7Lift.ai built and handed off an automated call scoring and coaching system for a multi-location service company with a centralized call center. Every qualifying inbound call is scored against a 22-point sales rubric built from the client's own sales methodology — with individual agent scorecards, daily manager roll-ups, and weekly and monthly executive summaries delivered without manual review.
Before the system went live, call quality review was a sampling exercise. A manager could listen to a handful of calls a week — a small fraction of the volume reaching a centralized call center serving multiple locations. Coaching depended on which calls happened to get pulled, and leadership had no complete picture of sales-call quality across agents and shifts.
The client needed consistent review of every call, applied to the same standard, without adding manual auditing labor.
An automated call scoring and coaching pipeline that reviews every qualifying inbound call, every night, and delivers reporting before the next shift.
Every qualifying call is scored against a 22-point rubric built from the client's own sales methodology — not a generic template. The same standard is applied to every call, every night.
Before scoring, the system classifies each call, separating genuine sales inquiries from account questions, payments, transfers, and post-transaction administration.
Each agent receives an individual scorecard, so coaching conversations are grounded in that agent's actual calls rather than anecdotes or sampled impressions.
Managers receive daily roll-up reports before the next shift begins — surfacing coaching moments while the calls are still fresh.
Weekly and monthly executive summaries give leadership a consistent view of call quality trends across the entire operation.
7Lift.ai builds systems like this to be owned by the client. All infrastructure, credentials, and reporting transferred to the customer at handoff.
From sampling to full coverage: Review went from a handful of calls a week to every qualifying inbound call, every night.
Consistent standards: The same 22-point rubric is applied to each call, so agents are coached against one standard instead of a reviewer's impression.
Missed opportunities surfaced: Scoring every call reveals the specific, repeatable moments where a sale was available and not asked for — a missed close, an unaddressed objection, a booking never confirmed.
Manual audit labor eliminated: Consistent, automated review removes the labor of manual call auditing and shortens the time it takes to bring a new agent to standard.
One of the more useful findings was not about the graded calls at all. Because the system classifies each call before scoring it, the client gained a measurement they had never had: on a representative day, roughly half of the calls reaching the sales line were not sales calls — existing customer account questions, payments, transfers, and post-transaction administration.
That classification data now supports two separate questions: why sales calls are not converting, and why so much non-sales volume is arriving on a sales number in the first place. The second question points directly at call routing, phone tree design, and self-service gaps that were costing agent time on every shift.
The approach applies equally to sales centers and customer service centers. In both settings, the value comes from two directions:
Cost: Consistent, automated review eliminates the labor of manual call auditing and shortens new-agent ramp time.
Opportunity: Scoring every call surfaces the specific moments where revenue was available and not captured.
Any business with a call center — sales or service, single-site or multi-location — that currently reviews calls by sampling can apply this pattern.
Schedule a strategy call to discuss whether automated call scoring and coaching fits your sales or customer service operation.
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