AI sales reply handling
Most outbound tools stop at the first email. Replies are where deals start.
Kryva is designed to continue the conversation using what your business actually knows — and to stop when it should not answer alone.
In short
What AI reply handling means in Kryva.
AI sales reply handling is the step after a prospect responds: interpreting the reply, answering with approved seller knowledge and deciding whether to qualify, ask for a meeting or bring in a person. Generic AI email writers usually draft the first message only; Kryva connects the reply to the same Business Brain used for outreach.
- 1. Read the reply
- The workflow classifies what the prospect said: an objection, interest, a request for information, or something that needs a person.
- 2. Use approved knowledge
- Answers draw on your Business Brain — positioning, products, approved battlecards and case studies — rather than generic sales copy.
- 3. Choose the next step
- It proposes qualification, a meeting request or human help, framed in neutral, outcome-first or detail-first language.
- 4. Approve or escalate
- In approval mode a person signs off before anything is sent. Replies asking for guarantees, legal commitments or unsupported claims are paused for a human.
Current limits
What to confirm before you rely on it.
- Email is the initial channel to evaluate; LinkedIn, voice and WhatsApp are not presented as available.
- Intent categories, approval defaults and automatic sending rules should be confirmed for your account during a demo.
- The homepage example is a labelled simulation. It does not use live AI or send email.
Questions
How is Kryva different from a generic AI email writer?
Kryva's approach connects seller knowledge with prospect context, outreach and replies. The sample shows why your positioning and objection guidance change the conversation, rather than just the first line.
How does reply handling work?
The workflow interprets a prospect's response, uses seller knowledge to address it and proposes qualification, a meeting request or human help. Our interactive example is a simulation; it does not send emails.
For Kryva team review: Confirm current intent categories, approval defaults and automatic sending rules.
How does Kryva use DISC-informed communication?
DISC informs how a conversation may be framed—for example, outcome-first or detail-first. It is guidance, not a definitive diagnosis. Use neutral language when a preference is uncertain.
For Kryva team review: Confirm current confidence indicators and opt-out controls.
What happens when Kryva cannot confidently answer a prospect?
The demonstration pauses for a human when a reply asks for unsupported guarantees or legal commitments. It illustrates the intended boundary, not verified production fallback behavior.
For Kryva team review: Confirm escalation triggers, who receives them and whether sending pauses in the current product.