Commission disputes eating four hours a week. A controller two weeks behind on MRR. Reps gaming leaderboards you can't verify. Network expansion decisions stuck in a queue. Every fiber ISP has these problems. Milestone Core is the first platform built to eliminate them — AI integrated into every revenue workflow, not stapled on as a chatbot.
Real subscriber data. Real sales leaderboard. Real penetration by market. Every number you see is live production data — not a demo environment, not sample data. This is Milestone Core running daily for a real ISP.
The average fiber ISP stitches together five to seven disconnected systems — and none of them talk to each other. A sale closes in your canvassing platform and never touches billing until a human copies it. A commission gets paid before anyone verifies the subscriber activated. MRR gets reported two weeks after month-end from a spreadsheet your controller built and is afraid to touch. You've normalized all of it. You shouldn't have to.
Every ISP executive who reviews Milestone Core lands on the same three things. Not the flashiest features — the ones that fix problems you've been bleeding money on for years.
Your leaderboard shows what reps reported. Milestone Core shows what actually activated in your billing system. Every submission is cross-checked against real billing status — duplicates, stuck workflows, and non-installs are flagged separately with one-click drill-down into exclusion reasons. You stop paying commissions on sales that don't exist.
MRR, ARR, ARPU, CAC, LTV, LTV:CAC ratio, payback period, monthly churn, gross margin, commission-to-revenue ratio — live, on demand, from production data. Not a spreadsheet. Not an estimate. The actual numbers, the moment you need them — including a PE Data Room tab your investors can trust.
Draw a polygon on a map. The AI reads satellite imagery, road networks, building density, and alley access — the way a human network engineer would — and returns a complete fiber route design with route miles, passings, cost per passing, projected take rate, MRR, and breakeven in months. Refine it in plain English.
Every screenshot on this page is from a live ISP running Milestone Core daily. Real subscribers. Real commissions. Real network expansion decisions. This is what your team would see from day one.
The Territory Intelligence map color-codes every zone your team has ever knocked — goldmine streets converting above 15%, dead zones below 3% where knocks are wasted, warm go-backs ready to be worked, and streets that belonged to departed reps sitting unclaimed.
Your managers stop assigning territory by ZIP code and gut feel. Your reps stop burning time on streets that don't convert. The data that used to take six months to accumulate is visible on day one.
Draw a polygon around a neighborhood. The AI reads satellite imagery, identifies poles, alleys, road networks, and building orientation — exactly the way a human engineer would — and designs the fiber route. The right panel returns immediately: route miles, passings, cost per passing, projected take rate, total cost, MRR, and breakeven in months.
Then refine it conversationally. "Avoid the railroad crossing." "Prioritize the apartment complex." "Reduce trunk count." The design updates in place. Every expansion decision that was sitting in a queue compresses into one working session.
MRR, ARR, ARPU, CAC, LTV, LTV:CAC ratio, payback period, monthly churn, gross margin, commission-to-revenue ratio, segment P&L, P&L trends, valuation model, and a PE Data Room tab — all computed from production data on demand.
13 months of P&L data. Revenue by segment. Commission reconciliation. Cohort retention. Blended valuation estimates. Everything your investors ask for in one place, updated live, without your controller spending two days assembling it from three different systems.
The AI Briefing card generates automatically for every customer — status snapshot, full service history, specific upsell opportunities with recommended positioning, AI-written talking points for the interaction, and a Watch Out section flagging anything the rep needs to know before engaging.
A new CSR picks up any customer conversation without reading ticket history. A sales rep walking into a commercial account meeting has full context before opening the door. Upsell opportunities are specific — product, positioning, and dollar amount — not generic "consider upgrading" suggestions.
Not a roadmap. Not a beta. Every module below is in daily production use by sales reps, CSRs, technicians, and management — running on real subscriber data right now.
Real-time visibility into every stage of the sales motion — from first knock through activation. Billing-verified sales counting. Automated commission calculation with clawback tracking, advances, and payroll export. Referral tracking that auto-applies credit on activation. Win-back surfacing by neighborhood.
Form submissions go to a staging area for CSR review before writing to billing — no bad data contaminating your system from day one. Capacity-aware tech scheduling. Commercial CRM with commission exposure and live install status. Centralized SMS inbox with AI conversation summarization.
Per-building on-net/off-net classification from a live spatial layer. AI-powered expansion planning with full financial modeling and conversational refinement. Competitor intelligence with AI-scored coverage maps and per-account recommended sales posture. The demo that closes the deal.
Live unit economics your PE sponsor can trust — MRR, ARR, ARPU, CAC, LTV, LTV:CAC, payback period, cohort churn, segment P&L, and a valuation model built from production data. CPE inventory with FSAN-level tracking and a 30/60/90 day demand forecast tied to actual sales pipeline.
Not a chatbot. Not a co-pilot that summarizes emails. AI running inside revenue workflows where it produces measurable outcomes — network design, sales intelligence, customer retention, and financial modeling.
Draw a polygon. AI reads satellite imagery and designs fiber routes by visually inspecting alleys, poles, and building orientation. Full cost model generated automatically.
After Auto-Build, refine in plain English. "Avoid the railroad crossing." "Prioritize the apartment complex." The AI updates the design and recalculates financials in place.
AI-generated door openers tailored to each specific address — based on neighborhood data, competitor presence, and knock history. Reps see the pitch before they knock.
Per-account recommended approach when pitching against incumbents — generated from coverage data and local competitor intelligence. Different pitch, different outcome.
Status snapshot, service history, upsell opportunities, talking points, and watch-out flags — generated per customer before every interaction. New CSRs pick up any conversation in seconds.
Long customer SMS threads summarized instantly for agent context-switching. No more reading 40 messages to understand where a conversation stands.