a business — and what should be automated first, backed by evidence, not guesswork.

HACKATHON PRODUCT SUBMISSION

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01 · Problem Statement

Manual Work Is Quietly

Ruining the Company

Every business runs on some mix of process and improvisation. The improvised part — the manual part — rarely shows up on a dashboard.

Hidden in plain sight

Manual work is scattered across websites, social channels, inboxes, and spreadsheets — invisible until someone audits it.

Tool-first thinking

Teams reach for automation tools before they understand which processes are actually costing them time.

Generic AI noise

Lead scrapers, chatbots, and AI wrappers add more noise to a business — not a diagnosis of what's broken.

No clear starting point

Without evidence, “what to automate first” becomes a guess instead of a decision.

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02 · Solution Overview

Diagnose Before You Automate

Northline starts by understanding how work enters a business, then moves through a single evidence-based pipeline to a concrete starting point.

1

Business

Context

2

Research

3

Manual-Work

Detection

4

Prioritization

5

Comparable

Businesses

6

Automation

Starting Point

Input is flexible by design — a website, a social profile, a CSV or data file, or simply a description of how the business works.

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03 · Target Users

Built for Teams Without

an Ops Department

Anyone who suspects manual work is costing them time, but has no systematic way to see where — or what to fix first.

Small & Growing Businesses

Owners who feel manual work slowing them down but lack the data to prove or prioritize it.

Service-Based Businesses

Clinics, agencies, real estate teams, and other client-facing operations with heavy manual touchpoints.

Consultants & Agencies

Operations and automation consultants who need a fast, evidence-based starting point for client audits.

Internal Ops & Growth Teams

Teams inside larger companies prioritizing where automation investment will pay off first.

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04 · Product Features

From Snapshot to Actionable Report

Operations Snapshot

Analyzes a website, social profile, CSV, or plain description to surface likely manual processes.

Full Report & Download

Expands the snapshot into a complete report, downloadable and eventually sent by email.

Channel-Specific Observations

Surfaces how manual work shows up differently across each channel a business operates in.

Similar-Company Research

Finds real operating businesses further along operationally — not blogs or listicles.

PIN-Protected Admin Research

A separate workflow for finding businesses with public automation gaps and drafting outreach.

Evidence-Based Contacts

Never invents contact info — unverified decision-maker emails are clearly flagged as unavailable.

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05 · Technical Architecture

Built on a Deterministic,

Evidence-First Backend

Python / FastAPI backend, SQLite persistence, and a static application UI. Filtering, scoring, and validation are rule-based — AI is layered in only where interpretation is needed.

The current UI is served from the FastAPI backend/static app. An earlier Next.js dashboard still exists in the repository.

FastAPI Static App (UI)

FastAPI Backend (Python)

SQLite

Persistence

Search Providers

DuckDuckGo · Tavily · Serper · Brave

HTML Research

Public page analysis

OpenAI

Interpretation · drafting

SMTP

Report · outreach email

Public visitor workflow

Runs on search + deterministic filtering, scoring, and validation — it does not depend on OpenAI, so it stays fast for every visitor.

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06 · AI Technologies Used

AI Where It Adds Judgment

— Not Everywhere

Northline treats AI as one layer in a larger evidence pipeline — used for interpretation and drafting, never as a substitute for verification.

OpenAI-Assisted Interpretation

Turns raw research findings into a readable operations snapshot and full report narrative.

Deterministic Filtering & Scoring

Gap detection, contact validation, and opportunity scoring run on rules — not model guesses.

Multi-Provider Search

DuckDuckGo, Tavily, Serper, and Brave combine to gather public evidence before any AI step runs.

No AI on the Critical Path

The public visitor workflow stays fast because it never has to wait on an OpenAI call.

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07 · Impact & Value Proposition

Why It Matters

Northline turns “we should probably automate something” into a defensible, evidence-backed decision.

Evidence Over Hallucination

Every finding traces back to public, verifiable information — not model speculation.

Compliance & Human Responsibility

Outreach is AI-assisted and human-approved, never sent on invented contact data.

A Faster Entry Point

Get an operations snapshot before committing to a full audit or a new tool purchase.

Prioritization, Not Just Ideas

Surfaces what to automate first, backed by comparable businesses further along.

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08 · Future Roadmap

What's Next

Northline is a working product, not a finished one. The roadmap focuses on finishing what's started before adding scope.

NEAR-TERM

Finish Report Email

Complete and harden the visitor report email experience end-to-end, including SMTP delivery.

MID-TERM

Deepen Research Coverage

Expand the admin research workflow and broaden comparable-business discovery and scoring.

LONG-TERM

Consolidate the Product UI

Standardize on the FastAPI application as the product surface and retire the legacy Next.js dashboard.

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Diagnose First.

Automate With Evidence.

Northline is a practical, evidence-first operations intelligence tool — not a fully autonomous automation platform, not a mass cold-email system, and not a generic AI wrapper.

NORTHLINE · OPERATIONS INTELLIGENCE, BUILT FOR ACTION