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Category
Business Management
Built by
Beam.ai
Summarize Specific call analytics, read the scores and talk-time metrics, and write coaching notes into your CRM, automating sales-enablement work like flagging deals that need a manager's attention.
Call Scoring
Specific rates each recorded sales call against defined criteria. When a new call is analyzed, a Beam agent reads the score and supporting metrics, applies a customer-approved rule tied to deal stage, and writes a short note onto the linked opportunity. Calls that score well move on quietly. Calls that fall below the bar on a live deal alert the rep's manager. Where the score conflicts with obvious context, such as a strong call the model rated low, the agent flags it for a human reviewer rather than logging a verdict that could misguide coaching.
Talk-Time Metrics
Specific measures talk-to-listen ratios and other conversation signals. On each processed call, the agent reads these figures, checks them against an approved coaching rule, and updates the rep's running record. Ratios drifting outside the healthy range over several calls notify the team lead for a coaching conversation. A single odd call, which could be a demo or a group session that skews the numbers, is set aside for a person rather than counted against the rep, so trends reflect real habits instead of one-off outliers a manager would immediately discount.
Deal Risk Flags
Signals in a call can hint that a deal is slipping. A Beam agent reads Specific's analysis for open opportunities, applies an approved rule on risk indicators, and updates the deal record with a flag and reason. High-risk deals over a certain value are escalated to the account owner and their manager. Cases where signals are mixed, or the deal context explains the pattern, are routed to a human instead of auto-flagged, so pipeline reviews focus on real risk and reps are not chased over noise the model misread.







