Agentic (AI)

A layer that works on the customer by itself

AI agents wired to a shared customer-lifecycle logic - they recover, refer and build loyalty, lifting LTV and cutting churn with no work for your team.

This is a development direction (the AI roadmap) - some agents are already live, others we roll out in stages. Each is clearly marked Live or Soon.

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Agents

Five agents and one dashboard

Feedback agent (NPS)

Live· in development

Measures satisfaction once payments settle and guides the customer further through the lifecycle.

Referral agent (member-get-member)

Live· in development

Member-get-member: the customer brings in new paying customers. A viral loop driven automatically.

Anti-churn agent

Soon

Acts proactively on at-risk customers before they cancel.

Winback agent

Soon

Recovers customers after cancellation and builds analytics on churn reasons.

Review agent

Soon

Collects public reviews from happy customers - social proof for the brand.

"Customer Health" dashboard

Soon

One view: NPS trend, churn reasons, referral effectiveness and recovery. A ready picture of subscription revenue for the team.

Who it's for

For teams that want revenue to work by itself

Services

Automatic anti-churn and referrals with no work for the front desk.

Publishers

Subscription winback and analytics on cancellation reasons.

E-commerce

Review and referral drive social proof and new sales.

B2B

Customer Health as an early risk signal on accounts.

FAQ

Common questions about the agentic layer

Are the AI agents live already?+

Some are: the Feedback (NPS) and Referral agents are available and in development. Anti-churn, Winback, Review and the Customer Health dashboard roll out in stages - each marked Soon.

Do I need a team to run the agents?+

No. The agents run on a shared customer-lifecycle logic and work in the background - with no work for your team.

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Build an AI layer over your revenue

Feedback, referral, anti-churn, winback and review agents - wired to one Customer Health dashboard.

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See pricing

A layer that works on the customer by itself - Zevio