The AI is in Sarah's earpiece — not in the seat.
Sarah is the human in the room. David is a fee-conscious prospect comparing her firm to a robo-advisor. The AI doesn't talk to David — it whispers to Sarah, while she does. An autonomous agent would have handled David's email. Sarah handles the seven-figure conversation.
Sample report · David Chen demo session. The Whisper Coach is silent — only Sarah sees it. David hears only Sarah's words. This is not an AI talking to a prospect. This is a human elevated by an AI that knows when she's about to miss a beat.
What the AI measured, while the human did the talking.
Sarah talked. The AI listened, scored, and surfaced cards — and, on the back end, mapped what each of Sarah's sentences did to David's openness. Turn by turn. This is the Engagement Arc — what the AI measured about the prospect's emotional response to the human in the seat.
Two different jobs. Two different AI.
Agentforce and Parlare aren't competitors in the strict sense — they solve different problems on different ends of the conversation spectrum. The table shows where each fits.
Which AI belongs in the room?
A well-architected stack uses both — Agentforce on the routine, Parlare on the high-stakes. Here are three conversations and where each one belongs.
"Where's my order?" — a Tier-1 support ticket.
A discovery call with a seven-figure prospect's CFO.
A performance 1:1 with a senior IC who's defensive.
When Agentforce is the right choice.
Agentforce is genuinely good at what it's designed for. Pretending otherwise is sales theater — and you'd see through it.
Your priority is automating routine work, not elevating humans.
- You have high-volume Tier-1 work — support tickets, FAQ deflection, scheduling, lead qualification — and you want hours back, not better humans.
- You're already deep in Salesforce Enterprise and want one platform of record for your service operations.
- Your bottleneck is "we have too many tickets per rep" — not "our humans sound the same in every high-stakes conversation."
- You can underwrite the consumption pricing — and the multi-month topic configuration, training, and handoff design that goes with it.
We make sure your humans don't fumble the moments that matter — while they're still in them.
Multi-month agent rollout. Or behavioural change by Friday.
A VP of Sales can put five reps in Parlare practice this afternoon — no SF Enterprise edition, no topic configuration, no security review — and hear the difference on Monday's calls. That's a different procurement path than rolling out an autonomous agent.
Enterprise agent rollout.
- ~$125–$150 per user per month + $2 per agent conversation
- Salesforce Enterprise edition (or above) required
- Per-agent topic ceiling (~15) — multi-agent orchestration for broader scope
- Topic configuration, training data, handoff design
- Security & infosec review for agent autonomy
- Multi-month implementation timeline
Coach the humans this week.
- $24.99/mo Coaching · $69.99/mo Sales — flat per seat
- No CRM dependency — works with any call tool
- No topic ceiling — every high-stakes conversation type
- No agent training or handoff design — Parlare coaches the human, not the bot
- Self-serve via Stripe, no procurement loop
- First Whisper Coach card on a real call within the week
Run Parlare on the call no agent could handle.
Book 20 minutes. Bring a real discovery call, renewal save, or hard 1:1 — your transcript, not ours. We'll run Parlare's scoring engine against it and show you the Engagement Arc, the framework gaps, and the Gold Standard Rewrite of the moment you'd want back. Your humans, your data, your stakes.
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