TRAIN YOUR AI SALES COACH

Train your AI sales coach on your process

A trainable AI sales coach is customized to your business—not a generic chatbot. Amotions AI learns your sales process, playbooks, product info, pricing, objection handling, scripts, brand voice, and tribal knowledge so real-time coaching, roleplay, and post-call feedback stay company-specific.

Generic AI gives generic sales advice. Amotions AI can be trained on your organization’s sales process, products, brand voice, terminology, playbooks, and best practices—so coaching matches how your team actually sells.

Published Updated By Pianpian Xu Guthrie, Founder and CEO

Train your AI sales coachSee the live AI sales coach

What is real-time AI sales coaching?

Real-time AI sales coaching—also called real-time AI assistance during sales calls—analyzes a live conversation and surfaces private prompts to the seller during the call: better discovery questions, AI objection handling and rebuttal suggestions, listening cues, and next-best actions—so the rep can adjust before the opportunity is lost.

Why generic AI fails on live sales calls

Off-the-shelf models do not know your discovery framework, your “think about it” rebuttal, or how your team prices. A customizable AI sales coach closes that gap.

Generic advice ignores your process

“Ask better questions” is not useful if your playbook already defines the next stage after discovery.

Product and pricing stay vague

Without your product info and pricing guardrails, suggestions drift into features or discounts you do not offer.

Brand voice gets diluted

Scripts and approved responses exist for a reason. Company-specific coaching should sound like your team—not a default chatbot.

Tribal knowledge never reaches the call

Industry terminology and hard-won close patterns live in Slack and top-rep heads unless you train the coach.

What your organization can provide

Enablement and sales leaders already have the materials. Amotions is designed so that knowledge becomes coaching—not a second wiki reps never open mid-call.

  • Sales playbooks
  • Discovery frameworks
  • Qualification criteria
  • Product info
  • Pricing
  • Objection handling
  • Approved responses
  • Scripts
  • Closing frameworks
  • Brand voice
  • Industry terminology
  • Company tribal knowledge

What trained knowledge powers

Once Amotions knows how your team sells, the same company context shows up across the coaching loop—not only in a single feature.

Real-time call coaching

Private in-call prompts that follow your stages, language, and approved responses while the buyer is still talking.

AI roleplay

Practice against prospects that use your products, pricing, and objections before the live risk.

Pre-call preparation

Brief reps on the talk track, qualification criteria, and brand voice for the conversation ahead.

Post-call coaching

Feedback tied to your playbook—not a generic scorecard that ignores how you define a good call.

Manager insights

Visibility into where reps diverge from the process you trained the coach to reinforce.

See the difference: generic AI vs trained Amotions AI

Pick a stage in your sales process and a knowledge source. The prospect line stays the same—the coaching quality does not. Illustrative demo only; not a live model response.

Hardcoded illustrative responses keyed to stage + knowledge. Not a customer call or live LLM output.

Step 1: Your sales process

Discovery → Qualification → Demo → Trial Close → Objection → Close

Step 2: Your company knowledge

Step 3: Simulated prospect

Prospect

I'm interested, but I need to think about it.

Generic AI

Ask the prospect what they need to think about.

Amotions AI (trained)

Use your approved “think about it” response: acknowledge, isolate (fit / timing / authority / risk), then answer only the named concern.

Full trained response library

Prospect: “I'm interested, but I need to think about it.”. Generic AI: “Ask the prospect what they need to think about.”.

