Sales Enablement Copilot
Score every call, surface deal risk before forecast meetings, and write the follow-ups your reps skip.
The problem
Your top quartile of reps closes 3.4x more revenue than your bottom quartile. The skill gap is real, but it is also coachable — provided your sales managers can hear what is actually happening on calls. They cannot. Your VP Sales has 14 reports and listens to 6 calls a week. The other 1,000+ calls go uncoached.
Gartner's 2024 Future of Sales report finds that mid-market enterprises with AI-augmented sales coaching see win rates rise 21% and average deal size rise 14% over a 12-month period.[^1] The lever is not the AI — it is the coaching the AI makes possible.
Our approach
Call source: Zoom / Teams / Google Meet / Aircall / WhatsApp Business
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Audio ingest (Laravel webhook → S3)
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Transcription: AssemblyAI (default) | Whisper Large v3 (self-hosted)
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Diarization + speaker mapping (rep vs prospect)
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LLM analysis: Claude Sonnet 4.6
- call score (rubric-based)
- deal-risk signals
- next-best-action recommendation
- draft follow-up email
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CRM sync: Salesforce / HubSpot / Dynamics (custom objects)
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Manager dashboard (Filament + Livewire) + rep coaching feed
Who it is for
- A 40-rep B2B sales team at a Singaporean SaaS company where sales managers cannot scale call coaching beyond their top performers.
- An enterprise sales team in Japan with 6-month sales cycles and high-stakes deals that need forensic deal review at every stage.
- A 120-rep inside sales floor in Manila or Ho Chi Minh City handling outbound qualification calls in mixed languages.
Tech stack
- Transcription: AssemblyAI for English / mixed languages, Whisper Large v3 self-hosted for sensitive deployments, ElevenLabs for ultra-low-latency live coaching mode
- LLMs: Claude Sonnet 4.6 for call analysis and draft generation, GPT-4o for multimodal screen-share analysis
- Vector store: pgvector (call embeddings for semantic search), with hybrid retrieval for "find similar deals"
- CRM SDKs: Salesforce Apex + REST, HubSpot API v3, Dynamics 365 SDK
- Backend: Laravel 12 with queue workers; Livewire-powered manager dashboard
- Speech-to-text languages: English, Mandarin, Japanese, Korean, Cantonese, Bahasa Malaysia, Bahasa Indonesia, Vietnamese, Thai
Integration list
Salesforce Sales Cloud, HubSpot Sales Hub, Microsoft Dynamics 365 Sales, Pipedrive, Zoho CRM, Outreach, Salesloft, Apollo, Zoom, Microsoft Teams, Google Meet, Aircall, RingCentral, Dialpad, WhatsApp Business API, LINE Official.
Deployment timeline
| Week | Activity |
|---|---|
| Week 1 | CRM audit; call source inventory; coaching rubric defined with VP Sales |
| Week 2-3 | Call ingestion pipeline; transcription accuracy tuning per language |
| Week 4 | LLM analysis prompts built and tested against 100+ historical calls |
| Week 5 | CRM custom objects deployed; manager dashboard live in staging |
| Week 6-7 | Rollout to 1 pilot team (5-10 reps); calibrate scoring rubric |
| Week 8-10 | Expand to remaining teams; train managers on the coaching workflow |
Mini-ROI
A 40-rep SaaS sales team in Singapore deployed the Copilot in week 7 of 2025. By week 26, win rate on stage-3 deals had risen 18 points (from 31% to 49%). Average deal size rose US$8,400. Annualised incremental revenue: US$3.1M against an annual cost of US$140K — a 22:1 ROI in year one.
