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🔜 April 2026 (full)
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By Persona
Who uses Ask Empower V2, and how
Real questions from real users — show prospects exactly what a day with Ask Empower V2 looks like
💼
Sales Representative
Account prep, deal risk, follow-up intelligence
Before my next meeting with @Acme Corp, summarize every important concern mentioned across their calls and meetings. Highlight pricing sensitivity, integration concerns, timeline risk, and any stakeholder objections.
→ Full account context before every meeting
Review all conversations linked to @Acme Corp and tell me who sounds like the strongest champion, who is skeptical, and which stakeholders we still need to influence.
→ Stakeholder map from conversation data
Find moments from similar deals where prospects raised @Integration Concern or @Pricing Concern. Show me the best responses used by top reps and turn them into a short prep brief for my next call.
→ Proven objection responses from winning deals
💡 THE VALUE IN ONE LINE
"Every rep walks into every meeting knowing more, follows up faster, and never loses deal context again."
Based on my last 3 calls with @Acme Corp, draft a follow-up email that reflects their real priorities, objections, and agreed next steps.
→ AI follow-up grounded in actual conversation
Looking at all conversations for @Acme Corp, where are we under-threaded? Tell me which roles are involved, which are missing, and where risk increases because we're relying on too few contacts.
→ Deal risk from stakeholder gap analysis
Has sentiment with @Acme Corp improved or worsened across the last 4 conversations? Show the evidence and explain what changed.
→ Sentiment trend across the full account history
📈
Head of Sales / Sales Manager
Team performance, deal risk, competitive insight
Compare the performance of @Alice, @Ben, and @Chloe over the last 30 days. Show me who handles pricing objections best, who asks the strongest discovery questions, and who is most likely to leave next steps unclear.
→ Side-by-side rep performance from real calls
Analyze all calls from @SMB Sales Team in the last 2 weeks and tell me the top 3 coaching priorities. Include examples of where reps lose control of discovery, skip pain validation, or fail to confirm next steps.
→ Team skill gaps surfaced automatically
Across all calls tagged @Pricing Objection and @Competitor Mention, what patterns do you see in how our team responds? Which reps handle these moments best, and what do top performers do differently?
→ Systemic objection handling insight
For @Mid-Market Team, review calls tagged @Discovery and tell me how consistently reps follow our sales methodology. Show where they miss business pain, decision criteria, timeline, or mutual action plan.
→ Methodology compliance across the team
💡 THE VALUE IN ONE LINE
"A sales manager reviews 3x more calls in the same time, with AI surfacing what matters — not gut feel."
Look at calls linked to opportunities flagged @Late Stage for the past month. Which deals show signs of risk based on weak next steps, unclear champions, pricing pushback, or missing executive alignment?
→ Hidden deal risk from conversation signals
Find 5 strong examples from @Top Performers where reps handled pricing pressure without discounting too early. Summarize the pattern and give me clips I can use in coaching.
→ Best-practice library built from real calls
Across calls tagged @Competitor Gong and @Competitor Modjo, what themes are prospects bringing up most often? Summarize the objections, comparison points, and what responses seem to move deals forward.
→ Live competitive intelligence from your calls
Give me a weekly performance review for @AE Team. Show volume, quality trends, common deal blockers, strongest reps, weakest reps, and the 3 moments I should review first as a manager.
→ Full team review without watching every call
🎧
Customer Support Manager
Issue detection, CSAT, compliance, coaching
Analyze all interactions from @Support Team over the last month. Show me who is strongest at de-escalation, who resolves issues fastest, and where customers most often leave frustrated.
→ Performance benchmarking across the support team
Across all conversations tagged @Escalation and @Negative Sentiment, what are the top recurring root causes? Group them into product issues, process failures, handoff problems, and agent behavior.
→ Root-cause clustering from escalation data
Review support calls for @Support Team and tell me the top 5 coaching opportunities. Focus on empathy, ownership, clarity of resolution, and whether agents confirm customer understanding before closing.
→ QA priorities without manual call review
Find accounts with repeated support interactions in the last 30 days. Show me where sentiment is declining, where resolution quality is weak, and which customers may be at churn risk.