  • Stage Discovery, knowledge Playbook: “Stay in discovery: acknowledge the pause, then ask which discovery gap still feels unresolved—using your playbook’s “interest without clarity” branch before you advance.
  • Stage Discovery, knowledge Product knowledge: “Do not pitch features yet. Ask which product outcome they still need to understand before they can decide—tie the follow-up to the capability they already hinted at.
  • Stage Discovery, knowledge Objections: “Treat “I need to think” as an early soft objection. Clarify whether they are unsure about fit, timing, or stakeholders—per your discovery objection tree.
  • Stage Discovery, knowledge Scripts: “Use your approved discovery script: “Happy to pause—what specifically do you want to think through so we cover it while we’re together?”
  • Stage Discovery, knowledge Pricing: “If pricing has not been introduced, do not lead with cost. Ask whether the rethink is about value vs alternatives, or whether budget owners are still unknown.
  • Stage Discovery, knowledge Brand voice: “Respond in your consultative voice: calm, specific, and buyer-led. Invite them to name the open question without pressure or a hard close.
  • Stage Qualification, knowledge Playbook: “Map the stall to qualification: ask which BANT/MEDDIC-style criterion is incomplete—budget, authority, need, or timeline—using your team’s stage exit criteria.
  • Stage Qualification, knowledge Product knowledge: “Confirm whether the product use case is qualified. Ask which success criteria still feel fuzzy before they take time offline.
  • Stage Qualification, knowledge Objections: “Probe the real concern behind the stall: is it priority, risk, or missing stakeholders? Match your qualification objection labels, not a generic “think about it.”
  • Stage Qualification, knowledge Scripts: “Run the qualification hold script: “Totally fair—on a scale of fit vs timing, which part needs more thought so we qualify the next step correctly?”
  • Stage Qualification, knowledge Pricing: “Check whether price was a silent qualifier. Ask if they have a range or approval path, without volunteering a discount.
  • Stage Qualification, knowledge Brand voice: “Keep the brand tone: precise and respectful. Frame the question as helping them qualify—not trapping them into a yes.
  • Stage Demo, knowledge Playbook: “Per your demo playbook, close the loop on what they saw: ask which capability still needs proof before they can decide, then offer a targeted recap—not a full re-demo.
  • Stage Demo, knowledge Product knowledge: “Anchor on the product moment that mattered. Ask which workflow they want to re-check so “thinking about it” becomes a concrete product question.
  • Stage Demo, knowledge Objections: “After a demo, “think about it” often hides a missing proof point. Ask if the concern is capability, integration, or change management—using your post-demo objection list.
  • Stage Demo, knowledge Scripts: “Use the post-demo script: “What would you need to see again—or from another stakeholder—before this feels ready to decide?”
  • Stage Demo, knowledge Pricing: “If pricing was shown, ask whether the rethink is package fit, total cost of ownership, or comparison to status quo—stay inside approved pricing language.
  • Stage Demo, knowledge Brand voice: “Stay confident and helpful: invite a specific follow-up on the demo takeaway rather than a vague “let me know.”
  • Stage Trial Close, knowledge Playbook: “Your trial-close playbook says to test commitment, not retreat. Ask what would need to be true to move forward this week, then propose a dated next step.
  • Stage Trial Close, knowledge Product knowledge: “Confirm the product value is clear enough to trial-close. Ask which outcome they would measure in the first 30 days if they said yes.
  • Stage Trial Close, knowledge Objections: “Isolate the blocker: “Is this a no for now, or a yes with one open item?” Match the answer to your trial-close objection paths.
  • Stage Trial Close, knowledge Scripts: “Use the trial-close line: “If we solved X, would you be ready to start—or is there another decision still open?”
  • Stage Trial Close, knowledge Pricing: “Offer an approved commercial path only if price is the named blocker—package options or payment timing, never an ad-hoc discount.
  • Stage Trial Close, knowledge Brand voice: “Keep urgency without hype. Sound like a trusted advisor testing readiness, not a closer forcing a signature.
  • Stage Objection, knowledge Playbook: “Enter your objection-handling stage: label “I need to think about it,” then ask for the primary concern category your playbook defines before answering.
  • Stage Objection, knowledge Product knowledge: “If the objection is product-related, ask which capability or risk they want to stress-test—then point to the proof your product knowledge supports.
  • Stage Objection, knowledge Objections: “Use your approved “think about it” response: acknowledge, isolate (fit / timing / authority / risk), then answer only the named concern.
  • Stage Objection, knowledge Scripts: “Deliver the approved rebuttal script: “When people say that, it’s usually one of three things—which feels closest for you?”
  • Stage Objection, knowledge Pricing: “If price is the hidden objection, clarify budget vs value. Stick to approved pricing ranges and trade-offs; do not invent concessions.
  • Stage Objection, knowledge Brand voice: “Handle pushback in brand voice: empathetic, clear, and non-defensive. Never argue; invite the real concern.
  • Stage Close, knowledge Playbook: “Follow your closing framework: confirm mutual commitment criteria, then ask what remains before they can choose a start date.
  • Stage Close, knowledge Product knowledge: “Re-anchor on the agreed product outcome. Ask if anything about delivery, onboarding, or success criteria still needs clarity before close.
  • Stage Close, knowledge Objections: “At close, “think about it” is often last-mile risk. Ask whether the open item is legal, security, or executive sign-off—then route per your close objection map.
  • Stage Close, knowledge Scripts: “Use the close script: “What would make today the right day to move forward—and who else needs to be comfortable?”
  • Stage Close, knowledge Pricing: “Confirm commercial terms are clear. If price is the only open item, present the approved close package—no freestyle discounting.
  • Stage Close, knowledge Brand voice: “Close in your brand voice: direct, respectful, and clear about next steps. Invite a decision without pressure language.

