A strategic operating system for ISPN's next growth phase
The U.S. is in the middle of the largest broadband infrastructure investment in its history. BEAD alone has allocated $42.45B across 56 states and territories. Hundreds of new ISPs are being created simultaneously — each needing operational infrastructure they don't have. Each needing what ISPN sells.
This platform transforms ISPN from a company that waits for partnership opportunities into one that manufactures them — identifying, scoring, and engaging prospects before they know they need managed services.
BEAD construction runs 2026–2030. Most subgrants are being awarded now through 2027. Subscriber bases grow materially in 2026–2027. The operational pain hits 9–14 months after construction starts — meaning the decision to outsource managed services happens in 2027–2028 for early movers. A competitor who starts building something similar in 2027 faces a two-year intelligence deficit they cannot close by hiring more salespeople.
The platform is not a prospecting tool. It's an intelligence system that spans every ISPN department — from Sales to the Tech Center to Finance to HR.
Tracks the entire broadband funding ecosystem — BEAD, ReConnect, state programs, private equity — identifying every ISP receiving capital to build.
Assembles complete organizational profiles from public sources: ownership, subscriber estimates, leadership, technology footprint, verified contacts.
The core engine. Six-factor scoring model predicts when each ISP will cross the threshold where internal operations fail. Details below.
Tracks competitor partnerships, displacement signals, win/loss patterns. Produces a competitive card per prospect with white space and positioning.
Creates contextualized, multi-channel outreach sequences — triggered by signal events, not calendar schedules. Five channels optimized per prospect.
Applies the same methodology to existing partners. Predicts churn signals 90–180 days out. Would have detected LigTel's trajectory months before termination.
Feeds prospect pipeline into Tech Center WCS forecasting: projected volumes, rural contact patterns (15–20% higher), training gaps, hiring triggers.
Estimates contract value, cost-to-serve, and projected margin per prospect. Tracks portfolio concentration risk across partners, tech types, and geographies.
Positions ISPN as compliance infrastructure: "We don't just answer calls — we generate the BEAD compliance reports proving proper grant usage."
Four feedback loops — outreach, partner data, competitive intel, market knowledge — compound ISPN's intelligence advantage every quarter.
Every funded ISP follows a predictable arc: win award → build → subscribers connect → operations strain → quality degrades → CEO seeks help. The model predicts where each ISP sits on this arc using six factors.
| Factor | Weight | What It Measures | Key Signal |
|---|---|---|---|
| Growth Velocity Index | 20 pts | New locations funded ÷ current subscribers | GVI > 1.0 = doubling subscriber base |
| Organizational Maturity | 20 pts | Company age, leadership depth, tech complexity, operational history | OMS 1–2 + high GVI = highest outsource probability |
| Technology Transition | 15 pts | Complexity of tech change (same-tech 1x → greenfield multi-tech 3x) | FWA-to-fiber = parallel platforms, 2x strain |
| Workforce Strain Index | 20 pts | Job postings for helpdesk/NOC/ops roles via Indeed, LinkedIn | Open 30+ days = can't find local talent |
| Deployment Timeline | 15 pts | BEAD deadlines, investor timelines, state reporting dates | Early-award states = maximum time pressure |
| Service Quality Signals | 10 pts | FCC complaints, BBB, Google reviews, Downdetector | Rising complaints = past prediction, in active crisis |
Five autonomous AI agents coordinated by an n8n orchestration layer. Each agent has a defined mission, clear triggers, and measurable outputs. A human reviews all outreach before it reaches Sales — this is intelligence augmentation, not automation of the relationship.
Monitors funding sources, detects new ISPs and awards
Scores prospects, runs strain model, estimates Decision Month
Generates engagement plans, tailors positioning per prospect
Watches existing partners for churn signals and expansion triggers
Feeds pipeline demand into Tech Center capacity and hiring models
| Scenario | New Partners/Year | Avg. Contract Value | Incremental Annual Revenue |
|---|---|---|---|
| Conservative | 3–5 | $150K–$300K | $450K–$1.5M |
| Base Case | 5–8 | $200K–$400K | $1M–$3.2M |
| Aggressive | 8–12 | $250K–$500K | $2M–$6M |
Tracks BEAD applications and state filings to identify ISPs months before awards — years before they look for partners.
Models when each ISP crosses the threshold where internal resources fail — not just who, but when.
Same strain signals monitor existing ISPN partners. Early warning 90–180 days before formal termination requests.
Every outreach, conversion, and loss feeds back into the model. Intelligence deficit for late starters is permanent.
Not a Sales silo. Feeds capacity planning to the Tech Center, revenue forecasts to Finance, competitive intel to Leadership, and hiring signals to HR.
Every capability described uses technology available today. Every data source is public. Every cost estimate is based on actual tool pricing. BEAD is creating hundreds of ISPs that will need managed services between 2026 and 2028. This platform gives ISPN the ability to identify them first, engage them at the right moment, and convert them before competitors know they exist. The only question is whether ISPN builds this before someone else does.
Signal flow from funding detection through AI agent chain to engagement and capacity planning.
flowchart LR
subgraph SOURCES["📡 DATA SOURCES"]
direction TB
F1["BEAD Awards\n& State Filings"]
F2["FCC Data\n& Public Records"]
F3["Job Boards\n& Review Sites"]
end
subgraph SCOUT["🔍 SCOUT AGENT"]
S1["Detect New ISPs\n& Funding Events"]
end
subgraph ANALYST["📊 ANALYST AGENT"]
direction TB
A1["Six-Factor\nStrain Scoring"]
A2["Decision Month\nEstimation"]
end
subgraph STRATEGIST["🎯 STRATEGIST"]
ST1["Engagement Plan\n& Positioning"]
end
subgraph MONITOR["📡 MONITOR"]
M1["Partner Health\n& Churn Signals"]
end
subgraph PLANNER["⚙️ PLANNER"]
P1["Capacity Forecast\n& Hiring Triggers"]
end
subgraph OUTPUTS["✅ OUTPUTS"]
direction TB
O1["🤝 Sales\nEngagement"]
O2["📋 Tech Center\nReadiness"]
O3["💰 Finance\nForecasts"]
end
F1 --> S1
F2 --> S1
F3 --> S1
S1 -->|"new signal"| A1
A1 --> A2
A2 -->|"score ≥ 40"| ST1
ST1 --> O1
O1 -->|"win/loss data"| M1
M1 -->|"pipeline changes"| P1
P1 --> O2
P1 --> O3
M1 -->|"rescore"| A1
style SOURCES fill:#1B2A4A,stroke:#2E75B6,color:#fff
style SCOUT fill:#FFF8E1,stroke:#F0883E,color:#1B2A4A
style ANALYST fill:#f0f4f8,stroke:#2E75B6,color:#1B2A4A
style STRATEGIST fill:#E8F8EE,stroke:#27AE60,color:#1B2A4A
style MONITOR fill:#f8f0ff,stroke:#7B68EE,color:#1B2A4A
style PLANNER fill:#FFF0E0,stroke:#F0883E,color:#1B2A4A
style OUTPUTS fill:#D5E8F0,stroke:#2E75B6,color:#1B2A4A