AI-Powered Resident Support for a Northeast US Fixed Wireless MDU Broadband Provider

Client Profile

A venture-backed fixed wireless broadband provider delivering affordable, high-speed internet connectivity to multi-dwelling units (MDUs) — apartment buildings, housing developments, and public housing communities — across the US Northeast. Founded with a mission to close the digital divide, the company provides connectivity at significantly lower price points than incumbent cable and fiber providers.

The company’s technology is fundamentally different from traditional ISPs. Rather than running fiber or cable to each individual unit, they deploy proprietary wireless access points throughout each building, creating a property-wide wireless network that residents connect to instantly — no in-unit hardware installation, no truck rolls, no waiting. A new resident can sign up and be online within minutes.

The company operates with a lean team of approximately 30 employees, has raised over $15 million in venture funding, and is actively expanding from its Northeast base into additional states including California, Georgia, Ohio, Tennessee, Texas, and Wisconsin. Their customer base includes both private market-rate buildings (through revenue-share partnerships with property managers) and public housing authorities (providing subsidised or free connectivity under federal programmes).

Industry: Telecommunications (Fixed Wireless / MDU) · Region: United States — Northeast (New York, New Jersey, Pennsylvania) · Products Used: VoiceFlow AgentIQ (Multi-Channel) · WhatsApp Integration · Network API Connector

The Challenge

The company’s technology model was built for scale — software-defined, zero-touch installations, remote network management. But their customer support model was still human-dependent, and it was becoming the constraint on growth.

Rapid geographic expansion was outpacing support capacity. Every new building deployment brought a new cohort of residents needing onboarding support, troubleshooting, and account management. With the company expanding into multiple new states simultaneously, the support team couldn’t hire and train fast enough to keep pace.

The customer base required exceptional sensitivity. A significant portion of subscribers were in affordable housing communities — residents on tight budgets who had previously been unable to afford broadband. Many were first-time internet users, elderly residents, or non-English speakers. Support interactions required patience, clear communication, and cultural awareness that couldn’t be reliably achieved by a stretched team handling high volumes.

Property manager relationships depended on resident satisfaction. The company’s commercial model is built on partnerships with property managers and building owners. If residents are unhappy with their connectivity — or more critically, unhappy with the support experience — the property manager hears about it, and the contract is at risk. In public housing deployments, resident satisfaction is reported to housing authorities, making it directly tied to contract compliance.

Subsidy programme queries were complex and time-consuming. Many residents qualified for the Affordable Connectivity Program (ACP) or similar federal subsidies that covered part or all of their monthly cost. Explaining eligibility, guiding residents through the application process, and troubleshooting subsidy-related billing issues consumed disproportionate agent time.

The zero-touch model meant support issues were almost always software-resolvable. Because the network is software-defined — no customer premises equipment to reboot, no physical connections to check — over 99% of issues could be diagnosed and resolved remotely. But the existing support process still required a human to perform the diagnosis, even when the resolution was a straightforward remote configuration change.

Our Approach

We deployed a multi-channel AI support agent designed for the unique characteristics of this provider’s model and customer base. The agent integrates directly with the company’s software-defined network management platform, enabling real-time diagnostics and automated resolution for the vast majority of issues — matching the zero-touch philosophy of the network itself with zero-touch support.

What We Built

1. Resident Onboarding Agent

For new residents connecting for the first time, the agent provides:

• Step-by-step activation guidance — residents are walked through the simple connection process (connect to the building network, register, start browsing) with clear, jargon-free instructions adapted to their device type and technical confidence level.
• Device configuration support — helping residents connect laptops, smartphones, smart TVs, gaming consoles, and IoT devices. The agent adapts its guidance based on the device and operating system.
• Subsidy programme assistance — for residents eligible for federal broadband subsidies, the agent explains the programme, checks eligibility, and guides them through the application process. For residents already enrolled, it handles subsidy-related billing queries.
• Multilingual support — available in English and Spanish, with architecture designed for additional languages as the company expands into new markets.

2. Connectivity Troubleshooting Agent

Integrated with the provider’s network management platform for real-time diagnostics:

• Automated fault detection — when a resident reports an issue, the agent immediately queries the network for that building and unit, checking signal levels, connection status, and any known outages. In many cases, the issue is identified and resolved before the resident finishes describing the problem.
• Remote remediation — for issues within the software-defined network (authentication errors, configuration drift, access point issues), the agent can trigger automated fixes directly, without human intervention.
• Building-level awareness — if multiple residents in the same building are experiencing issues, the agent recognises the pattern, identifies it as a building-level rather than individual problem, and escalates to the network operations team while informing affected residents of the known issue and estimated resolution.
• ISP-side vs. resident-side diagnosis — clearly distinguishing between network issues (the provider’s responsibility) and device issues (the resident’s responsibility), with helpful guidance for both.

3. Property Manager Communication Channel

A dedicated WhatsApp-based communication channel for building managers and property operators:

• Outage notifications — proactive alerts when the network in their building is experiencing issues, with estimated resolution times.
• Occupancy updates — when new residents sign up or existing residents move out, the property manager receives a summary.
• Satisfaction reporting — periodic summaries of resident support interactions, highlighting any trends or recurring issues that might require attention.
• Bulk onboarding support — for new building deployments, coordinating the resident sign-up process and providing materials and guidance.

4. Billing and Account Management

• Plan changes — processing upgrades, downgrades, and add-ons.
• Payment processing — handling payments, updating payment methods, and managing billing queries.
• Subsidy reconciliation — managing the interaction between the resident’s subscription cost and their federal subsidy, explaining any balance due and processing payments for the difference.

Projected Impact

Metric	Target
First-line resolution rate	85%+ without human intervention
Support availability	24/7 (critical for residents without alternative connectivity)
Onboarding completion rate	Significant improvement through guided self-service
Property manager satisfaction	Improved through dedicated communication channel
Support cost per subscriber	Scalable — doesn’t increase proportionally with subscriber growth
Geographic expansion support	New markets supported without proportional support hiring
Subsidy programme query handling	Automated guidance reducing per-interaction time

Why This Matters

This deployment demonstrates AI support at its most socially impactful. The company’s mission is to provide affordable broadband to communities that incumbent providers have underserved — and the AI support layer makes that mission economically sustainable at scale.

Without AI, the company faces an impossible trade-off: either hire enough agents to provide the patient, empathetic, multilingual support that their customer base deserves (destroying the unit economics that make affordable pricing possible), or keep the team lean and accept that support quality will degrade as they scale (undermining the property manager relationships that drive growth).

AI resolves this trade-off. It delivers 24/7, multilingual, infinitely patient support at a cost that doesn’t scale linearly with subscribers. And by integrating directly with the software-defined network, it can resolve most issues faster than any human agent could — because it doesn’t need to open a separate diagnostic tool, wait for results, and interpret them. It does all of that in the time it takes the resident to say “my internet isn’t working.”