Follow the call. Show the working.

The diagnostic is $4,500 as a fixed fee and takes two to three weeks, and the whole fee is credited against your first year of the Capacity subscription. Capacity runs from $900 a month for three to five CSRs and $1,500 for six to ten. Rollout, where we implement the prescription rather than hand it over, is $12,000 and is never a condition of anything before it.

Five exports: call detail records from your phone system, bookings and completed job values from your field-service software, a CSR roster, a shift schedule, and separations over the period. We also need two figures from you: contribution margin and what you pay whoever recruits and coaches CSRs. We send an export checklist written for your specific systems.

Seven data quality gates run before anything is computed. If one fails you receive a readiness report instead of a figure, telling you exactly what to start capturing. There is no charge for that answer and no partial result is published.

No. DialWorth is measurement. The output is a quantified figure for forgone booked revenue with a ranked list of remediations. We do not sell scripts, coaching or training programmes.

Monthly averages can conceal staffing gaps. Forgone capacity does not occur on average, it occurs in half-hour intervals where offered load exceeds staffing, and a monthly average conceals exactly those intervals. DialWorth works at interval resolution and fits caller patience from your own abandonment data.

Home-service companies between roughly $2M and $15M in revenue running three to ten customer service reps on inbound calls: HVAC, plumbing, electrical, restoration, pest and adjacent trades. We work with operators across the United States, in every time zone.

Two to three weeks from receiving usable data. Most of that is analysis rather than your time; the data pull typically takes about an hour of someone's day.

No. Every headline figure ships as a range with a most-likely value, because a point estimate implies a precision the underlying data does not support. You also receive a sensitivity analysis showing which assumptions drive the spread.

It may be a useful option. You will still have to size it. An AI agent is capacity. Buying capacity without knowing which half-hours are actually short, how much demand arrives in them, or what a recovered call is worth is how operators end up paying a monthly fee to cover intervals that were never understaffed. Containment is also below 100%, so an agent changes the shape of the load rather than removing it. We price an automated hour and a loaded CSR hour on the same axis, which turns the question from AI-or-people into how many of which, in which intervals.

That is a question our diagnostic examines. Counting missed calls is not the same as pricing them, and neither is the same as knowing which were preventable. We model each half-hour interval with queueing mathematics that accounts for callers hanging up, using caller patience fitted from your own abandonment data rather than an industry constant, and return the minimum-cost shift changes that would have recovered them, with the payback in your own loaded hourly rate. The recoverable count is bounded by the calls your export shows were actually abandoned; we never claim to save a call that did not happen.