Features · Memory

Agents that remember the last conversation

SvaraCall memory stores caller context across calls — last promise-to-pay date, preferred language, open ticket — so follow-ups feel continuous, not cold.

  • Cross-call
  • CRM-aware
  • Consent-scoped
  • TTL control

Cross-call

Context carries to follow-up dials

CRM

Syncs with contact timeline fields

TTL

Configurable retention per data class

DPDP

Delete-on-request supported

Problem

Every AI call feels like the first — customers hate it

A customer promised to pay Friday. Monday's AI asks again from scratch. Trust erodes. Indian collections and healthcare follow-ups need continuity without building custom CRM middleware.

Today

How context persists today

  1. 1Reps read CRM notes if they exist — AI has no shared memory.
  2. 2Each dialer campaign treats every call as net-new.
  3. 3Callback scripts ignore what the customer said yesterday.
  4. 4No unified delete path when customers exercise DPDP rights.

With SvaraCall

How SvaraCall memory works

  1. 1Key facts extract from each call — dates, amounts, preferences, objections.
  2. 2Memory attaches to contact ID with TTL and consent scope.
  3. 3Next call loads context — agent references prior promise naturally.
  4. 4Deletion API clears memory on opt-out or erasure request.

Why memory improves outcomes

  • Higher PTP keep rates

    Collections calls reference agreed dates instead of restarting negotiation.

  • Warmer follow-ups

    Lead nurture picks up mid-funnel — not from cold openers.

  • Less repetition

    CSAT rises when customers are not asked the same question twice.

  • Privacy control

    TTL and erasure hooks align with DPDP data-minimization expectations.

Memory ROI

Higher promise-to-pay adherence with contextual follow-up
20%

Higher promise-to-pay adherence with contextual follow-up

Shorter average talk time on repeat contacts
15%

Shorter average talk time on repeat contacts

Memory scoped to workspace consent rules
100%

Memory scoped to workspace consent rules

Erasure on verified DPDP request
Instant

Erasure on verified DPDP request

Enable agent memory

  1. Step 1

    Define memory fields

    Choose what to persist — PTP date, language pref, open case ID.

  2. Step 2

    Set TTL policies

    Auto-expire sensitive facts; keep benign prefs longer if allowed.

  3. Step 3

    Wire CRM sync

    Mirror memory to CRM custom fields for human rep visibility.

  4. Step 4

    Test continuity

    Run two-call pilot — verify second call references first naturally.

Memory FAQs

Is memory shared across campaigns?
Yes, scoped to the contact within your workspace — so follow-up campaigns inherit prior context.
How does memory comply with DPDP?
TTL limits, purpose binding, and erasure APIs let you delete stored facts on request.
Can humans see what the AI remembers?
Memory fields sync to CRM and appear in the call detail view for reps.
What if memory is wrong?
Reps and admins can override or clear fields; corrections propagate to the next call.

Follow up with context

Book a two-call pilot — see memory carry from first dial to scheduled follow-up.

Hear it call.

We'll place a live SvaraCall to your own phone, in Telugu, Hindi, or English.

Book a pilot

Get a demo call

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