Proven client case study

Outbound Voice-AI that actually works: $1M+ created for client in 171 days

How one always-on Voice AI intake agent turned 137,793 hand-raisers into 1,279 qualified calls, 192 new cases, and over $1,000,000 in fee revenue for a legal-focused call center.

Call sample

Hear the Voice AI in action

AI caller · live campaign

Our client is a call center who deals with law firms. Their mandate was simple: find people in the US who could benefit from legal services, have them request help, and then connect the serious ones straight to the intake team.

This page breaks down how a single Voice AI agent handled over half a million outbound calls on their behalf – and turned that effort into cases and revenue you can actually measure.

The snapshot

What actually happened when we turned the AI on

Behind the headline numbers are real leads, real conversations, and a follow-up engine that didn't miss a beat.

Qualified calls delivered

1,279

Warm, hand-raiser conversations sent straight to intake

Close rate on those calls

15%

Cases signed from calls the AI brought to the team

New cases opened

192

Government-benefit related cases opened from this campaign

Fee revenue generated

$1,000,000+

Total fees created for the client in this window

Pipeline workload vs. outcomes

The AI carried the heavy load — your team took the wins

The chart below isn't just vanity volume. It shows how much of the repetitive work the Voice AI absorbed so humans could focus on closing.

Leads requesting help137,793

People who requested help and opted in for calls

Outbound calls549,713

AI-driven follow-up workload handled end-to-end

Live transfers5,729

Warm handoffs into the client intake queue

Minutes handled266,433

Conversation time owned entirely by the Voice AI

Strategy call

Plug a Voice AI employee into your pipeline

Bring your real lead numbers. We will map this campaign onto your intake flow and show you exactly where an AI rep can take over the grind.

Plug an AI Employee Into My Business

The problem

Why traditional call floors couldn't keep up

If you run a law firm, call center, or any sales-driven operation, this will feel uncomfortably familiar.

Traditional human-only model

The reality of old-school call floors

  • XHuman reps are inconsistent. Some are killers, some are passengers, most are up and down. Scripts get butchered, leads get ignored, your calendar swings wildly.
  • XYou can't scale people 24/7. Nights, weekends, holidays, and time zones mean your pipeline doesn't stop — but your team does.
  • XFollow-up discipline breaks down. On paper you follow up multiple times. In reality, most leads get a couple of attempts then vanish into the CRM graveyard.
  • XCompliance is always on your mind. Opt-in, consent, recordings, complaints — so you play small and stay cautious.
  • XMost "voice AI" is just a demo. Cool tech, bad conversations, unhappy prospects, and no money.
Our Voice AI model

What we built instead

  • Behaves like your best closer on every single call. No bad days, no passengers, no script butchering — just the same high-intent conversation for every lead, every time.
  • Runs a 24/7 follow-up desk that never clocks out. Nights, weekends, holidays, and ugly time zones are covered automatically so hot leads never go cold in your queue.
  • Executes a fixed, multi-touch schedule without dropping leads. Every hand-raiser gets the full sequence with smart gaps — not two calls and a one-way trip to the CRM graveyard.
  • Stays compliant while only sending real cases to your team. It talks only to people who explicitly opted in, handles consent and recording notices the same way on every call, and transfers qualified prospects live to intake to sign.
  • Ships as a revenue campaign, not a shiny AI demo. It already runs on real lead volumes, sounds like a trained intake specialist, and gives you signed cases and $1M+ in fees to point at — not just a product tour.

Top of funnel

How we attract people who need legal help

The front end is intentionally simple: clear expectations, clear permission, and clean data.

We run online ads across multiple platforms pointing to a short, direct form. The copy explains the type of legal help available and clearly asks for permission to be called.

When someone fills it out, they opt in to receive phone calls about that issue. No tricks — just clear expectations and permission.

1High-intent ad click
2Short form with clear opt-in
3Lead lands in CRM ready for AI follow-up

Every record arrives tagged with source, timestamp, and consent.

The system

How the Voice AI turns leads into signed cases

From first opt-in to weekly optimization, here's how the engine runs behind the scenes.

STEP 01

Lead opts in for help

A person sees an ad, clicks through, and fills in a short form asking for help with a government benefit–related legal issue.

