Unified Customer Memory

Give AI agents and human teams a unified profile, memory, and timeline for every customer.

Unified customer profile
Source-backed memory
Closed-loop learning
Live audience groups

Complete customer state before the reply.

Profile, memory, segments, and recommended actions assembled automatically — before an agent or teammate responds.

01

Profile

Identity, orders, subscriptions, support history, economics, owner, and consent come together before the next reply.

02

Memory

Source-backed context travels across future conversations so agents remember what the customer values and what worked last time.

03

Groups

VIPs, at-risk subscribers, high-cost customers, and save audiences update continuously with LTV, cost, CSAT, and revenue impact.

04

Actions

Recommendations include the reason, approved path, owner, status, and result so the CRM learns from every intervention.

Memory, groups, and actions — a CRM built for AI.

MEMORY

Recall the customer before the reply is written.

Applied CRM retrieves the few source-backed memories that change how an agent responds in the moment.

  • Profile and history. Identity, orders, subscriptions, and prior outcomes.
  • Fit and preferences. What worked last time, retrieved and attached to the reply.
  • Source-backed. Every memory item carries its source for audit and context.

Ava Collins

Source-backed customer memory

RETRIEVED FOR REPLY
Fit preferenceEXCHANGE NOTE

Tall length, soft fabrics, no boxed replacement.

Next replyPOLICY + ORDER

Use prior save context, loyalty credit, and preferred size.

Attached to the draft reply with sources
GROUPS

Build groups around value, risk, and relationship history.

CX teams ask for the customers that matter now and see economics, service cost, and save movement without exports.

  • Live audiences. VIPs, at-risk, high-cost, and loyalty-ready segments update continuously.
  • Economics. LTV protected, cost to serve, save rate, and refund leakage.
  • Movement. Watch at-risk customers become save-ready over time.
Live customer groups

Segments update around value, risk, service cost, and save movement.

Matched customers
428

live audience

Save value
$412k

protected LTV

Movement
+23

saves this week

Audience movement

Risk becomes a save-ready audience.

At riskSave ready
W1W2W3W4W5W6
At-risk VIP subscribers
184 customers / $412k
High-cost refund loop
67 customers / $96k
First-order fit risk
119 customers / $138k
Loyalty recovery ready
58 customers / $74k
ACTIONS

Turn memory into a governed action and outcome.

Each recommendation carries evidence, classification, owner, status, and writeback so the next interaction starts smarter.

  • Evidence and classification. Risk decision, policy path, and customer record attached.
  • Owner and status. Routed to the right queue with approval controls.
  • Writeback. Outcome, save reason, and next preference feed future recall.
Recommended action
Approval ready

Keep the exchange, protect the subscription, and write the result back.

Customer
Ava Collins / VIP subscriber
Evidence
Order #8421, transcript, fit preference, consent
Owner
Maya Tan / retention queue
Controls and writeback
Policy path allowed
Credit below approval limit
Consent and source attached
Status
Ready for approval
Writeback
Outcome, save reason, next preference

One readout for memory, action, and revenue.

The CRM makes the practical business case visible: what the system knows, what action it recommended, and what value was protected.

Customer intelligence

Profile, timeline, source-backed memory, consent, and relevant context before the reply.

Business outcome

Revenue saved, LTV protected, cost to serve, save rate, CSAT, and refund leakage.

Risk decision

Abuse risk, churn risk, operational failure, and loyalty recovery are separated before action.

Closed-loop learning

Action, owner, outcome, and what worked feed future recall and recommendations.

See the customer record your agents can use

See the customer record your agents can use.

Map the memory, controls, handoffs, and writeback your team needs before launch.