Avoma helps reps submit confident forecasts using AI-generated deal scores, forecast risks, and conversation intelligence, while giving managers the evidence to validate every commit.





CRM data goes stale between reviews

No visibility into pipeline movement

Forecasts built on rep confidence

No consistent way to define commit
AI-powered deal health scores help sales teams improve forecast accuracy by analyzing conversation intelligence, CRM activity, buyer engagement, and pipeline changes. AI-generated Risk Scores, Qualification Scores, and Forecast Risks show at the deal level inside the submission table, so reps make more defensible commit decisions and managers catch underqualified deals before they reach the final number.

The Pipeline Walk compares your pipeline at the start and end of a period, showing historical and current deal values side by side. A color-coded Pipeline Trend chart shows deal distribution and total value across stages so pipeline reviews start with data.

The Forecast Overview consolidates key pipeline metrics including, target, closed won, commit, open deals, and others, directly into the submission screen. A guided workflow walks reps through Commit, Best Case, Pipeline, and Not Forecasted with per-category deal counts.
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The Target and Pipeline Overview shows percentage of quota attainment alongside open pipeline and gap coverage. Targets are set at team level, member level, or both, with roll-up computed when a team-level target is not explicitly set.

Pipeline, Best Case, Commit, and Closed Won categories roll up by rep and manager into a structured revenue forecasting view. Custom forecast categories map to any CRM property so definitions reflect how your business operates across segments and product lines.

Link Avoma to Salesforce or HubSpot. Deal data, stage history, close dates, and custom fields sync across so the forecast dashboard reflects current pipeline status from day one.
After meetings, Avoma writes notes, next steps, and activity back to your CRM and scores the deal against conversation signals and buyer engagement. At-risk opportunities are flagged before they show up as misses in the forecast.
Managers check the forecast dashboard to review pipeline health, validate rep commits against deal evidence, and roll up to leadership. This is where revenue intelligence connects conversation data to pipeline reality, giving a forecast built on what is happening in deals, not what reps reported.