Their record hits the CRM with contact info, a timestamp, and explicit consent to receive calls so everything stays clean for legal and compliance.

STEP 02

AI takes over follow-up

The second the lead lands in the system, the Voice AI drops them into a pre-built follow-up schedule.

Each lead is given a fixed number of call attempts, spaced out with planned gaps and strong times of day to maximize answer and connection rates.

STEP 03

Qualifying like a senior intake specialist

When someone picks up, the AI confirms who they are, why they requested help, and walks through a structured series of questions.

It filters out non-cases and time-wasters while keeping real prospects engaged and ready for a deeper human conversation.

STEP 04

Live transfer at peak intent

When the AI identifies a strong opportunity, it gives a short handoff and connects them to the client’s intake queue.

Prospects arrive warm, pre-framed, and ready to talk about their situation and sign with the client.

STEP 05

Weekly tuning and optimization

The system is never set-and-forget. Each week we review calls, transcripts, and performance.

We tighten phrasing, scheduling, and routing logic – which is how the campaign produced a clean 15% close rate and over $1M in revenue.

Pipeline audit

Turn your lead graveyard into signed cases

If you are sitting on months of untouched or half-touched leads, this is where the real money hides. Let us walk you through what a Voice AI sweep would look like.

Audit My Pipeline For Hidden Revenue

The money

What it made for the client

This case study isn't about impressive call volumes. It's about predictable cases and revenue.

For this legal-focused client, one Voice AI agent delivered 1,279 qualified calls into the intake team's queue. They closed roughly 15% of those calls, opening 192 new cases and generating over $1,000,000 in fee revenue.

That's the kind of gain you feel directly in the P&L — and the type of campaign you can scale with confidence.

Campaign economics171 days

Qualified calls

1,279

Close rate

15%

New cases

192

Fee revenue

$1M+

Leads
Calls
Qualified
Cases
Revenue

One well-built Voice AI agent matched what a room full of callers struggled to do — with cleaner economics and better measurement.

Comparison

Why this beats a room full of humans

Same leads, same offer. Very different execution.

Traditional human-only model

  • Inconsistent effort across human reps and shifts.
  • Leads ignored or called only once before being forgotten.
  • Scripts drift, compliance becomes a constant worry.
  • Scaling means more headcount instead of better unit economics.

Our Voice AI model

  • Every new lead gets a planned sequence of follow-ups.
  • Script-perfect, compliant conversations on every single call.
  • Follow-up is executed 24/7 with no ego or fatigue.
  • Only qualified cases are passed to your team, ready to sign.

Compliance

Aggressive follow-up, built for regulators

From the first click to the last call, the system is designed to stay on the right side of consent and auditability.

  • People explicitly opt in to receive calls about their legal issue.
  • Consent, timestamp, and source are stored in the CRM for every record.
  • Opt-outs and do-not-call requests are respected instantly.
  • Recording notices are built into the script and honored consistently.
  • Calls are used solely to connect people with the legal help they requested.
lead_389201compliant

Consent

opt-in: phone

Source

Meta · gov benefits

Timestamp

2024-03-18 14:09:32

Recording

enabled

last call: 3m agostatus: in follow-up ladder

Run the numbers

See if this $1M playbook fits your business

We will plug in your lead flow, cost per acquisition, and close rates, and give you a straight answer on whether a Voice AI employee makes sense.

Walk Me Through This For My Business

Beyond law

Where this pattern plugs in next

Anywhere revenue depends on leads being called, qualified, and handed to humans, this system can become the backbone.

This case study lives in the law niche, but the pattern is the same for any serious business that lives and dies by intake and follow-up.

  • SaaS companies with demos and account executives.
  • High-ticket services with discovery or strategy calls.
  • Enterprise sales teams drowning in untouched inbound and outbound leads.
  • Any operation where intake, follow-up, and scheduling decide revenue.

If your revenue depends on leads being called, qualified, and handed to humans, one well-built Voice AI agent can become a predictable case or appointment machine — just like it did here with 1,279 qualified calls, 192 cases, and over $1M in revenue.

Next step

Want a similar Voice AI engine plugged into your pipeline?

We design agents around your intake rules, follow-up windows, and compliance constraints so you can scale without losing control.

Book a strategy call