How teams train Amotions AI

  1. Step 1

    Share your sales process

    Map stages—discovery, qualification, demo, trial close, objection, close—so live coaching follows your sequence.

  2. Step 2

    Load company knowledge

    Provide playbooks, product info, pricing, scripts, objection handling, brand voice, and tribal knowledge.

  3. Step 3

    Coach across the full loop

    The same trained context powers real-time call coaching, AI roleplay, pre-call prep, post-call feedback, and manager insights.

For live in-call positioning, see the live AI sales coach. For the broader product loop, open the Amotions AI product overview.

Ready to customize coaching to your business?

Train Amotions on your playbooks and process so reps get company-specific help on live calls—not generic advice.

Frequently asked questions

What is a trainable AI sales coach?

A trainable AI sales coach is customized to your organization instead of giving one-size-fits-all tips. Amotions AI can be trained on your sales process, playbooks, products, pricing, objection handling, scripts, brand voice, and tribal knowledge so coaching stays company-specific.

How is Amotions different from generic ChatGPT-style sales advice?

Generic AI does not know your discovery framework, approved responses, or pricing guardrails. Amotions is built so enablement can load that context—then use it in real-time call coaching, AI roleplay, pre-call prep, and post-call feedback.

What knowledge can we train the AI sales coach on?

Teams typically provide sales playbooks, discovery frameworks, qualification criteria, product info, pricing, objection handling, approved responses, scripts, closing frameworks, brand voice, industry terminology, and company tribal knowledge.

Does training power real-time AI sales coaching on live calls?

Yes. Trained knowledge is meant to show up as private in-call prompts that follow your process and language while the buyer is still talking—not only as a post-call summary.

How do we start training Amotions on our sales playbook?

Contact the Amotions team to walk through your process and knowledge sources. The goal is a customizable AI sales coach aligned to how your BDRs, SDRs, and AEs already sell.

Live AI sales coach

Private in-call coaching that helps reps know what to say next on live calls.

Amotions AI product overview

How live coaching sits with AI roleplay and post-call feedback.

Sales discovery coach

Train discovery stages so live prompts uncover pain, impact, and next steps.

AI sales roleplay

Practice with company-specific products, pricing, and objections before live calls.

Sales discovery playbook

A public discovery sequence teams can align with live coaching.

AI sales training

Build skills with practice and feedback tied to your talk tracks.

Enterprise AI sales coaching

Process-aware coaching for complex B2B discovery and buying cycles.

Train your AI sales coach

Walk through loading your process, playbooks, and brand voice into Amotions.

Train your AI sales coach