Kelvia Customer Memory

Persistent context for every customer, on every channel.

AI stops treating every call like the first one. Kelvia remembers preferences, history, consent, and pending actions so voice, WhatsApp, webchat, and forms work with the same context.

Voice + chat unifiedReusable preferencesBuilt for privacy

Sofia Martin

Recognized profile

Ready
Useful facts
preferred_channelWhatsApp
preferred_timeafternoons
usual_servicedental cleaning
last_intentreschedule
Timeline

Called to move a booking

voice - 3 days ago

Confirmed the new time

WhatsApp - 2 days ago

Accepted reminders

consent - active

Next best action

Offer an afternoon follow-up check-up and confirm it over WhatsApp.

Without memory

Customers repeat their story
Staff search for notes manually
Follow-ups depend on someone remembering

With Customer Memory

AI recognizes previous context
Every channel shares operational history
The next action is already prepared
Workflow

How a conversation becomes useful memory

Kelvia does not store noise. It structures facts, events, and consent that can improve the next interaction.

01

Capture signals

AI detects preferences, intent, usual services, and important changes during calls or chats.

02

Structure context

Data becomes memory facts, events, and a customer profile tied to the right tenant.

03

Act with continuity

The next conversation starts with context: favorite channel, recent actions, and recommendations.

Trust

Memory with operational control

Customer Memory is designed to be useful without becoming a black box.

Tenant-scoped

Context stays inside the business tenant.

Consent-aware

Channels and purposes respect customer permissions.

Auditable

Relevant memory changes stay traceable for the team.

Make every conversation start ahead.

Customer Memory turns scattered conversations into a continuous relationship.