Built inside a team that works the phones.

DialBreeze grew out of the Milner Team's real estate operation in Cape Coral, Florida. The people building the product also use its calling engine in their own work.

That origin shaped a specific product: an operator in the browser, their own calling account, the lead context beside the call controls, and a useful record afterward. We wanted the software to handle the repetitive mechanics without replacing the person having the conversation.

The product is now available to real estate and insurance teams that want that same separation. It is not a source of leads or a promise of appointments. The calling list, the operator's work and the follow-through still determine what happens after a dial.

The published operational snapshot

37,411dials placed
17,645recordings
9,367AI summaries
35appointments set

Our own Milner Team operation. Aggregate, anonymized. Last 90 days, as of 2026-09-26. Separate activity counts, not a joined sales funnel or a forecast for your team. How we count.

Separately reported rates: last 30 days

17.8% person-connect
Completed human-answer attempts divided by call attempts in the reported 30-day cohort.
26.7% voicemail
Voicemail outcomes divided by dials in the reported 30-day cohort.
78% AI coverage of connects
Human connects with a summary and opportunity flag divided by human connects in the reported 30-day cohort.

These owner-supplied rates are reported separately from the output totals. The published extract does not establish a one-to-one join between those measures. Do not apply these rates to the 90-day counts or reconstruct a funnel from them. Our own operation, aggregate and anonymized, as of 2026-09-26.

Inventory at the snapshot, not period results

15,694 leads in the system all-time; 33 active lists as of 2026-09-26. These are inventory measures, not leads acquired or lists created in the last 90 days.

What these numbers measure.

The snapshot is dated September 26, 2026 and describes our own operation, in aggregate and without identifying lead information. The 90-day activity counts cover dials, recordings, AI summaries and appointments set. The 30-day rates describe a separate, shorter reporting window. Lead and list totals describe the inventory in the system, not new leads or lists generated during either window.

A dial is an attempt, not a unique person reached. The same lead can receive more than one eligible attempt. A recording is an audio record, not proof that a qualified conversation occurred. An AI summary is a processing output, not an appointment. An appointment set is not an appointment held, a signed agreement or a closed transaction.

The person-connect rate is reported against attempts in its 30-day cohort. The voicemail rate is reported against dials in that cohort. AI coverage of connects uses human connects as its denominator, with a summary and opportunity flag as the reported qualifying output. These denominator labels matter more than a large number printed without context.

What the extract does not establish.

The published counts and rates are separate measures. The extract does not provide the matched call-level records needed to turn every recording and summary into a single conversion funnel. It also does not establish that all processing outputs were created on the same date as their underlying call. Applying the 30-day percentages to the 90-day counts would mix cohorts and produce an unsupported result.

For that reason, we do not infer an end-to-end conversion rate, average customer result or return on investment from this snapshot. It is evidence of the workload in our own operation. It is not a controlled comparison, a multi-customer benchmark or a forecast for another team with a different list, market, operator or calling policy.

The benchmark article owns the published dataset and its interpretation. The measurement guide explains how to define your own cohort and record a useful baseline without copying our results into your plan.

What the product views show.

The operator screenshots show captured interface states with test data and masked identifying details. They help you inspect where the list, lead context, call controls, outcomes and follow-up task sit. They are not customer testimonials or evidence of a live prospect's results.

A screenshot is not a substitute for inspecting a result. During evaluation, ask to review a permitted recording and its actual transcript, score and summary together. Compare the source and output, including any names, dates or next-step suggestions that need correction. That is the useful test of the after-call workflow.

Why the human stays on the call.

The operator asks the questions, listens, handles uncertainty and agrees the next step. After-call AI can help turn a recording into something easier to review, but it does not decide what a person intended with certainty. It can miss words, confuse details or suggest a follow-up that needs correction.

We treat the transcript, score and summary as different review aids. The transcript is an attempt to capture the words. The score is a structured signal. The summary is a compact handoff. None of them replaces the operator's responsibility to record an opt-out, confirm an appointment or check a material commitment against the audio.

How we charge, and who helps.

We sell a monthly software subscription: Solo is $49 per operator seat, Team is $149 for three seats, and Studio is $399, with the operator setup sized with you at onboarding. The calling toolkit and after-call AI are included in every plan. Your own Telnyx account bills the carrier services separately; we do not resell those minutes or charge per dial.

Billing is processed through the parent team's Stripe account, under the business name MIRA. It is the same team that builds DialBreeze. Stripe sends your receipts; contact brayden@themilnerteamfl.com for support or subscription changes.

Our team provisions accounts and emails access instructions when they are ready. Same-business-day provisioning is a target rather than a guaranteed delivery time. We distinguish a received request, a successful payment and a ready account because they are different operating states, not interchangeable messages on a website.

Evaluate the workflow before paying.

Your 14-day trial runs on a Telnyx sandbox with test numbers; nothing reaches a real person. A human provisions the environment. The 14 days start when it is ready and we email you. No credit card is required. On conversion, you connect your own Telnyx account and real calling lists.

We target same-business-day provisioning. This is a target, not a guaranteed access time. Your access and connection instructions arrive by email when the account is ready.

Use the evaluation to inspect your operator's daily work: list preparation, audio setup, the connected-call screen, a saved outcome and the after-call record. Bring your actual questions about importing data, handing work back to your CRM and supporting a teammate. A sandbox cannot establish the performance of a real prospecting campaign, but it can help you decide whether the workflow fits.

Operator workflow walkthrough
Captured test interface: choose a calling list.
1 of 4 · Prepare the list. Captured interface with test data; identifying details masked.