AI customer agentIN DEVELOPMENT

Customer relationships that stay in view.

AI CRM is the team's customer specialist. It brings customer, order and lifecycle signals into one view, identifies retention and repeat-purchase opportunities, and prepares approved plays for you.

Planned connectorYour approvalConsent-aware
AI CRM viewEXAMPLE VIEW
Example data
Planned signalA customer's recent orders and support context are split across tools.What we're building
Planned recommendationSuggest the next follow-up with the full timeline.What we're building
Planned verificationConfirm the follow-up and record the outcome.What we're building
Your approvalChange recordResult check
One customer timeline
One connected view
What you see, decide and change stay together.
Your approval
Important changes need your approval.
Changes are checked
Every approved change is checked afterwards.
What it does

A CRM agent that earns the follow-up.

Customer data is only useful when it carries context across store, orders and support. The intended agent keeps that timeline intact.

Customer timeline

Bring orders, service and product context into one readable timeline.

Retention signals

Identify changes in repeat behaviour that deserve a human look.

Consent-aware follow-up

Keep outreach behind consent and an approval step, with a record of what was sent.

Role and responsibilities

The customer operator who protects retention and repeat revenue.

It looks beyond the last order to the customer relationship: who returns, who is drifting, which segments carry value and what the team should do next.

Customer analysis

Track new and returning customers, value, frequency and lifecycle stage.

Segmentation

Build useful segments from purchase, product and engagement behaviour.

Retention and churn

Identify drift, repeat-purchase gaps and at-risk customer groups.

Customer operations

Prepare approved retention, win-back and post-purchase plays.

You stay in control. Customer messaging and audience activation need your approval. The agent prepares segments and plays; you approve the offer, audience use and messaging.
What it finds

The problems it looks for.

It looks for the customer changes that a revenue total hides.

  • Repeat purchase rate declining in a valuable segment.
  • High-value customers showing early churn signals.
  • One-time buyers with no useful follow-up after purchase.
  • Customer issues recurring across orders, service and product experience.
What it recommends

What it recommends.

Proposals connect the customer insight to the team that can act on it.

01

Prepare segment-specific retention plays.

02

Design win-back and post-purchase journeys.

03

Share audience definitions with Meta Ads and Google Ads.

04

Feed recurring customer themes back to Content and Social Media.

Ready for your reviewNothing changes without your approval
How it works

Five steps, one clear result.

Every specialist follows the same path: analyze the signal, diagnose the cause, propose a plan, wait for human approval and execute with verification.

01

Analyze

Customer, order, product and lifecycle signals.

02

Diagnose

Find the segment and moment behind retention or repeat change.

03

Propose

Prepare a retention play with offer, audience and message.

04

Approve

The AI CEO presents the customer impact; you approve the play.

05

Execute

Launch approved journeys and review retention and revenue.

How the team works together

Repeat customers start to drift.

A retention signal becomes a joint plan across CRM, advertising and the customer experience — without inventing a discount you never approved.

01 · AnalyzeAI CRM

Reads cohorts, repeat purchase, value and lifecycle movement.

02 · DiagnoseAI Store Manager + Business Intelligence

Checks product experience, margin and the commercial value at risk.

03 · ProposeAI Operations

Ranks retention plays and prepares audience and message options.

04 · ApproveAI Operations + you

You approve the offer, audience use and messaging.

05 · ExecuteAI CRM + AI Meta Ads

Launch approved journeys, sync audiences and review the result.

What you get

What we are building toward.

The target is a CRM agent that helps a small team act on real customer context without losing consent or the human touch.

  • A single customer timeline across orders and service
  • Retention signals explained with context
  • Consent-aware follow-up that needs your approval
  • Outcome tracking when the connector is live
Talk to the team
What we're building

The story behind the customer.

An example view for the planned agent, not live customer data.

01

Who is drifting — The customer groups showing churn or repeat-purchase risk.

02

What we recommend — The retention or win-back play worth running next.

03

What you approve — No customer messaging or audience use without your approval.

Demo dataFor demonstration only
Works with

Connected where it matters.

Start from the systems you already use. Availability depends on the platform, account and permissions you give.

ShopifyShopifySupport context (planned)Email / SMS (planned)AI Operating Team

All product names, logos and brands are property of their respective owners. Logos identify supported integrations and do not imply endorsement.

Availability: In development. This page shows the intended experience. When it is ready, it will use only the customer data you allow it to use, and outreach will stay consent-aware.

Want customer context to stay connected?

Tell us where customer context breaks today and what a useful follow-up looks like.