Gartner's benchmark for AI-augmented sales coaching is a 21% lift in win rate over 12 months for fully-deployed mid-market teams.[^1] McKinsey separately estimates US$110K-US$240K incremental revenue per rep annually when AI coaching is paired with active management.[^2]
Pricing tiers
| Tier | Setup (one-time) | Monthly run cost | Best for |
|---|---|---|---|
| Starter | US$22,000 - US$38,000 | US$60-US$110 per rep/mo | Up to 25 reps, one CRM, English-only or single Asian language. |
| Scale | US$55,000 - US$95,000 | US$50-US$95 per rep/mo | 25-150 reps, multi-language, full deal intelligence + coaching. |
| Strategic | US$130,000 - US$240,000 | US$40-US$75 per rep/mo | 150+ reps, custom rubrics, multi-region, dedicated coaching analytics. |
All tiers include the manager onboarding workshop and a quarterly rubric calibration sprint.
Frequently asked questions
Will reps think this is surveillance? Frame it as coaching, not surveillance. The dashboard shows reps their own calls and trends — not other reps'. Anonymised peer benchmarks let reps see how they compare without naming anyone. Net Promoter Score among reps in our last six rollouts averaged +14.
What if our calls are in mixed Mandarin and English (or Cantonese-English)? AssemblyAI and Whisper Large v3 handle code-switching well. We tune transcription confidence thresholds per language pair. Mixed-language calls in our last benchmark transcribed at 91.2% word-level accuracy.
Can it draft follow-up emails in the prospect's language? Yes. Claude Sonnet 4.6 drafts in 12+ languages with culturally-appropriate tone (formal Japanese keigo, formal Korean honorifics, Bahasa formality registers). Reps edit before sending.
How do you avoid scoring bias? The rubric is defined by your VP Sales, not us. We test scores against blind manager evaluations of 100 historical calls and adjust until inter-rater agreement (humans vs model) hits 0.75 Cohen's kappa or above.
What happens to call recordings? Recordings stay in your cloud storage in the region of your choice. Retention follows your policy (typical: 13 months). We do not move audio across regions. Anthropic's API does not train on your data.
Does this work with our existing call recording vendor? Most likely yes. We have integrated with Gong (sidecar mode), Chorus, ExecVision, plus direct integrations to Zoom, Teams, Google Meet, Aircall, and RingCentral. If your vendor exposes a webhook or API, we can connect.
Can sales managers customise the coaching dashboard? Yes. The dashboard is built on Filament 3 with extensible widgets. Custom views, filters, and alerts are configurable without code. Most clients add 4-6 custom widgets in the first 90 days.
How is rep adoption tracked? Three metrics: % of calls transcribed and analysed, % of suggested follow-ups sent, manager 1:1 frequency. The first month is the riskiest — clients who run a weekly office-hours session with reps see adoption hit 80%+ by month two.
Where this is most often deployed
Industries where AIMenta frequently scopes this kind of solution.
Beyond this solution
Browse our other productized solutions, plus the verticals and Asian markets where they ship.
Other solutions
By industry
By Asian market
Frequently asked questions
Which CRM platforms does the Sales Enablement Copilot integrate with?
Native integrations exist for Salesforce, HubSpot, Microsoft Dynamics 365, and Zoho CRM. The copilot reads deal context, contact history, and opportunity stage in real time, and writes AI-generated call summaries and next-action recommendations back to the CRM record automatically after each meeting.
How does the AI generate personalised outreach without sounding generic?
The copilot combines three signals: the prospect's recent digital activity (website visits, content downloads, event attendance), their industry-specific pain-point library curated for APAC markets, and historical win/loss patterns from your own CRM. The result is first-draft messaging calibrated to the buyer's role, region, and deal stage — reviewed and sent by the rep, not auto-sent.
Can the copilot listen to live sales calls and provide real-time coaching?
Yes, in markets where call-recording consent is obtained (which varies by jurisdiction — we provide a compliance guide for HK, SG, JP, KR, and TW). During a call the copilot surfaces relevant case studies, objection-handling scripts, and pricing ranges in a side-panel visible only to the rep. Post-call, it auto-generates a summary and recommended follow-up tasks.
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