→ Churn risk detection from support patterns
💡 THE VALUE IN ONE LINE
"Support managers stop firefighting and start pattern-matching — fixing root causes, not individual tickets."
Analyze calls tagged @Refund Request and @Policy Exception. Where are agents deviating from our support standards or creating inconsistency in how policies are explained?
→ Compliance gap detection at scale
Find 10 examples where agents in @Support Team turned difficult conversations into positive outcomes. Summarize what they did well and create coaching takeaways for the rest of the team.
→ Best-practice extraction for team coaching
Review interactions tagged @Escalation and tell me where the handoff from first-line support to specialist teams is breaking down. Include examples and patterns.
→ Handoff failure mapped from conversation data
👥
Recruiter / Talent Acquisition
Candidate intelligence, screening quality, team benchmarking
Compare @Recruiter Team over the last 30 days. Who runs the most structured screening calls, who explains roles most clearly, and who creates the strongest candidate engagement?
→ Recruiter performance benchmarked from real calls
Across all conversations tagged @Candidate Drop-off or @No Show, what patterns do you see? Are candidates dropping because of compensation, timeline, role clarity, recruiter follow-up, or interview process friction?
→ Drop-off root cause from conversation signals
Review recruiter screening calls from @Recruitment Team and tell me whether recruiters are consistently assessing motivation, relevant experience, salary expectations, notice period, and role fit.
→ Screening quality control across the team
Analyze conversations between recruiters and hiring managers. Where do we see misalignment on candidate profile, urgency, interview feedback, or must-have criteria?
→ Hiring manager alignment gaps surfaced
💡 THE VALUE IN ONE LINE
"Recruiters stop relying on memory and start making decisions from structured conversation intelligence."
Look across all candidate calls this quarter. What are the most common positive and negative reactions to our hiring process, employer brand, role scope, and compensation positioning?
→ Candidate sentiment intelligence at scale
Find strong examples where recruiters handled compensation pushback, role ambiguity, or candidate hesitation well. Summarize what worked and give me clips to use in training.
→ Best-practice coaching library from real calls
For roles tagged @Sales Hiring and @Support Hiring, compare recruiter performance, candidate sentiment, and reasons candidates drop out. Show where our process is strongest and weakest.
→ Search health comparison across hiring tracks
🏆
Sales Coach / Enablement Manager
Skill gap analysis, framework adherence, coaching at scale
Review calls from @New Hires over the last month and tell me the top 5 skill gaps. Focus on discovery depth, objection handling, confidence, next-step control, and talk-to-listen balance where relevant.
→ Skill gap analysis across the new hire cohort
Based on calls tagged @Pricing Objection, create a coaching module for sales reps with examples of weak responses, strong responses, and a simple framework to improve.
→ AI-generated coaching content from real calls
Split @Sales Team into coaching groups based on their biggest development needs. Tell me who needs help with discovery, who needs objection handling support, and who needs better deal control.
→ Data-driven coaching segmentation
💡 THE VALUE IN ONE LINE
"Coaches stop reviewing random calls and start running data-driven, personalised development programmes."
Analyze calls tagged @MEDDICC and show which reps consistently apply the framework and which skip critical elements.
→ Framework adherence tracked across every call
Compare @New Hires' last 10 calls vs their first 10 calls. Where have they improved, and what still needs work?
→ Improvement tracking that proves coaching ROI
Competitive Positioning
How to win against the market
Scroll for all competitors — Where they're strong, Silver bullets, Pitch line to win
One strategic message to repeat
Empower is the only platform combining telephony + conversation intelligence + AI assistant in one system. Competitors usually provide one of the three.
Empower can analyse both audio and video calls without recording them — very useful for sensitive industries where call recording is forbidden.
🛡️ Empower's Structural Moat — Lead with this in every pitch
Native Telephony
Every competitor integrates with a phone tool. Empower IS the phone tool — 100% capture, zero setup.
European Data
GDPR-compliant, EU data residency, multilingual transcription and analysis by design.
Multi-Vertical
Sales + Support + Recruitment. One platform, three teams, one subscription.
Price Accessible
No $50K platform fees. No 15-seat minimums. Real value from day one, at any team size.
Handle the Hard Questions
⚠️ What NOT to Promise